机电工程技术Issue(12)：93-96,236,5.DOI:10.3969/j.issn.1009-9492.2014.12.022
面向电力行业的生物启发计算的最优潮流优化方法研究
OPF Bio-Inspired Computing for the Power Industry Optimization Method
谢敏敏1
作者信息
- 1. 广东电网公司梅州供电局，广东梅州 514021
- 折叠
摘要
Abstract
OPF problem is for power system operation to strike its node voltage and power distribution, an effective method to assess the stability of the power system, aiming at optimal power flow problem, based on bio-inspired computing methods were designed based on GA, PSO and AI optimization of three bio-inspired technology. Firstly, a needle-based coding method using real number of chromosomes, the genetic algorithm into OPF problem, the first of IEEE14 bus system analysis, the results indicate that the model proposed algorithm can quickly converge to the global or approximate Global Solutions, in addition, operating results and Matpower classic model of this algorithm to compare, can achieve better optimization results. Secondly, this paper has designed an optimal power flow calculation based on particle swarm optimization based on optimal power flow optimization and artificial immune computing, then analyzes the pros and cons of the three algorithms to get a conclusion.关键词
最优潮流优化/GA/PSO/AIKey words
OPF problem/GA/PSO/AI分类
信息技术与安全科学引用本文复制引用
谢敏敏..面向电力行业的生物启发计算的最优潮流优化方法研究[J].机电工程技术,2014,(12):93-96,236,5.
