A simple fuzzy logic based DC link energy management system for hybrid industrial power supply

Ernest Titi Mbende; Fombu Andrew Muluh; Mathieu Jean Pierre Pesdjock; Godpromesse Kenne; Clotaire Thierry Sanjong Dagang; Lionel Leroy Sonfack

Energy Reports (Nov 2023)

A simple fuzzy logic based DC link energy management system for hybrid industrial power supply

Ernest Titi Mbende,
Fombu Andrew Muluh,
Mathieu Jean Pierre Pesdjock,
Godpromesse Kenne,
Clotaire Thierry Sanjong Dagang,
Lionel Leroy Sonfack

Affiliations

Ernest Titi Mbende: Department of Electrical and Power engineering , Research Unit of Automation and Applied Computer Science, IUT-FV Bandjoun, University of Dschang, Bandjoun, P.O. Box 134, West, Cameroun; Department of Physics, Research Unit of Condensed matter, electronics and signal processing, Faculty of Science, University of Dschang, Dschang, P.O. Box 67, West, Cameroun
Fombu Andrew Muluh: Department of Electrical and Power engineering , Research Unit of Automation and Applied Computer Science, IUT-FV Bandjoun, University of Dschang, Bandjoun, P.O. Box 134, West, Cameroun; Department of Electrical and Electronic Engineering, National Higher Polytechnic Institute, University of Bamenda, Bamenda, P.O. Box 39 Bambili, North West, Cameroun
Mathieu Jean Pierre Pesdjock: Department of Electrical and Power engineering , Research Unit of Automation and Applied Computer Science, IUT-FV Bandjoun, University of Dschang, Bandjoun, P.O. Box 134, West, Cameroun; Cameroonian Association for Research and Innovation in Energy, Technology and Environment, Ebolowa, P.O. Box 59 Ebolowa, South, Cameroun; Corresponding author at: Department of Electrical and Power engineering , Research Unit of Automation and Applied Computer Science, IUT-FV Bandjoun, University of Dschang, Bandjoun, P.O. Box 134, West, Cameroun.
Godpromesse Kenne: Department of Electrical and Power engineering , Research Unit of Automation and Applied Computer Science, IUT-FV Bandjoun, University of Dschang, Bandjoun, P.O. Box 134, West, Cameroun
Clotaire Thierry Sanjong Dagang: Department of Electrical and Power engineering , Research Unit of Automation and Applied Computer Science, IUT-FV Bandjoun, University of Dschang, Bandjoun, P.O. Box 134, West, Cameroun
Lionel Leroy Sonfack: Department of Electrical and Power engineering , Research Unit of Automation and Applied Computer Science, IUT-FV Bandjoun, University of Dschang, Bandjoun, P.O. Box 134, West, Cameroun

Journal volume & issue: Vol. 10
pp. 3619 – 3628

Abstract

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Energy price hikes and the pollutant nature of fossil fuels have led energy producers to focus on the development of renewable energies. In the last few decades, the design of hybrid renewable energy systems presented itself as a difficult task because of its interference, uncertainty and especially unpredictable nature. However, scientific progress has enabled several solutions to be found to the problems associated with them. The aim of this article is to provide industries with satisfactory energy that respects the demand and supply balance with excellent energy quality, reduced losses and improved efficiency. To achieve these objectives, an energy management system based on fuzzy logic is proposed and applied to the hybrid photovoltaic hydroelectric system coupled to the DC link through electronic switches. The proposed method is based on the error in the output voltage at the AC link. On the basis of the error and its variations, 81 fuzzy rules are established and offer the advantage that they do not take in to account the mathematical model of the system. In addition, the proposed algorithm is seen at the DC link as a controlled current source which has the advantage of automatically compensating the power deficit required by the loads. Under the strong influence of non-linear loads, and in comparison with the Artificial Ant Colony (ACO) and Proportional Integral (PI) control techniques, simulation results in the Matlab/Simulink environment present satisfactory results for the proposed algorithm in terms of robustness to disturbances, good response and compensation speed, excellent energy balance and quality, with total harmonic distortion values well below the standards. Quantitatively, the proposed algorithm averagely improves the response speed of the system by 12.72%, the root-mean-square error by 31% and the total harmonic distortion by 30% as compared to the other two methods.

Published in Energy Reports

ISSN: 2352-4847 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: http://www.journals.elsevier.com/energy-reports/

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