An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter

Ant colony optimization; Artificial intelligence; Computer circuits; DC-DC converters; Electric inverters; Fuzzy logic; Maximum power point trackers; Particle swarm optimization (PSO); Permanent magnets; Secondary batteries; Synchronous generators; Two term control systems; Wind power; Ant Colony Op...

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Main Authors: Priyadarshi N., Ramachandaramurthy V.K., Padmanaban S., Azam F.
Other Authors: 57195679733
Format: Article
Published: MDPI AG 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-250432023-05-29T15:30:54Z An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter Priyadarshi N. Ramachandaramurthy V.K. Padmanaban S. Azam F. 57195679733 6602912020 18134802000 57195670768 Ant colony optimization; Artificial intelligence; Computer circuits; DC-DC converters; Electric inverters; Fuzzy logic; Maximum power point trackers; Particle swarm optimization (PSO); Permanent magnets; Secondary batteries; Synchronous generators; Two term control systems; Wind power; Ant Colony Optimization (ACO); D-space; Fuzzy logic control; Fuzzy logic control (FLC); Particle swarm optimization algorithm; Permanent Magnet Synchronous generator (PMSG); Proportional-integral control; Stand alone power systems; Electric rectifiers This research work explains the practical realization of hybrid solar wind-based standalone power system with maximum power point tracker (MPPT) to produce electrical power in rural places (residential applications). The wind inspired Ant Colony Optimization (ACO)-based MPPT algorithm is employed for the purpose of fast and accurate tracking power from wind energy system. Fuzzy Logic Control (FLC) inverter controlling strategy is adopted in this presented work compared to classical proportional-integral (PI) control. Moreover, single Cuk converter is operated as impedance power adapter to execute MPPT functioning. Here, ACO-based MPPT has been implemented with no voltage and current extra circuit requirement compared to existing evolutionary algorithms single cuk converter is employed to improve conversion efficiency of converter by maximizing power stages. DC-link voltage can be regulated by placing Cuk converter Permanent Magnet Synchronous Generator (PMSG) linked rectifier and inverter. The proposed MPPT method is responsible for rapid battery charging and gives power dispersion of battery for hybrid PV-Wind system. ACO-based MPPT provides seven times faster convergence compared to the particle swarm optimization (PSO) algorithm for achievement of maximum power point (MPP) and tracking efficiency. Satisfactory practical results have been realized using the dSPACE (DS1104) platform that justify the superiority of proposed algorithms designed under various operating situations. � 2019 by the authors. Final 2023-05-29T07:30:54Z 2023-05-29T07:30:54Z 2019 Article 10.3390/en12010167 2-s2.0-85060016736 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060016736&doi=10.3390%2fen12010167&partnerID=40&md5=163d880bfc131f26909bc31e652c3609 https://irepository.uniten.edu.my/handle/123456789/25043 12 1 en12010167 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 Ant colony optimization; Artificial intelligence; Computer circuits; DC-DC converters; Electric inverters; Fuzzy logic; Maximum power point trackers; Particle swarm optimization (PSO); Permanent magnets; Secondary batteries; Synchronous generators; Two term control systems; Wind power; Ant Colony Optimization (ACO); D-space; Fuzzy logic control; Fuzzy logic control (FLC); Particle swarm optimization algorithm; Permanent Magnet Synchronous generator (PMSG); Proportional-integral control; Stand alone power systems; Electric rectifiers
author2 57195679733
author_facet 57195679733
Priyadarshi N.
Ramachandaramurthy V.K.
Padmanaban S.
Azam F.
format Article
author Priyadarshi N.
Ramachandaramurthy V.K.
Padmanaban S.
Azam F.
spellingShingle Priyadarshi N.
Ramachandaramurthy V.K.
Padmanaban S.
Azam F.
An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
author_sort Priyadarshi N.
title An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
title_short An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
title_full An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
title_fullStr An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
title_full_unstemmed An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
title_sort ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
publisher MDPI AG
publishDate 2023
_version_ 1806427677334175744