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需求响应机制下含建筑虚拟储能的能源站经济调度
引用本文:葛少云,刘静仪,刘洪,王亦然,赵晨晓,孙威.需求响应机制下含建筑虚拟储能的能源站经济调度[J].电力系统自动化,2020,44(4):35-43.
作者姓名:葛少云  刘静仪  刘洪  王亦然  赵晨晓  孙威
作者单位:1.智能电网教育部重点实验室(天津大学),天津市 300072;2.欣旺达电子股份有限公司,广东省深圳市 518101
基金项目:国家重点研发计划资助项目(2017YFB0903400);国家自然科学基金资助项目(51777133)。
摘    要:针对综合能源站运行调度中未考虑围护结构蓄热特性以及用户需求响应补贴机制等问题,提出了一种考虑用户协同互动的综合能源站调度方法。首先,综合考虑室内外各种扰量对热过程的影响,建立了以室内空气与围护结构为传热主体的精细化建筑虚拟储能模型。其次,构建了冷热电联合供应的典型能源站设备组成结构以及其与外部能源系统、用户的多主体互动交易关系,提出了基于阶梯型补贴的需求响应机制。然后,以考虑外部购能费用、向用户的售能费用与补贴、站内设备启停和损耗成本的能源站运行收益最大为目标,以用户柔性舒适度区间等为约束,构建了能源站日前经济调度模型,并采用了CPLEX求解器求解。最后,通过算例验证了所述模型与方法的实用性和有效性。

关 键 词:建筑虚拟储能  需求响应  综合能源站  优化调度  建筑围护结构
收稿时间:2019/3/3 0:00:00
修稿时间:2019/7/1 0:00:00

Economic Dispatch of Energy Station with Building Virtual Energy Storage in Demand Response Mechanism
GE Shaoyun,LIU Jingyi,LIU Hong,WANG Yiran,ZHAO Chenxiao,SUN Wei.Economic Dispatch of Energy Station with Building Virtual Energy Storage in Demand Response Mechanism[J].Automation of Electric Power Systems,2020,44(4):35-43.
Authors:GE Shaoyun  LIU Jingyi  LIU Hong  WANG Yiran  ZHAO Chenxiao  SUN Wei
Affiliation:1.Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin 300072, China;2.Sunwoda Electronic Solution Co., Ltd., Shenzhen 518101, China
Abstract:A dispatch method with synergy and interaction between integrated energy station and users is put forward to solve the problems that the thermal storage characteristics of building envelopes and subsidy mechanisms of demand response for users are not considered during the operation and dispatch of integrated energy station. Firstly, a elaborate building virtual storage model is established using the indoor air and building envelope as the main parts of heat transfer subject through comprehensive consideration of influences of indoor and outdoor disturbances on thermal process. Secondly, the equipment composition structure of typical energy station with supply of cooling, heating and power systems and a multi-agent interactive transaction relationship among external power companies, integrated energy station and users are established, and a demand response mechanism based on tiered subsidy is proposed. Thirdly, a day-ahead economic dispatch model of energy station is established by taking the maximum operation earnings of energy station as the target, containing external power purchase expenses, incomes through selling power to users, subsidies and start-up/shut-down costs, and the flexible comfort level of users as constraints. The CPLEX solver is adopted to solve the problems. Finally, the practicability and effectiveness of the proposed model and method are verified through examples.
Keywords:building virtual energy storage  demand response  integrated energy station  optimal dispatch  building envelope
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