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售电公司应对新电改的运营策略对电源容量配置的影响 被引量:5

Impact of electricity sales company operation strategy in response to new electricity reform on power capacity allocation
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摘要 随着新一轮电力市场改革和泛在电力物联网的发展,售电公司根据其拥有的资源不同,逐渐发展成综合能源服务商。在此背景下,针对新电改背景下发电侧电源容量配置问题,建立考虑售电公司运营状况的电源容量配置的双层模型,下层优化对象为包含风机、光伏电池、微燃机和可控负荷的综合能源服务商,上层以发电商电源投资成本最低为优化目标。双层规划模型通过运用非线性规划工具进行求解。算例结果验证该方法的有效性。在该文算例中,售电公司从新能源消纳增长和需求侧响应削减峰荷2个方面对发电商电源容量规划产生影响。 With the new round of power market reform and the development of the ubiquitous power internet of things,power sales companies have gradually developed into integrated energy service providers based on the different resources they have.Aiming at the problem of power capacity allocation on the power generation side under the background of new electricity reform,the paper establishes a two-layer model of power capacity allocation considering the operating status of electricity sales companies.The lower optimization object is an integrated energy service provider including wind turbines,photovoltaic cells,micro-turbines and controllable loads.The upper layer takes the lowest power investment cost of the power generator as the optimization goal.The bi-level programming model is solved by using the nonlinear programming tool.The results of numerical examples verify the effectiveness of the method.In the example,the electricity sales company impact the power supply capacity planning of the power generator from the two aspects of new energy consumption growth and demand-side response reduction in peak load.
作者 刘哲 董真 刘婧 顾玖 解大 LIU Zhe;DONG Zhen;LIU Jing;GU Jiu;XIE Da(Electric Power Science Research Institute,State Grid Shanghai Electric Power Company,Shanghai 200080,China;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处 《电力科学与技术学报》 CAS 北大核心 2021年第4期29-36,共8页 Journal of Electric Power Science And Technology
基金 上海市科技创新行动计划项目(18DZ1203700) 国家电网公司科技项目(SGTYHT/17-JS-199)。
关键词 电源规划 能源服务商 负荷聚合商 售电公司 负荷预测 power planning energy service providers load aggregators power sales companies load forecasting
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