基于反向思维进化算法的分布式电源选址和定容

摘要

By analyzing the distributed power of the impact of distribution network planning, A new mind evolutionary algorithm based on consideration with is proposed to solve the site and unit size problem of the distributed generation. Firstly, the normalized objective function including investment and operating cost, loss cost and purchase is proposed, then the algorithm is achieved by Matlab. The results obtained show that the global search capabilities can achieve balance and the optimal solution can be found quickly.%以含分布式电源配电网规划为研究对象，提出一种反向思维的进化算法，对配电网规划中分布式电源的选址和定容进行优化。建立了含分布式电源配电网规划模型，利用Matlab仿真工具对所提算法进行了仿真，算例仿真结果表明，本算法全局搜索能力较强，收敛速度较快，可适用于配电网的规划优化。