Application of Genetic Algorithms For Composite Power System Reliability Evaluation

This paper presents a new analytical method based on Genetic Algorithms (GA) for assessing the composite power system annualized reliability indices. In this proposed method, GA intelligently searches the numerous state spaces of a power system to find the most probable states contributing to system failure. A dynamic optimization load flow model is used for evaluation of sampled states. The proposed method is applied to a 6 bus RBTS and 24 bus RTS-96 reliability test system and the obtained result of program is compared with other conventional methods. Eventually the full set of composite system adequacy indices and load bus indices is calculated. The obtained results clearly demonstrate the capability of the proposed technique.