Fast Reliability Evaluation Of Composite Power System Fased On ISSP

With the fast development of our society and economy,the power system has the characteristics of diversified components,complicated structures and large-scale systems.The characteristics pose higher requirements on traditional reliability evaluation combined with the large-scale new energies intergration.However,the computation efficency of reliability evaluation used by the traditional methods is low.Under such situation,the promotion and application of the tools used for reliablity evaluation is limited.Thus,how to quickly evaluate the reliability of composite power systems has become an urgent problem to be solved.First of all,the traditional Estimation of Distribution Algorithm(EDA)is improved by means of mutation strategy and truncation treatment which improves the global searching ability and the excellence of overall population.Then the improved EDA is introduced into the intelligent state space pruning(ISSP)and the ISSP based on the improved EDA is proposed which accelerates the convergence of the coefficient of variance during the sampling phase.Secondly,the ISSP based on the improved EDA is applied to the non-sequential Monte Carlo method to improve the efficiency of sampling stage.At the same time,,the intelligent storage and search method based on double across linked list is adopted in the stage of state evaluation in order to speed up the state search and improve the efficiency of state evaluation.And the proposed method is tested in IEEE 33 and the results indicates this method has better accuracy and higher efficiency.Finally,the ISSP based on EDA method is applied to the pseudo-sequential Monte-Carlo method in this paper,that is,a pseudo-sequential reliability evaluation method based on ISSP is proposed.This method is compared with traditional pseudo-sequential and sequential Monte Carlo methods.The results show that the new method can reflect the time-sequential characteristics of components.What’s more,compared to other traditional reliability evaluation methods,this method greatly improves the computational efficiency while ensuring the accuracy of calculation.