Buch, Englisch, 288 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 544 g
Economic Efficiency and Risk Mitigation
Buch, Englisch, 288 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 544 g
Reihe: IEEE Series on Power Engineering
ISBN: 978-1-118-98454-3
Verlag: Wiley
Covers the latest practices, challenges and theoretical advancements in the domain of balancing economic efficiency and operation risk mitigation
This book examines both system operation and market operation perspectives, focusing on the interaction between the two. It incorporates up-to-date field experiences, presents challenges, and summarizes the latest theoretic advancements to address those challenges. The book is divided into four parts. The first part deals with the fundamentals of integrated system and market operations, including market power mitigation, market efficiency evaluation, and the implications of operation practices in energy markets. The second part discusses developing technologies to strengthen the use of the grid in energy markets. System volatility and economic impact introduced by the intermittency of wind and solar generation are also addressed. The third part focuses on stochastic applications, exploring new approaches of handling uncertainty in Security Constrained Unit Commitment (SCUC) as well as the reserves needed for power system operation. The fourth part provides ongoing efforts of utilizing transmission facilities to improve market efficiency, via transmission topology control, transmission switching, transmission outage scheduling, and advanced transmission technologies. Besides the state-of-the-art review and discussion on the domain of balancing economic efficiency and operation risk mitigation, this book:
- Describes a new approach for mass market demand response management, and introduces new criteria to improve system performance with large scale variable generation additions
- Reviews mathematic models and solution methods of SCUC to help address challenges posed by increased operational uncertainties with high-penetration of renewable resources
- Presents a planning framework to account for the value of operational flexibility in transmission planning and to provide market mechanism for risk sharing
Power Grid Operations in a Market Environment: Economic Efficiency and Risk Mitigation is a timely reference for power engineers and researchers, electricity market traders and analysts, and market designers.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
FOREWORD ix
PREFACE xi
ACKNOWLEDGMENT xiii
CONTRIBUTORS xv
PART I INTEGRATED SYSTEM AND MARKET OPERATION
CHAPTER 1 BALANCE ECONOMIC EFFICIENCY AND OPERATION RISK MITIGATION 3
Hong Chen and Jianwei Liu
1.1 Power System Operation Risk Mitigation: The Physics 4
1.2 Integrated System and Market Operation: The Basics 11
1.3 Economic Efficiency Evaluation and Improvement: The Economics 20
1.4 Final Remarks 35
Appendix 1.A Nomenclature 36
Appendix 1.B Electricity Market Model 37
References 39
Disclaimer 41
CHAPTER 2 MITIGATE MARKET POWER TO IMPROVE MARKET EFFICIENCY 4
Ross Baldick
2.1 Introduction 43
2.2 Price Formation in Electricity Markets 50
2.3 Price and Offer Caps 52
2.4 Ability and Incentive to Exercise Market Power 53
2.5 Market Power Mitigation Approaches 57
2.6 Conclusion 65
Acknowledgments 65
References 65
PART II UNDER SMART GRID ERA
CHAPTER 3 MASS MARKET DEMAND RESPONSE MANAGEMENT FOR THE SMART GRID 69
Alex D. Papalexopoulos
3.1 Overview 69
3.2 Introduction 72
3.3 Distributed Computing-Based Demand Response Management Approach 74
3.4 The ColorPower Architecture and Control Algorithms 75
3.5 Integration with the Wholesale Energy Market 80
3.6 Equalizing Market Power Between Supply and Demand 83
3.7 Generalization Beyond Demand Response 84
3.8 A Numerical Example 87
3.9 Concluding Remarks 88
Appendix 3.A Nomenclature 89
References 89
CHAPTER 4 IMPROVE SYSTEM PERFORMANCE WITH LARGE-SCALE VARIABLE GENERATION ADDITION 91
Yuri V. Makarov, Pavel V. Etingov, and Pengwei Du
4.1 Review of Regulation and Ancillary Services 92
4.2 Day-Ahead Regulation Forecast at CAISO 93
4.3 Ramping and Uncertainties Evaluation at CAISO 99
4.4 Quantifying the Regulation Service Requirements at ERCOT 103
4.5 Conclusions 111
Appendix 4.A Nomenclature 112
References 113
PART III STOCHASTIC APPLICATIONS
CHAPTER 5 SECURITY-CONSTRAINED UNIT COMMITMENT WITH UNCERTAINTIES 117
Lei Wu and Mohammad Shahidehpour
5.1 Introduction 118
5.2 SCUC 119
5.3 Uncertainties in Emerging Power Systems 125
5.4 Managing the Resource Uncertainty in SCUC 134
5.5 Illustrative Results 155
5.6 Conclusions 163
Appendix 5.A Nomenclature 164
Acknowledgments 166
References 166
CHAPTER 6 DAY-AHEAD SCHEDULING: RESERVE DETERMINATION AND VALUATION 16
Ruiwei Jiang, Antonio J. Conejo, and Jianhui Wang
6.1 The Need of Reserves for Power System Operation 169
6.2 Reserve Determination via Stochastic Programming 170
6.3 Reserve Determination via Adaptive Robust Optimization 179
6.4 Stochastic Programming vs. Adaptive Robust Optimization 182
6.5 Reserve Valuation 185
6.6 Summary, Concluding Remarks, and Research Needs 191
Appendix 6.A Nomenclature 192
References 193
PART IV HARNESS TRANSMISSION FLEXIBILITY
CHAPTER 7 IMPROVED MARKET EFFICIENCY VIA TRANSMISSION SWITCHING AND OUTAGE EVALUATION IN SYSTEM OPERATIONS 197
Kwok W. Cheung and Jun Wu
7.1 Background 197
7.2 Basic Dispatch Model for Market Clearing 198
7.3 Economic Evaluation of Transmission Outage 201
7.4 Optimal Transmission Switching 203
7.5 Selection of Candidate Transmission Lines for Switching and Implementation of OTS 206
7.6 Test Cases 210
7.7 Final Remarks 216
Appendix 7.A Nomenclature 216
References 217
CHAPTER 8 TOWARD VALUING FLEXIBILITY IN TRANSMISSION PLANNING 219
Chin Yen Tee and Marija D. Ilíc
8.1 Introduction 219
8.2 Scale Economies of Transmission Technologies 221
8.3 Disconnect of Current Power System Operational, Planning, and Market Mechanisms 225
8.4 Impact of Operational and Market Practices on Investment Planning 225
8.5 Information and Risk Sharing in the Face of Uncertainties 230
8.6 Challenges in Designing Financial Rights for Flexibility 234
8.7 Conclusions 235
Appendix 8.A Nomenclature 236
Appendix 8.B Mathematical Models Used for Case Studies 238
Appendix 8.C Investment Cost 247
References 248
INDEX 251