Development of an intelligent solution for the optimization of a hybrid system using renewable energy sources

Author:

Yahiaoui Adel1ORCID,Tlemçani Abdelhalim2ORCID,Labbadlia Omar3

Affiliation:

1. Renewable Energy and Materials Laboratory, LERM, Department of Electrical Engineering, University of Medea, Blida, Algeria

2. Research Laboratory in Electrical Engineering and Automatics, Electrical Engineering Department, University of Medea, Algeria

3. Faculty of Technology, Mechanical Engineering Department, University of Medea, Algeria

Abstract

Renewable energy technologies offer the promise of clean and abundant energy harvested from natural resources, self-renewable sources such as sun, wind, water, earth, and plants. In this work, we optimize the hybrid system using Homer power program, where the hybrid system is composed by solar panels, wind turbines with batteries to supply 20 homes that are not equipped with electricity in Ouzera area (Medea, Algeria), and by taking the results presented by the Homer program for Ouzera region, we obtained the cost of each day, of each season and the cost of energy ($/kWh), as well as the optimal number and characteristics for each solar panels and wind turbines with storage batteries. The homer software allows us to obtain real results in taking into account the constraints cost and variations in off-grid weather data. The most important criterion of this technique for optimizing renewable energy systems was the cost, seeking to minimize the expenses, while ensuring optimum quality and continuity of electricity supply.

Publisher

SAGE Publications

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