A DISTRIBUTED GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION
Pan Zhelong', Zhang Borning', Sun Hongbin', Cheng Liang'(1. Tsinghua University, Beijing 100084, China)(2. Nantong Electrical Power Bureau, Nantong 226006, China)
This paper presents a distributed genetic algorithm (GA) to solve optimal reactive power flow (OPF) problems inpower systems. A master-slave plan is adopted to process the parallel computation with several computers in a local areanetwork (LAN). In this plan, a 11 mastern controls genetic operations and balances the loads of n slaves" which solve theadaptability function simultaneously. Some aspects to improve the parallelism of this algorithm are discussed in detail, such asencoding methods, the solution of the adaptability function of multi--objectives, and genetic operations. Moreover. someproblems on parallel efficiency are analyzed. Based on the analysis of the numerical example, it can be concluded that thismethod achieves satisfactory optimization results as well as high computation speed.
【CateGory Index】： TM761