Energy Storage for Power System Planning and Operation.

Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Abbreviation List -- Chapter 1 Introduction -- 1.1 Evolution of Power System and Demand of Energy Storage -- 1.2 Energy Storage Technologies and Their Applications in Power Systems -- 1.2.1 Energy Storage Technologies -- 1.2.2 Technical and Economic Analyses of Different Energy Storage Technologies -- 1.2.3 Applications of Energy Storage in Power Systems -- 1.3 Chapter Structure -- 1.4 Notes to Readers -- 1.4.1 Topics Not Included in This Book -- 1.4.2 Required Basic Knowledge -- References -- Chapter 2 Modeling of Energy Storage Systems for Power System Operation and Planning -- 2.1 Introduction -- 2.2 Pumped Hydroelectric Storage System -- 2.2.1 Operation of a Pumped Hydroelectric Storage System -- 2.2.2 Steady-State Model of a Pumped Hydroelectric Storage System -- 2.3 Battery Energy Storage System -- 2.3.1 Operation of a Battery Energy Storage System -- 2.3.2 Steady-State Model of a Battery Energy Storage System -- 2.4 Compressed Air Energy Storage System -- 2.4.1 Operation of a Compressed Air Energy Storage System -- 2.4.2 Steady-State Model of a Compressed Air Energy Storage System -- 2.5 Simplified Steady-State Model of a Generic Energy Storage System -- 2.5.1 Transformation of a Pumped Hydroelectric Storage System Model -- 2.5.2 Transformation of a Compressed Air Energy Storage System Model -- 2.5.3Steady-State Model of a Generic Energy Storage System -- 2.6 Conclusion -- References -- Chapter 3 Day-Ahead Schedule and Bid for a Renewable Energy Generation and Energy Storage System Union -- 3.1 Introduction -- 3.2 Basic Model for Day-Ahead Schedule of a REG-ESS Union -- 3.3 Stochastic Optimization for Day-Ahead Coordination -- 3.3.1 Scenario-Based Optimization Model -- 3.3.2 Chance-Constrained Optimization Model.

3.3.3 Case Studies on a Union of Wind Farm and Pumped Hydroelectric Storage Plant -- 3.4 Integrated Bidding Strategies for a REG-ESS Union -- 3.4.1 Day-Ahead Bidding Strategy -- 3.4.2 Solution Method -- 3.4.3 Illustrative Example -- 3.5 Conclusion and Discussion -- References -- Chapter 4 Refined Bidding and Operating Strategy for a Renewable Energy Generation and Energy Storage System Union -- 4.1 Introduction -- 4.2 Real-Time Operation with Linear Decision Rules -- 4.3 Optimal Offering Strategy with Linear Decision Rules -- 4.3.1 Objective Function -- 4.3.2 Constraints -- 4.3.3 Complete Optimization Formulation -- 4.3.4 Case Studies -- 4.4 Electricity Market Time Frame and Rules with Intraday Market -- 4.4.1 Day-Ahead Bidding Rules -- 4.4.2 Intraday Bidding Rules -- 4.4.3 Real-Time Operation -- 4.5 Rolling Optimization Framework and Mathematical Formulations Considering Intraday Markets -- 4.5.1 Data Flow among Different Sections -- 4.5.2 Initial Residue Energy of Different Optimizations -- 4.5.3 Optimization Model for Each Market -- 4.5.4 Handling Wind Power Forecast Error -- 4.5.5 Case Studies -- 4.6 Conclusion and Discussion -- References -- Chapter 5 Unit Commitment with Energy Storage System -- 5.1 Introduction -- 5.2 Energy Storage System Model for SCUC -- 5.3 Deterministic SCUC with Energy Storage System -- 5.3.1 Objective Function -- 5.3.2 Constraints -- 5.3.3 Case Studies -- 5.4 Stochastic and Robust SCUC with Energy Storage System and Wind Power -- 5.4.1 Scenario-Based Stochastic SCUC -- 5.4.2 Robust SCUC -- 5.5 Conclusion and Discussion -- References -- Chapter 6 Optimal Power Flow with Energy Storage System -- 6.1 Introduction -- 6.2 Optimal Power Flow Formulation with Energy Storage System -- 6.2.1 Multi-Period OPF and Rolling Optimization -- 6.2.2 Energy Storage Model for the OPF Problem -- 6.2.3 OPF Formulation.

6.3 Interior Point Method to Solve the Multi-Period OPF Problem -- 6.3.1 Optimal Condition for the Interior Point Method -- 6.3.2 Procedure of the Primal-Dual IPM to Solve the OPF Problem -- 6.3.3 Discussion on Singularities Caused by Constraints of Energy Storage System -- 6.4 Semidefinite Programming for the OPF Problem -- 6.4.1 Convex Relaxation of the OPF Problem -- 6.4.2 Lagrange Relaxation and Dual Problem -- 6.4.3 Optimal Solution of the OPF Problem -- 6.5 Simulation and Comparison -- 6.5.1 With a Single Energy Storage System -- 6.5.2 With Multiple Energy Storage Systems -- 6.6 Conclusion and Discussion -- References -- Chapter 7 Power System Secondary Frequency Control with Fast Response Energy Storage System -- 7.1 Introduction -- 7.2 Simulation of SFC with the Participation of Energy Storage System -- 7.2.1 Overview of SFC for a Single-Area System -- 7.2.2 Modeling of CG and ESS as Regulation Resources -- 7.2.3 Calculation of System Frequency Deviation -- 7.2.4 Estimation and Allocation of Regulation Power -- 7.3 Capacity Requirement for Secondary Frequency Control with Energy Storage System -- 7.3.1 Procedure to Quantify Regulation Capacity Requirements -- 7.3.2 Case Studies -- 7.4 Control Strategies of Secondary Frequency Control with Energy Storage System -- 7.4.1 CG First Power Allocation Strategy -- 7.4.2 Two Other Strategies -- 7.4.3 Frequency Control Performance and Cost Comparisons -- 7.5 Extending to Multi-area Power System -- 7.6 Conclusion and Discussion -- References -- Chapter 8 Integration of Large-Scale Energy Storage System into the Transmission Network -- 8.1 Introduction -- 8.2 Costs and Benefits of Investing ESS in a Transmission Network -- 8.3 Transmission Expansion Planning Considering Energy Storage System and Active Power Loss -- 8.3.1 Objective Function and Constraints -- 8.3.2 Linearization of Line Losses.

8.3.3 Sizing of Energy Storage Systems -- 8.3.4 Complete Mathematical Formulation -- 8.3.5 Case Studies -- 8.4 Transmission Expansion Planning Considering Daily Operation of ESS -- 8.4.1 Different Approaches to Consider Optimal Daily Operation -- 8.4.2 Formulation of Scenario-Based Optimization -- 8.5 Conclusion and Discussion -- References -- Chapter 9 Optimal Planning of the Distributed Energy Storage System -- 9.1 Introduction -- 9.2 Benefits from Investing in DESS -- 9.3 Mathematical Model for Planning Distributed Energy Storage Systems -- 9.3.1 Planning Objectives -- 9.3.2 Dealing with Load Variations and Uncertain DG Outputs -- 9.3.3 Complete Mathematical Model with Operational and Security Constraints -- 9.4 Solution Methods for the Optimal Distributed Energy Storage System Planning Problem -- 9.4.1 Second-Order Cone Programming Method -- 9.4.2 Two-Stage Optimization Method -- 9.4.3 Solution Algorithm Based on Generalized Benders Decomposition -- 9.5 Distribution Network Expansion Planning with Distributed Energy Storage System -- 9.6 Conclusion and Discussion -- References -- Index -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.