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電力系統靈活性:建模,優化與機制設計(英文版)

包郵 電力系統靈活性:建模,優化與機制設計(英文版)

出版社:科學出版社出版時間:2023-06-01
開本: B5 頁數: 284
本類榜單:工業技術銷量榜
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電力系統靈活性:建模,優化與機制設計(英文版) 版權信息

電力系統靈活性:建模,優化與機制設計(英文版) 本書特色

本著作旨在系統探索電力系統靈活性的建模、優化方法和機制設計理論,為構建含高比例可再生能源的電力系統靈活高效運營提供理論支撐。

電力系統靈活性:建模,優化與機制設計(英文版) 內容簡介

含高比例可再生能源的電力系統,波動性電源出力的隨機性和不確定性對系統安全可靠運行帶來了新挑戰,提出了電力系統靈活性的新需求。本著作旨在系統探索電力系統靈活性的建模、優化方法和機制設計理論,為構建含高比例可再生能源的電力系統靈活高效運營提供理論支撐。本著作首先給出了適用于高比例可再生能源電力系統的靈活性內涵和定義,并根據現有工程經驗和理論研究成果,分析了不同時空尺度下高比例可再生能源的靈活性需求,并從靈活性量化建模方法、靈活性約束下的系統優化運行以及提升運行靈活性的機制設計三方面歸納總結了當前電力系統靈活性研究難點與挑戰。據此,本著作后續章節包括:靈活性資源的建模、數據驅動的大規模靈活性資源等效模型、基于靈活性的優化調度方法、考慮靈活性需求的互聯系統協同優化方法、提升系統靈活性的市場機制設計方法等關鍵基本方法和理論。期待本著作能夠為電氣工程領域的讀者拓寬新能源電力系統的分析理論和方法。

電力系統靈活性:建模,優化與機制設計(英文版) 目錄

1 Introduction 1.1 Why Is Flexibility Necessary for the Power System 1.2 Overview of Power System Flexibility 1.2.1 History and Development 1.2.2 Taxonomy-Power System Flexibility Sources 1.2.3 Power System Flexibility Analysis 1.3 Market Solutions 1.4 Summary References 2 Power System Flexibility Modelling 2.1 Introduction 2.2 Power System Flexibility Resource Classification 2.2.1 Demand Side Flexibility Resources 2.2.2 Power Supply Side Flexibility Resources 2.2.3 Grid Side Flexibility Resources 2.3 Flexible Power Supply Resources: Analysis and Modelling 2.3.1 Technical Characteristics of Flexible Power Supply Resources 2.3.2 Economic Characteristics of Power Supply Resources Flexibility 2.4 Demand Side Flexibility Model 2.4.1 Interruptible Load 2.4.2 Adjustable Load 2.4.3 Shiftable Load 2.5 Power Grid Flexible Regulation Technologies 2.5.1 Voltage Source Converter (VSC) Based Multiple-Terminal DC Transmission 2.5.2 AC Grid Flexible Topology Control 2.6 Conclusions References 3 Flexibility-Based Economic Dispatch 3.1 Introduction 3.2 Quantifying Accommodated Domain of Wind Power for Flexible Look-Ahead Unit Commitment 3.2.1 Formulation of ADWP 3.2.2 Flexible Look-Ahead Unit Commitment Models 3.3 Flexibility Based Day-Ahead Generation-Reserve Bilevel Decision Model 3.3.1 Day-Ahead Unit Commitment Model Considering Flexibility Constraint 3.3.2 Flexibility Based Reserve Decision Method 3.4 An Endogenous Approach to Quantifying the Wind Power Reserve 3.4.1 Dynamic S&NCED Model with AARO 3.4.2 Two-Stage Solution Method Based on the Benders Decomposition 3.5 Case Studies 3.5.1 Case Studies of the Flexible Look-Ahead Unit Commitment 3.5.2 Case Studies of the Day-Ahead Generation-Reserve Bilevel Decision Model 3.5.3 Case Studies of the Endogenous Approach to Quantifying the Wind Power Reserve 3.6 Conclusion References 4 Distributed Dispatch Approach in AC/DC Hybrid Systems 4.1 Introduction 4.2 Distributed Dispatch Approach in Bulk AC/DC Hybrid Systems 4.2.1 Distributed Scheduling Framework for Bulk AC/DC Hybrid Transmission Systems 4.2.2 Improved ATC-Based Distributed SCUC for a Bulk AC/DC Hybrid System 4.2.3 Solution Procedure 4.3 Distributed Dispatch Approach in the VSC-MTDC Meshed AC/DC Hybrid Systems 4.3.1 Hierarchy of VSC-MTDC Meshed AC/DC Grid 4.3.2 Hierarchical and Robust Scheduling Formulation 4.3.3 Solution Methodology 4.4 Case Studies 4.4.1 Distributed Dispatch Approach in Bulk AC/DC Hybrid Systems 4.4.2 Distributed Dispatch Approach in VSC-MTDC Meshed AC/DC Hybrid Systems 4.5 Conclusion References 5 Exploring Operational Flexibility of AC/DC Power Grids 5.1 Introduction 5.2 Improving Flexible Operation of MTDC Hybrid Networks by VSC Power Regulation 5.2.1 Problem Description 5.2.2 Flexible Operation Mechanism and Model 5.2.3 Flexible Operation Improvement Mode for VSC Station 5.3 Exploiting the Operational Flexibility of Wind Integrated Hybrid AC/DC Power Systems 5.3.1 SCED Model with TS for Hybrid AC/DC Grid 5.3.2 Two-Stage RO Based on C&CG 5.4 Case Studies 5.4.1 Verify of Power Margin Tracking Droop Regulation (PMT) Mode 5.4.2 Exploring Operational Flexibility of AC/DC Power Networks Using TS 5.5 Conclusion References 6 Demand Side Flexibility 6.1 Introduction 6.2 Residential Load Demand Response Model 6.3 Price-Based Demand Response Model 6.3.1 Energy Management Model of the ITCA 6.3.2 Flexibility of ITCAs 6.3.3 ITCAs' Flexibility Under TOU Power Price 6.3.4 Unit Scheduling Model Considering the Flexibility of ITCAs 6.4 Integrated Energy System Demand Response Model 6.4.1 Typical Topology 6.4.2 Integrated Demand Response Model 6.4.3 Two-Stage Stochastic Chance-Constrained Programming Model 6.5 Case Studies 6.5.1 Residential Load Demand Response 6.5.2 Price-Based Demand Response Model 6.5.3 Integrated Energy System Demand Response 6.6 Conclusion References 7 Large-Scale Distributed Flexible Resources Aggregation 7.1 Introduction 7.2 Large Scale Interruptible and Shiftable Load Aggregation 7.2.1 Equivalent Aggregated Model for Large-Scale Interruptible and Shiftable Loads 7.2.2 Equivalent Model for a Single Group 7.2.3 Scheduling with Equivalent Aggregated Model 7.3 Large Scale EV Aggregation 7.3.1 Market Framework 7.3.2 Aggregate Model of Electric Vehicle Fleets 7.3.3 Model of Optimal Bidding Strategy of Microgrid 7.4 Case Study 7.4.1 Large Scale Interruptible and Shiftable Load Aggregation 7.4.2 Large Scale Distributed Energy Storage Aggregation 7.5 Conclusion References 8 Market Mechanism Design for Enhancing the Flexibility of Power Systems 8.1 Introduction 8.2 The Framework of Balancing Market 8.2.1 The Framework of Balancing Market 8.2.2 Key Design Elements in Imbalance Settlement 8.3 System Model 8.3.1 Balancing Market Clearing Optimization Model Embedded with the Offering Strategy of Wind Power Producers 8.3.2 Offering Strategy of the Wind Power Producer 8.3.3 Objective Function and Constraints 8.3.4 Solution Method 8.3.5 ABM Method 8.3.6 The MCDA Evaluation 8.4 Case Studies 8.4.1 Analysis of Wind Power Supplier's Strategic Offering 8.4.2 Analysis of Strategic Interaction Behavior of Market Players 8.5 Conclusion References
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