A CGS-MSM PGA Based on Multi-agent and Its Application in Reactive Power Optimization

Reactive power optimization of power system is a dispersed, many variables, many restraint and non-linearly combination optimization problem, so it is very difficult to find optimum solving in theory. This paper combines Multi-Agent theory with the CGS-MSM PGA together, and make a certain improvement to heredity operate, set up a kind of improvement CGS-MSM PGA based on Multi-Agent, this algorithm is made up of many sub-MSM PGA, which is made up of one manage Agent (master course) and many algorithm(slaver course). This algorithm, by utilizing the good communication and coordination inner the Multi-Agent system, not only utilize the advantages of the original CGS-MSM PGA in full, but also overcome the difficult of original algorithm. And compared with other algorithm, using this CGS-MSM PGA based on Multi-Agent to solve the problem of reactive power optimization of power system has rapid computer speed and high precision, and can obtain the more excellent solve than other algorithm.