Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique

The intermittent resources which cause fluctuations in the power generated by photovoltaic (PV) and wind turbine (WT) system made the optimal design for these resources essential, especially for an autonomous system. Therefore, this paper aims to obtain the best combination size between the hybrid PV-WT-battery system that yields minimum cost and maximum reliability. In addition to that, the minimization of unutilized surplus power is also being considered as one of the design objectives. An Iterative-Pareto-Fuzzy (IPF) technique is used to obtain the best compromised solution between all the design objectives. Results show that the inclusion of unutilized surplus power criteria gave different set of Pareto points to the system and provided a different result for the best compromised solution. The total cost of the hybrid system is lower when the minimization of unutilized surplus power criteria is taken into account in the analysis.