Multi-objective reactive power optimization and multi-attribute decision making considering the risk of voltage collapse

Abstract

In view of the impact on power system brought by voltage collapse, setting the minimum of the network loss and the minimum of the risk of voltage collapse as the objective functions, a multi-objective reactive power optimization model is established. By applying an improved differential evolution (DE) algorithm to this model, the Pareto optimal set is obtained. Then, technique for order preference by similarity to ideal solution (TOPSIS) method based on entropy weight is used to implement a multi-attribute decision making on the decision matrix composed of the Pareto optimal set, and an eclectic solution is selected to provide guidance for decision makers. The effectiveness of the proposed model and algorithm is verified on IEEE RTS79 test system. © 2014 Springer Science+Business Media New York.