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文章摘要
计及电热综合需求响应的综合能源系统优化调度
Research on optimal scheduling of integrated energy system considering comprehensive demand side response of electric heating
Received:March 01, 2020  Revised:March 01, 2020
DOI:10.19753/j.issn1001-1390.2002.09.003
中文关键词: 调度信号  群聚合  综合能源系统  电热综合需求响应  优化调度
英文关键词: dispatching signal, group aggregation, integrated energy system, integrated demand response for electricity and heat, optimized scheduling
基金项目:国家自然科学基金项目(51877033)
Author NameAffiliationE-mail
Lin Jiaxing* School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, Jilin, China. 15033528470@163.com 
Sun Liang School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, Jilin, China. sunliang@mail.nedu.edu.cn 
Li Jiawen School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, Jilin, China. Ljw0428@outlook.com 
Chen Lidong Jizhou Power Supply Branch, State Grid Tianjin Electric Power Company, Tianjin 301900, China 13752450406@163.com 
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中文摘要:
      综合能源系统能够提高系统运行的灵活性,提高对大规模风光等可再生能源的消纳。文章针对电热负荷的可调度性提出了一种考虑调度人员参与下的电热综合需求响应模型。对可时移电负荷的群聚合特性进行建模,以调度信号与负荷群聚合特性模型的偏差值最小为目标函数。再根据人体对温度的感知具有模糊性这一特点构建了热负荷调度模型。算例结果表明,考虑调度人员期望信号的综合需求响应提高了新能源的消纳且降低了系统的运行成本,更大程度上减轻了各机组频繁调节出力的压力以及抵偿新能源出力的变动。
英文摘要:
      The integrated energy system can improve the flexibility of system operation and the consumption of renewable energy such as large-scale wind-PV. Aiming at the schedule ability of electric and thermal loads, this paper proposes a comprehensive electric and thermal demand response model considering the participation of dispatchers. Firstly, the group aggregation characteristics of the time-shift electrical load are modeled, and the minimum deviation of the dispatch signal from the load group aggregation characteristics model is used as the objective function. Based on the ambiguity of human body perception to temperature, a heat load scheduling model is constructed. Considering the comprehensive demand response of the expected signal of dispatchers, the results of calculation examples show that it improves the consumption of new energy and reduces the operating cost of the system, which alleviates the pressure of frequent adjustment of the output of each unit and offsets the change of the output of new energy.
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