标题:Optimal Operation of Islanded Micro Energy Grid With Multi-type Demand Responses [计及多类型需求响应的孤岛型微能源网经济运行]
作者:Zhang, Feng ;Yang, Zhipeng ;Zhang, Li ;Xu, Zhen
作者机构:[Zhang, Feng ;Zhang, Li ] Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan; Shandong 更多
通讯作者:Zhang, Feng
来源:Dianwang Jishu/Power System Technology
出版年:2020
卷:44
期:2
页码:547-555
DOI:10.13335/j.1000-3673.pst.2019.0751
关键词:Combined cooling, heating and power (CCHP); Demand response; Economic dispatch; Energy hub; Micro energy grid
摘要:Under the background of rapid development of energy internet and increasingly coupling relationship of multiple energies, how to further optimize energy structure to improve economy and stability within islanded micro energy grid is a hot issue of study. Without effective support from main grid, it is difficult to maintain real-time energy balance only by scheduling of internal micro-sources. In view of the operating characteristics of islanded micro energy grid, this paper conducts an analysis from the perspective of cooling, heating and power demand responses. Comprehensively considering the characteristics of energy coupling and conversion, operation characteristics of distributed units and energy storage devices, an optimization model of islanded micro energy grid with multi-type demand responses is proposed based on the framework of energy hub. The model is solved with mixed integer programming method to obtain the start-stop status, optimal output and total operating cost of each unit and energy storage device. Simulation results show that, by introducing the demand responses of cooling, heating and power, flexibility of energy supply for islanded micro energy grid is effectively improved, eventually contributing to reduction of total operating costs. © 2020, Power System Technology Press. All right reserved.
收录类别:EI;SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079610152&doi=10.13335%2fj.1000-3673.pst.2019.0751&partnerID=40&md5=a4f71266acc356daa51434c3a60a771f
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