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Energies 2019, 12(1), 167; https://doi.org/10.3390/en12010167

An Ant Colony Optimized MPPT for Standalone Hybrid PV-Wind Power System with Single Cuk Converter

1
Department of Electrical Engineering, Birsa Institute of Technology (Trust), Ranchi 835217, India
2
Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia
3
Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark
4
School of Computing & Information Technology, REVA University, Bangalore 560064, India
*
Authors to whom correspondence should be addressed.
Received: 1 September 2018 / Revised: 10 September 2018 / Accepted: 18 September 2018 / Published: 4 January 2019
(This article belongs to the Special Issue Power Electronics 2018)
Full-Text   |   PDF [5131 KB, uploaded 4 January 2019]   |  

Abstract

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. View Full-Text
Keywords: Ant Colony Optimization; cuk converter; dSPACE (DS1104); Fuzzy Logic Control Ant Colony Optimization; cuk converter; dSPACE (DS1104); Fuzzy Logic Control
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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. Energies 2019, 12, 167.

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