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Two-Stage Optimal Scheduling of Community Integrated Energy System

查看全文 作　　者：Ming [1]Li;Rifucairen [1]Fu;Tuerhong [1]Yaxiaer;Yunping [1]Zheng;Abiao [2]Huang;Ronghui [2]Liu;Shunfu [2]Lin 高影响力作者 机构地区：[1]New Power System Technology Research Institute,The Electric Power Research Institute of State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi,830000,China;[2]The College of Electrical Engineering,Shanghai University of Electric Power,Shanghai,200090,China高影响力机构 出　　处：《Energy Engineering》索引2024年第121卷第2期,共20页高影响力期刊 基　　金：supported in part by the National Natural Science Foundation of China(51977127);Shanghai Municipal Science and Technology Commission(19020500800);“Shuguang Program”(20SG52)Shanghai Education Development Foundation and Shanghai Municipal Education Commission. 摘　　要：From the perspective of a community energy operator,a two-stage optimal scheduling model of a community integrated energy system is proposed by integrating information on controllable loads.The day-ahead scheduling analyzes whether various controllable loads participate in the optimization and investigates the impact of their responses on the operating economy of the community integrated energy system(IES)before and after;the intra-day scheduling proposes a two-stage rolling optimization model based on the day-ahead scheduling scheme,taking into account the fluctuation of wind turbine output and load within a short period of time and according to the different response rates of heat and cooling power,and solves the adjusted output of each controllable device.The simulation results show that the optimal scheduling of controllable loads effectively reduces the comprehensive operating costs of community IES;the two-stage optimal scheduling model can meet the energy demand of customers while effectively and timely suppressing the random fluctuations on both sides of the source and load during the intra-day stage,realizing the economic and smooth operation of IES. 关 键 词：Integrated energy system two-stage optimal scheduling controllable loads rolling optimization
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