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计及灵活热负荷的综合能源服务商购电策略
引用本文:武赓,王昊婧,曾博,曾鸣.计及灵活热负荷的综合能源服务商购电策略[J].电力建设,2019,40(1):1-10.
作者姓名:武赓  王昊婧  曾博  曾鸣
作者单位:电力规划设计总院,北京市,100120;国网北京市电力公司北京电力经济技术研究院,北京市,100055;新能源电力系统国家重点实验室(华北电力大学),北京市,102206
基金项目:国家自然科学基金项目(51507061);国家重点研发计划项目(2016YFB0101903)
摘    要:作为未来综合能源系统背景下的能源零售主体,综合能源服务商需要对用户不同类型的需求响应(demand response, DR)资源进行有效调控,从而应对不同类型能源市场的价格波动风险,优化市场购电策略,降低能源购置成本。首先根据未来综合能源服务商的基本运营模式,构建了用户不同类型负荷响应特性模型;其次,针对综合能源服务商在运营过程中面临的主要不确定性因素,以其在不同类型市场中能源购置成本最小为目标,构建了计及DR资源的两阶段随机市场购电决策模型。最后通过算例仿真,验证了随机模型的有效性,分析了灵活供热负荷对综合能源服务商购电策略的影响。

关 键 词:需求响应  综合能源服务商  两阶段随机模型  灵活热负荷

Research on Energy Purchase Strategy of the Multi-energy Service Provider Considering the Flexible Thermal Load
WU Geng,WANG Haojing,ZENG Bo,ZEGN Ming.Research on Energy Purchase Strategy of the Multi-energy Service Provider Considering the Flexible Thermal Load[J].Electric Power Construction,2019,40(1):1-10.
Authors:WU Geng  WANG Haojing  ZENG Bo  ZEGN Ming
Affiliation:1.Electric Power Planning and Engineering Institute, Beijing 100120, China;2.Beijing Electric Power Economic Research Institute, Beijing Electric Power Company, Beijing 100055, China;3. State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
Abstract:As the energy retailer under the background of the multi-energy system, the multi-energy service provider needs to control different types of DR resource efficiently. Sequentially, they can avoid the risk of the price fluctuation and optimize the operation cost. In this paper, according to operation mode of the multi-energy service provider, the response characteristic model of users different types of loads is proposed;Then, considering the uncertainties in the operation of the multi-energy service provider,the two-stage stochastic model of the energy purchase strategy is proposed. Finally, the model is verified by the simulation, the impact of the flexible thermal load on the energy purchase strategy of the multi-energy service provider are analyzed.
Keywords:demand response  multi-energy service provider  two-stage stochastic model  flexible thermal load  
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