基于改进FWA的配电网优化重构方法研究  

Research on Optimal Reconfiguration Method of Distribution Network Based on Improved FWA

作　　者：阎馨[1] 全洪燕 屠乃威[1] YAN Xin;QUAN Hongyan;TU Naiwei(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105

出　　处：《控制工程》2024年第5期833-841,共9页Control Engineering of China

基　　金：国家自然科学基金资助项目(61601212,71771111);辽宁省教育厅辽宁省高等学校基本科研项目(LJ2017QL012);辽宁工程技术大学博士启动基金项目(14-1102)。

摘　　要：针对配电网重构问题,以降低网络损耗、提高节点电压为目标,建立了配电网重构模型,提出了一种解决配电网重构问题的改进烟花算法(firework algorithm,FWA)。算法使用环路编码压缩解空间,提高求解效率。基于核心烟花给出了火花爆炸幅度的计算方法,采用高斯和均匀分布均值混合的变异方式以及精英选择策略,提高解的多样性、搜索效率和收敛速度。为了验证所提算法的适用性和正确性,在IEEE33和IEEE69节点系统上进行了算法测试,结果表明,重构后的网络损耗明显降低,节点电压得到提高,所提算法具有较好的鲁棒性。将所提算法与其他算法进行比较,结果表明,所提算法在降低网络损耗、提高节点电压、求解效率等方面均优于其他算法。For the problem of distribution network reconfiguration,a distribution network reconfiguration model whose objectives is to improve the power loss and node voltages is built,an improved firework algorithm(FWA)to solve the problem of distribution network reconfiguration is proposed.In the proposed algorithm,a loop coding is used to compress the solution space and improve the efficiency of the solution,the calculation method of the spark explosion amplitude is given based on the core fireworks,and the hybrid mutation of Gaussian and uniform distribution averages is used,and an elite selection strategy is applied.The mutation method and strategy improve the diversity of solutions,search efficiency and convergence speed.In order to verify the applicability and correctness of the proposed algorithm,the algorithm is tested on IEEE33 and IEEE69 node systems.The results show that the network loss is significantly reduced,the node voltages are improved,and the robustness of the algorithm is better.Comparing the proposed algorithm with other algorithms,the results show that the proposed algorithm is superior to other algorithms in terms of improving the power loss,improving node voltages and solving efficiency.

关 键 词：配电网重构 改进烟花算法 网络损耗 节点电压 混合变异 

分 类 号：TM727[电气工程—电力系统及自动化] TP206[自动化与计算机技术—检测技术与自动化装置]