基于混合智能算法的无功优化研究

Study of Reactive Power Optimization Based on Hybrid Intelligent Algorithm

为了降低输电网电能损耗,采用混和智能算法(粒子群算法与差异进化算法相结合)作为无功优化算法。该算法对不断变化的个体极值与整体极值进行研究,并且引入第三值分离相似性状,寻找最优补偿点的位置,从而有效补偿电能传输过程中的无功功率。通过IEEE系统例证分析,结果表明混合智能算法性能优于粒子群算法。说明混合智能算法对电能传输过程中所需无功功率有良好的补偿作用,对电网经济安全运行有良好的保障性。

In order to reduce the energy loss in the transmission network,this paper adopts mixed intelligent algorithm（particle swarm algorithm and differential evolution algorithm combining） as a reactive power optimization algorithm.The algorithm of changing individual and overall extremum was studied,and the introduction of third values of separation was similar to characters,to find the optimal compensation point position,thereby effectively compensate the power transmission in the pocess of reactive power.In this paper,take the IEEE system as an example,the results showed that the hybrid intelligent algorithm was better than the particle swarm optimization algorithm.This description showed that the hybrid intelligent algorithm had good compensation on reactive power in the process of the transmission of electrical energy and it could also keep the power system economical and safe.