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Reliability and Economic Evaluation of Autonomous Hybrid Off-Grid Power System (AHOPS)

In this paper a multi-objective optimization model is developed to determine the best size of an autonomous hybrid off-grid power system (AHOPS). The objectives of the present study are to maximize the power supply reliability and minimize the cost of energy (CoE). These objective functions are subjected to the constraints imposed by power generated by the system components and state of charge (SOC) of the battery (BAT) bank. The AHOPS consisting of solar photovoltaic (PV) arrays and diesel generator (DG) as power generation system and a BAT as energy storage is considered in the present study for evaluating optimal sizing strategies of energy source components depending on the power supply reliability and CoE. Based on non-dominated sorting genetic algorithm II (NSGA-II), which has the capability to attain the global optimum with relative computational simplicity, an optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required power supply reliability defined in terms of loss of power supply probability (LPSP) with minimum CoE. The decision variables included in the optimization process are the PV size, DG size and BAT cells. The systematic approach of sizing the power sources through a cost performance analysis ensuring power supply reliability is the feature of the present study.