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文章摘要
计及源-荷多类型备用的虚拟电厂双层优化运行
Optimized operation of virtual power plant double-layer considering source-multiple standby
Received:December 04, 2022  Revised:December 23, 2022
DOI:10.19753/j.issn1001-1390.2024.11.004
中文关键词: 虚拟电厂  需求响应  共享储能  备用调度
英文关键词: virtual power plant, demand response, shared energy storage, standby scheduling
基金项目:国家自然科学基金资助项目(52007103)
Author NameAffiliationE-mail
Wang Hui College of Electrical and New Energy,China Three Gorges University 1961089932@qq.com 
Chen Pan* College of Electrical and New Energy,China Three Gorges University 1961089932@qq.com 
Li Naihui College of Electrical and New Energy,China Three Gorges University 1961089932@qq.com 
Xiang Kaiduan College of Electrical and New Energy,China Three Gorges University 1961089932@qq.com 
Liang Ling College of Electrical and New Energy,China Three Gorges University 1961089932@qq.com 
Peng Tingting College of Electrical and New Energy,China Three Gorges University 1961089932@qq.com 
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中文摘要:
      需求响应行为和共享储能的运行均会对虚拟电厂能量流动产生影响,在此背景下,为提高虚拟电厂对可再生能源的消纳能力,提出一种计及源-荷多类型备用的虚拟电厂双层优化调度方法。首先对风电的不确定性、需求响应参与能量和备用调度以及共享储能运行模式进行建模;其次建立双层调度模型,上层为考虑风电不确定性的日前能量和备用计划调度模型,下层为考虑风电波动性的日内修正模型。最后通过算例讨论了共享储能和需求响应对虚拟电厂能量和备用调度的影响,验证了模型的正确性和经济性。
英文摘要:
      In order to improve the absorption capacity of renewable energy in virtual power plants, a double-layer optimal scheduling method for virtual power plants considering source-load multiple types of standby is proposed. Firstly, the uncertainty of wind power, demand response, participation in energy and standby scheduling, and shared energy storage operation mode are modeled. Secondly, a double -layer scheduling model is established, the upper layer is a day-ahead energy and standby plan scheduling model considering the uncertainty of wind power, and the lower layer is an intraday correction model considering the volatility of wind power. Finally, the impact of shared energy storage and demand response on the energy and standby scheduling of virtual power plants is discussed through examples, and the correctness and economy of the model are verified.
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