Distributed Generation Placement in Unbalanced Distribution System with Seasonal Load Variation

Similar documents
Dorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000

8 THREE PHASE A.C. CIRCUITS

Polyphase Systems. Objectives 23.1 INTRODUCTION

Polyphase Systems 22.1 INTRODUCTION

4. UNBALANCED 3 FAULTS

NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE

Estimation of Sequence Components using Magnitude Information

Damping of Power System Oscillations using Unified Power Flow Controller (UPFC)

EE 330/330L Energy Systems (Spring 2012) Laboratory 1 Three-Phase Loads

A SVC Based Control Algorithm for Load Balancing

Symmetrical Components 1

ANALYSIS AND MODELLING OF RAINFALL EVENTS

LOAD FLOW, CONTINGENCY ANALYSIS, STATE ESTIMATION AND OPTIMAL OPERATION FOR IEEE 14-BUS SYSTEM

Power System Representation and Equations. A one-line diagram of a simple power system

Lecture Notes No. 10

Arrow s Impossibility Theorem

SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WITH VARIOUS TYPES OF COLUMN BASES

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then.

A Mathematical Model for Unemployment-Taking an Action without Delay

Chapter 4 State-Space Planning

Project 6: Minigoals Towards Simplifying and Rewriting Expressions

Educational Modeling for Fault Analysis of Power Systems with STATCOM Controllers using Simulink

Appendix C Partial discharges. 1. Relationship Between Measured and Actual Discharge Quantities

Research Article Comparative Studies of Different Switching Patterns for Direct and Indirect Space Vector Modulated Matrix Converter

Renewable Energy 50 (2013) 378e386. Contents lists available at SciVerse ScienceDirect. Renewable Energy

Modeling and Simulation of Permanent Magnet Brushless Motor Drives using Simulink

Arrow s Impossibility Theorem

The study of dual integral equations with generalized Legendre functions

A Detailed Comparative Study of ABC and Symmetrical Component Classification for Fault Analysis

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals

Probability. b a b. a b 32.

Activities. 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

NON-DETERMINISTIC FSA

Analysis of transient recovery voltage on SF 6 circuit breakers when switching unloaded 400 kv transmission lines

A Simulation Study of Crazy-PSO Controller For Direct Matrix Converter

Unit 4. Combinational Circuits

Engr354: Digital Logic Circuits

Industrial Electrical Engineering and Automation

A Study on the Properties of Rational Triangles

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths

Estimation of Global Solar Radiation in Onitsha and Calabar Using Empirical Models

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points:

Dynamic Template Matching with Mixed-polarity Toffoli Gates

A Non-parametric Approach in Testing Higher Order Interactions

LOSS COMPARISON OF TWO AND THREE-LEVEL INVERTER TOPOLOGIES

Supplementary Information. High-Performance Mixed-Dimensional Perovskite Solar Cells with Enhanced

Lecture 6. CMOS Static & Dynamic Logic Gates. Static CMOS Circuit. PMOS Transistors in Series/Parallel Connection

Review Topic 14: Relationships between two numerical variables

Modeling of Catastrophic Failures in Power Systems

#A42 INTEGERS 11 (2011) ON THE CONDITIONED BINOMIAL COEFFICIENTS

Reflection Property of a Hyperbola

2. Topic: Summation of Series (Mathematical Induction) When n = 1, L.H.S. = S 1 = u 1 = 3 R.H.S. = 1 (1)(1+1)(4+5) = 3

I 3 2 = I I 4 = 2A

Large Scale Wind Power Integration into Power Networks Using SVS and Series Reactance

PAIR OF LINEAR EQUATIONS IN TWO VARIABLES

Matrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix

Exercise 3 Logic Control

THE ANALYSIS AND CALCULATION OF ELECTROMAGNETIC FIELD AROUND OVERHEAD POWER LINE HongWang Yang

THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL

Hyers-Ulam stability of Pielou logistic difference equation

AC/DC/AC Converters: Two-Level and Multilevel VSI

Figure XX.1.1 Plane truss structure

CHENG Chun Chor Litwin The Hong Kong Institute of Education

Kalman-Filter Based Recursive Regression for Three- Phase Line Parameter Estimation using Synchrophasor Measurements

a) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points.

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version

Electromagnetism Notes, NYU Spring 2018

Mixed-Integer SDP Relaxation-based Volt/Var Optimization for Unbalanced Distribution Systems

First compression (0-6.3 GPa) First decompression ( GPa) Second compression ( GPa) Second decompression (35.

QUADRATIC EQUATION. Contents

y1 y2 DEMUX a b x1 x2 x3 x4 NETWORK s1 s2 z1 z2

Ch. 2.3 Counting Sample Points. Cardinality of a Set

, g. Exercise 1. Generator polynomials of a convolutional code, given in binary form, are g. Solution 1.

Adaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference System

Electrical Circuits II (ECE233b)

Chapter 8 Three-Phase Power System and Three-Phase Transformers

On Implicative and Strong Implicative Filters of Lattice Wajsberg Algebras

H (u,v) = 1+ [ 0 2 ] 1 2

is the cut off frequency in rads.

Nondeterministic Automata vs Deterministic Automata

AP CALCULUS Test #6: Unit #6 Basic Integration and Applications

QUADRATIC EQUATION EXERCISE - 01 CHECK YOUR GRASP

Spacetime and the Quantum World Questions Fall 2010

ORDER REDUCTION USING POLE CLUSTERING AND FACTOR DIVISION METHOD

22: Union Find. CS 473u - Algorithms - Spring April 14, We want to maintain a collection of sets, under the operations of:

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.

Introduction to Olympiad Inequalities

SOLUTIONS TO ASSIGNMENT NO The given nonrecursive signal processing structure is shown as

Goodwin Accelerator Model Revisited with Piecewise Linear Delay Investment

(h+ ) = 0, (3.1) s = s 0, (3.2)

Necessary and sucient conditions for some two. Abstract. Further we show that the necessary conditions for the existence of an OD(44 s 1 s 2 )

Insulation coordination for wind power plants

Appendix A: HVAC Equipment Efficiency Tables

CS 2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014

are coplanar. ˆ ˆ ˆ and iˆ

A Transformation Based Algorithm for Reversible Logic Synthesis

Due to gravity and wind load, the post supporting the sign shown is subjected simultaneously to compression, bending, and torsion.

A New Concept on Intelligent Distribution Voltage Control for Dc Micro Grids Using Fuzzy Control and Gain-Scheduling Technique

A Critical Path Problem Using Intuitionistic. Trapezoidal Fuzzy Number

Transcription:

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 Eletril Engg., NT Kurukshetr Kurukshetr, ndi shw_ks@yhoo.o.in Astrt To minimize power losses, it is importnt to determine the optiml lotion nd size of Distriuted Genertion (DG to e pled in distriution system. npproprite lotion nd size my led to inese the system losses nd d effet on voltge profile. This pper proposes method for finding optiml size nd lotion of DG for loss redution in unlned rdil distriution network (URDN. n this pper, the impt of sesonl (summer lod vrition with ZP lod model is onsidered. ZP lod model onsists of residentil, industril nd ommeril hs een onsidered for study of test system. The proposed tehnique hs een tested on us URDN. Keywords DG plement; unlned rdil distriution; optiml lotion nd size, sesonl lod vrition. NTRODUCTON The losses in the distriution system re out -3% of totl generted power. So the redution of tive power loss in distriution systems is very importnt to improve the overll effiieny of eletril power system. There re mny wys to redue the losses s like Distriuted Genertion plement, pitor plement, lod mngement, Network Reonfigurtion nd so on. Due to the glol nxious out energy isis nd glol wrming, the distriuted genertion tehnology ttrts more ttention []. For loss minimiztion, there re vrious pprohes to ple the optimum DG nd those re: the geneti lgorithm nd Hereford rnh lgorithm [], tu serh [3], fuzzy-ga method [], seond-order lgorithm method [] nd sensitivity sed pprohes [6]. V.V.S.N.Murty, et l [7] proposed omined power loss sensitivity sed pproh nd modified novel method for optiml plement of DG in lned rdil distriution system. K. Ngrju, et l [] proposed novel method to find the optiml lotion nd size of DG sed on rel power loss minimiztion t unity power ftor. T. Rmn, et l [9] presented method for otining optiml lotion nd size of DG in three-phse unlned rdil distriution system for power loss minimiztion. By penetrting the DG of size % of totl feeder lod t eh node, uthors first identified the voltge sensitive nodes nd the node t whih voltge index in minimum is seleted s est lotion for DG plement. Vritionl lgorithm is used to find the optiml size. This pper proposes method of minimizing the losses ssoited with tive omponent of nh urrents y pling optiml DG t proper lotion. n this method, the optiml size of DG t eh node n e otined y optimizing the loss sving eqution. The node t whih the loss sving is mximum will e onsidered s ndidte node of DG plement nd the orresponding size is the optiml size. The lod flow of unlned rdil distriution system hs een implemented from Ref. []. The impt of summer lod vrition [] with ZP lod model hs een tken for nlysis of us URDN [9].. PROPOSED METHODOLOGY Let us onsider the following TPL =Totl rel power loss. TQL =Totl retive power loss. Sloss = TPL j TQL,, re the nh urrents in three phses. r,, re the tive (rel omponent of nh urrents in three phses. i, i, i re the retive (imginry omponent of nh urrents in three phses. Z is the nh impedne. α is the set of nhes from soure us to the us where DG is onneted. The totl power loss in n unlned distriution system is given y [] Z ( ( ( Z Z Sloss = Z ( Z ( Z ( ( nhes Z ( ( ( Z Z Where = r j i ( 3 = j i j ( 3 = j i j TPL ssoited with oth tive nd retive omponent of nh urrents n e given s 97--799--3//$3. EEE

Sloss= nhes R R R R ( r i R ( i R ( i ( r ii 3 ri 3 i ( ii 3 i 3i ( r ii 3 i 3 ir TPL n e divided into two prts: TPL due to tive omponent of nh urrent nd TPL r due to retive omponent of nh urrent. TPL = TPL TPL r (3 Power loss ssoited with tive omponent of nh urrents n e minimized y supplying prt of tive power demnd lolly with the help of DGs. When unity power ftor DG is instlled t node k, the urrent DG flows towrds the susttion nd the urrent flowing through the respetive nhes redues, wheres, the urrent in the remining nhes remins unltered. Let α e the set of nhes from soure us to the k th us. Then the urrents of ll nhes in set α will e hnged. The urrent of other nhes ( α is unffeted y the DG. At unity power ftor, DG n supply only tive omponent of urrent. Hene fter instlling DG, rel power loss ssoited with tive omponent of nh urrent will e hnged. The simple distriution system is shown in Fig.. f the DG is pled t us, then the set α onsist of,, nd nhes. Fig.. Simple distriution system Rel power loss ssoited with tive omponent of urrent is TPL = nhes R R R R R R r ( r 3 ri 3i 3i 3i ( r 3i 3ir After pling DG t node k, new urrents of ll nhes in set α re given y r ( new ( new ( new = = = r D DG D DG D DG Where D=; if nh α =; otherwise ( ( The rel power loss for the ompensted system n e written s, R ( ( ( r DG R DG R DG ( r DG ( DG R ( ( 3 r DG i 3i DG ( DG TPL = ( DG ( DG nhes R ( ( 3 DG i 3 i DG ( ( DG r DG R ( ( 3 DG i 3i r DG The loss sving TPL sving is the differene etween eqns. & nd is given y DG TPL = TPL TPL (6 TPL sving sving = nhes R R R R D R D R D DG r DG DG DG DG DG (7 3i DG 3 i DG r 3 i DG DG to get the mximum loss DG DG DG DG DG DG DG DG DG DG DG DG i Current to e supplied y DG ( r i i 3 DG D 3 DG D 3 DG D sving n e otined y differentiting the eqn. (7 nd is given y R ( D DG D r TPLsving = R [ ( D D DG D 3i ] = ( DG nhes R ( D D DG D 3 i ] R ( D DG D TPLsving = R [ ( D r D DG D 3 i ] = (9 DG nhes R [ ( D D DG D 3 i ] R ( D DG D TPLsving = R [ ( D D DG D 3 i ] = ( DG nhes R [ ( D r D DG D 3 i ] Arrnging the eqns. (- in mtrix form, For mximum loss sving, required urrent to e supplied y DG is DG DG = [ MATRX ] *[ MATRX ] ( DG R Where [ ] MATRX = R [ MATRX ] = j α j α R R r R R 3R i 3R i R r R 3R i 3R i R r R 3R i 3R i 97--799--3//$3. EEE

α is the set of nhes from soure us to the us where DG is onneted. The orresponding DG size is, PDG = DG * V ( PDG = PDG = PDG (3 Here V is the voltge mgnitude of phse-a t k th us. The ove proedure n e repeted for ll nodes nd the node t whih loss svings is mximum will e onsidered s ndidte node for DG plement nd the orresponding size is the optiml size of DG.. ALGORTHM Step. Run the se se lod flow nd otin the nh urrents. Step. Selet us nd then find the urrent to e supplied y DG using eqn. ( to get mximum loss svings. Step 3. With the help of DG urrents ( DG = DG = DG, find the mximum loss sving using eqn. (7 nd the orresponding size y using eqns. (-3. Step. Repet steps -3 for ll uses exept t soure us nd identify the us t whih the loss sving is highest. Step. Compenste the seleted us with the orresponding DG size. V. RESULTS AND DSCUSSONS The proposed method of loss redution y optiml plement of DG hs een tested on us URDN [9]. The results t norml loding ondition hve een ompred with the existing method [9]. A. DG plement t Norml Loding At Norml loding ondition, without instlltion of DGs the totl rel nd retive power losses re.79 kw nd 67.7 kvar respetively nd the minimum us voltges (p.u re found tht.9,.939 nd.9369. However fter instlltion of DG of size 67.96 kw t eh phse of us 7, the rel nd retive power losses re redued y 6.99 % nd 7.7 % respetively. Minimum us voltges (p.u re inesed to.969,.96 nd.969. The results show tht the redution in power losses is more with the proposed method when ompred to Ref [9]. Tle shows the results for DG plement in URDN nd Fig. shows voltge profile under Norml lod ondition B. DG plement with summer sesonl loding n this setion, dily lod urve whih is more prtil to rel distriution system is onsidered. Voltge dependent lod model (ZP hs een onsidered for this pper work nd the vrition of three tegories of lods i.e. residentil, ommeril, nd industril with respet to time is lso onsidered. Figs. 3- show the voltge profile of us URDN without instlltion of DG with hours sesonl (summer lod vrition. Figs. 6- show the voltge profile of us URDN fter instlltion of DG with hours sesonl (summer lod vrition. t n e oserved form Figs. 3- tht the voltge profile hs een inesed fter instlltion of DGs. Fig. 9 shows the minimum voltge profile of us URDN efore nd fter instlltion of DG onsidering hours lod vrition. Fig. shows the rel nd retive power loss profile without nd with DG. From Fig., it is oserved tht the rel power losses re redued y round % nd retive power losses re redued y round 6% t eh hour. For summer lod vrition, the optiml lotion for plement of DG is 7 t ll hours nd the optiml DG size t eh hour is shown in Fig.. TABLE. RESULTS BUS URDN UNDER NORMAL LOADNG CONDTON Node Before DG Plement After DG Plement t UPF Ref [9] V (p.u V (p.u V (p.u V (p.u V (p.u V (p.u V (p.u V (p.u V (p.u.97.97.97.979.9.97.976.9776.9793 3.9633.96.969.973.973.9767.9696.979.97.997.969.96739.9697.977.97373.9667.967.9779.97.96.966.9679.96969.977.96.966.97 6.99.97.96.9737.97666.9776.9693.973.976 7.99.93.993.97363.97.97.963.96.967.96.937.997.9739.976.9773.967.96.9776 9.93.9366.9379.967.9696.9699.96.9667.967.93.936.9393.9637.96.967.963.969.979.99.9963.93763.966.963.9639.973.979.9733.9.9.9369.969.96.969.9739.97.97 3.97.97.936.96.966.963.9767.97.97.939.937.933.9676.9696.9693.96.99.966.93377.937.9.9677.967.96763.99.973.996 6.93.977.96.979.97.97.963.967.9666 7.9373.939.93.96669.96.96.96.99.96.973.96.963.9663.969.9767.96373.96.967 9.9.93.999.9667.9639.96636.96.963.96.9.963.96.966.96.9639.96.969.966.9379.97.963.963.9636.9669.963.967.9697.9.96.9.96.969.969.99.99.9697 3.967.93.9679.9669.967.97.96.9696.969.9.96.963.9636.9699.9697.967.963.9673 97--799--3//$3. EEE

.9.969.967.969.96.967.97.969.966 Min V (p.u.9.9.9369.969.96.969.99.973.996 DG Size (kw - - - 67.96 67.96 67.96 lotion - 7 PLoss (kw.33.3.6 7.3 9.366.339 3.6 33.93.93 QLoss (kvar.9 3.9.69 3.769 7.96 9.69 3.97 3.76 3.3 TPL (kw.79 79.79 9.69 TQL (kvar 67.73 7.36 3.763.99 Voltge (p.u.9.97.96.9 Fig.. Voltge profile of us URDN under Norml lod ondition.9 Bus numer Time (hrs 6 Fig.. profile of Phse C without DG Voltge (p.u.9.96.9.9 Bus Numer Time (hrs 6 Voltge (p.u.99.9.97.96.9 Bus Numer 6 Time (hrs Fig. 3. Voltge profile of Phse A without DG Fig. 6. Voltge profile of Phse A with DG Voltge (p.u.9.96.9 Voltge (p.u.99.9.97.9 Bus Numer Time (hrs 6.96.9 Bus Numer Time (hrs 6 Fig.. Voltge profile of Phse B without DG Fig. 7. Voltge profile of Phse B with D 97--799--3//$3. EEE

Voltge (p.u.99.9.97.96.9 Bus Numer Time (hrs 6 proper lotion hs een proposed in this pper. The method first finds the optiml size of DG t eh node y mximizing the loss sving eqution nd then the node t whih the loss sving is mximum will e onsidered s ndidte node of DG plement nd the orresponding size is the optiml size. The proposed method hs een tested on us unlned distriution system with relisti ZP lod y onsidering hour sesonl (summer lod vrition. The results show tht the proposed method is showing etter results ompred to existing method. ACKNOWLEDGMENT This is prt of the work tht hs een ried out under the projet sponsored y the Deprtment of Siene nd Tehnology, DST, New Delhi under the projet grnt: SR/S3/EECE/3/, SERB, New Delhi. The uthors knowledge DST, New Delhi for the grnt of the projet. Fig.. Voltge profile of Phse C with DG Fig. 9. Minimum voltge profile of us URDN Fig.. Rel nd Retive power loss profile without nd with DG Fig.. Optiml DG sizes t eh hour V. CONCLUSONS A simple method for minimizing the losses ssoited with tive omponent of nh urrents y pling optiml DG t REFERENCES [] W. El-Khttm nd M.M.A. Slm, Distriuted genertion tehnologies, definitions nd enefits, Eletri Power Systems Reserh, Vol. 7, ssue, pp. 9-,. [] K.H. Kim, Y.J. Lee, S.B. Rhee, S.K. Lee nd S.K.You, Dispersed genertor plement using fuzzy-ga in distriution system EEE PES Summer Meeting, Vol. 3, pp. -3,. [3] K. Nr, Y. Hyshi, K. ked nd T. Ashizw, Applition of tu serh to optiml plement of distriuted genertors EEE PES Winter Meeting, Vol., pp. 9-93,. [] J.O. Kim, S.W. Nm, S.K. Prk nd C. Singh, Dispersed genertion plnning using improved Hereford Rnh lgorithm Eletril Power Systems Reserh, Vol. 7, ssue, pp. 7-, 99. [] S. Ru nd Y.H. Wn, Optiml lotion of resoures in distriuted plnning EEE Trnstion in Power Systems, Vol. 9, ssue, pp. -, 99. [6] C. Wng nd M.H. Nehrir, Anlytil pprohes for optiml plement of DG soures in power systems EEE Trnstions on Power Systems, Vol. 9, ssue, pp. 6-76,. [7] V.V.S.N.Murthy nd Ashwni Kumr, Comprison of Optiml DG Allotion Methods in Rdil Distriution systems sed on Sensitivity Approhes, Eletril Power nd Energy Systems, Vol. 3, pp. 67, 3. [] K. Ngrju, S. Sivngrju, T. Rmn, S. Stynryn nd P.V. Rmn, A novel method for optiml distriuted genertion plement in rdil distriution systems Distriuted Genertion & Alterntive Energy Journl, Vol. 6, ssue, pp. 7-9,. [9] T. Rmn, V. Gnesh nd S. Sivngrju, Distriuted genertor plement nd sizing in unlned rdil distriution system Cogenertion & Distriuted Genertion Journl, Vol., ssue, pp. - 7,. [] J.H. Teng, A diret pproh for distriution system lod flow solutions EEE Trnstions on Power Delivery, Vol., No. 3, pp. -7, 3. [] K. Qin, C. Zhou, M. lln nd Y. Yun, Effet of lod models on ssessment of energy losses in distriution genertion plnning Eletril Power nd Energy Systems, Vol. 33, ssue 3, pp. 3-,. [] T.E. MDermott,. Drezg nd R.P. Brodwter, A heuristi nonliner onstrutive method for distriution system reonfigurtion EEE Trns on Power Syst., Vol., ssue, pp. 7-3, 999. 97--799--3//$3. EEE