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作 者:张欣 裴立耕 王永庆 张昭[3] 张靠社[3] 张刚[3] ZHANG Xin;PEI Ligeng;WANG Yongqing;ZHANG Zhao;ZHANG Kaoshe;ZHANG Gang(State Grid Shaanxi Power Exchange Center,Xi’an 710048,Shaanxi,China;Shaanxi Electric Research Institute,State Grid Shaanxi Electric Power Company,Xi’an 710100,Shaanxi,China;Xi’an University of Technology,Xi’an 710048,Shaanxi,China)
机构地区:[1]陕西电力交易中心有限公司,陕西西安710048 [2]国网陕西省电力公司电力科学研究院,陕西西安710100 [3]西安理工大学,陕西西安710048
出 处:《电网与清洁能源》2020年第3期34-41,共8页Power System and Clean Energy
基 金:国家自然科学基金项目(51507141)。
摘 要:为了降低风电和光伏接入配电系统的有功网损以及提高开关利用率,首先建立相应的数学模型,该数学模型建立的基础是要满足两个条件目标,即网损最少和开关次数最少,并设置风电光伏接入配电网潮流计算的约束条件;然后在二进制的灰狼算法基础上设置外部存储空间,并修改收敛因子构建多目标优化算法,为了满足Pareto解集多样性和均匀分布方面的要求,求解过程中运用了拥挤距离测度和逐步淘汰方法;最后利用105节点配电系统进行仿真计算。结果表明:二进制灰狼算法具有较快的收敛速度;多目标灰狼算法可同时降低网损和开关动作次数,求出的7种方案皆可有效降低电网的经济运行成本。该研究结果具有实际应用价值,能为决策者提供多种重构方案。In order to reduce the active power loss of wind power and photovoltaic power connected to the distribution system and improve the utilization ratio of switches,firstly,a mathematical model aiming at the minimum active power loss and switching operation times is established,and the constraints of flow calculation of the distribution network connected with wind power and photovoltaic power are set up.And on the basis of the binary grey wolf algorithm,the external storage space is set up and then the convergence factor is modified to construct the multi-objective optimization algorithm,and the congestion distance measurement and phase-out strategy are used in the process of solving to make the Pareto solution set satisfy the requirements of diversity and uniform distribution.Finally,the 105-bus distribution system is used for the simulation calculation,whose results show that the binary Grey Wolf algorithm has faster convergence speed,while the multiobjective Grey Wolf algorithm helps reduce both network loss and switching action times,and all the seven schemes thus obtained can effectively reduce the operation cost of the power grid.The results of this study are of application value and can provide various reconstruction schemes for decision makers.
分 类 号:TM744[电气工程—电力系统及自动化]
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