Handbook of networks in power systems I

Online-Ressource (ix, 588 p)

Includes bibliographical references and index

Includes index

Handbook of Networks in Power Systems I; Handbook of Networks in Power Systems: Optimization, Modeling, Simulation and Economic Aspects; Contents; Part I: Electricity Network; Models of Strategic Bidding in Electricity Markets Under Network Constraints; 1 Introduction; 2 Electricity as a Commodity; 2.1 Power Systems Operation; 2.2 Specific Features of Electricity; 2.3 Electricity Markets; 2.4 Reference Paradigms of the Electricity Markets; 2.4.1 Pool Markets; 2.4.2 Bilateral Markets; 3 Market Equilibrium and Market Performance; 3.1 Format of the Electricity Supply and Demand

3.2 Market Equilibrium3.3 Levels of Competition in the Markets; 3.4 The Impacts of the Scarcity in the Transfer Capability; 3.5 Metrics for Assessing the Equilibrium and the Level of Competition; 3.5.1 Efficiency and Allocation Indices; 3.5.2 Price and Quantity Indices; 4 Modeling Strategic Bidding Under Network Constraints in Pool Model; 4.1 Electricity Network Model; 4.2 Market Clearing Model Under Network Constraints; 4.3 The Point of View of Each Producer; 4.4 Strategic Interaction Among Producers: Game-Theory Model for Oligopoly; 4.5 Nash Equilibrium and Search Methods

4.5.1 Best Response Functions4.5.2 Iterative Search Algorithm; 4.6 Conceptual Examples; 4.6.1 Test Case1: A Conceptual Application for Duopoly Game; 4.6.2 Test Case 2: IEEE57 Bus System for Multiple player´s Game; 5 Conclusion; Appendix; References; Optimization-Based Bidding in Day-Ahead Electricity Auction Markets: A Review of Models for Power Producers; 1 Introduction; 2 Producer Models; 3 Producer Models with Strategy; 3.1 Non-equilibrium Example; 3.1.1 Market Maker Model (i.e. PX Model); 3.1.2 Producer Strategies; 3.1.3 The Producer Hourly Benefit Model

3.1.4 Minimum Stable Output Bidding Strategy3.1.5 Overall Producer Bidding Model; 3.2 Equilibrium Approaches for Producer Models; 3.2.1 Producer Constraints; 3.2.2 ISO Market Clearing Problem; 4 Producer Models Without Strategy; 4.1 Mixed Integer Linear Programming Model; 4.2 Stochastic Programming Model; 4.2.1 Bid Structure; 4.2.2 Two-stage Stochastic Programming Model; 5 Discussion of Model Features; 6 Conclusion; References; Finding Joint Bidding Strategies for Day-Ahead Electricity and Related Markets; 1 Introduction; 2 Bidding Strategies in Electricity and Related Markets

2.1 Electricity Market2.2 FTR Market; 2.3 Allowance Market; 3 A Two-Tier Game Theoretic Model for Joint Bidding Strategies; 3.1 Joint Bidding Strategies; 3.1.1 Market 1 Game; 3.1.2 Market 2 Game; 3.2 Computation of Payoffs for FTR-Electricity and Allowance-Electricity Games; 4 A Solution Procedure for the Two-Tier Model; 4.1 Reinforcement Learning Algorithm; 5 Applications; 5.1 Example 1: Joint FTR and Electricity Bids; 5.2 Example 2: Joint Allowance and Electricity Bids; 5.3 Example 3: Developing Multi-generator Multi-year Generation Expansion Plans (GEP) Under a Cap-and-Trade Program

6 Conclusions

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