配电网重构方案Hopfield神经网络算法研究  

An algorithm for distribution network reconfiguration based on Hopfield neural network

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作  者:成哲[1] 高炜欣[1] 闫苏莉[1] 武晓朦[1] 

机构地区:[1]西安石油大学电子工程学院,陕西西安710065

出  处:《西安石油大学学报(自然科学版)》2011年第4期90-94,11-12,共5页Journal of Xi’an Shiyou University(Natural Science Edition)

基  金:中国石油科技创新基金项目(编号:2010D-5006-0601)

摘  要:针对配电网辐射状运行的特点,提出了以Hopfield神经网络为基础,以降低网损为目标函数的配电网重构方案算法:首先利用Hopfield神经网络来确定各个节点的入度,然后根据节点入度确定线路是否投入运行,并由此确定各联络开关的状态,最终确定配电网重构方案.给出了神经网络能量函数和求解方法,能量函数同时考虑到了辐射状运行、网损最低和某些线路可能无联络开关的问题.通过对IEEE一三电源电网进行计算,所得结果和遗传算法基本一致,而Hopfield神经网络通过解微分方程组确定最优解的计算时间相对较少.In accordance with the characteristic of radial running,an algorithm for distribution network reconfiguration based on Hopfield neural network is put forward.The in-degree of each node is determined by Hopfield neural network,it is determined whether the lines run according to the in-degree of the nodes,and the state of each loop switch is determined according to whether the lines run,and thus the distribution network reconfiguration scheme is determined finally.The energy function of the neural network and its solution method are presented.In the energy function are considered the radial running of distribution network,the lowest distribution network loss and no loop switch in some lines.The IEEE distribution network structure with three power sources obtained by the algorithm is basically consistent to that obtained by genetic algorithm,but the time spent using the former is shorter than that the latter.

关 键 词:配电网重构 HOPFIELD神经网络 能量函数 

分 类 号:TM727[电气工程—电力系统及自动化]

 

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