Research on Multi-objective Grid Fault Recovery Assistant Decision Based on Krill Herd Algorithm

Abstract

After the fault of power grid, the dispatchers need to work out the most efficient recovery strategy in order to restore the smooth running of the grid in time through the comparison of relevant parameters. Moreover, the parameters involved in this paper are the ability of restoring loads, load importance, and the cost of switch operations, then, through the decision-making process of evaluating and comparing these parameters, the decision problem of the way to restore the grid fault is essentially transformed into a multi-objective optimization problem. And this paper introduces krill herd algorithm (KHA) related to the primary and secondary searching choices of herds for the targeted problem, meanwhile, taking every target parameter into full consideration, thus offers valuable suggestions to the dispatchers to eventually solve the problem. The feasibility of the method is verified by the analysis of IEEE39 nodes in this paper.