基于萤火虫算法的配电网状态估计研究  

Distribution State Network Estimation Research Based on Glowworm Swarm Optimization

作　　者：张海梁[1] 孙婉胜[2] 

机构地区：[1]国网浙江省电力公司培训中心,浙江杭州310015 [2]国网浙江省电力公司客户服务中心,浙江杭州310009

出　　处：《电器与能效管理技术》2015年第13期24-27,共4页Electrical & Energy Management Technology

摘　　要：针对配电网状态估计方法不完善,最小二乘算法对迭代初值要求较高、容易造成不收敛的缺点,深入研究了具有很好的求取全局极值和搜索多极值能力的萤火虫优化算法。将萤火虫优化算法应用于配电网状态估计,算例分析结果表明该方法能够克服最小二乘法的缺点,具有良好的精确度、适应性,且收敛速度快,能够应用于配电网状态估计。A kind method of distribution network state estimation research based on glowworm swarm optimization was proposed. This method makes full use of good strike global extreme and search capabilities of glowworm swarm optimization algorithms. The node voltage is used as state variables to compute nodes inject complex power and branch current,the weighted least squares method is applied to calculate the value of the fitness function value,the fitness function values is changed to glowworm swarm fluorescent in the end. Constantly updating state variables,the best state estimation results are the position of glowworm swarm with largest fluorescein. The numerical example shows that the method has good accuracy,adaptability and fast convergence. The method can be applied to distribution network state estimation.

关 键 词：萤火虫优化算法 状态估计 配电网 自动化 

分 类 号：TM711[电气工程—电力系统及自动化]