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基于动态组网的园区微电网群运行优化

Operation Optimization for the Industrial Park Microgrid Cluster Based on Dynamic Networking
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摘要 为提升园区微电网群运行经济性、供电可靠性和新能源消纳能力,提出了一种基于动态组网的园区微电网群运行优化方法。首先以运行成本、负荷损失成本和弃光成本最小为目标构建线性化微电网群组网模型,以便利用线性求解方法高效求解;其次考虑到某一时刻多个微电网可能会同时出现功率超额或缺额情况,为确定最优组网方式,提出了一种基于微电网互联约束条件的最优组网方案选择方法;最后采用一个包含3个微电网的园区微电网群系统进行算例测试,结果验证所提方法能够实现微电网间动态连接,提升微电网群运行经济性,减少负荷损失提升系统供电可靠性,提升新能源就地消纳能力。 To enhance the operational economy,power reliability,and renewable energy consumption capacity of a park microgrid cluster,a dynamic network optimization method for the operation of the industrial park microgrid cluster based on dynamic reconfiguration is proposed in this paper.A linearized microgrid cluster network model is constructed with the objectives of minimizing operating cost,load loss cost,and curtailed solar power cost,so that the linear programming method can be used for efficient solution Secondly,considering the possibility of multiple microgrids experiencing power excess or shortage simultaneously,a method based on interconnection constraints of microgrids is proposed to determine the optimal network configuration solution.Finally,a case study is conducted on a park microgrid cluster system consisting of three microgrids to validate the proposed method.The results indicate that the proposed method can achieve dynamic interconnection among microgrids,improve the operational economy of the microgrid cluster,reduce load losses,enhance power reliability,and increase the local consumption capacity of renewable energy.
作者 丁长新 王翔 赵波 戴凤娇 慕小斌 陈哲 DING Changxin;WANG Xiang;ZHAO Bo;DAI Fengjiao;MU Xiaobin;CHEN Zhe(State Key Laboratory of Advanced Power Transmission Technology(State Grid Smart Grid Research Institute Co.,Ltd.),Beijing 102209,China;Electric Power Research Institute of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310014,Zhejiang,China)
出处 《电网与清洁能源》 CSCD 北大核心 2024年第5期1-9,共9页 Power System and Clean Energy
基金 国家电网有限公司科技项目(4000-202219058A-1-1-ZN)。
关键词 微电网群 动态组网 运行优化 新能源消纳 供电可靠性 microgrid cluster dynamic networking operational optimization renewable energy consumption power supply reliability
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