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文章摘要
考虑热网传输延时及储热的电-热综合能源系统日前优化调度策略
Day-ahead optimal scheduling strategy of electricity-heat integrated energy system considering transmission delay and heat storage of heating network
Received:February 13, 2020  Revised:March 13, 2020
DOI:DOI: 10.19753/j.issn1001-1390.2022.10.002
中文关键词: 电-热综合能源系统  日前调度  传输延时  储热
英文关键词: electricity-heat integrated energy system, day-ahead scheduling, transmission delay, heat storage
基金项目:国家自然科学基金委员会-国家电网公司智能电网联合基金项目(U1866601);吉林省科技发展计划项目(20160101346JC)
Author NameAffiliationE-mail
Huang Yafeng College of Electrical Engineering,Northeast Electric Power University 64303190@qq.com 
Li Dan* College of Electrical Engineering,Northeast Electric Power University 1786720659@qq.com 
Yan Gangui College of Electrical Engineering,Northeast Electric Power University yangg@mail.nedu.edu.cn 
Zhu Yujie State Grid Laiwu Electric Power Company 1052711098@qq.com 
Wu Guangqin College of Electrical Engineering,Northeast Electric Power University 1174295721@qq.com 
He Wei College of Electrical Engineering,Northeast Electric Power University 527629996@qq.com 
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中文摘要:
      综合考虑热网传输延时及储热的优化调度,可显著提高电-热综合能源系统的灵活性,在实现系统经济运行的同时,进一步提高系统的新能源消纳能力。对此,文中提出考虑热网传输延时及储热的电-热综合能源系统日前优化调度策略。文章建立描述热网的传输延时和储热的供热系统模型;结合具体的能源设备,将热网作为调度资源参与到日前优化调度中,提出一种热网传输延时及储热的日前优化调度模型,实现对热网虚拟储能的调度利用;最后对不同场景下含风电的电-热综合能源进行算例分析,验证了文中所提方法的有效性。仿真结果表明,该方法可利用热网传输延时和储热进一步降低系统的运行成本,提高风电的消纳率。
英文摘要:
      Optimal scheduling of transmission delay and heat storage of heating network can significantly improve the flexibility of the electricity-heat integrated energy system, while achieving economic operation of the system, further improving the new energy consumption of system. Therefore, day-ahead optimal scheduling strategy of electricity-heat integrated energy system is proposed considering transmission delay and heat storage of heating network. Firstly, a heat storage system model describing the transmission delay and heat storage of the heating network is established. Then, combining with the specific energy equipment model, the heating network is used as a scheduling resource to participate in the day-ahead optimal scheduling, and a day-ahead optimal scheduling model considering the transmission delay and heat storage of heating network is proposed to realize the scheduling and utilization of the virtual energy storage in the heating network. Finally, a typical example is given to verify the effectiveness of the proposed method. The simulation results show that the proposed method can further reduce the operating cost of the system and improve the consumption rate of wind power by using the transmission delay and heat storage of heating network.
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