Optimal control of grid-connected microgrid PV-based source under partially shaded conditions

Guichi, A. and Mekhilef, S. and Berkouk, E. M. and Talha, A. (2021) Optimal control of grid-connected microgrid PV-based source under partially shaded conditions. Energy, 230. ISSN 0360-5442, DOI https://doi.org/10.1016/j.energy.2021.120649.

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Microgrids are gaining increasing attention globally and becoming increasingly powered by photovoltaic (PV) systems, thereby requiring high-efficiency control to function as a microgrid distributed generation unit. Accordingly, this study presents an optimal control of a grid-connected Microgrid PV Source (MPVS) under partially shaded conditions. The objective is to ensure the MPVSs ability to rapidly and precisely deliver the amount of power assigned by the supervisory controller. Thus, MPVS must shift rapidly and smoothly between the maximum and intermediate power point modes. The proposed system is composed of PV array, grid emulators, and two converters coupled to a common DC bus. The control strategy of the boost converter is based on the combination of two algorithms: particle swarm optimization algorithm and the proposed intermediate power point tracker algorithm. The voltage source inverter is controlled to keep the DC bus voltage constant and inject the power to the grid, in which the voltage-oriented control technique is applied and combined with the phase-locked loop algorithm for voltage synchronization. Lastly, all control algorithms are implemented in a DSpace 1104 environment and largely tested under various partially shaded patterns. (c) 2021 Elsevier Ltd. All rights reserved.

Item Type: Article
Funders: Ministry of Higher Education, Malaysia under the Fundamental Research Grant Scheme (FRGS) (FRGS/1/2020/TK0/UM/02/15)
Uncontrolled Keywords: Microgrid; Distributed generation unit; Grid-connected PV system; Maximum power point tracking (MPPT); PSO; Intermediate power point tracking (IPPT); Partial shading
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 18 Mar 2022 07:20
Last Modified: 18 Mar 2022 07:21
URI: http://eprints.um.edu.my/id/eprint/26565

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