Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria

Abstract

Working toward photovoltaic energy source have attracted the attention of scientists’ recent time due it renewability. However, it come with several challenges especially getting accurate design such accurate photovoltaic size. To increase the efficiency and dependability of an off-grid PV system, precise sizing of the photovoltaic (PV) cell and battery storage parameters is a vital requirement. This project is intended to Gubio Village in northern Nigeria where the model configuration of wind, photovoltaic and diesel stand-alone system is proposed. This project's major objective is to size and manage by figuring out the ideal amount of PV modules, battery sizes, and bank needed for the case study. The proposed systems were put to the test using MATLAB simulations run under ideal test conditions to pinpoint changes in irradiance pattern and other system uncertainties in advance. For PV, Battery, Wind Turbine, and Diesel, the outline of various search ranges defined and their objective function are also described. In this study, GA, PSO, and DE algorithms were contrasted to determine the best size for an off-grid PV, wind turbine, and diesel system taking Gubio Village into consideration. The optimization result shows that PSO offered the best optimal solution in terms of cost and convergence time where it shows lowest LPSP and highest LCOE 0.012, 0.3564 respectively. For the purpose of this project, PSO algorithm is more efficient as compared to DE and GA. PSO algorithm and requires less computational time and memory for implementation as it converges faster. Thus, the project successfully accomplished all it objectives by designing electrical power generation of hybrid pv/wind/diesel battery system for Gubio village of Nigeria Gubio local government, Borno state, Nigeria.