New Computing Method for Techno-Economic Analysis of the Photovoltaic Water Pumping System Using Fuzzy based NSGAII Optimization Approach

This paper presents an optimization of photovoltaic water pumping system (PWPS) considering the reliability criteria and economic aspects. In this way loss of load probability (LLP) as reliability criteria and life cycle cost (LCC) as economic criteria are used to simulate the performance of the PWPS. The sizing of a photovoltaic pumping system means the sizing of the photovoltaic module numbers and water tank storage capacity in terms of storage days. In the proposed algorithm, an external archive of non-dominated solution is kept which is updated during iteration. In addition, for preserving the diversity in the archive of Pareto solutions, the crowding distance operator is used. This attribute gives more flexibility to the planner for choosing the best final scheme among the obtained solutions. Of course in order to decision making, a fuzzy based NSGAII method is applied in this paper to select the favored solution among non-dominated solutions.