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考虑柔性负荷响应的综合能源系统多尺度优化调度研究 被引量:18

Research on Multi-scale Optimal Scheduling of Integrated Energy System Considering Flexible Load Response
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摘要 综合柔性负荷响应是综合能源利用电力和热力需求弹性的重要方法。首先基于热电综合能源系统的背景,引入综合柔性负荷响应,构建了基于柔性负荷响应的综合能源系统优化调度架构。在此基础上,考虑综合柔性负荷响应的多时间尺度特性和响应成本,以综合能源系统运行成本最低为目标,建立了考虑综合柔性负荷响应的多时间尺度优化调度模型。其次,从多时间尺度调度的角度,对综合柔性负荷、热电联产机组和风电进行协调优化,构建了日前-日内调度模型,并使用MILP(混合整数线性规划)方法进行求解。最后,通过算例验证了所提方法能够提升机组运行效率以及降低综合能源系统运行成本。 Integrated flexible load response is an important method for the integrated energy utilization of power and thermal demand elasticity.Firstly,based on the background of the thermoelectric integrated energy system,this paper introduces the integrated flexible load response and constructs an optimized scheduling architecture of the integrated energy system based on the flexible load response.Besides,given the multi-time scale characteristics and response cost of the integrated flexible load response,and for purpose of minimum operating cost of the system,a multi-time scale optimal scheduling model considering the integrated flexible load response is established.Secondly,from the perspective of multi-time scale scheduling,the integrated flexible load,CHP units and wind power are coordinated and optimized and a day-ahead and intraday scheduling model is constructed,and MILP(mixed-integer linear programming)method is used to solve the problem.Finally,an example is given to verify that the proposed method can improve the unit operating efficiency and reduce the operating cost of the integrated energy system.
作者 鞠文韬 崔承刚 杨锦成 奚培锋 JU Wentao;CUI Chenggang;YANG Jincheng;XI Peifeng(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200093,China;ENN Digital Energy Technology Co.,Ltd.,Beijing 100020,China;Shanghai Key Laboratory of Smart Grid Demand Response,Shanghai 200063,China)
出处 《浙江电力》 2020年第12期12-19,共8页 Zhejiang Electric Power
基金 上海市人保局人才专项(2017116) 上海市科委计划项目(18DZ1203502) 上海市科委科研计划项目(19DZ1205700)。
关键词 综合能源系统 综合柔性负荷响应 多时间尺度 优化调度 integrated energy system integrated flexible load response multi-time scale optimal scheduling
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