Adaptive Genetic Algorithm Applied Research In Power System Harmonic Suppression

When Lots of nonlinear loads are added into power system with the development of power electronic, the problem of harmonic is from bad to worse, not only take down the quality of power, but also threaten safe run of power system. Thus , we should analyse harmonic and take necessary measures.In this paper, I propose solve filter configuration optimization with mathmatic method on the base of harmonic analysis. In the network, because of the variety of structure, load level, harmonic source, we must configure filters according to harmonic level.Filter configuration optimization is a very complicated discrete n onlinear question,we can reduce the search times with Genetic Algorithm , and the result is the best. In the paper, I put the minimum of filter cost as objective function, put harmonic voltage of each node as restriction. Searching for the sites to put filters , the quantity and of parameter fi lter by the way ofgenetic selection, cross and mutation, we can find a blu e print which could insure the harmonic voltage of all nodes in the rest rication of state standard, and cost least.