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Optimal Voltage Control in Distribution Systems with Intermittent PV Using Multiobjective Grey-Wolf-Lévy Optimizer - imarina:6185836

Autor/es de la URV:Abdelnasser Mohamed Mahmoud, Mohamed
Autor según el artículo:Mahmoud K; Hussein MM; Abdel-Nasser M; Lehtonen M
Direcció de correo del autor:mohamed.abdelnasser@urv.cat
Identificador del autor:0000-0002-1074-2441
Año de publicación de la revista:2020
Tipo de publicación:Journal Publications
ISSN:1932-8184
Referencia de l'ítem segons les normes APA:Mahmoud K; Hussein MM; Abdel-Nasser M; Lehtonen M (2020). Optimal Voltage Control in Distribution Systems with Intermittent PV Using Multiobjective Grey-Wolf-Lévy Optimizer. Ieee Systems Journal, 14(1), 760-770. DOI: 10.1109/JSYST.2019.2931829
Referencia al articulo segun fuente origial:Ieee Systems Journal. 14 (1): 760-770
Resumen:© 2007-2012 IEEE. The intermittent photovoltaic (PV) units significantly affect the performance of distribution systems, and they often cause several operational problems, most importantly, voltage rise/drop. At high PV penetration, excessive tap movements of transformers and high curtailed PV power are expected to completely solve the voltage violation problem. In this paper, we propose an optimal voltage control method for distribution systems considering the number of tap movements of transformers and the active power curtailment of PV units. The objective function of the proposed method comprises: 1) voltage drop violation, 2) voltage rise violation, 3) tap movement rate (TMR) of transformers, and 4) curtailed power of PV (CPPV). A multiobjective grey wolf optimizer integrated with a Lévy mutation operator (GWO-Lévy) is formulated to accurately solve the voltage control problem. A 24-h simulation is performed on the 119-bus distribution system with PV and different types of loads. The performance of GWO-Lévy is compared with three other optimizers, finding that it achieves the best performance. The simulation results demonstrate the efficacy of the proposed method for solving the voltage violation problem with PV while simultaneously optimizing TMR and CPPV.
DOI del artículo:10.1109/JSYST.2019.2931829
Enlace a la fuente original:https://ieeexplore.ieee.org/document/8798754
Versión del articulo depositado:info:eu-repo/semantics/acceptedVersion
Acceso a la licencia de uso:https://creativecommons.org/licenses/by/3.0/es/
Departamento:Enginyeria Informàtica i Matemàtiques
URL Documento de licencia:https://repositori.urv.cat/ca/proteccio-de-dades/
Áreas temáticas:Telecommunications
Operations research & management science
Interdisciplinar
Information systems
Engineering, electrical & electronic
Engenharias iv
Engenharias iii
Engenharias i
Electrical and electronic engineering
Control and systems engineering
Computer science, information systems
Computer science applications
Computer networks and communications
Ciência da computação
Biotecnología
Palabras clave:Voltage rise
Voltage drop
Transformers
Tap changer
Rise mitigation
Photovoltaic (pv)
Penetration
Lévy operator
Greywolf optimizer (gwo)
Grey wolf optimizer (gwo)
Generation
Distribution systems
Distribution network
Coordinated control
Capacitors
Algorithm
Entidad:Universitat Rovira i Virgili
Fecha de alta del registro:2023-05-13
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