基于改进遗传算法的配电网状态估计  

State Estimation of Distribution System Based on Modified Genetic Algorithm

作　　者：许琼[1] 代粉蕾[2] 

机构地区：[1]西安科技大学电控学院,陕西西安710054 [2]煤炭科学研究总院西安研究院,陕西西安710054

出　　处：《航空计算技术》2008年第3期107-110,共4页Aeronautical Computing Technique

摘　　要：利用配电网实时量测数据和规格化的负荷历史数据,以各用户的有功功率和无功功率作为基因,在基因编码和适应度函数中充分考虑用户负荷的概率模型和配电网的潮流约束,采用多种基因操作组合求解,通过IEEE典型算例证明该方法可行,计算精度和速度均满足配电网状态估计的要求。Based on real time measurement data and normalized history load data of distribution system, load active and reactive power are used as genes, probability model of user load and load restriction in distribution system are considered in gene coding and fitness function. Seravel gene manipulations are used to get solution combinatorially. The algorithm is proved feasible by IEEE typical examples, calculation precision and velocity could satisfy the demand of state estimation in distribution system.

关 键 词：配电网 状态估计 遗传算法 

分 类 号：TM711[电气工程—电力系统及自动化]