Abstract

Algorithms to Model and Optimize a Stand-Alone Photovoltaic-Diesel-Battery System: An Application in Rural Libya

Highlights

  • There is a need for sustainable power sources in remote rural areas, which rely on the national power grid for their power needs

  • This paper introduces a new optimum calculation technique for a stand-alone hybrid photovoltaic-diesel-battery system (PDBS), which meets the energy requirements of a small village in southern Libya

  • To evaluate the performance of the proposed bat algorithm, particle swarm optimization (PSO), and grey wolf optimization (GWO) and make recommendations for better system selfplanning, we check the configurations of various systems to find the best and most efficient hybrid system for 25 years

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Summary

Introduction

There is a need for sustainable power sources in remote rural areas, which rely on the national power grid for their power needs. To make the power flow reliable, hybrid systems are generally equipped with PV arrays and different types of generators [1,2,3]. Hybrid photovoltaic-diesel-battery devices have been suggested for this reason in rural Libya in previous research since they seem appropriate for satisfying the regular energy requirements. Such a hybrid system uses a battery bank for storing excessive power that PV arrays generate to meet the night-time needs. In this system, a diesel generator is added to overcome the unevenness of the generated power [4, 5]. Hybrid systems offer more flexibility, efficiency, and cost-savings

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