Johns Hopkins Stochastic Multi-stage Integrated Network Expansion (JHSMINE) Version 1
|
|
- Victor Hart
- 5 years ago
- Views:
Transcription
1 Jons Hopkins Stocastic Muti-stage Integrated Network Expansion (JHSMINE) Version 1 Qingyu Xu, Benjamin F. Hos Juy Introduction In tis document, te asic JHSMINE formuation wi e sown. Tis woe formuation is a resut of mode deveopment across mutipe artices/reports. Tis is tus a comination of works of researcers from Hos group. Te origina formuation wit two-stage stocastic programming was from 1. Ten in 2, tis formuation was at te first time appied to WECC wit DC OPF mode enancement. Detais of a susequent appication tat incudes inearized unit commitment constraints 3 are in 4. 1, A. H. van der Weijde, B. F. Hos, Te economics of panning eectricity transmission to accommodate renewaes: Using two-stage optimisation to evauate fexiiity and te cost of disregarding uncertainty, Energy Economics, vo. 34, no. 6, pp , F. D. Munoz, B. F. Hos, J. L. Ho, S. Kasina, An Engineering-economic approac to transmission panning under market and reguatory uncertainties: WECC case study, IEEE Transactions on Power Systems, co. 29, no. 1, pp , S. Kasina, S. Wogrin and B. Hos, Approximations to unit comment in panning modes, INFORMS Annua Meeting, Minneapois, J. Ho, B. F. Hos, P. Donooo-Vaett, Q. Xu et a., Panning transmission for uncertainty: Appications and essons for te western interconnection, WECC, Sat Lake City, UT, Formuation 2.1 Set Root Set B: Bus set. Index:, i G: Generation type set. Index: g H: Mode stage set. Index: J: State set. Index: j L: Line set. Index: P : Period set. Index: t P at: Pat set. Index: u RP : REC trading pat set. Index: p S: Scenario set. Index: s 1
2 2.1.2 Suset B C : Conventiona u set B E : Existing use set B W : Renewae energy u set G D : Generation types to e dispatced G P : Generation types modeed as parameters G E : Existing generation types G I : Generation types to e invested G R : Renewae generation types L EXA : Existing AC Lines L EXD : Existing DC ines L CF B : First stage ackone reinforcement candidate ines L CSB : Second stage ackone reinforcement candidate ines L CBR : First stage renewae access candidate ines L CW R : Second stage renewae access candidate ines L EQ : Equivaent ines L H : Unidirectiona fictitious u ines, connecting conventiona us to te grid 2.2 Parameters Universa Parameters A, : Stage avaiaiity of candidate ine, for first-stage candidates, 1 for year 10 and 20; for second-stage candidates, 1 for ony year 20 ACPj : Aternate compiance payment (ACP) rate, Miion$/GW B : Susceptance of ine, GW CX : Capita cost of ine, Miion$ EM g : Emission rate, ton/mmbtu F : Line terma capacity, GW F OM g : Fixed O&M cost Miion$/(GW year) F OR g : Forced outage rate HW t : Hour-weigt of t HR g, : Heat rate of generation g on us, GW $/MMBTU IRP S j : Instate RPS requirement M : Large positive numer for AC candidate ine, GW P OR g : Paned Outage Rate P W,j : Popuation aocation weigt per us to eac state R u : Existing Pat rating, GW 2
3 RX : Expansion of pat rating wit candidate ine, non-zero for ackone reinforcement V : Numer of years for stage V OLL: Vaue of oad oss, Miion$/GW V OM g, : Variae O&M cost Miion$/GW W,g,t : Houry capacity factors for wind, soar and ydro, 1 for oter tecs Y,g 0 : Existing Capacity, GW Y Max,g : Maximum resource potentia at us under investment, GW Y R g : Cumuative forced retirement of generation capacity in stage δ: Discount Rate Φ, Eement of ine-node incidence matrix, 1 for to-us, -1 for from-us, oterwise 0 Ψ u, Eement of pat-ine incidence matrix, 1 for to-us, -1 for from-us, oterwise 0 Ω p,j : Eement of REC trading pat-state incidence matrix, inary Scenario Specific Parameters p s : Proaiity of scenario s CT ax s : Caron tax per scenario, $/ton CY,g,s : Capita cost of generation, Miion$/GW D,t,s : Forecasted demand, GW F P,g,s,t : Fue price of generation g on us, Miion $/MMBTU MC,g,s,t : Generation margina cost, Miion$/GW RP Sj,s : Renewae oigation of state j,% W RP S s : Region-wise RPS renewae oigation, % Cacuating MC g,s,t 2.3 Decision Variaes Investment Decision Variaes MC g,s,t = F P,g,s,tHR g, + CT ax s HR g, EM g + V OM g, (1) x CF B : Backone reinforcement first stage decision, inary, defined on L CF B x CSB,s : Backone reinforcement recourse decision, inary, defined on L CSB x CF R : Renewae access first stage investment decision, continuous 0-1, defined on L CF R x CSR,s : Renewae access investment recourse decision, continuous 0-1, defined on L CSR y,g : Generation expansion anticipation, GW, positive, defined on B C B W, G I y,g,s : Generation expansion recourse anticipation, GW, positive, defined on B C B W, G I 3
4 2.3.2 Operation Decision Variaes f,t,s : Power fow, GW, unrestricted k,g,t,s : Generation, GW, positive n j,s : Noncompiance of renewae target, GW, positive q s,p: Renewae energy credit trading, GW, positive r,t,s : Load curtaiment, positive θ,t,s : Pase ange, unrestricted φ,t,s : Load upift, GW 2.4 Ojection Function V OPs = v=1 Is 0 = CX x + CY 0 L CF B L CF R g G I Is 1 = CX x,s + CY 1 L CSB L CSR g G I V OCs ( 1 ) v = v=1 t P g G,g,sy,g (2),g,sy,g,s (3) MCg,s,tHW t k,g,t,s (4) ( 1 ) v V OLLHW t (r,t,s + φ,t,s) + ACPj,sn j,s B j J OM 1 s =,g OM 2 s =,g F OM g Y 0,g Y R 1,g + y,g F OM g Y 0,g Y R 2,g + y,g + y,g,s (5) (6) (7) min I 0 + s S Os = OCs + OPs + OMs (8) ( 1 ) V1(I 1 p s s + Os) 1 + ( 1 ) V1+V 2O 2 s (9) 2.5 Constraints RPS Constraint Region-wise RPS: 8760HW t P W,j k,g,t,s + n j,s j J g G R,t, State-wise RPS: W RP S s 8760HW t P W,j D,t,s r,t,s + φ o,,t,s Ωp,j qs,p + n j,s j J s, (10) g G R,t, 8760HW t P W,j k,g,t,s p In-State RPS: g G R,t, 8760HW t P W,j k,g,t,s p RP S j,s Ω >0 p,j q s,p + n j,s RP S j,sirp S j 8760HW t P W,j D,t,s r,t,s + φ o,,t,s 8760HW t P W,j D,t,s r,t,s + φ o,,t,s s,, j (11) s,, j (12) 4
5 2.5.2 Transmission Constraint: KCL Component Kircoff s Current Law: k,g,t,s + r,t,s + Φ, f,t,s φ o,,t,s D,t,s = 0 g, t, s, (13) Pat Ratings: Ψ u, f,t,s R u + A, RX (x + x,s ) s,, u, t (14) Load Curtaiment Limits: r,t,s D,t,s, t, s, (15) Terma Limits for Existing AC & DC ines: f,t,s F L EXA L EXD, t, s, (16) Terma Limits for Candidate Lines: f,t,s F A, (x + x,s ), t, s, (17) Hu Line Fow Non-negativity: f,t,s 0 L H, t, s, (18) Equivaent Line Terma Capacity (For Pipe and Bue formuation): f,t,s π 6 B L EQ (19) Transmission Constraint: KVL Component Swing Bus: θ 1,t,s = 0 t, s, (20) Kircoff s Votage Law for Existing AC ines and Equivaent ines: B 1Φ, θ,t,s = f,t,s L EXA L EQ (21) Kircoff s Votage Law for First Stage Backone Candidates: B 1Φ, θ,t,s f,t,s M (1 x ) L CF B, t, s, (22) Kircoff s Votage Law for Second Stage Backone Candidates: B 1Φ, θ,t,s 2 f,t,s 2 M (1 x,s ) L CSB, t, s (23) Pase Ange Difference Limit: Φ, θ,t,s π L EQ, t, s, (24) Generation Constraints Generation Investment Potentia: Invested Generation Limit Year 10: Invested Generation Limit Year 20: Existing Parameterized Generation: Existing Dispatcae Generation: y,g + y,g,s Y MAX,g, g, s (25) k 1,g,t,s (1 P OR g )(1 F OR g )W,g,t y,g B W B C, g G I, t, s (26) k 2,g,t,s (1 P OR g )(1 F OR g )W,g,t ( y,g + y,g,s ) B W B C, g G I, t, s (27) k,g,t,s = (1 P OR g )(1 F OR g )W,g,t (Y 0,g Y R,g), g G P, t, s, (28) k,g,t,s (1 P OR g )(1 F OR g )W,g,t (Y 0,g Y R,g), g G D G E, t, s, (29) 5
Demonstration of Ohm s Law Electromotive force (EMF), internal resistance and potential difference Power and Energy Applications of Ohm s Law
Lesson 4 Demonstration of Ohm s Law Eectromotive force (EMF), interna resistance and potentia difference Power and Energy Appications of Ohm s Law esistors in Series and Parae Ces in series and Parae Kirchhoff
More informationRelated Topics Maxwell s equations, electrical eddy field, magnetic field of coils, coil, magnetic flux, induced voltage
Magnetic induction TEP Reated Topics Maxwe s equations, eectrica eddy fied, magnetic fied of cois, coi, magnetic fux, induced votage Principe A magnetic fied of variabe frequency and varying strength is
More informationThe DC Optimal Power Flow
1 / 20 The DC Optimal Power Flow Quantitative Energy Economics Anthony Papavasiliou The DC Optimal Power Flow 2 / 20 1 The OPF Using PTDFs 2 The OPF Using Reactance 3 / 20 Transmission Constraints Lines
More informationTheory and implementation behind: Universal surface creation - smallest unitcell
Teory and impementation beind: Universa surface creation - smaest unitce Bjare Brin Buus, Jaob Howat & Tomas Bigaard September 15, 218 1 Construction of surface sabs Te aim for tis part of te project is
More informationDraft Wholesale Power Price Forecasts
Sixth & Electric Power Plan Draft Wholesale Power Price Forecasts Maury Galbraith Generating Resource Advisory Committee Meeting Portland, OR December 18, 28 Outline 1. Overall Perspective: Major AURORA
More informationPhysics 235 Chapter 8. Chapter 8 Central-Force Motion
Physics 35 Chapter 8 Chapter 8 Centra-Force Motion In this Chapter we wi use the theory we have discussed in Chapter 6 and 7 and appy it to very important probems in physics, in which we study the motion
More informationReliability Improvement with Optimal Placement of Distributed Generation in Distribution System
Reiabiity Improvement with Optima Pacement of Distributed Generation in Distribution System N. Rugthaicharoencheep, T. Langtharthong Abstract This paper presents the optima pacement and sizing of distributed
More informationAppendix A: MATLAB commands for neural networks
Appendix A: MATLAB commands for neura networks 132 Appendix A: MATLAB commands for neura networks p=importdata('pn.xs'); t=importdata('tn.xs'); [pn,meanp,stdp,tn,meant,stdt]=prestd(p,t); for m=1:10 net=newff(minmax(pn),[m,1],{'tansig','purein'},'trainm');
More informationLast lecture (#4): J vortex. J tr
Last lecture (#4): We completed te discussion of te B-T pase diagram of type- and type- superconductors. n contrast to type-, te type- state as finite resistance unless vortices are pinned by defects.
More informationPb1 y13 =-j10 Pb5. Pb4. y34 =-j10
EE 55, Exam, Take-home. Due Monday, April, 06, 5:00pm. You may use class notes or any reference materials (e.g., books, etc.) that you like; however, you must work alone, i.e., you should not be communicating
More informationMULTI-PERIOD MODEL FOR PART FAMILY/MACHINE CELL FORMATION. Objectives included in the multi-period formulation
ationa Institute of Technoogy aicut Department of echanica Engineering ULTI-PERIOD ODEL FOR PART FAILY/AHIE ELL FORATIO Given a set of parts, processing requirements, and avaiabe resources The objective
More informationMath 115 Test 1 Sample Problems for Dr. Hukle s Class
Mat 5 Test Sample Problems for Dr. Hukle s Class. Demand for a Jayawk pen at te Union is known to be D(p) = 26 pens per mont wen te selling p price is p dollars and eac p 3. A supplier for te bookstore
More informationInstructional Objectives:
Instructiona Objectives: At te end of tis esson, te students soud be abe to understand: Ways in wic eccentric oads appear in a weded joint. Genera procedure of designing a weded joint for eccentric oading.
More informationSecurity Constrained Optimal Power Flow
Security Constrained Optimal Power Flow 1. Introduction and notation Fiure 1 below compares te optimal power flow (OPF wit te security-constrained optimal power flow (SCOPF. Fi. 1 Some comments about tese
More informationMulti-Area Stochastic Unit Commitment for High Wind Penetration
Multi-Area Stochastic Unit Commitment for High Wind Penetration Workshop on Optimization in an Uncertain Environment Anthony Papavasiliou, UC Berkeley Shmuel S. Oren, UC Berkeley March 25th, 2011 Outline
More informationSoftware Tools: Congestion Management
Software Tools: Congestion Management Tom Qi Zhang, PhD CompuSharp Inc. (408) 910-3698 Email: zhangqi@ieee.org October 16, 2004 IEEE PES-SF Workshop on Congestion Management Contents Congestion Management
More informationSecurity-Constrained MIP formulation of Topology Control Using Loss-Adjusted Shift Factors
1 Security-Constrained MIP formuation of Topoogy Contro Using Loss-Adjusted Shift Factors Evgeniy A. Godis, Graduate Student Member, IEEE, Michae C. Caramanis, Member, IEEE, C. Russ Phibric, Senior Member,
More informationT.C. Banwell, S. Galli. {bct, Telcordia Technologies, Inc., 445 South Street, Morristown, NJ 07960, USA
ON THE SYMMETRY OF THE POWER INE CHANNE T.C. Banwe, S. Gai {bct, sgai}@research.tecordia.com Tecordia Technoogies, Inc., 445 South Street, Morristown, NJ 07960, USA Abstract The indoor power ine network
More informationTHE ROLE OF ENERGY IMBALANCE MANAGEMENT ON POWER MARKET STABILITY
Proceedings of HICSS-31, Big Isand of Hawaii, January 6-9, 1998, Voume III, pp. 4-8. THE ROLE OF ENERGY IMBALANCE MANAGEMENT ON POWER MARKET STABILITY Fernando L. Avarado Department of Eectrica and C.
More informationA General Correlation to Predict The Flow Boiling Heat Transfer of R410A in Macro/Mini Channels
Purdue University Purdue e-pubs Internationa Refrigeration and Air Conditioning Conference Scoo of Mecanica Engineering 1 A Genera Correation to Predict Te Fow Boiing Heat Transfer of R1A in Macro/Mini
More informationStochastic Variational Inference with Gradient Linearization
Stochastic Variationa Inference with Gradient Linearization Suppementa Materia Tobias Pötz * Anne S Wannenwetsch Stefan Roth Department of Computer Science, TU Darmstadt Preface In this suppementa materia,
More informationDistribution Systems Voltage Profile Improvement with Series FACTS Devices Using Line Flow-Based Equations
16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, 010 386 Distribution Systems otage Profie Improvement with Series FACTS Devices Using Line Fow-Based Equations K. enkateswararao, P. K. Agarwa
More informationA new stochastic program to facilitate intermittent renewable generation
A new stochastic program to facilitate intermittent renewable generation Golbon Zakeri Geoff Pritchard, Mette Bjorndal, Endre Bjorndal EPOC UoA and Bergen, IPAM 2016 Premise for our model Growing need
More informationTHE OUT-OF-PLANE BEHAVIOUR OF SPREAD-TOW FABRICS
ECCM6-6 TH EUROPEAN CONFERENCE ON COMPOSITE MATERIALS, Sevie, Spain, -6 June 04 THE OUT-OF-PLANE BEHAVIOUR OF SPREAD-TOW FABRICS M. Wysocki a,b*, M. Szpieg a, P. Heström a and F. Ohsson c a Swerea SICOMP
More informationA Statistical Framework for Real-time Event Detection in Power Systems
1 A Statistica Framework for Rea-time Event Detection in Power Systems Noan Uhrich, Tim Christman, Phiip Swisher, and Xichen Jiang Abstract A quickest change detection (QCD) agorithm is appied to the probem
More informationCalifornia Independent System Operator (CAISO) Challenges and Solutions
California Independent System Operator (CAISO) Challenges and Solutions Presented by Brian Cummins Manager, Energy Management Systems - CAISO California ISO by the numbers 65,225 MW of power plant capacity
More informationTHE NUMERICAL EVALUATION OF THE LEVITATION FORCE IN A HYDROSTATIC BEARING WITH ALTERNATING POLES
THE NUMERICAL EVALUATION OF THE LEVITATION FORCE IN A HYDROSTATIC BEARING WITH ALTERNATING POLES MARIAN GRECONICI Key words: Magnetic iquid, Magnetic fied, 3D-FEM, Levitation, Force, Bearing. The magnetic
More informationGauss Law. 2. Gauss s Law: connects charge and field 3. Applications of Gauss s Law
Gauss Law 1. Review on 1) Couomb s Law (charge and force) 2) Eectric Fied (fied and force) 2. Gauss s Law: connects charge and fied 3. Appications of Gauss s Law Couomb s Law and Eectric Fied Couomb s
More informationIn-plane shear stiffness of bare steel deck through shell finite element models. G. Bian, B.W. Schafer. June 2017
In-pane shear stiffness of bare stee deck through she finite eement modes G. Bian, B.W. Schafer June 7 COLD-FORMED STEEL RESEARCH CONSORTIUM REPORT SERIES CFSRC R-7- SDII Stee Diaphragm Innovation Initiative
More informationMulti-Area Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network
Multi-Area Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network Anthony Papavasiliou Center for Operations Research and Econometrics Université catholique de Louvain,
More informationA h u h = f h. 4.1 The CoarseGrid SystemandtheResidual Equation
Capter Grid Transfer Remark. Contents of tis capter. Consider a grid wit grid size and te corresponding linear system of equations A u = f. Te summary given in Section 3. leads to te idea tat tere migt
More informationUncertainty in energy system models
Uncertainty in energy system models Amy Wilson Durham University May 2015 Table of Contents 1 Model uncertainty 2 3 Example - generation investment 4 Conclusion Model uncertainty Contents 1 Model uncertainty
More informationOnline Appendix. to Add-on Policies under Vertical Differentiation: Why Do Luxury Hotels Charge for Internet While Economy Hotels Do Not?
Onine Appendix to Add-on Poicies under Vertica Differentiation: Wy Do Luxury Hotes Carge for Internet Wie Economy Hotes Do Not? Song Lin Department of Marketing, Hong Kong University of Science and Tecnoogy
More informationOptimal Power Flow. S. Bose, M. Chandy, M. Farivar, D. Gayme S. Low. C. Clarke. Southern California Edison. Caltech. March 2012
Optimal Power Flow over Radial Networks S. Bose, M. Chandy, M. Farivar, D. Gayme S. Low Caltech C. Clarke Southern California Edison March 2012 Outline Motivation Semidefinite relaxation Bus injection
More informationSupplemental Notes to. Physical Geodesy GS6776. Christopher Jekeli. Geodetic Science School of Earth Sciences Ohio State University
Suppementa Notes to ysica Geodesy GS6776 Cristoper Jekei Geodetic Science Scoo of Eart Sciences Oio State University 016 I. Terrain eduction (or Correction): Te terrain correction is a correction appied
More informationIMA Preprint Series # 2323
A MATRIX FORMULATION OF THE NEWTON DYNAMICS FOR THE FREE FLIGHT OF AN INSECT By Sheng Xu IMA Preprint Series # 2323 ( June 21 ) INSTITUTE FOR MATHEMATICS AND ITS APPLICATIONS UNIVERSITY OF MINNESOTA 4
More informationA Progressive Hedging Approach to Multistage Stochastic Generation and Transmission Investment Planning
A Progressive Hedging Approach to Multistage Stochastic Generation and Transmission Investment Planning Yixian Liu Ramteen Sioshansi Integrated Systems Engineering Department The Ohio State University
More informationOptimization Based Bidding Strategies in the Deregulated Market
Optimization ased idding Strategies in the Dereguated arket Daoyuan Zhang Ascend Communications, nc 866 North ain Street, Waingford, C 0649 Abstract With the dereguation of eectric power systems, market
More informationReliability: Theory & Applications No.3, September 2006
REDUNDANCY AND RENEWAL OF SERVERS IN OPENED QUEUING NETWORKS G. Sh. Tsitsiashvii M.A. Osipova Vadivosto, Russia 1 An opened queuing networ with a redundancy and a renewa of servers is considered. To cacuate
More informationEffects of Various Uncertainty Sources on Automatic Generation Control Systems
Effects of Various Uncertainty Sources on Automatic Generation Control Systems D. Apostolopoulou, Y. C. Chen, J. Zhang, A. D. Domínguez-García, and P. W. Sauer University of Illinois at Urbana-Champaign
More informationThe New Keynesian Model: Introduction
The New Keynesian Model: Introduction Vivaldo M. Mendes ISCTE Lisbon University Institute 13 November 2017 (Vivaldo M. Mendes) The New Keynesian Model: Introduction 13 November 2013 1 / 39 Summary 1 What
More informationSINGLE OBJECTIVE RISK- BASED TRANSMISSION EXPANSION
Vol.2, Issue.1, Jan-Feb 2012 pp-424-430 ISSN: 2249-6645 SINGLE OBJECTIVE RISK- BASED TRANSMISSION EXPANSION V.Sumadeepthi 1, K.Sarada 2 1 (Student, Department of Electrical and Electronics Engineering,
More informationChapter 2. Planning Criteria. Turaj Amraee. Fall 2012 K.N.Toosi University of Technology
Chapter 2 Planning Criteria By Turaj Amraee Fall 2012 K.N.Toosi University of Technology Outline 1- Introduction 2- System Adequacy and Security 3- Planning Purposes 4- Planning Standards 5- Reliability
More informationHigh Spectral Resolution Infrared Radiance Modeling Using Optimal Spectral Sampling (OSS) Method
High Spectra Resoution Infrared Radiance Modeing Using Optima Spectra Samping (OSS) Method J.-L. Moncet and G. Uymin Background Optima Spectra Samping (OSS) method is a fast and accurate monochromatic
More informationb 1 A = bh h r V = pr
. Te use of a calculator is not permitted.. All variables and expressions used represent real numbers unless oterwise indicated.. Figures provided in tis test are drawn to scale unless oterwise indicated..
More informationEnhanced Decision Support for a Changing Electricity Landscape:
Enhanced Decision Support for a Changing Eectricity Landscape: The GenX Configurabe Eectricity Resource Capacity Expansion Mode An MIT Energy Initiative Working Paper Revision 1.0 November 27, 2017 Jesse
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationImplemental Formulation of Newton Dynamics for Free Insect Flight
Impementa Formuation of Neton Dynamics for Free Insect Fight Sheng Xu Department of Mathematics, Southern Methodist University, Daas, TX 75275-156, USA Astract A free-fying insect fies and maneuvers y
More information5.74 Introductory Quantum Mechanics II
MIT OpenCourseWare ttp://ocw.mit.edu 5.74 Introductory Quantum Mecanics II Spring 9 For information about citing tese materials or our Terms of Use, visit: ttp://ocw.mit.edu/terms. Andrei Tokmakoff, MIT
More informationEOQ and EPQ-Partial Backordering-Approximations
USING A ONSTANT RATE TO APPROXIMATE A LINEARLY HANGING RATE FOR THE EOQ AND EPQ WITH PARTIAL BAKORDERING David W. Pentico, Palumo-Donaue Scool of Business, Duquesne University, Pittsurg, PA 158-18, pentico@duq.edu,
More informationEE 303 Homework on Transformers, Dr. McCalley.
EE 303 Homework on Transformers, Dr. ccaey.. The physica construction of four pairs of magneticay couped cois is shown beow. Assume that the magnetic fux is confined to the core materia in each structure
More informationMath Test No Calculator
Mat Test No Calculator MINUTES, QUESTIONS Turn to Section of your answer seet to answer te questions in tis section. For questions -, solve eac problem, coose te best answer from te coices provided, and
More informationWilliam Nordhaus, Economic aspects of global warming in a post-copenhagen environment
Supporting Information William Nordhaus, Economic aspects of global warming in a post-copenhagen environment Downloadable version. Note that the model is available in an Excel version at the author s webpage
More informationChapter 7 PRODUCTION FUNCTIONS. Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved.
Chapter 7 PRODUCTION FUNCTIONS Copyright 2005 by South-Western, a division of Thomson Learning. A rights reserved. 1 Production Function The firm s production function for a particuar good (q) shows the
More informationTransmission Planning: Cluster Analysis
Transmission Planning: Cluster Analysis OVERVIEW The Clean Energy Act requires the 2011 Integrated Resource Plan (IRP) to include a description of 30-year transmission needs including an assessment of
More informationIntroduction. Figure 1 W8LC Line Array, box and horn element. Highlighted section modelled.
imuation of the acoustic fied produced by cavities using the Boundary Eement Rayeigh Integra Method () and its appication to a horn oudspeaer. tephen Kirup East Lancashire Institute, Due treet, Bacburn,
More informationPublished in: Proceedings of the Twenty Second Nordic Seminar on Computational Mechanics
Aaborg Universitet An Efficient Formuation of the Easto-pastic Constitutive Matrix on Yied Surface Corners Causen, Johan Christian; Andersen, Lars Vabbersgaard; Damkide, Lars Pubished in: Proceedings of
More informationParameterized Soft Complex Fuzzy Sets
Journal of Progressive Researc in Matematics(JPRM) IN: 95-08 CITECH Volume Issue REERCH ORGNITION Publised online: June 7 05 Journal of Progressive Researc in Matematics www.scitecresearc.com/journals
More informationTwo-stage least squares as minimum distance
Econometrics Journa (2018), voume 0, pp. 1 9. doi: 10.1111/ectj.12115 Two-stage east squares as minimum distance FRANK WINDMEIJER Department of Economics and IEU, University of Bristo, Priory Road, Bristo,
More informationRELUCTANCE The resistance of a material to the flow of charge (current) is determined for electric circuits by the equation
INTRODUCTION Magnetism pays an integra part in amost every eectrica device used today in industry, research, or the home. Generators, motors, transformers, circuit breakers, teevisions, computers, tape
More informationBP neural network-based sports performance prediction model applied research
Avaiabe onine www.jocpr.com Journa of Chemica and Pharmaceutica Research, 204, 6(7:93-936 Research Artice ISSN : 0975-7384 CODEN(USA : JCPRC5 BP neura networ-based sports performance prediction mode appied
More informationCoupled Optimization Models for Planning and Operation of Power Systems on Multiple Scales
Coupled Optimization Models for Planning and Operation of Power Systems on Multiple Scales Michael C. Ferris University of Wisconsin, Madison Computational Needs for the Next Generation Electric Grid,
More informationMathematical Scheme Comparing of. the Three-Level Economical Systems
Appied Mathematica Sciences, Vo. 11, 2017, no. 15, 703-709 IKAI td, www.m-hikari.com https://doi.org/10.12988/ams.2017.7252 Mathematica Scheme Comparing of the Three-eve Economica Systems S.M. Brykaov
More informationPb1 y13 =-j10 Pb5. Pb4. y34 =-j10
EE 55, Exam, ake-home. Due Monday, April, 06, 5:00pm. You may use class notes or any reference materials (e.g., books, etc.) that you like; however, you must work alone, i.e., you should not be communicating
More information12.2. Maxima and Minima. Introduction. Prerequisites. Learning Outcomes
Maima and Minima 1. Introduction In this Section we anayse curves in the oca neighbourhood of a stationary point and, from this anaysis, deduce necessary conditions satisfied by oca maima and oca minima.
More informationFinding and Using Derivative The shortcuts
Calculus 1 Lia Vas Finding and Using Derivative Te sortcuts We ave seen tat te formula f f(x+) f(x) (x) = lim 0 is manageable for relatively simple functions like a linear or quadratic. For more complex
More informationTransmission Expansion Planning for Large Power Systems. Hui Zhang
Transmission Expansion Planning for Large Power Systems by Hui Zhang A Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Approved July 2013 by the Graduate
More informationInterim Exam 1 5AIB0 Sensing, Computing, Actuating , Location AUD 11
Interim Exam 1 5AIB0 Sensing, Computing, Actuating 3-5-2015, 14.00-15.00 Location AUD 11 Name: ID: This interim exam consists of 1 question for which you can score at most 30 points. The fina grade for
More informationFirst-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries
c 26 Noninear Phenomena in Compex Systems First-Order Corrections to Gutzwier s Trace Formua for Systems with Discrete Symmetries Hoger Cartarius, Jörg Main, and Günter Wunner Institut für Theoretische
More informationOnline Appendices for The Economics of Nationalism (Xiaohuan Lan and Ben Li)
Onine Appendices for The Economics of Nationaism Xiaohuan Lan and Ben Li) A. Derivation of inequaities 9) and 10) Consider Home without oss of generaity. Denote gobaized and ungobaized by g and ng, respectivey.
More informationProceedings of Meetings on Acoustics
Proceedings of Meetings on Acoustics Voume 9, 23 http://acousticasociety.org/ ICA 23 Montrea Montrea, Canada 2-7 June 23 Architectura Acoustics Session 4pAAa: Room Acoustics Computer Simuation II 4pAAa9.
More informationToward Coordinated Transmission and Distribution Operations Mikhail Bragin, IEEE, Member, Yury Dvorkin, IEEE, Member.
Toward Coordinated Transmission and Distribution Operations Mikhai Bragin, IEEE, Member, Yury Dvorkin, IEEE, Member. arxiv:803.0268v [eess.sp] 3 Mar 208 Abstract Proiferation of smart grid technoogies
More informationThe Incorporation of a Discrete, Dynamic LTC Transformer Model in a Dynamic Power Flow Algorithm
Downoaded from orbit.dtu.dk on: Dec 6, 08 The Incorporation of a Discrete, Dynamic LTC Transformer Mode in a Dynamic Power Fow Agorithm Garcia-Vae, Rodrigo; Acha, Enrique Pubished in: The Internationa
More informationSecond-order cone AC optimal power flow: convex relaxations and feasible solutions
J. Mod. Power Syst. Cean Energy (19) 7():68 8 https://doi.org/1.17/s46-18-46-7 Second-order cone AC optima power fow: convex reaxations and feasibe soutions Zhao YUAN 1, Mohammad Reza HESAMZADEH 1 Abstract
More informationAESO Load Forecast Application for Demand Side Participation. Eligibility Working Group September 26, 2017
AESO Load Forecast Application for Demand Side Participation Eligibility Working Group September 26, 2017 Load forecasting for the Capacity Market Demand Considerations Provide further information on forecasting
More informationOptimal Transmission Switching for Reducing Market Power Cost
Optima Transmission Switching for Reducing Market Power Cost Maria Aejandra Noriega Odor Degree project in Eectric Power Systems Second Leve, Stockhom, Sweden 2012 XR-EE-ES 2012:016 Optima Transmission
More information1 Solutions to the in class part
NAME: Solutions to te in class part. Te grap of a function f is given. Calculus wit Analytic Geometry I Exam, Friday, August 30, 0 SOLUTIONS (a) State te value of f(). (b) Estimate te value of f( ). (c)
More information<C 2 2. λ 2 l. λ 1 l 1 < C 1
Teecommunication Network Contro and Management (EE E694) Prof. A. A. Lazar Notes for the ecture of 7/Feb/95 by Huayan Wang (this document was ast LaT E X-ed on May 9,995) Queueing Primer for Muticass Optima
More informationChapter 5. Transmission networks and electricity markets
Chapter 5. Transmission networks and electricity markets 1 Introduction In most of the regions of the world: assumptions that electrical energy can be traded as if all generators were connected to the
More informationPERFORMANCE COMPARISON OF OPEN AND CLOSED LOOP OPERATION OF UPFC
OL. 3, NO. 5, OCTOE 008 ISSN 89-6608 AN Journa o Engineering and Appied Sciences 006-008 Asian esearch ubishing Networ (AN. A rights reserved. www.arpnournas.com EFOMANCE COMAISON OF OEN AND CLOSED LOO
More information16PESGM2316 Characterizing Transmission System Harmonic Impedances with R-X Loci Plots. David Mueller
1 16PESGM2316 Characterizing Transmission System Harmonic Impedances with R-X Loci Plots David Mueller 2 Transmission System Harmonics Studies In the US, the closure of older coal fired plants is a driver
More informationDepartamento de Engenharia Elétrica, Universidad de Sâo Paulo, Sâo Carlos, June 30,
Bieve programming appied to power system vunerabiity anaysis under mutipe contingencies José M. Arroyo E-mai: JoseManue.Arroyo@ucm.es Departamento de Ingeniería Eéctrica, Eectrónica, Automática y Comunicaciones
More information232 Calculus and Structures
3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE
More information2015 IEEE. Digital Object Identifier: /PTC
2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes,
More informationA Scenario-based Transmission Network Expansion Planning in Electricity Markets
A -based Transmission Network Expansion ning in Electricity Markets Pranjal Pragya Verma Department of Electrical Engineering Indian Institute of Technology Madras Email: ee14d405@ee.iitm.ac.in K.S.Swarup
More informationR O B U S T E N E R G Y M AN AG E M E N T S Y S T E M F O R I S O L AT E D M I C R O G R I D S
ROBUST ENERGY MANAGEMENT SYSTEM FOR ISOLATED MICROGRIDS Jose Daniel La r a Claudio Cañizares Ka nka r Bhattacharya D e p a r t m e n t o f E l e c t r i c a l a n d C o m p u t e r E n g i n e e r i n
More informationCapacity sharing among truck owners: A collaborative approach to overcome overloading
Capacity sharing among truck owners: A coaborative approach to overcome overoading Arindam Debroy 1 Research Schoar debroyarindam1@gmai.com S. P. Sarmah 1 Professor 1 Department of Industria and Systems
More informationEdinburgh Research Explorer
Edinburgh Research Exporer Network distributed generation capacity anaysis using OPF with votage step constraints Citation for pubished version: Dent, CJ, Ochoa, LF & Harrison, G 2010, 'Network distributed
More informationLobontiu: System Dynamics for Engineering Students Website Chapter 3 1. z b z
Chapter W3 Mechanica Systems II Introduction This companion website chapter anayzes the foowing topics in connection to the printed-book Chapter 3: Lumped-parameter inertia fractions of basic compiant
More informationA SHORT INTRODUCTION TO BANACH LATTICES AND
CHAPTER A SHORT INTRODUCTION TO BANACH LATTICES AND POSITIVE OPERATORS In tis capter we give a brief introduction to Banac lattices and positive operators. Most results of tis capter can be found, e.g.,
More informationTangent Lines-1. Tangent Lines
Tangent Lines- Tangent Lines In geometry, te tangent line to a circle wit centre O at a point A on te circle is defined to be te perpendicular line at A to te line OA. Te tangent lines ave te special property
More informationCombining reaction kinetics to the multi-phase Gibbs energy calculation
7 th European Symposium on Computer Aided Process Engineering ESCAPE7 V. Pesu and P.S. Agachi (Editors) 2007 Esevier B.V. A rights reserved. Combining reaction inetics to the muti-phase Gibbs energy cacuation
More informationModelling wind power in unit commitment models
Modelling wind power in unit commitment models Grid integration session IEA Wind Task 25 Methodologies to estimate wind power impacts to power systems Juha Kiviluoma, Hannele Holttinen, VTT Technical Research
More informationFRST Multivariate Statistics. Multivariate Discriminant Analysis (MDA)
1 FRST 531 -- Mutivariate Statistics Mutivariate Discriminant Anaysis (MDA) Purpose: 1. To predict which group (Y) an observation beongs to based on the characteristics of p predictor (X) variabes, using
More informationStochastic Unit Commitment with Topology Control Recourse for Renewables Integration
1 Stochastic Unit Commitment with Topology Control Recourse for Renewables Integration Jiaying Shi and Shmuel Oren University of California, Berkeley IPAM, January 2016 33% RPS - Cumulative expected VERs
More informationMINISTRY OF EDUCATION AND SCIENCE OF UKRAINE. National aerospace university Kharkiv Aviation Institute. Department of aircraft strength
MINISTRY OF EDUCTION ND SCIENCE OF UKRINE Nationa aerospace uniersity Karki iation Institute Department of aircraft strengt Course Mecanics of materias and structures HOME PROBLEM 6 Graps of Sear and Norma
More informationSure Shot 2016 Electric Current By M K Ezaz
Sure Shot 06 Eectric Current B M K Ezaz. A 0 V batter of negigibe interna resistance is connected across a 00 V batter and a resistance of 38 Ω. Find the vaue of the current in circuit. () E 00 0 A: I
More informationA Unified Framework for Defining and Measuring Flexibility in Power System
J A N 1 1, 2 0 1 6, A Unified Framework for Defining and Measuring Flexibility in Power System Optimization and Equilibrium in Energy Economics Workshop Jinye Zhao, Tongxin Zheng, Eugene Litvinov Outline
More informationDigital Filter Structures
Digital Filter Structures Te convolution sum description of an LTI discrete-time system can, in principle, be used to implement te system For an IIR finite-dimensional system tis approac is not practical
More informationMISO September 15 Maximum Generation Event Overview. October 11, 2018
MISO September 15 Maximum Generation Event Overview October 11, 2018 Purpose & Key Takeaways Purpose: Summarize operations during the September 15 South Region Maximum Generation Event Key Takeaways: MISO
More information