IJSTR >> Volume 6 - Issue 8, August 2017 Edition

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AUTHOR(S)

Adebanji B., Adepoju G.A., Oni J.O, Olulope P.K.

KEYWORDS

Energy, Genetic Algorithm, Hybrid, Off-Grid, Optimal, Photovoltaic, Small hydropower, stand-alone, sizing, Sustainable energy.

ABSTRACT

This paper presented an optimal sizing technique for an off-grid hybrid system consisting of Small Hydro (SHP) system, Photovoltaic (PV) modules, Battery (BATT) banks and Diesel Generator (DG). The objective cost function (Annualized Cost System) and the Loss of Power Supply Probability (LPSP) were minimized with application of Genetic Algorithm (GA) in order to reduce the Cost of Energy (COE) generation. GA compared to other convectional optimization methods has the ability to attain global optimum easily. The decision variables are the number of small hydro turbines, NSHP, number of solar panels, NPV, number of battery banks, NBATT and the capacity of DG, PDG. The proposed method was applied to a typical rural village, Itapaji-Ekiti in Nigeria. The monthly average solar irradiance data were converted into hourly solar irradiance data for uniformity. Sensitivity analysis was also performed to identify the most important parameter influencing the optimized hybrid system. The optimal sizing result of the HPS is 954 kW of SHP, 290 kW of PV panels, 9500 sets of (600Ah) battery strings and 350 kW of DG. The optimal Loss of Power Supply Probability (LPSP) is 0.0054 and the Renewable Fraction (RF) is 0.62, which is indeed a significant improvement on the environment and comparatively better than any other combinations in the system.

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