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Application of the Voltage Control Technique and MPPT of Stand-alone PV System with StorageHIVZIEFENDIC, J. , VUIC, L. , LALE, S. , SARIC, M.
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battery management systems, fuzzy logic, maximum power point trackers, photovoltaic systems, voltage control
power(15), mppt(13), systems(10), energy(10), control(9), system(6), point(6), maximum(6), tracking(5), techniques(5)
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About this article
Date of Publication: 2022-02-28
Volume 22, Issue 1, Year 2022, On page(s): 21 - 30
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.01003
Web of Science Accession Number: 000762769600004
SCOPUS ID: 85126755723
To provide a stable operation of a standalone microgrid based on the photovoltaic system in the most efficient way, various mechanisms and control strategies need to be engaged simultaneously. Modeling, simulation, and analysis of the microgrid system composed of PV generator, battery energy storage system (BESS), and DC/AC converter are presented in the paper. The PV generator operates in maximum power point (MPP) mode, while the BESS is deployed to enable power flow between the storage and consumers using the charge/discharge cycle of the battery. The maximum power point tracking (MPPT) control at the PV side, combined with battery control, is obtained by Perturb and Observe (P&O) and Fuzzy Logic Control (FLC) algorithms. Simulation based voltage control strategy is performed by using both DC/DC buck-boost converter and DC/AC converter with aim to obtain stable voltage for different power inputs. Modeling and simulations are performed in MATLAB/Simulink software. It is demonstrated that proposed methods ensure a stable microgrid operation and PV system operation in MPP mode. Both MPPT algorithms, P&O and FLC, provided accurate responses with very high efficiency above 95%.
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 Power Optimization in Hybrid Renewable Energy Standalone System using SMC-ANFIS, KALVINATHAN, V., CHITRA, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 22, 2022.
Digital Object Identifier: 10.4316/AECE.2022.03008 [CrossRef] [Full text]
 Comparison of Control Configurations and MPPT Algorithms for Single-Phase Grid-Connected Photovoltaic Inverter, PRASATSAP, U., NERNCHAD, N., TERMRITTHIKUN, C., SRITA, S., KAEWCHUM, T., SOMKUN, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 23, 2023.
Digital Object Identifier: 10.4316/AECE.2023.02007 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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