A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system

Computer circuits; Controllers; Distributed power generation; Electric power transmission networks; Fuel cells; Fuzzy logic; Genetic algorithms; Hybrid systems; Linear programming; Power control; Power management; Solar energy; Solar power generation; Solar radiation; Solid oxide fuel cells (SOFC);...

Full description

Saved in:
Bibliographic Details
Main Authors: Sukumar S., Marsadek M., Ramasamy A., Mokhlis H., Mekhilef S.
Other Authors: 57192673539
Format: Article
Published: MDPI AG 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-23062
record_format dspace
spelling my.uniten.dspace-230622023-05-29T14:37:38Z A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system Sukumar S. Marsadek M. Ramasamy A. Mokhlis H. Mekhilef S. 57192673539 26423183000 16023154400 8136874200 57928298500 Computer circuits; Controllers; Distributed power generation; Electric power transmission networks; Fuel cells; Fuzzy logic; Genetic algorithms; Hybrid systems; Linear programming; Power control; Power management; Solar energy; Solar power generation; Solar radiation; Solid oxide fuel cells (SOFC); Control parameters; Fuzzy logic controllers; Maximum power point; Photovoltaic; Photovoltaic systems; Power management systems; Proportional and integral controllers; Sofc hybrid systems; Electric power system control Solar power generation is intermittent in nature. It is nearly impossible for a photovoltaic (PV) system to supply power continuously and consistently to a varying load. Operating a controllable source like a fuel cell in parallel with PV can be a solution to supply power to variable loads. In order to coordinate the power supply from fuel cells and PVs, a power management system needs to be designed for the microgrid system. This paper presents a power management system for a grid-connected PV and solid oxide fuel cell (SOFC), considering variation in the load and solar radiation. The objective of the proposed system is to minimize the power drawn from the grid and operate the SOFC within a specific power range. Since the PV is operated at the maximum power point, the power management involves the control of SOFC active power where a proportional and integral (PI) controller is used. The control parameters of the PI controller Kp (proportional constant) and Ti (integral time constant) are determined by the genetic algorithm (GA) and simplex method. In addition, a fuzzy logic controller is also developed to generate appropriate control parameters for the PI controller. The performance of the controllers is evaluated by minimizing the integral of time multiplied by absolute error (ITAE) criterion. Simulation results showed that the fuzzy-based PI controller outperforms the PI controller tuned by the GA and simplex method in managing the power from the hybrid source effectively under variations of load and solar radiation. � 2017 by the authors. Final 2023-05-29T06:37:38Z 2023-05-29T06:37:38Z 2017 Article 10.3390/en10111720 2-s2.0-85035082622 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035082622&doi=10.3390%2fen10111720&partnerID=40&md5=857d29e500b142e69459c1bf909a0a1a https://irepository.uniten.edu.my/handle/123456789/23062 10 11 1720 All Open Access, Gold, Green MDPI AG Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Computer circuits; Controllers; Distributed power generation; Electric power transmission networks; Fuel cells; Fuzzy logic; Genetic algorithms; Hybrid systems; Linear programming; Power control; Power management; Solar energy; Solar power generation; Solar radiation; Solid oxide fuel cells (SOFC); Control parameters; Fuzzy logic controllers; Maximum power point; Photovoltaic; Photovoltaic systems; Power management systems; Proportional and integral controllers; Sofc hybrid systems; Electric power system control
author2 57192673539
author_facet 57192673539
Sukumar S.
Marsadek M.
Ramasamy A.
Mokhlis H.
Mekhilef S.
format Article
author Sukumar S.
Marsadek M.
Ramasamy A.
Mokhlis H.
Mekhilef S.
spellingShingle Sukumar S.
Marsadek M.
Ramasamy A.
Mokhlis H.
Mekhilef S.
A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
author_sort Sukumar S.
title A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
title_short A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
title_full A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
title_fullStr A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
title_full_unstemmed A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
title_sort fuzzy-based pi controller for power management of a grid-connected pv-sofc hybrid system
publisher MDPI AG
publishDate 2023
_version_ 1806427834787299328
score 13.214268