Foreword |
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ix | |
Preface |
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xi | |
Acknowledgment |
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xiii | |
Contributors |
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xv | |
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PART I INTEGRATED SYSTEM AND MARKET OPERATION |
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Chapter 1 Balance Economic Efficiency and Operation Risk Mitigation |
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3 | (40) |
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1.1 Power System Operation Risk Mitigation: The Physics |
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4 | (7) |
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1.2 Integrated System and Market Operation: The Basics |
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11 | (9) |
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1.3 Economic Efficiency Evaluation and Improvement: The Economics |
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20 | (15) |
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35 | (8) |
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Appendix 1.A Nomenclature |
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36 | (1) |
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Appendix 1.B Electricity Market Model |
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37 | (2) |
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39 | (2) |
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41 | (2) |
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Chapter 2 Mitigate Market Power to Improve Market Efficiency |
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43 | (26) |
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43 | (7) |
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2.2 Price Formation in Electricity Markets |
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50 | (2) |
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52 | (1) |
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2.4 Ability and Incentive to Exercise Market Power |
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53 | (4) |
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2.5 Market Power Mitigation Approaches |
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57 | (8) |
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65 | (4) |
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65 | (1) |
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65 | (4) |
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PART II UNDER SMART GRID ERA |
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Chapter 3 Mass Market Demand Response Management for the Smart Grid |
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69 | (22) |
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69 | (3) |
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72 | (2) |
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3.3 Distributed Computing-Based Demand Response Management Approach |
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74 | (1) |
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3.4 The ColorPower Architecture and Control Algorithms |
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75 | (5) |
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3.5 Integration with the Wholesale Energy Market |
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80 | (3) |
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3.6 Equalizing Market Power Between Supply and Demand |
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83 | (1) |
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3.7 Generalization Beyond Demand Response |
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84 | (3) |
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87 | (1) |
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88 | (3) |
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Appendix 3.A Nomenclature |
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89 | (1) |
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89 | (2) |
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Chapter 4 Improve System Performance With Large-Scale Variable Generation Addition |
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91 | (26) |
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4.1 Review of Regulation and Ancillary Services |
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92 | (1) |
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4.2 Day-Ahead Regulation Forecast at CAISO |
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93 | (6) |
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4.3 Ramping and Uncertainties Evaluation at CAISO |
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99 | (4) |
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4.4 Quantifying the Regulation Service Requirements at ERCOT |
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103 | (8) |
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111 | (6) |
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Appendix 4.A Nomenclature |
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112 | (1) |
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113 | (4) |
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PART III STOCHASTIC APPLICATIONS |
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Chapter 5 Security-Constrained Unit Commitment With Uncertainties |
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117 | (52) |
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118 | (1) |
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119 | (6) |
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5.3 Uncertainties in Emerging Power Systems |
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125 | (9) |
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5.4 Managing the Resource Uncertainty in SCUC |
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134 | (21) |
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155 | (8) |
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163 | (6) |
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Appendix 5.A Nomenclature |
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164 | (2) |
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166 | (1) |
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166 | (3) |
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Chapter 6 Day-Ahead Scheduling: Reserve Determination And Valuation |
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169 | (28) |
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6.1 The Need of Reserves for Power System Operation |
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169 | (1) |
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6.2 Reserve Determination via Stochastic Programming |
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170 | (9) |
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6.3 Reserve Determination via Adaptive Robust Optimization |
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179 | (3) |
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6.4 Stochastic Programming vs. Adaptive Robust Optimization |
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182 | (3) |
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185 | (6) |
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6.6 Summary, Concluding Remarks, and Research Needs |
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191 | (6) |
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Appendix 6.A Nomenclature |
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192 | (1) |
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193 | (4) |
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PART IV HARNESS TRANSMISSION FLEXIBILITY |
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Chapter 7 Improved Market Efficiency Via Transmission Switching And Outage Evaluation In System Operations |
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197 | (22) |
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197 | (1) |
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7.2 Basic Dispatch Model for Market Clearing |
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198 | (3) |
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7.3 Economic Evaluation of Transmission Outage |
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201 | (2) |
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7.4 Optimal Transmission Switching |
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203 | (3) |
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7.5 Selection of Candidate Transmission Lines for Switching and Implementation of OTS |
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206 | (4) |
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210 | (6) |
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216 | (3) |
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Appendix 7.A Nomenclature |
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216 | (1) |
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217 | (2) |
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Chapter 8 Toward Valuing Flexibility In Transmission Planning |
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219 | (32) |
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219 | (2) |
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8.2 Scale Economies of Transmission Technologies |
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221 | (4) |
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8.3 Disconnect of Current Power System Operational, Planning, and Market Mechanisms |
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225 | (1) |
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8.4 Impact of Operational and Market Practices on Investment Planning |
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225 | (5) |
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8.5 Information and Risk Sharing in the Face of Uncertainties |
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230 | (4) |
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8.6 Challenges in Designing Financial Rights for Flexibility |
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234 | (1) |
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235 | (16) |
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Appendix 8.A Nomenclature |
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236 | (2) |
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Appendix 8.B Mathematical Models Used for Case Studies |
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238 | (9) |
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Appendix 8.C Investment Cost |
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247 | (1) |
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248 | (3) |
Index |
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251 | |