Fuzzy approach for evaluating risk of service interruption used as criteria in electricity distribution network planning

Abstract

Electricity distribution network planning is a complex optimization process which requires assessment of various planning criteria. Planning is performed under conditions of system constraints, extreme uncertainty and information imperfection. It is possible, however, to obtain precise output value from imprecise input variables, in a process of fuzzy control. This paper proposes the application of Mamdani type fuzzy inference in modelling the risk of service interruption as one of the criteria used in distribution network planning.