Evolutionary Programming Based Load Tracing Optimization in Deregulated Power System

摘要

Tracing the flow of electricity becomes an essential part in transmission fixed cost allocation since the existing methods based on transaction are incapable of providing fair and non-discriminatory transmission service pricing. Conventional power tracing based on matrix inversion confronts with the problem of singular matrix possibility as the solution will be indeterminate and undefined. This is because the existence of singular matrix would lead to the failure of matrix inversion process and as a result, the traced powers are unable to be determined. This paper presents a novel technique for allocating the losses and generated powers to all system loads by means of Evolutionary Programming (EP) algorithm. The developed algorithm has been experimented on IEEE 14-bus RTS and the results revealed that EP can also be a sophisticated tool to be applied in power tracing field with tolerable computation time.