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電力系統靈活性--建模優化與機制設計(英文版)

  • 作者:周明//武昭原//李庚銀
  • 出版社:科學
  • ISBN:9787030754493
  • 出版日期:2023/06/01
  • 裝幀:平裝
  • 頁數:271
人民幣:RMB 258 元      售價:
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內容大鋼
    高比例新能源接入的未來電力系統中,風電和太陽能將成為電力供應的重要支柱,其風、光資源的隨機性和波動性,導致電力系統本征特性改變,對電力系統靈活性提出了更高的要素。高比例新能源電力系統中,波動電源和負荷不確定性雙重疊加,採用增加備用應對不確定性的模式在技術和經濟上均難以為繼,需要針對電力系統靈活性探索新的解決方式。為此,本書首次全面探索電力系統靈活性的建模方法、優化運行理論和相應的市場機制設計,旨在為構建含高比例新能源的未來靈活電力系統提供技術解決方案和理論支揮,期待本書能夠為電氣工程領域的讀者帶來有益的啟發。

作者介紹
周明//武昭原//李庚銀

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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