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考虑条件风险价值的多源协调优化运行策略

钱仲豪 胡骏 沈思辰 秦婷 马晗怡 王小栋 冯曹毅 卫志农

发电技术2023,Vol.44Issue(6):781-789,9.
发电技术2023,Vol.44Issue(6):781-789,9.DOI:10.12096/j.2096-4528.pgt.23039

考虑条件风险价值的多源协调优化运行策略

Multi-Power Coordinated Optimization Operation Strategy Considering Conditional Value at Risk

钱仲豪 1胡骏 1沈思辰 2秦婷 1马晗怡 1王小栋 1冯曹毅 1卫志农2

作者信息

  • 1. 国网江苏省电力有限公司南通供电分公司,江苏省 南通市 226000
  • 2. 河海大学能源与电气学院,江苏省 南京市 211100
  • 折叠

摘要

Abstract

In order to achieve carbon peaking and carbon neutrality goals,the power system presents the trend of extensive access of multiple power sources.A multi-power coordination bi-level optimal operation model was proposed.In the upper level model,photovoltaic,gas turbine,energy storage and other power sources were aggregated into the virtual power plant,and the overall dispatching cost of virtual power plant was minimized through optimization.In addition,the conditional value at risk theory was adopted to measure the risks in view of the uncertainty of photovoltaic output.The lower level model was the system clearing model,which took the minimum total cost of the system as the optimization objective.It can consider the virtual power plant,thermal power units and diesel units to participate in the bidding,and output the actual bidding capacity of the virtual power plant back to the upper level,so that the virtual power plant can adjust the power output according to the actual bidding capacity.In order to solve the constructed model,Karush-Kuhn-Tucker(KKT)condition and strong duality theory were used to transform the bi-level model into a single-level model.Finally,an example was given to verify the validity of the model,the results show that the coordinated operation of multiple power sources can effectively reduce the operating cost of the system and improve the consumption rate of renewable energy.

关键词

虚拟电厂/多源优化/双层模型/条件风险价值

Key words

virtual power plant/multi-power optimization/bi-level model/conditional value at risk

分类

能源科技

引用本文复制引用

钱仲豪,胡骏,沈思辰,秦婷,马晗怡,王小栋,冯曹毅,卫志农..考虑条件风险价值的多源协调优化运行策略[J].发电技术,2023,44(6):781-789,9.

基金项目

国家自然科学基金项目(52077060) (52077060)

国网江苏省电力有限公司科技项目(J2022114). Project Supported by National Natural Science Foundation of China(52077060) (J2022114)

Science and Technlogy Program of State Grid Jiangsu Electric Power Co.,LTD.(J2022114). (J2022114)

发电技术

OACSCDCSTPCD

2096-4528

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