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基于SA-CS算法的含分布式电源配电网优化重构 被引量:4

Distribution Network Reconfiguration Based on Hybrid Simulated Annealing Cuckoo Algorithm
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摘要 电力行业作为拯救国民经济、社会和人类生活的基础产业,将面临重大改善,而作为电力系统重要组成部分的电网结构调整也应得到优化。针对配电网优化重构问题,以系统有功网络损耗最小、节点电压偏移量最小作为优化目标建立配电网重构目标函数;对于含分布式电源配电网系统,系统环形拓扑结构变得更加复杂,布谷鸟搜索算法容易出现收敛速度慢,容易陷入局部最优,后期收敛精度差的缺点,提出了一种基于混合模拟退火布谷鸟搜索算法的配电网重构算法。通过引入模拟退火操作,提高算法收敛速度与精度。将该算法应该用于配电网重构问题,仿真结果表明相较于传统算法此算法有更快的收敛速度,同时有效降低了配电网络的有功损耗,极大地提高了节点电压幅值;提高了配电网运行的稳定性与供电质量,对配电网安全经济稳定的运行提供了参考。 As a basic industry to save the national economy,society and human life,the electric power industry will face significant improvement,and as an important part of the electric power system,the adjustment of power grid structure should also be optimized.Aiming at the optimal reconfiguration of distribution network,the objective function of distribution network reconfiguration was established with the minimum loss of active network and the minimum offset of node voltage as the optimization objectives.For the distribution network system with distributed generation,the ring topology of the system becomes more complex,and the disadvantages of slow convergence speed,easy to fall into local optimum and poor convergence accuracy in the later stage are easily found when using cuckoo search.A distribution network reconfiguration algorithm was proposed based on hybrid simulated annealing cuckoo search.By introducing simulated annealing operation,the convergence speed and accuracy of the algorithm were improved.This algorithm should be applied to the reconfiguration of distribution network.Simulation results show that this algorithm has a faster convergence rate than the traditional algorithm,and at the same time,it effectively reduces the active power loss of distribution network and greatly increases the voltage amplitude of nodes.It improves the stability of distribution network operation and the quality of power supply,and provides a reference for the safe,economic and stable operation of distribution network.
作者 吴艳敏 程相 刘家旗 WU Yan-min;CHENG Xiang;LIU Jia-qi(College of Building Environment Engineering,Zhengzhou University of Light Industry,Zhengzhou 450000,China)
出处 《科学技术与工程》 北大核心 2023年第2期626-632,共7页 Science Technology and Engineering
基金 河南省重点研发与推广专项(科技攻关)(222102210086)。
关键词 布谷鸟搜索算法 模拟退火 电网结构 配电网重构 Cuckoo search simulated annealing algorithm electric power network composition distribution network reconfiguration
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