‏735.00 ₪

Energy Storage for Power System Planning and Opera tion

‏735.00 ₪
ISBN13
9781119189084
יצא לאור ב
Hoboken
זמן אספקה
21 ימי עסקים
עמודים
300
פורמט
Hardback
תאריך יציאה לאור
22 במאי 2020
A valuable introduction to large-scale energy storage technologies and applications for power system planning and operation - Introduces systematically different energy storage techniques with deployment potential in power systems - Models various energy storage systems for mathematical formulation and simulations - Features useful techniques for integrating and operating energy storage with renewable energy generation - Analyses how to optimize power systems with energy storage, at both transmission and distribution system levels - Highlights how to optimize planning, siting, and sizing of energy storage for different purposes
מידע נוסף
עמודים 300
פורמט Hardback
ISBN10 111918908X
יצא לאור ב Hoboken
תאריך יציאה לאור 22 במאי 2020
תוכן עניינים Abbreviation List 1 Chapter 1 Introduction 1 1.1 Evolution of power system and demand of energy storage 1 1.2 Energy storage technologies and their applications in power systems 4 1.2.1 Energy storage technologies 4 1.2.2 Technical and economic analysis and comparison of different energy storage technologies 10 1.2.3 Applications of energy storage in power system 14 1.3 Chapter structure 18 1.4 Notes to readers 19 1.4.1 Topics not included in this book 19 1.4.2 Required basic knowledge 20 1.5 Reference 20 Chapter 2 Modeling of Energy Storage System for Power System Operation and Planning 27 2.1 Introduction 27 2.2 Pumped hydroelectric energy storage 27 2.2.1 Operation of pumped hydroelectric storage system 27 2.2.2 Steady-state model of pumped hydroelectric storage system 28 2.3 Battery energy storage system 30 2.3.1 Operation of battery energy storage system 30 2.3.2 Steady-state model of battery energy storage system 31 2.4 Compressed air energy storage system 32 2.4.1 Operation of compressed air energy storage system 32 2.4.2 Steady-state model of compressed air energy storage system 34 2.5 Simplified steady-state model of a generic energy storage system 36 2.5.1 Transformation of pumped hydroelectric storage system model 38 2.5.2 Transformation of compressed air energy storage system model 38 2.5.3 Steady-state model of a generic energy storage system 39 2.6 Conclusions 41 2.7 Reference 42 Chapter 3 Day-ahead Schedule and Bidding for Renewable Energy Generation and Energy Storage Union 43 3.1 Introduction 43 3.2 Basic model for day-ahead schedule of REG-ESS union 44 3.3 Stochastic optimization for day-ahead coordination 45 3.3.1 Scenario-based optimization model 45 3.3.2 Chance-constrained optimization model 46 3.3.3 Case studies on the union of wind farm & pumped-hydro-storage plant 48 3.4 Integrated bidding strategies for REG-ESS union 52 3.4.1 Day-ahead bidding strategy 52 3.4.2 Solution Method 56 3.4.3 Illustrative Example 58 3.5 Conclusion and discussion 60 3.6 Reference 60 Chapter 4 Refined Bidding and Operating Strategy for Renewable Energy Generation and Energy Storage Union 63 4.1 Introduction 63 4.2 Real-time operation with linear decision rules 64 4.3 Optimal offering strategy with linear decision rules 66 4.3.1 Objective function 67 4.3.2 Constraints 69 4.3.3 Complete optimization formulation 71 4.3.4 Test cases 71 4.4 Electricity market time frame and rules with intra-day market 73 4.4.1 Day-ahead Bidding Rules 74 4.4.2 Intraday Bidding Rules 74 4.4.3 Real-time Operation 74 4.5 Rolling optimization framework and mathematical formulations considering intra-day market 75 4.5.1 Data flow among different sections 75 4.5.2 Initial Residue Energy of Different Optimizations 76 4.5.3 Optimization model for each market 76 4.5.4 Handling Wind Power Forecast Error 81 4.5.5 Case studies 82 4.6 Conclusion and discussion 87 4.7 Reference 87 Chapter 5 Unit Commitment with Energy Storage System 90 5.1 Introduction 90 5.2 Energy storage model for SCUC 91 5.3 Deterministic SCUC with energy storage 92 5.3.1 Objective function 92 5.3.2 Constraints 92 5.3.3 Case studies 94 5.4 Stochastic and robust SCUC with energy storage system and wind power 99 5.4.1 Scenario-based stochastic SCUC 99 5.4.2 Robust SCUC 101 5.5 Conclusion and discussion 102 5.6 Reference 103 Chapter 6 Optimal Power Flow with Energy Storage System 104 6.1 Introduction 104 6.2 Optimal power flow formulation with energy storage 105 6.2.1 Multi-period OPF and rolling optimization 105 6.2.2 Energy storage model for OPF problem 106 6.2.3 OPF formulation with energy storage 107 6.3 Interior point method to solve multi-period OPF problem 108 6.3.1 Optimal condition for the interior point method 108 6.3.2 Procedure of primal-dual interior point method to solve the OPF problem 109 6.3.3 Discussion on singularities caused by constraints of energy storage 110 6.4 Semidefinite programming for OPF problem 110 6.4.1 Convex relaxation of the OPF problem 111 6.4.2 Lagrange relaxation and dual problem 112 6.4.3 Optimal solution of OPF problem 114 6.5 Simulation and comparison 114 6.5.1 With single storage system 115 6.5.2 With multiple storage systems 117 6.6 Conclusion and discussion 119 6.7 Reference 120 Chapter 7 Power System Secondary Frequency Control with Fast Response Energy Storage System 7.1 Introduction 121 7.2 Simulation of SFC with the participation of energy storage system 122 7.2.1 Overview of SFC for a single-area system 122 7.2.2 Modeling of CG and ESS as regulation resources 123 7.2.3 Calculation of system frequency excursion 124 7.2.4 Estimation and allocation of regulation power 125 7.3 Capacity requirement for secondary frequency control with energy storage 126 7.3.1 Procedure to quantify regulation capacity requirements 126 7.3.2 Case studies 127 7.4 Control strategies of secondary frequency control with energy storage system 132 7.4.1 CG first power allocation strategy 132 7.4.2 Other two strategies 134 7.4.3 Frequency control performance and cost comparisons 135 7.5 Extending to a multi-area power system 139 7.6 Conclusion and discussion 141 7.7 References 142 Chapter 8 Integration of Large-Scale Energy Storage System into Transmission Network 143 8.1 Introduction 143 8.2 Costs and benefits of investing ESS in transmission network 144 8.3 Transmission expansion planning considering energy storage system and active power loss 145 8.3.1 Objective function and constraints 145 8.3.2 Linearization of line losses 147 8.3.3 Sizing of energy storage systems 148 8.3.4 Complete mathematical formulation 149 8.3.5 Case studies 150 8.4 Transmission expansion planning considering daily operation of ESS 152 8.4.1 Different approaches to consider optimal daily operation 152 8.4.2 Formulation of scenario-based optimization 153 8.5 Conclusion and discussion 156 8.6 Reference 157 Chapter 9 Optimal Planning of Distributed Energy Storage System 159 9.1 Introduction 159 9.2 Benefits from investing DESS 159 9.3 Mathematical model for planning distributed energy storage systems 160 9.3.1 Planning objectives 160 9.3.2 Dealing with load variations and uncertain DG outputs 160 9.3.3 Complete mathematical model with operational and security constraints 161 9.4 Solution methods for the optimal distributed energy storage planning problem 164 9.4.1 Second-order cone programming method 164 9.4.2 Two-stage optimization method 165 9.4.3 Solution algorithm based on generalized Benders decomposition 166 9.5 Distribution network expansion planning with distributed energy storage 168 9.6 Conclusion and discussion 171 9.7 References 172 Index 175
זמן אספקה 21 ימי עסקים