Adaptive controllers for enhancement of stand-alone hybrid system performance

This paper presents a stand-alone hybrid renewable energy system (SHRES) consisting of solar photovoltaic (PV), wind turbine (WT) and battery energy storage (BES) in an effort reduce the dependence on fossil fuels. The renewable energy sources have individual inverters and the PV inverter of the SHR...

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Main Authors: Kean Y.W., Ramasamy A.K., Sukumar S., Marsadek M.
Other Authors: 57004777900
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-237172023-05-29T14:51:12Z Adaptive controllers for enhancement of stand-alone hybrid system performance Kean Y.W. Ramasamy A.K. Sukumar S. Marsadek M. 57004777900 16023154400 57192673539 26423183000 This paper presents a stand-alone hybrid renewable energy system (SHRES) consisting of solar photovoltaic (PV), wind turbine (WT) and battery energy storage (BES) in an effort reduce the dependence on fossil fuels. The renewable energy sources have individual inverters and the PV inverter of the SHRES is operated using active and reactive power control. The PV inverter have two main control structures which are active power control and reactive power control and each contain a proportional integral (PI) controller. Accurate control of the PV inverter�s active power is essential for PV curtailment applications. Thus, this paper aims to enhance the performance of the SHRES in this work by optimizing the performance of the PV inverter�s active power PI controller parameters through the design of adaptive controllers. Therefore, an adaptive controller and an optimized adaptive controller are proposed in this paper. The performances of the proposed controllers are evaluated by minimizing the objective function which is the integral of the time weighted absolute error (ITAE) criterion and this performance is then compared with a controller that is tuned by the traditional trial and error method. Simulation results showed that the optimized adaptive controller is better as it recorded an error improvement of 42.59%. The dynamic optimized adaptive controller is more adept at handling the fast changes of the SHRES operation. � 2018 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:51:12Z 2023-05-29T06:51:12Z 2018 Article 10.11591/ijpeds.v9.i3.pp979-986 2-s2.0-85053074637 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053074637&doi=10.11591%2fijpeds.v9.i3.pp979-986&partnerID=40&md5=6b8522db9130a9e406ea00a9489edd71 https://irepository.uniten.edu.my/handle/123456789/23717 9 3 979 986 All Open Access, Hybrid Gold Institute of Advanced Engineering and Science Scopus
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description This paper presents a stand-alone hybrid renewable energy system (SHRES) consisting of solar photovoltaic (PV), wind turbine (WT) and battery energy storage (BES) in an effort reduce the dependence on fossil fuels. The renewable energy sources have individual inverters and the PV inverter of the SHRES is operated using active and reactive power control. The PV inverter have two main control structures which are active power control and reactive power control and each contain a proportional integral (PI) controller. Accurate control of the PV inverter�s active power is essential for PV curtailment applications. Thus, this paper aims to enhance the performance of the SHRES in this work by optimizing the performance of the PV inverter�s active power PI controller parameters through the design of adaptive controllers. Therefore, an adaptive controller and an optimized adaptive controller are proposed in this paper. The performances of the proposed controllers are evaluated by minimizing the objective function which is the integral of the time weighted absolute error (ITAE) criterion and this performance is then compared with a controller that is tuned by the traditional trial and error method. Simulation results showed that the optimized adaptive controller is better as it recorded an error improvement of 42.59%. The dynamic optimized adaptive controller is more adept at handling the fast changes of the SHRES operation. � 2018 Institute of Advanced Engineering and Science. All rights reserved.
author2 57004777900
author_facet 57004777900
Kean Y.W.
Ramasamy A.K.
Sukumar S.
Marsadek M.
format Article
author Kean Y.W.
Ramasamy A.K.
Sukumar S.
Marsadek M.
spellingShingle Kean Y.W.
Ramasamy A.K.
Sukumar S.
Marsadek M.
Adaptive controllers for enhancement of stand-alone hybrid system performance
author_sort Kean Y.W.
title Adaptive controllers for enhancement of stand-alone hybrid system performance
title_short Adaptive controllers for enhancement of stand-alone hybrid system performance
title_full Adaptive controllers for enhancement of stand-alone hybrid system performance
title_fullStr Adaptive controllers for enhancement of stand-alone hybrid system performance
title_full_unstemmed Adaptive controllers for enhancement of stand-alone hybrid system performance
title_sort adaptive controllers for enhancement of stand-alone hybrid system performance
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806424347912437760
score 13.214268