Management of the Power Distribution Network Reconstruction Process Using Fuzzy Logic

Abstract

This paper presents a fuzzy system for management of the power distribution network reconstruction process. The proposed system is based on Mamdani type fuzzy inference which is used to model reconstruction criteria. The system considers number of customers, rate of failure and age of distribution lines as input variables and provides output values used as criteria in a decision making process. The decision making process is based on the Bellman-Zadeh method in which decision making is performed by the intersection of fuzzy goals and constraints. In this paper, fuzzy logic is introduced as a system planning tool in order to account for weaknesses and imprecision of the traditional planning methods. The proposed model is presented as a logical decision making framework which can be used to evaluate and rank power distribution network reconstruction projects according to their ability to deliver long term benefits, both to the utility and customers.