001390323 000__ 08826nam\a22006258i\4500
001390323 001__ 1390323
001390323 003__ DLC
001390323 005__ 20220420003052.0
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001390323 007__ cr\un\nnnunnun
001390323 008__ 200602s2020\\\\nju\\\\\ob\\\\001\0\eng\d
001390323 010__ $$a  2020024731
001390323 020__ $$a9781119534938$$q(electronic book)
001390323 020__ $$a1119534933$$q(electronic book)
001390323 020__ $$a9781119534891$$q(electronic book)
001390323 020__ $$a1119534895$$q(electronic book)
001390323 020__ $$a9781119534877$$q(electronic book)
001390323 020__ $$a1119534879$$q(electronic book)
001390323 020__ $$z9781119534884
001390323 040__ $$aNhCcYBP$$cNhCcYBP
001390323 042__ $$apcc
001390323 050_4 $$aTK1006
001390323 08200 $$a621.31/213$$223
001390323 1001_ $$aXu, Yinliang,$$eauthor.
001390323 24510 $$aDistributed energy management of electrical power systems /$$cYinliang Xu, Wei Zhang, Wenxin Liu, Wen Yu.
001390323 250__ $$aFirst edition.
001390323 263__ $$a2008
001390323 264_1 $$aHoboken, NJ :$$bJohn Wiley & Sons, Inc.,$$c[2020]
001390323 300__ $$a1 online resource.
001390323 336__ $$atext$$btxt$$2rdacontent
001390323 337__ $$acomputer$$bn$$2rdamedia
001390323 338__ $$aonline resource$$bnc$$2rdacarrier
001390323 4900_ $$aIEEE Press series on power engineering ;$$v100
001390323 504__ $$aIncludes bibliographical references and index.
001390323 5050_ $$a1 Background 1 -- 1.1 Power Management 1 -- 1.2 Traditional centralized vs. distributed solutions to power management 2 -- 1.3 Existing distributed control approaches 3 -- 2 Algorithm Evaluation 5 -- 2.1 Communication Network Topology Configuration 5 -- 2.1.1 Communication Network Design for Distributed Applications 5 -- 2.1.2 N-1 Rule for communication network design 6 -- 2.1.3 Convergence of distributed algorithms with variant communication network typologies -- 2.2 Real-Time Digital Simulation 10 -- 2.2.1 Develop MAS Platform Using JADE 11 -- 2.2.2 Test distributed algorithms using MAS 12 -- 2.2.3 MAS based Real-time Simulation Platform 13 -- References 15 -- 3 Distributed Active Power Control 17 -- 3.1 Subgradient-based Active Power Sharing 17 -- 3.1.1 Introduction 17 -- 3.1.2 Preliminaries-Conventional Droop Control Approach 18 -- 3.1.3 The proposed Subgradient-Based Control Approach 19 -- 3.1.4 Control of Multiple Distributed Generators 24 -- 3.1.5 Simulation analyses 27 -- 3.1.6 Conclusion 33 -- 3.2 Distributed Dynamic Programming Based Approach for Economic Dispatch in Smart Grids 35 -- 3.2.1 Introduction 35 -- 3.2.2 Preliminary 36 -- 3.2.3 Graph theory 36 -- 3.2.4 Dynamic Programming 37 -- 3.2.5 Problem Formulation 37 -- 3.2.6 Economic Dispatch Problem 37 -- 3.2.7 Discrete Economic Dispatch Problem 38 -- 3.2.8 Proposed Distributed Dynamic Programming Algorithm 39 -- 3.2.9 Distributed Dynamic Programming Algorithm 39 -- 3.2.10 Algorithm Implementation 40 -- 3.2.11 Simulation Studies 41 -- 3.2.12 Four-generator system: synchronous iteration 41 -- 3.2.13 Four-generator system: Asynchronous iteration 44 -- 3.2.14 IEEE 162-bus system 46 -- 3.2.15 Hardware Implementation 47 -- 3.2.16 Conclusion 48 -- 3.3 Constrained Distributed Optimal Active Power Dispatch 48 -- 3.3.1 Problem Formulation 49 -- 3.3.2 Distributed Gradient Algorithm 50 -- 3.3.3 Distributed gradient algorithm 50 -- 3.3.4 Inequality Constraints Handling 52 -- 3.3.5 Numerical Example 53 -- 3.3.6 Control Implementation 56.
001390323 5058_ $$a3.3.7 Communication Network Design 57 -- 3.3.8 Generator Control Implementation 58 -- 3.3.9 Simulation Studies 59 -- 3.3.10 Real-time Simulation Platform 59 -- 3.3.11 IEEE-30 Bus System 59 -- 3.3.12 Conclusion and Discussion 66 -- References 67 -- 4 Distributed Reactive Power Control 73 -- 4.1 Q-Learning based reactive power control 73 -- 4.1.1 Introduction 73 -- 4.1.2 Background 74 -- 4.1.3 Algorithm used to collect global information 74 -- 4.1.4 Reinforcement learning 75 -- 4.1.5 MAS based RL Algorithm for ORPD 75 -- 4.1.6 RL Reward Function Definition 76 -- 4.1.7 Distributed Q-Learning for ORPD 76 -- 4.1.8 MASRL implementation for ORPD 78 -- 4.1.9 Simulation Results 79 -- 4.1.10 The Ward-Hale 6-bus system 79 -- 4.1.11 Conclusion 86 -- 4.2 Sub-gradient Based Reactive Power Control 87 -- 4.2.1 Introduction 87 -- 4.2.2 Problem Formulation 89 -- 4.2.3 The Distributed Sub-gradient Algorithm 90 -- 4.2.4 Subgradient distribution Calculation 91 -- 4.2.5 Realization of Mas-based Solution 94 -- 4.2.6 Simulation and Tests 96 -- 4.2.7 CONCLUSION 105 -- References -- 5 Distributed Demand-Side Management 111 -- 5.1 System Design and Problem Formulation 112 -- 5.1.1 System description and problem formulation 112 -- 5.1.2 Problem Formulation 113 -- 5.1.3 Distributed Dynamic Programming 114 -- 5.1.4 Abstract Framework of Dynamic Programming (DP) 114 -- 5.1.5 Distributed Solution for Dynamic Programming Problem 115 -- 5.1.6 Numerical Example 117 -- 5.1.7 Implementation of the LM system 118 -- 5.1.8 Simulation Studies 119 -- 5.1.9 Test with IEEE 14-bus System 119 -- 5.1.10 Large test Systems 124 -- 5.1.11 Variable Renewable Generation 125 -- 5.1.12 With Time-delay/Packet Loss 126 -- 5.1.13 Conclusion and discussion 127 -- 5.2 Optimal Distributed Charging Rate Control of Plug-in Electric Vehicles for Demand -- Management 128 -- 5.2.1 Background 129 -- 5.2.2 Problem Formulation Of The Proposed Control Strategy 130 -- 5.2.3 Proposed Cooperative Control Algorithm 133 -- 5.2.4 MAS Framework 133.
001390323 5058_ $$a5.2.5 The design and analysis of distributed algorithm 134 -- 5.2.6 Algorithm Implementation 134 -- 5.2.7 Simulation Studies 136 -- 5.2.8 Case Study 1 136 -- 5.2.9 Case Study 2 138 -- 5.2.10 Case Study 3 139 -- 5.2.11 Conclusion 140 -- References -- 6 Distributed Social Welfare Optimization 145 -- 6.1 Formulation of OEM Problem 146 -- 6.1.1 Social Welfare Maximization Model 147 -- 6.1.2 Market-based Self-interest Motivation Mode 148 -- 6.1.3 Relationship between two models 149 -- 6.2 Fully distributed MAS-Based OEM Solution 151 -- 6.2.1 Distributed Price Updating Algorithm 151 -- 6.2.2 Distributed Supply-demand Mismatch Discovery Algorithm 153 -- 6.2.3 Implementation of MAS-based OEM Solution 153 -- 6.3 Simulation Studies 154 -- 6.3.1 Tests with a 6-bus System 155 -- 6.3.2 Test with IEEE 30-bus System 161 -- 6.4 Conclusion 162 -- References -- 7 Distributed State Estimation 165 -- 7.1 A Distributed Approach for Multi-area State Estimation Based on Consensus Algorithm 165 -- 7.1.1 The Implementation for Distributed State Estimation 171 -- 7.1.2 Case Studies 172 -- 7.1.3 Conclusion and Discussion 175 -- 7.2 Multi-agent System Based Integrated Solution for Topology Identification and State Estimation -- 7.2.1 Measurement Model of Multi-Area Power System 180 -- 7.2.2 Distributed Subgradient Algorithm for MAS-Based Optimization 181 -- 7.2.3 Distributed Topology Identification 184 -- 7.2.4 Distributed State Estimation 187 -- 7.2.5 Implementation of the Integrated MAS Based Solution for TI and SE188 -- 7.2.6 Simulation Studies 189 -- 7.2.7 Conclusion and Discussion 197 -- References -- 8 Test through Power Hardware in the Loop Experimentation till Real-World Implementation -- 8.1 Steps of Algorithm Evaluation 201 -- 8.2 C-HIL Simulations 202 -- 8.2.1 PC-based C-HIL simulation 203 -- 8.2.2 DSP Control Board based Controller HIL Simulation 205 -- 8.2.3 Power Hardware-In-the-Loop Simulation 207 -- 8.2.4 Hardware Experimentation 209 -- 8.3 Development of Microgrid Test-beds 209.
001390323 5058_ $$a8.3.1 Development of Modular 3-phase AC microgrid testbed 209 -- 8.3.2 Development of Modular Single-phase AC/DC microgrid testbed 210 -- 8.3.3 Control Algorithm Implementation with the New Microgrid Test-beds 211 -- 8.4 Hardware Experimental Studies 212 -- 8.4.1 Algorithm Design 212 -- 8.4.2 Algorithm Test 213 -- References -- 9 Conclusion and Future Work 217 -- 9.1 Consider More Constraints and Details 217 -- 9.2 Future work 220 References.
001390323 506__ $$aAccess limited to authorized users
001390323 533__ $$aElectronic reproduction.$$bAnn Arbor, MI$$nAvailable via World Wide Web.
001390323 588__ $$aDescription based on print version record and CIP data provided by publisher; resource not viewed.
001390323 650_0 $$aDistributed generation of electric power.
001390323 650_0 $$aElectric power systems$$xManagement.
001390323 650_0 $$aDistributed parameter systems.
001390323 655_0 $$aElectronic books
001390323 7001_ $$aZhang, Wei$$c(Engineer),$$eauthor.
001390323 7001_ $$aLiu, Wenxin,$$d1978-$$eauthor.
001390323 7001_ $$aYu, Wen,$$d1977-$$eauthor.
001390323 7102_ $$aProQuest (Firm)
001390323 77608 $$iPrint version:$$aXu, Yinliang.$$tDistributed energy management of electrical power systems$$bFirst edition.$$dHoboken, NJ : John Wiley & Sons, Inc., [2020]$$z9781119534884$$w(DLC)  2020024730
001390323 852__ $$bebk
001390323 85640 $$3GOBI DDA$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=6425039$$zOnline Access
001390323 909CO $$ooai:library.usi.edu:1390323$$pGLOBAL_SET
001390323 980__ $$aBIB
001390323 980__ $$aEBOOK
001390323 982__ $$aEbook
001390323 983__ $$aOnline