Abstract

Hybrid Renewable Energy System is a very good solution to the energy deficit encounter in developing countries. The paper presents the optimal design of a hybrid renewable energy system regarding the technical aspect that is Loss of Power Supply Probability (LPSP), economic aspect that is Cost of Electricity (COE) and Net Present Cost (NPC) and environmental aspect that is Total Greenhouse gases emission (TGE) aspects using a multi-objective Particle Swarm Optimization algorithm for a Community multimedia center in MAKENENE, Cameroon. Optimal configurations including Photovoltaic (PV), Wind, Battery and Diesel generator (DG), separated into Scenarios 1–7 of hybrid energy systems are tested to have the most appropriate Scenario. Scenario 3 (Hybrid system with PV, Battery and DG) with Loss of Power Supply Probability, Cost of Electricity, Net Present Cost and Emission of 0.003%, 0.132 $/kWh, 38,817.7 $ and 2.2 kg/year respectively is found to be the most appropriate for the Community multimedia center.

Highlights

  • In a rapidly changing world, marked by an increase in the population notably in developing countries and the development of digital and communication technologies, the demand for electricity is fast increasing

  • Solar and wind energy have an intermittent nature because they both depend on weather conditions

  • Many scientists have been working on such a system using a Diesel generator as a back-up especially for the case of an off-grid Hybrid Renewable Energy System (HRES); trying to look for an optimal configuration that will at the same time be economical, reliable and environmentally less harmful

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Summary

Introduction

In a rapidly changing world, marked by an increase in the population notably in developing countries and the development of digital and communication technologies, the demand for electricity is fast increasing. The design of a Hybrid Renewable Energy System (HRES) is indispensable. The Hybrid Optimization Model for Electric Renewable (HOMER), developed by the National Renewable Energy Laboratory has proven to be one of the most important among the software [2]. The authors in [3]used it to simulate and achieve an optimal renewable system configuration of Photovoltaic (PV)Wind turbine (WT)-Battery which is reliable and economical. The authors in [4] used it to optimally design a standalone hybrid energy system containing a Biomass generator set, Fuel cell and PV with battery storage system to entirely meet the power demand of an energy center

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