Investigations on Power Quality Disturbances Using Discrete Wavelet Transform
|
|
- Constance Pitts
- 6 years ago
- Views:
Transcription
1 I J E E E Interntionl Journl of Eletril, Eletronis ISSN No. (Online): nd omputer Engineering (): 47-53(13) Investigtions on Power Qulity Disturnes Using Disrete Wvelet Trnsform hvn Jin, Shilendr Jin nd R.K. Nem Deprtment of Eletril Engineering, MNIT hopl, (M.P.) (Reeived 7 June, 13, epted 5ugest, 13) STRT: Extensive use of power eletroni devies nd non-liner lods in eletril power system use prolem of power qulity (PQ). Renewle energy soures re lso integrted to the grid through power eletronis sed equipment. So the power qulity issues re drwing ttention in reent yers. PQ disturne need to e deteted urtely It is lso essentil to find out the use of suh n event. Detetion nd lssifition of PQ disturne helps to ontrol suh event. In this pper, wvelet trnsform is pplied to notie, lolize, nd extrt power signl disturne. To study vrious power qulity disturnes, model simulted using MTL/Simulink toolox. The key pln underlying in the pproh is to deompose given disturne signl into lterntive signls tht represent smoothened version nd lose version of the first signl. Using multi resolution nlysis signl is deomposed. Keywords: Disrete Wvelet Trnsform (DWT), Momentry interruptions, Multiple resolution nlysis (MR), Voltge sg, Voltge swell, Wvelet Trnsform (WT). The si ide in wvelets is to nlyze signl I. INTRODUTION ording to sle rther thn frequeny. Wvelet hs een used for the nlysis of signl with disontinuities nd shrp spikes. y using wvelet multi resolution nlysis, proof is pitured y finite dd of elements t totlly different resolutions in order tht every element is dptively proessed supported the ojetive of the pplition [3-5]. This pper is divided in eight different setions. Definition nd disussion on power qulity disturnes re the min fous of setion II. nlytil methods used ommonly y different reserher to detet signl disturne re desried in setion III. Highlight on pplition res of wvelet presents in setion IV. In this model, vrious disturnes like voltge sg, swell, hrmonis nd interruption re simulted in setion V. Wvelet toolox is used to otin disrete wvelet trnsform on imported signl, otined through model results. Setion VII nd VIII re emphsizing on results nd onlusion respetively. The qulity of power supply hs eome mjor issue for eletril utilities nd eletriity onsumers. The poor qulity of the power supply my use mlfuntions of power servie equipments, instilities, short life time of equipments, nd so on. The power signl disturnes re lssified s impulse, nothes, glithes, momentry interruption, voltge sg, voltge swell, hrmoni distortion nd fliker. To improve the qulity of the power supply, it is required to detet soure of the disturnes urtely. The power qulity events should e deteted, lolized nd lssified urtely so tht proper mitigtion mesures ould e pplied [1, ]. Wvelet nlysis tehniques hve een implemented s new tool for fult detetion, loliztion nd lssifition of different power system trnsients [4, 7, 9, 1, 11]. ording to the literture, different wvelets n e used to deompose the signl. ommonly Duehies (D), iorthogonl (ior) nd oiflet hs used for identifying the imlne in tive power in power system. Wvelet fmilies n e found in detil in the referene [13], throwing light on properties of wvelets. Wvelets re mthemtil funtions tht divide dt into different frequeny omponents. These frequeny omponents re simple nd esy to study. II. POWER QULITY DISTURNES Detetion of power qulity disturnes hs eome mjor issue. ording to Interntionl Eletro tehnil ommission ( IE) impulsive nd osilltory trnsients, rief interruption, hrmoni distortion, voltge swell or sg re onsidered s disturnes.
2 The power qulity disturne is temporry devition in vlue from the stedy stte vlue due to sudden hnge of lod nd fults. Definition nd uses of different disturne re desrie elow ording to IEEE Std-1159, 15.. Voltge Sg Voltge sg is short-durtion derese of the Root Men Squre (RMS) voltge ( etween 1% to 9% ) tht lsts from.5 seonds to severl seonds. If it lsts for less thn hlf yle then it is onsidered s trnsient. Voltge sg results due to swithing opertions of lrge motors, lightning strokes nd trnsmission fults (disonnetion of supply). These momentry events n use omplete shutdown of power plnts, whih my tke hours to return to norml opertion [].. Voltge Swell n inrese in RMS vlue of voltge from 1.1p.u. to 1.8p.u., nd the lsting time is.5 period to 1min. is known s voltge swell. voltge swell our temporry, on the phse without fult of three phse iruit due to single line to ground fult. They n lso our on dding lrge pitor nk, removing lrge lod nd due to trnsfer of lods from one power soure to nother.. Hrmonis hrmoni is sinusoidl omponent of periodi wve or signl hving frequeny tht is n integer multiple of fundmentl frequeny. The term hrmoni refers to the deomposition of nonsinusoidl ut periodi signl into sum of sinusoidl omponents. Where n nd n re mplitude nd phse ngle for hrmoni order. Either time-domin or frequeny domin pproh n e used for hrmoni nlysis. Hrmonis re minly used y non-liner lods. Hrmoni distortion hs eome progressively more importnt in reent yers, due to the inrese in nonliner lods. D. Voltge Interruption Temporry interruptions my e thought of s voltge sgs with 1% mplitude or lrge perentge loss of voltge. Interruptions re used y trnsient fult. During short interruption, voltge level is to e Jin, Jin nd Nem 48 lose to zero. The uses my e lown fuse, or reker gp tht leds right down to the ending of the fility system set infliting lrge loss. E. Trnsients Voltge disturnes whih persist shorter thn sgs or swells re lssified s trnsients. These re used y the sudden hnges in the power system. The trnsient over voltge of durtion in the rnge of milliseonds re lled swithing surge nd in the rnge of miroseonds re lled impulse spike. III. NLYSIS METHODS. Fourier Trnsform (FT) The Fourier trnsform gives informtion out the presene of different frequeny omponents of the signl. It gives informtion of different frequeny omponent exists in the signl, ut FT do not provide informtion, when in time these frequeny omponents exist. For sttionry signl whose frequeny omponent does not hnge in time, this informtion is not required. Time frequeny representtion of signl is required for non sttionry signls. Short Time Fourier Trnsform ( STFT) is etter thn FT ut it gives fixed resolution ll the times due to fixed window size.. Wvelet Trnsform (WT) In wvelet nlysis, the use of totlly slle modulted window resolves the diffiulty of signlutting [5]. It gives vrile resolution. Trnsltion nd sling is used to generte wvelets from single si wvelet. This single si wvelet is lled s mother wvelet. In wvelet nlysis, we get detils nd pproximtions. The detils re the low sle, highfrequeny omponents nd the pproximtions re the high-sle, low-frequeny omponents of the signl. The strength of the wvelet nlysis is its ility of representing signls in ompt from nd in mny levels of resolutions. There re two types of wvelet trnsforms; disrete wvelet trnsforming ( DWT) nd ontinuous wvelet trnsform (WT). The prime differene etween disrete wvelet trnsform nd ontinuous wvelet trnsform is tht disrete wvelet trnsform use expliit suset of sle nd trnsltion vlues nd ontinuous wvelet trnsform uses ll possile sle nd trnsltion. In referene [9] uthor uses the ontinuous wvelet trnsforms to find out time durtion of the disturne nd the DWT to lulte the disturne mplitude.
3 . Disrete wvelet trnsforms (DWT) The signl is pssed through series of low pss nd high pss filter to generte disrete wvelet trnsform. Jin, Jin nd Nem 49 In filtering proess the originl signl is pssed through two omplementry filter nd we get two deomposed sequenes nd D. This proess produes DWT oeffiients. To extend the frequeny resolution, deomposition of signl is done repetedly nd signl n e relized into two lower frequeny rnges. This proess is known s multi resolution nlysis. pproximte oeffiients 1(n) nd detil oeffiients D1(n) otined fter pssing the signl through low pss nd high pss filters, t level 1. pproximtion oeffiients 1(n) re down smpled further with high nd low pss filters s shown in Fig.. The pproximte oeffiients (n) re then filtered gin to otin the next level of oeffiients. This filtering opertion progresses in this wy. Fig.. Signl three level deomposition Using MR. Nottion used in (), (3) nd (4) re y - originl signl, g high pss filter, h low pss filter. This deomposition hs hlved the time resolution sine only hlf of eh filter output hrterizes the signl. However, eh output hs hlf the frequeny nd of the input so the frequeny resolution hs een douled. t eh level in Fig. 3, the signl is deomposed into low nd high frequenies. Due to the deomposition proess the input signl must e multiple of n where n is the numer of levels. IV. WVELET PPLITION In mjor res of reserh suh s signl nd imge proessing, speeh disrimintions, dt ompression, Fig. 3. lok digrm of filter nlysis. de-noising nd numeril solution of differentil equtions, medil dignostis nd mny others wvelets hve een pplied suessfully [7]. In referene [1], use of disrete wvelet trnsform for evlution of the low frequeny eletromehnil osilltions in power systems nd found more ury in results during tive power imlne in power system.
4 Jin, Jin nd Nem 5 V. SIMULINK MODEL RETED TO STUDY VOLTGE SG, VOLTGE SWELL ND HRMONIS onn1 onn onn3 Susystem N n V I Three-Phse V-I Mesurement Three-Phse Trnsformer (Two Windings)1 Three-Phse Series RL Lod onn1 onn onn3 Susystem1 Three-Phse Trnsformer (Two Windings) ontinuous powergui Sope Sope Three-Phse Fult + v - Voltge Mesurement Sope1 simout To Workspe Fig. 4. simulink model. The disturnes like voltge sg, swell, hrmoni nd interruption re generted in simulink model shown in Fig. 4. Disrete wvelet trnsform n detet these disturnes nd provides informtion in oth time nd frequeny domin. Seletion of mother wvelet plys n importnt role in finding out nd lolizing the power qulity disturnes. s disussed in [1], for short nd fst trnsient disturnes, Du4 nd Du6 wvelets re good hoie, while for slow trnsient disturnes, Du8 nd Du1 re etter. Disrete wvelet trnsform is pplied nd four-level deomposition is done using duhies4. VI. WVELET RESULTS ording to IEEE stndrds, Duehies wvelet is very preise tool to monitor power qulity disturnes mong ll the wvelet fmilies. Signl otined fter using disrete wvelet trnsform, distint rippling rework for voltge sg, voltge swell nd hrmoni re unit displyed in Fig. 5, Fig. 6, Fig. 7 nd Fig. 8. Detil D Detil D Detil D Detil D pproximtion Fig. 5. DWT of voltge sg.
5 The pproximtion revels the regulr pttern of the signl. Detils d1 is enough to produe preise time dt for ny type of disturne. Higher levels of deomposition re unit lrgely ustomed extrt dditionl dt needed for lssifition. From ll the 3 Figure, one n simply oserve strting nd ending time of ny disturne, the WTs hs terrily high vlue. Fig. 5 displying the pproximtion nd detiled version of voltge sg. From the Figure, sg n e Jin, Jin nd Nem 51 esily deteted t the lower sle. The strting time of sg is t 4 ms nd lsts till 4.5 ms nd therefore the durtion of sg event n e deteted nd lolized in lower levels. The detiled version of voltge swell in Fig..6 otined through finer resolution level. The voltge swell ours t 8 ms n e esily deteted s these disturnes perpetully found to possess pttern in initil level info. Detil D Detil D Detil D Detil D pproximtion Fig. 6. DWT of voltge swell. Detil D Detil D Detil D Detil D pproximtion
6 The MR deomposition of voltge hrmonis re shown in Fig. 7. The detetion results t sle 1, showing disturne ourred t 1.34 ms nd end t 1.67ms. These disturnes lwys found to hve pttern in first level. Fig. 8 show the detiled version of four-level deomposition.voltge interruption is deteted nd lolized t first two finer resolution Fig. 7. DWT of voltge hrmonis. Jin, Jin nd Nem 5 levels. This is euse t the lower sles, the nlyzing wvelet is more lolized. The strting time of the interruption is.35 ms nd the ending time.45 ms n e oserved esily. The durtion of voltge interruption n e found out y differene of strting time nd ending time. Detil D Detil D Detil D Detil D pproximtion VII. ONLUSION The soures of power qulity disturnes must e known for improving the power qulity. The proposed tehnique found etter for detetion nd loliztion of power qulity disturnes. This tehnique urtely lotes voltge sg, swell, hrmoni distortion nd interruption. The results show orret lssifition of events will he performed y humn experts. Unlike Short Term Fourier Trnsform, the nlysis isn't depends on window size. This methodology will he extended to oserve other PQ events tht require to e monitored. This ould e utilized for hieving online, low ost PQ monitoring rel time system. Further rtifiil Neurl Network, Neuro fuzzy system, hyrid intelligent systems, spe vetor mhine et n e use for lssifition of disturnes y proessing the results otined through wvelet trnsform. Fig. 8. DWT of voltge Interruption. REFERENES [1]. Lin,.-H. Tso, M.-. "Power qulity detetion with lssifition enhnile wvelet-proilisti network in power system" Genertion, Trnsmission nd Distriution, IEEE Proeedings- 4 Nov. 5 Volume: 15,Issue: 6 On pges : []. Dugn R.., MGrnghn M.F., Sntoso S. & ety H.W., Eletril Power Systems Qulity, MGrw Hill, ISN X, US, 3. [3]. Wvelet Toolox User s guide y The Mth works. [4]. Sntoso S., Powers E. J., Grdy W. M. nd Hoffmnn P., Power qulity ssessment vi wvelet trnsform nlysis, IEEE Trnstions on Power Delivery, Vol. 11, pp , pr
7 [5]. Relly Friendly Guide to Wvelets. Vlens, [6]. Roi Polikr, 'The Wvelet Tutoril', 136 Rown Hll, Deprtment of Eletril nd omputer Engineering, Rown University, Glssoro, NJ 88, June [7]. M. Misiti, Y. Misiti, G. Oppenheim nd J.-M Poggi (6), Wvelet Toolox For Use With Mtl: user s guide version 3, Mthworks In. [8]. M.H.J. ollen, Understnding Power Qulity Prolems, Pistwy, NJ: IEEE Press. [9]. L. ngrisni, P. Dponte, M.D puzzo nd. Test, Mesurement Method sed on the Wvelet Trnsform for Power Qulity nlysis, IEEE Trns. Power Delivery, Vol. 13, pp , Ot [1]. S. Sntoso, E.J. Powers, nd W.M. Grdy, Eletri power qulity disturne detetion Jin, Jin nd Nem 53 using wvelet trnsform nlysis, in Proeedings of the IEEE-SP Interntionl Symposzum on Tzme- Prequeny nd Time-Sle nlysis, Phildelphi, P, Ot. 5-8, 1994, pp [11]. D. Sxen, S.N. Singh nd K.S. Verm, Wvelet sed denoising of power qulity events for hrteriztion, Interntionl Journl of Engineering, Siene nd Tehnology, Vol. 3, No. 3, 11, pp [1]. Smir vdkovi, mir Nuhnovi, Mirz Kusljugi, Mustf Musi, Wvelet trnsform pplitions in power system dynmis, Eletri Power Systems Reserh, 83 (1) [13]. Duehies, Ten Letures on Wvelets, Soiety for Industril nd pplied Mthemtis, Phildelphi, P, 199.
NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE
NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE V.S. Gordeev, G.A. Myskov Russin Federl Nuler Center All-Russi Sientifi Reserh Institute of Experimentl Physis (RFNC-VNIIEF)
More informationSymmetrical Components 1
Symmetril Components. Introdution These notes should e red together with Setion. of your text. When performing stedy-stte nlysis of high voltge trnsmission systems, we mke use of the per-phse equivlent
More informationA Detailed Comparative Study of ABC and Symmetrical Component Classification for Fault Analysis
The 2 nd Interntionl Power Engineering nd Optimiztion onferene (PEOO28), Shh lm, Selngor, MLYSI. 4-5 June 28. Detiled omprtive Study of nd Symmetril omponent lssifition for Fult nlysis Muhmmd Sufi Kmrudin,
More informationExercise 3 Logic Control
Exerise 3 Logi Control OBJECTIVE The ojetive of this exerise is giving n introdution to pplition of Logi Control System (LCS). Tody, LCS is implemented through Progrmmle Logi Controller (PLC) whih is lled
More informationAC/DC/AC Converters: Two-Level and Multilevel VSI
Sortes Ersmus Visit A/D/A onerters: Two-Leel nd Multileel VSI Josep Pou Antoni Aris Pge 1 Sortes Ersmus Visit Outline 1. Two-Leel Inerter 2. Multileel Inerters - sde H-Bridge Inerter - Flying-pitor Inerter
More information8 THREE PHASE A.C. CIRCUITS
8 THREE PHSE.. IRUITS The signls in hpter 7 were sinusoidl lternting voltges nd urrents of the so-lled single se type. n emf of suh type n e esily generted y rotting single loop of ondutor (or single winding),
More informationLecture Notes No. 10
2.6 System Identifition, Estimtion, nd Lerning Leture otes o. Mrh 3, 26 6 Model Struture of Liner ime Invrint Systems 6. Model Struture In representing dynmil system, the first step is to find n pproprite
More informationResearch Article Comparative Studies of Different Switching Patterns for Direct and Indirect Space Vector Modulated Matrix Converter
dvnes in Power Eletronis Volume, rtile ID 854, 8 pges doi:.55//854 Reserh rtile omprtive Studies of Different Swithing Ptterns for Diret nd Indiret Spe Vetor Modulted Mtrix onverter min Shnpour, Ssn Gholmi,
More informationTHE ANALYSIS AND CALCULATION OF ELECTROMAGNETIC FIELD AROUND OVERHEAD POWER LINE HongWang Yang
5th Interntionl Conferene on Advned Mterils nd Computer Siene (ICAMCS 6) THE ANALYSIS AN CALCULATION OF ELECTROMAGNETIC FIEL AROUN OVERHEA POWER LINE HongWng Yng eprtment of eletril engineering, North
More informationA Study on the Properties of Rational Triangles
Interntionl Journl of Mthemtis Reserh. ISSN 0976-5840 Volume 6, Numer (04), pp. 8-9 Interntionl Reserh Pulition House http://www.irphouse.om Study on the Properties of Rtionl Tringles M. Q. lm, M.R. Hssn
More informationUniversity of Sioux Falls. MAT204/205 Calculus I/II
University of Sioux Flls MAT204/205 Clulus I/II Conepts ddressed: Clulus Textook: Thoms Clulus, 11 th ed., Weir, Hss, Giordno 1. Use stndrd differentition nd integrtion tehniques. Differentition tehniques
More informationIntroduction to Olympiad Inequalities
Introdution to Olympid Inequlities Edutionl Studies Progrm HSSP Msshusetts Institute of Tehnology Snj Simonovikj Spring 207 Contents Wrm up nd Am-Gm inequlity 2. Elementry inequlities......................
More informationLecture 6. CMOS Static & Dynamic Logic Gates. Static CMOS Circuit. PMOS Transistors in Series/Parallel Connection
NMOS Trnsistors in Series/Prllel onnetion Leture 6 MOS Stti & ynmi Logi Gtes Trnsistors n e thought s swith ontrolled y its gte signl NMOS swith loses when swith ontrol input is high Peter heung eprtment
More informationAP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals
AP Clulus BC Chpter 8: Integrtion Tehniques, L Hopitl s Rule nd Improper Integrls 8. Bsi Integrtion Rules In this setion we will review vrious integrtion strtegies. Strtegies: I. Seprte the integrnd into
More informationCS 573 Automata Theory and Formal Languages
Non-determinism Automt Theory nd Forml Lnguges Professor Leslie Lnder Leture # 3 Septemer 6, 2 To hieve our gol, we need the onept of Non-deterministi Finite Automton with -moves (NFA) An NFA is tuple
More informationEngr354: Digital Logic Circuits
Engr354: Digitl Logi Ciruits Chpter 4: Logi Optimiztion Curtis Nelson Logi Optimiztion In hpter 4 you will lern out: Synthesis of logi funtions; Anlysis of logi iruits; Tehniques for deriving minimum-ost
More informationModeling of Catastrophic Failures in Power Systems
Modeling of tstrophi Filures in Power Systems hnn Singh nd lex Sprintson Deprtment of Eletril nd omputer Engineering Texs &M hnn Singh nd lex Sprintson Modeling of tstrophi Filures Motivtion Reent events
More informationLossless Compression Lossy Compression
Administrivi CSE 39 Introdution to Dt Compression Spring 23 Leture : Introdution to Dt Compression Entropy Prefix Codes Instrutor Prof. Alexnder Mohr mohr@s.sunys.edu offie hours: TBA We http://mnl.s.sunys.edu/lss/se39/24-fll/
More informationSECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS
SECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS IN-SITU PROBING OF DOMAIN POLING IN Bi 4 Ti 3 O 12 THIN FILMS BY OPTICAL SECOND HARMONIC GENERATION YANIV BARAD, VENKATRAMAN GOPALAN Mterils Reserh Lortory
More informationLesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem.
27 Lesson 2: The Pythgoren Theorem nd Similr Tringles A Brief Review of the Pythgoren Theorem. Rell tht n ngle whih mesures 90º is lled right ngle. If one of the ngles of tringle is right ngle, then we
More information1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.
1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the
More informationTOPIC: LINEAR ALGEBRA MATRICES
Interntionl Blurete LECTUE NOTES for FUTHE MATHEMATICS Dr TOPIC: LINEA ALGEBA MATICES. DEFINITION OF A MATIX MATIX OPEATIONS.. THE DETEMINANT deta THE INVESE A -... SYSTEMS OF LINEA EQUATIONS. 8. THE AUGMENTED
More informationNON-DETERMINISTIC FSA
Tw o types of non-determinism: NON-DETERMINISTIC FS () Multiple strt-sttes; strt-sttes S Q. The lnguge L(M) ={x:x tkes M from some strt-stte to some finl-stte nd ll of x is proessed}. The string x = is
More informationSECTION A STUDENT MATERIAL. Part 1. What and Why.?
SECTION A STUDENT MATERIAL Prt Wht nd Wh.? Student Mteril Prt Prolem n > 0 n > 0 Is the onverse true? Prolem If n is even then n is even. If n is even then n is even. Wht nd Wh? Eploring Pure Mths Are
More informationwhere the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b
CS 294-2 9/11/04 Quntum Ciruit Model, Solovy-Kitev Theorem, BQP Fll 2004 Leture 4 1 Quntum Ciruit Model 1.1 Clssil Ciruits - Universl Gte Sets A lssil iruit implements multi-output oolen funtion f : {0,1}
More informationProject 6: Minigoals Towards Simplifying and Rewriting Expressions
MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy
More informationWavelet Packet Transform Based Power Quality Analysis تحليل جودة القدرة باعتماد تحويله حزمة المويجة
34 Wvelet Pket Trnsform Bsed Power Qulity Anlysis Dr. Adel A. OBED Eletril Deprtment, College of Engineering, Bsrh University. delrzn@yhoo.om Abstrt: This pper presents dignosti tehnique for power qulity
More informationEducational Modeling for Fault Analysis of Power Systems with STATCOM Controllers using Simulink
University of New Orlens SholrWorks@UNO University of New Orlens Theses nd Disserttions Disserttions nd Theses Fll 12-18-2014 Edutionl Modeling for Fult nlysis of Power Systems with STTOM ontrollers using
More informationActivities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions
MEP: Demonstrtion Projet UNIT 4: Trigonometry UNIT 4 Trigonometry tivities tivities 4. Pythgors' Theorem 4.2 Spirls 4.3 linometers 4.4 Rdr 4.5 Posting Prels 4.6 Interloking Pipes 4.7 Sine Rule Notes nd
More informationSection 1.3 Triangles
Se 1.3 Tringles 21 Setion 1.3 Tringles LELING TRINGLE The line segments tht form tringle re lled the sides of the tringle. Eh pir of sides forms n ngle, lled n interior ngle, nd eh tringle hs three interior
More informationEstimation of Sequence Components using Magnitude Information
6th NATIONAL POWER SYSTEMS CONFERENCE, 5th-7th DECEMBER, 2 47 Estimtion of Sequene Components using Mgnitude Informtion P.S. Ngendr ro nd Ssikirn Veknuru Deprtment of Eletril Engineering Indin Institute
More informationTutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.
Mth 5 Tutoril Week 1 - Jnury 1 1 Nme Setion Tutoril Worksheet 1. Find ll solutions to the liner system by following the given steps x + y + z = x + y + z = 4. y + z = Step 1. Write down the rgumented mtrix
More informationLecture 6: Coding theory
Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those
More informationModeling and Simulation of Permanent Magnet Brushless Motor Drives using Simulink
INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR 72102, DECEMBER 27-29, 2002 25 Modeling nd Simultion of Permnent Mgnet Brushless Motor Dries using Simulink Mukesh Kumr, Bhim Singh nd B.P.Singh Astrt: Permnent
More informationDamping of Power System Oscillations using Unified Power Flow Controller (UPFC)
INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR 73, DECEMBER 7-9, 47 of Power System Osilltions using Unified Power Flow Controller (UPFC) Neelim Tmey M. L. Kothri Astrt--This pper presents systemti pproh for
More informationMATRIX INVERSE ON CONNEX PARALLEL ARCHITECTURE
U.P.B. Si. Bull., Series C, Vol. 75, Iss. 2, ISSN 86 354 MATRIX INVERSE ON CONNEX PARALLEL ARCHITECTURE An-Mri CALFA, Gheorghe ŞTEFAN 2 Designed for emedded omputtion in system on hip design, the Connex
More informationANALYSIS AND MODELLING OF RAINFALL EVENTS
Proeedings of the 14 th Interntionl Conferene on Environmentl Siene nd Tehnology Athens, Greee, 3-5 Septemer 215 ANALYSIS AND MODELLING OF RAINFALL EVENTS IOANNIDIS K., KARAGRIGORIOU A. nd LEKKAS D.F.
More informationCS311 Computational Structures Regular Languages and Regular Grammars. Lecture 6
CS311 Computtionl Strutures Regulr Lnguges nd Regulr Grmmrs Leture 6 1 Wht we know so fr: RLs re losed under produt, union nd * Every RL n e written s RE, nd every RE represents RL Every RL n e reognized
More information1.3 SCALARS AND VECTORS
Bridge Course Phy I PUC 24 1.3 SCLRS ND VECTORS Introdution: Physis is the study of nturl phenomen. The study of ny nturl phenomenon involves mesurements. For exmple, the distne etween the plnet erth nd
More informationLearning Partially Observable Markov Models from First Passage Times
Lerning Prtilly Oservle Mrkov s from First Pssge s Jérôme Cllut nd Pierre Dupont Europen Conferene on Mhine Lerning (ECML) 8 Septemer 7 Outline. FPT in models nd sequenes. Prtilly Oservle Mrkov s (POMMs).
More informationLearning Objectives of Module 2 (Algebra and Calculus) Notes:
67 Lerning Ojetives of Module (Alger nd Clulus) Notes:. Lerning units re grouped under three res ( Foundtion Knowledge, Alger nd Clulus ) nd Further Lerning Unit.. Relted lerning ojetives re grouped under
More informationDong-Myung Lee, Jeong-Gon Lee, and Ming-Gen Cui. 1. introduction
J. Kore So. Mth. Edu. Ser. B: Pure Appl. Mth. ISSN 16-0657 Volume 11, Number My 004), Pges 133 138 REPRESENTATION OF SOLUTIONS OF FREDHOLM EQUATIONS IN W Ω) OF REPRODUCING KERNELS Dong-Myung Lee, Jeong-Gon
More information6.5 Improper integrals
Eerpt from "Clulus" 3 AoPS In. www.rtofprolemsolving.om 6.5. IMPROPER INTEGRALS 6.5 Improper integrls As we ve seen, we use the definite integrl R f to ompute the re of the region under the grph of y =
More informationThe University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER MACHINES AND THEIR LANGUAGES ANSWERS
The University of ottinghm SCHOOL OF COMPUTR SCIC A LVL 2 MODUL, SPRIG SMSTR 2015 2016 MACHIS AD THIR LAGUAGS ASWRS Time llowed TWO hours Cndidtes my omplete the front over of their nswer ook nd sign their
More informationCS 491G Combinatorial Optimization Lecture Notes
CS 491G Comintoril Optimiztion Leture Notes Dvi Owen July 30, August 1 1 Mthings Figure 1: two possile mthings in simple grph. Definition 1 Given grph G = V, E, mthing is olletion of eges M suh tht e i,
More informationFigure 1. The left-handed and right-handed trefoils
The Knot Group A knot is n emedding of the irle into R 3 (or S 3 ), k : S 1 R 3. We shll ssume our knots re tme, mening the emedding n e extended to solid torus, K : S 1 D 2 R 3. The imge is lled tuulr
More information5. Every rational number have either terminating or repeating (recurring) decimal representation.
CHAPTER NUMBER SYSTEMS Points to Rememer :. Numer used for ounting,,,,... re known s Nturl numers.. All nturl numers together with zero i.e. 0,,,,,... re known s whole numers.. All nturl numers, zero nd
More informationFLICKER CONTRIBUTION OF INDUCTION GENERATORS IN WIND ENERGY CONVERSION SYSTEMS
Journl of Eletril Engineering FLIKER ONTRIUTION OF INDUTION GENERTORS IN WIND ENERGY ONVERSION SYSTEMS k. s. Sndhu sudhir Shr 2 Professor, Deprtent of Eletril Engineering, Ntionl Institute of Tehnology,
More informationMath 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1)
Green s Theorem Mth 3B isussion Session Week 8 Notes Februry 8 nd Mrh, 7 Very shortly fter you lerned how to integrte single-vrible funtions, you lerned the Fundmentl Theorem of lulus the wy most integrtion
More informationGeneralization of 2-Corner Frequency Source Models Used in SMSIM
Generliztion o 2-Corner Frequeny Soure Models Used in SMSIM Dvid M. Boore 26 Mrh 213, orreted Figure 1 nd 2 legends on 5 April 213, dditionl smll orretions on 29 My 213 Mny o the soure spetr models ville
More informationPolyphase Systems. Objectives 23.1 INTRODUCTION
Polyphse Systems 23 Ojetives eome fmilir with the opertion of threephse genertor nd the mgnitude nd phse reltionship etween the three phse voltges. e le to lulte the voltges nd urrents for three-phse Y-onneted
More informationTHE PYTHAGOREAN THEOREM
THE PYTHAGOREAN THEOREM The Pythgoren Theorem is one of the most well-known nd widely used theorems in mthemtis. We will first look t n informl investigtion of the Pythgoren Theorem, nd then pply this
More informationAvailable online at ScienceDirect. Procedia Engineering 120 (2015 ) EUROSENSORS 2015
Aville online t www.sienediret.om SieneDiret Proedi Engineering 10 (015 ) 887 891 EUROSENSORS 015 A Fesiility Study for Self-Osillting Loop for Three Degreeof-Freedom Coupled MEMS Resontor Fore Sensor
More informationMatrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix
tries Definition of tri mtri is regulr rry of numers enlosed inside rkets SCHOOL OF ENGINEERING & UIL ENVIRONEN Emple he following re ll mtries: ), ) 9, themtis ), d) tries Definition of tri Size of tri
More informationPYTHAGORAS THEOREM WHAT S IN CHAPTER 1? IN THIS CHAPTER YOU WILL:
PYTHAGORAS THEOREM 1 WHAT S IN CHAPTER 1? 1 01 Squres, squre roots nd surds 1 02 Pythgors theorem 1 03 Finding the hypotenuse 1 04 Finding shorter side 1 05 Mixed prolems 1 06 Testing for right-ngled tringles
More informationCalculus Cheat Sheet. Integrals Definitions. where F( x ) is an anti-derivative of f ( x ). Fundamental Theorem of Calculus. dx = f x dx g x dx
Clulus Chet Sheet Integrls Definitions Definite Integrl: Suppose f ( ) is ontinuous Anti-Derivtive : An nti-derivtive of f ( ) on [, ]. Divide [, ] into n suintervls of is funtion, F( ), suh tht F = f.
More informationA Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version
A Lower Bound for the Length of Prtil Trnsversl in Ltin Squre, Revised Version Pooy Htmi nd Peter W. Shor Deprtment of Mthemtil Sienes, Shrif University of Tehnology, P.O.Bo 11365-9415, Tehrn, Irn Deprtment
More informationDorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000
orf, R.C., Wn,. T- Equivlent Networks The Eletril Engineering Hndook Ed. Rihrd C. orf Bo Rton: CRC Press LLC, 000 9 T P Equivlent Networks hen Wn University of Cliforni, vis Rihrd C. orf University of
More informationIndustrial Electrical Engineering and Automation
CODEN:LUTEDX/(TEIE-719)/1-7/(7) Industril Electricl Engineering nd Automtion Estimtion of the Zero Sequence oltge on the D- side of Dy Trnsformer y Using One oltge Trnsformer on the D-side Frncesco Sull
More informationA Mathematical Model for Unemployment-Taking an Action without Delay
Advnes in Dynmil Systems nd Applitions. ISSN 973-53 Volume Number (7) pp. -8 Reserh Indi Publitions http://www.ripublition.om A Mthemtil Model for Unemployment-Tking n Ation without Dely Gulbnu Pthn Diretorte
More informationFinite State Automata and Determinisation
Finite Stte Automt nd Deterministion Tim Dworn Jnury, 2016 Lnguges fs nf re df Deterministion 2 Outline 1 Lnguges 2 Finite Stte Automt (fs) 3 Non-deterministi Finite Stte Automt (nf) 4 Regulr Expressions
More informationPolyphase Systems 22.1 INTRODUCTION
22 Polyphse Systems 22.1 INTRODUTION n genertor designed to develop single sinusoidl voltge for eh rottion of the shft (rotor) is referred to s single-phse genertor. If the numer of oils on the rotor is
More informationHyers-Ulam stability of Pielou logistic difference equation
vilble online t wwwisr-publitionsom/jns J Nonliner Si ppl, 0 (207, 35 322 Reserh rtile Journl Homepge: wwwtjnsom - wwwisr-publitionsom/jns Hyers-Ulm stbility of Pielou logisti differene eqution Soon-Mo
More informationChapter 8 Roots and Radicals
Chpter 8 Roots nd Rdils 7 ROOTS AND RADICALS 8 Figure 8. Grphene is n inredily strong nd flexile mteril mde from ron. It n lso ondut eletriity. Notie the hexgonl grid pttern. (redit: AlexnderAIUS / Wikimedi
More informationAdaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference System
Amerin Journl of Applied Sienes 8 (8): 810-815, 2011 ISSN 1546-9239 2011 Siene Pulitions Adptive Controllers for Permnent Mgnet Brushless DC Motor Drive System using Adptive-Network-sed Fuzzy Interferene
More informationAlgorithm Design and Analysis
Algorithm Design nd Anlysis LECTURE 5 Supplement Greedy Algorithms Cont d Minimizing lteness Ching (NOT overed in leture) Adm Smith 9/8/10 A. Smith; sed on slides y E. Demine, C. Leiserson, S. Rskhodnikov,
More information12.4 Similarity in Right Triangles
Nme lss Dte 12.4 Similrit in Right Tringles Essentil Question: How does the ltitude to the hpotenuse of right tringle help ou use similr right tringles to solve prolems? Eplore Identifing Similrit in Right
More informationDistributed Generation Placement in Unbalanced Distribution System with Seasonal Load Variation
Distriuted Genertion Plement in Unlned Distriution System with Sesonl Lod Vrition Rvi Tej Bhimrsetti Dept. of Eletril Engg., NT Kurukshetr Kurukshetr, ndi svrtej@gmil.om Ashwni Kumr, Memer, EEE Dept. of
More informationCS 2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014
S 224 DIGITAL LOGI & STATE MAHINE DESIGN SPRING 214 DUE : Mrh 27, 214 HOMEWORK III READ : Relte portions of hpters VII n VIII ASSIGNMENT : There re three questions. Solve ll homework n exm prolems s shown
More informationI1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3
2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is
More informationWaveguide Circuit Analysis Using FDTD
11/1/16 EE 533 Eletromgneti nlsis Using Finite Differene Time Domin Leture # Wveguide Ciruit nlsis Using FDTD Leture These notes m ontin oprighted mteril obtined under fir use rules. Distribution of these
More informationComparing the Pre-image and Image of a Dilation
hpter Summry Key Terms Postultes nd Theorems similr tringles (.1) inluded ngle (.2) inluded side (.2) geometri men (.) indiret mesurement (.6) ngle-ngle Similrity Theorem (.2) Side-Side-Side Similrity
More informationNote 12. Introduction to Digital Control Systems
Note Introduction to Digitl Control Systems Deprtment of Mechnicl Engineering, University Of Ssktchewn, 57 Cmpus Drive, Ssktoon, SK S7N 5A9, Cnd . Introduction A digitl control system is one in which the
More informationPAIR OF LINEAR EQUATIONS IN TWO VARIABLES
PAIR OF LINEAR EQUATIONS IN TWO VARIABLES. Two liner equtions in the sme two vriles re lled pir of liner equtions in two vriles. The most generl form of pir of liner equtions is x + y + 0 x + y + 0 where,,,,,,
More informationElectromagnetism Notes, NYU Spring 2018
Eletromgnetism Notes, NYU Spring 208 April 2, 208 Ation formultion of EM. Free field desription Let us first onsider the free EM field, i.e. in the bsene of ny hrges or urrents. To tret this s mehnil system
More informationReview of Gaussian Quadrature method
Review of Gussin Qudrture method Nsser M. Asi Spring 006 compiled on Sundy Decemer 1, 017 t 09:1 PM 1 The prolem To find numericl vlue for the integrl of rel vlued function of rel vrile over specific rnge
More informationDiscrete Structures Lecture 11
Introdution Good morning. In this setion we study funtions. A funtion is mpping from one set to nother set or, perhps, from one set to itself. We study the properties of funtions. A mpping my not e funtion.
More informationInstructions. An 8.5 x 11 Cheat Sheet may also be used as an aid for this test. MUST be original handwriting.
ID: B CSE 2021 Computer Orgniztion Midterm Test (Fll 2009) Instrutions This is losed ook, 80 minutes exm. The MIPS referene sheet my e used s n id for this test. An 8.5 x 11 Chet Sheet my lso e used s
More informationCan one hear the shape of a drum?
Cn one her the shpe of drum? After M. K, C. Gordon, D. We, nd S. Wolpert Corentin Lén Università Degli Studi di Torino Diprtimento di Mtemti Giuseppe Peno UNITO Mthemtis Ph.D Seminrs Mondy 23 My 2016 Motivtion:
More informationSection 4.4. Green s Theorem
The Clulus of Funtions of Severl Vriles Setion 4.4 Green s Theorem Green s theorem is n exmple from fmily of theorems whih onnet line integrls (nd their higher-dimensionl nlogues) with the definite integrls
More information, g. Exercise 1. Generator polynomials of a convolutional code, given in binary form, are g. Solution 1.
Exerise Genertor polynomils of onvolutionl ode, given in binry form, re g, g j g. ) Sketh the enoding iruit. b) Sketh the stte digrm. ) Find the trnsfer funtion T. d) Wht is the minimum free distne of
More information#A42 INTEGERS 11 (2011) ON THE CONDITIONED BINOMIAL COEFFICIENTS
#A42 INTEGERS 11 (2011 ON THE CONDITIONED BINOMIAL COEFFICIENTS Liqun To Shool of Mthemtil Sienes, Luoyng Norml University, Luoyng, Chin lqto@lynuedun Reeived: 12/24/10, Revised: 5/11/11, Aepted: 5/16/11,
More informationSection 4: Integration ECO4112F 2011
Reding: Ching Chpter Section : Integrtion ECOF Note: These notes do not fully cover the mteril in Ching, ut re ment to supplement your reding in Ching. Thus fr the optimistion you hve covered hs een sttic
More informationMore Properties of the Riemann Integral
More Properties of the Riemnn Integrl Jmes K. Peterson Deprtment of Biologil Sienes nd Deprtment of Mthemtil Sienes Clemson University Februry 15, 2018 Outline More Riemnn Integrl Properties The Fundmentl
More informationCh. 2.3 Counting Sample Points. Cardinality of a Set
Ch..3 Counting Smple Points CH 8 Crdinlity of Set Let S e set. If there re extly n distint elements in S, where n is nonnegtive integer, we sy S is finite set nd n is the rdinlity of S. The rdinlity of
More informationReview Topic 14: Relationships between two numerical variables
Review Topi 14: Reltionships etween two numeril vriles Multiple hoie 1. Whih of the following stterplots est demonstrtes line of est fit? A B C D E 2. The regression line eqution for the following grph
More informationSynchronization of different 3D chaotic systems by generalized active control
ISSN 746-7659, Englnd, UK Journl of Informtion nd Computing Siene Vol. 7, No. 4, 0, pp. 7-8 Synhroniztion of different D hoti systems y generlized tive ontrol Mohmmd Ali Khn Deprtment of Mthemtis, Grhet
More informationSomething found at a salad bar
Nme PP Something found t sld r 4.7 Notes RIGHT TRINGLE hs extly one right ngle. To solve right tringle, you n use things like SOH-H-TO nd the Pythgoren Theorem. n OLIQUE TRINGLE hs no right ngles. To solve
More informationOn Implicative and Strong Implicative Filters of Lattice Wajsberg Algebras
Glol Journl of Mthemtil Sienes: Theory nd Prtil. ISSN 974-32 Volume 9, Numer 3 (27), pp. 387-397 Interntionl Reserh Pulition House http://www.irphouse.om On Implitive nd Strong Implitive Filters of Lttie
More informationNow we must transform the original model so we can use the new parameters. = S max. Recruits
MODEL FOR VARIABLE RECRUITMENT (ontinue) Alterntive Prmeteriztions of the pwner-reruit Moels We n write ny moel in numerous ifferent ut equivlent forms. Uner ertin irumstnes it is onvenient to work with
More informationChapter 3. Vector Spaces. 3.1 Images and Image Arithmetic
Chpter 3 Vetor Spes In Chpter 2, we sw tht the set of imges possessed numer of onvenient properties. It turns out tht ny set tht possesses similr onvenient properties n e nlyzed in similr wy. In liner
More informationMagnetically Coupled Coil
Mgnetilly Coupled Ciruits Overview Mutul Indutne Energy in Coupled Coils Liner Trnsformers Idel Trnsformers Portlnd Stte University ECE 22 Mgnetilly Coupled Ciruits Ver..3 Mgnetilly Coupled Coil i v L
More informationLinear Algebra Introduction
Introdution Wht is Liner Alger out? Liner Alger is rnh of mthemtis whih emerged yers k nd ws one of the pioneer rnhes of mthemtis Though, initilly it strted with solving of the simple liner eqution x +
More informationBehavior Composition in the Presence of Failure
Behvior Composition in the Presene of Filure Sestin Srdin RMIT University, Melourne, Austrli Fio Ptrizi & Giuseppe De Giomo Spienz Univ. Rom, Itly KR 08, Sept. 2008, Sydney Austrli Introdution There re
More informationH 4 H 8 N 2. Example 1 A compound is found to have an accurate relative formula mass of It is thought to be either CH 3.
. Spetrosopy Mss spetrosopy igh resolution mss spetrometry n e used to determine the moleulr formul of ompound from the urte mss of the moleulr ion For exmple, the following moleulr formuls ll hve rough
More information6.3.2 Spectroscopy. N Goalby chemrevise.org 1 NO 2 CH 3. CH 3 C a. NMR spectroscopy. Different types of NMR
6.. Spetrosopy NMR spetrosopy Different types of NMR NMR spetrosopy involves intertion of mterils with the lowenergy rdiowve region of the eletromgneti spetrum NMR spetrosopy is the sme tehnology s tht
More informationA SVC Based Control Algorithm for Load Balancing
Proeedings of the 7th WSEAS nterntionl onferene on Power Systems, eijing, hin, September 5-7, 7 A S sed ontrol Algorithm for od lning AHAD KAZEM kzemi@iust..ir A. MORAD KOOH Arshmordi@ee.iust..ir Ele.
More informationSpacetime and the Quantum World Questions Fall 2010
Spetime nd the Quntum World Questions Fll 2010 1. Cliker Questions from Clss: (1) In toss of two die, wht is the proility tht the sum of the outomes is 6? () P (x 1 + x 2 = 6) = 1 36 - out 3% () P (x 1
More informationA Non-parametric Approach in Testing Higher Order Interactions
A Non-prmetri Approh in Testing igher Order Intertions G. Bkeerthn Deprtment of Mthemtis, Fulty of Siene Estern University, Chenkldy, Sri Lnk nd S. Smit Deprtment of Crop Siene, Fulty of Agriulture University
More informationIntermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths
Intermedite Mth Cirles Wednesdy 17 Otoer 01 Geometry II: Side Lengths Lst week we disussed vrious ngle properties. As we progressed through the evening, we proved mny results. This week, we will look t
More information