中国电机工程学报2011，Vol.31Issue(25)：90-96,7.
基于进化算法改进拉丁超立方抽样的概率潮流计算
Probabilistic Load Flow Based on Improved Latin Hypercube Sampling With Evolutionary Algorithm
摘要
Abstract
In the simulation method of power system risk assessment using probabilistic load flow calculation, Monte Carlo simulation based on Latin hypercube sampling （LHS） has higher efficiency than simple Monte Carlo simulation. But there are still some problems in controlling correlation in probabilistic load flow. In order to improve the efficiency of LHS to solve the probabilistic load flow, two improvements were made. On one hand, an improved median Latin hypercube sampling method with Evolutionary Algorithm was proposed to control correlation. On the other hand, Latin hypercube important sampling technique was presented to consider the tail of distribution. The experiments about IEEE 30-bus and IEEE l l8-bus systems considering partial correlation were made. The proposed methods can effectively control correlation with good convergence. The results indicate that the proposed methods are effective and reasonable.关键词
电力系统/加速蒙特卡罗模拟/拉丁超立方抽样/进化算法/概率潮流Key words
power system/accelerated Monte Carlo simulation/Latin hypercube sampling （LHS）/evolutionary algorithm （EA）/probabilistic load flow （PLF）分类
信息技术与安全科学引用本文复制引用
李俊芳,张步涵..基于进化算法改进拉丁超立方抽样的概率潮流计算[J].中国电机工程学报,2011,31(25):90-96,7.基金项目
国家重点基础研究发展计划项目（973项目)（2010CB227206)国家电网公司科技项目（SGKJJSKF[20081469). （）
