Optimal power dispatch in a multisource system using fuzzy logic control

doi:10.1016/j.egyr.2020.11.004

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Optimal power dispatch in a multisource system using fuzzy logic control

2020-12-01

Kelebogile Confidence Meje

Lindiwe Bokopane

K. Kusakana

Mukwanga W. Siti *

DOI：10.1016/j.egyr.2020.11.004

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Abstract

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The rising of hybrid system controllers, in real-time renewable energy for the optimum energy management system (EMS), required the design of a real-time controller to operate the entire system in real time. The increasing popularity of Renewable Energy (RE) has a control strategy, that determined the overall efficiency of the hybrid system (HS), although the energy management system of these systems is particularly complex to be managed. The paper's main contribution is to investigate the feasible controller and, later, to present an advanced control strategy for managing and controlling the flow of hybrid renewable energy (HRE) with a diesel generator (DG) and battery (BT) as a backup in rural application of South Africa (SA). EMS was implemented using a fuzzy logic controller (FLC) in MATLAB/SIMULINK. This study analysed input and output variables for the design of a controller, with a set of rules and a three-dimension (3D) surface. Simulated results are similar studies conducted between previous years and now, however, they differ in their objectives. A Fuzzy Logic Controller (FLC) was considered as the most suitable option to be used to control the entire system and further demonstrated acceptable performance in managing the power flow between the sources under various loads demands, while at the same time storing excess energy in the battery. This study finally answers the question of the feasibility of the controller in real-time applications. However, further investigation is to be conducted, to establish further results in real time, through the programmed FLC for smooth performance in hardware-in-the-Loop (HIL) test equipment. (C) 2020 Published by Elsevier Ltd.

Keywords:

Fuzzy logic controller

Renewable energy system

Power flow

Energy management system

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