NDLI: Fuzzy logic adaptive particle swarm optimisation based MPPT controller for photovoltaic systems

Content Provider	IET Digital Library
Author	Merchaoui, Manel Hamouda, Mahmoud Sakly, Anis Mimouni, Mohamed Faouzi
Abstract	Maximum power point tracking (MPPT) controllers are a key element in photovoltaic (PV) conversion systems since they allow extracting the maximum power from PV generators. Metaheuristic algorithms such as the particle swarm optimisation (PSO) are nowadays widely adopted and have shown their superiority to many other techniques. However, conventional PSO (CPSO) algorithms still suffer from the problem of long convergence time when the range of the search area is large. To overcome this issue, this study proposes a fast fuzzy logic PSO (FL-PSO) based MPPT controller for PV systems. Unlike CPSO algorithm running with constant key parameters (inertia weight and acceleration coefficients), the proposed method includes a fuzzy inference system that dynamically adjusts these parameters. The effectiveness and rapidity of the proposed FL-PSO algorithm is validated trough numerical simulations and experimental tests. The obtained results show the superiority of the proposal as compared to CPSO, Jaya and hill climbing algorithms even under partial shading conditions and abrupt change of solar irradiation.
Starting Page	2933
Ending Page	2945
Page Count	13
ISSN	17521416
Volume Number	14
e-ISSN	17521424
Issue Number	Issue 15, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/14/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.1207
Journal	IET Renewable Power Generation
Publisher Date	2020-06-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Constant Key Parameter Control of Electric Power System Conventional PSO Algorithm CPSO Algorithm Fast Fuzzy Logic PSO Based MPPT Controller FL-PSO Algorithm Fuzzy Inference System Fuzzy Logic Fuzzy Logic Adaptive Particle Swarm Optimisation Long Convergence Time Maximum Power Point Trackers Maximum Power Point Tracking Controller Metaheuristic Algorithm Optimisation Technique Particle Swarm Optimisation Photovoltaic Conversion System Photovoltaic Power System Photovoltaic System Power Generation Control PV Generator PV System Solar Power Stations
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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