NDLI: Global maximum power point tracking of PV arrays under partial shading conditions using a modified particle velocity-based PSO technique

Content Provider	IET Digital Library
Author	Sen, Tanuj Pragallapati, Nataraj Agarwal, Vivek Kumar, Rajneesh
Abstract	Modern PV arrays are generally designed with bypass diodes to avoid damage. However, such arrays exhibit multiple peaks in their P–V characteristics under partial shading conditions. Owing to the limitation in the abilities of conventional maximum power point tracking algorithms in such cases, the application of other optimisation algorithms has been explored. This study proposes a modified particle velocity-based particle swarm optimisation (MPV-PSO) algorithm for tracking the global power peak of the multiple peak P–V characteristics. The MPV-PSO algorithm is both adaptive and deterministic in nature. It eliminates the inherent randomness in the conventional PSO algorithm by excluding the use of random numbers in the velocity equation. The proposed algorithm also eliminates the need for tuning the weight factor, the cognitive and social acceleration coefficients by introducing adaptive values for them which adjust themselves based on the particle position. These adaptive values also solve problems like oscillations about the global best position during steady-state operation and particles getting trapped in local minima. The effectiveness of the proposed MPV-PSO algorithm is validated through MATLAB/Simulink simulations and hardware experiments.
Starting Page	555
Ending Page	564
Page Count	10
ISSN	17521416
Volume Number	12
e-ISSN	17521424
Issue Number	Issue 5, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0838
Journal	IET Renewable Power Generation
Publisher Date	2017-12-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bypass Diode Cognitive Acceleration Coefficient Global Maximum Power Point Tracking Algorithm MATLAB-Simulink Simulation Maximum Power Point Trackers Modified Particle Velocity-based Particle Swarm Optimisation Technique MPV-PSO Algorithm Multiple Peak P-V Characteristic Optimisation Algorithm Optimisation Technique Partial Shading Condition Particle Swarm Optimisation Photovoltaic Power System PV Array Social Acceleration Coefficient 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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