Web of Science: 7 citations, Scopus: 18 citations, Google Scholar: citations
Intelligent control of wind-assisted PHEVs smart charging station
Zulqadar Hassan, Syed (National Univeristy of Computer and Emerging Sciences. Department of Electrical Engineering)
Kamal, Tariq (Sakarya University. Department of Electrical and Electronics Engineering)
Hussnain Riaz, Muhammad (Lahore University of Management Sciences . Department of Electrical Engineering)
Syed Aamir Hussai, Shah (Ministry of Planning. Development and Reform)
Gohar Ali, Hina (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Riaz Tanveer, Muhammad (University of Faisalabad. School of Electrical Engineering)
Sarmad, Muhammad (University of Engineering and Technology Lahore. Department of Electrical Engineering)
Zahoor, Amir (National Univeristy of Computer and Emerging Sciences. Department of Electrical Engineering.)
Abbas Khan, Muhammad (Balochistan University of Information Technology Engineering and Management Sciences)
Pascual Miqueleiz, Julio (Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación)

Date: 2019
Abstract: Two technology opportunities, integration of renewable energy sources and the electrification of vehicles are being encouraged to reduce dependency on fossil fuels and pollution problems. Nevertheless, the huge increase of plug-in hybrid electric vehicles (PHEVs) on roads will cause an additional load in demand, especially at rush hours, and therefore, threatens the stability of existing power grids. Considering PHEV stay for several hours in the workplace, (i. e. , university), this may provide an inimitable framework to charge PHEV from wind in the workplace. This paper introduces the possibility of introducing intelligent control of wind power and battery storage units as supplementary power sources for future PHEV charging demands during rush hours. The operation of the proposed algorithm is based on the priority levels of PHEVs charging, and fluctuations in DC link voltage levels due to the variation in wind speed. The priorities of PHEVs charging are developed according to their power requirements, maximum rating of distribution transformer and park duration of PHEVs in the workplace during wind speed. Various non-isolated proportional-integral controllers and improved intelligent fuzzy control are used to keep a minimum critical DC link voltage to permit the power conditioning system to operate a charging station uninterruptedly, even at low wind speed. The improved intelligent fuzzy controller also contributes to minimizing the stress on the DC bus and ensures quality output power. The performance of the proposed charging station is verified for the real PHEV under real-world record of wind speed. All the energy sources, electric charging station and their controllers are designed in MATLAB/Simulink. Finally, the feasibility of proposed charging station is checked experimentally in the laboratory.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Plug-in hybrid electric vehicles ; Wind power sensing ; Intelligent control ; Smart charging
Published in: Energies, Vol. 12, Issue 5 (March 2019) , art. 909, ISSN 1996-1073

DOI: 10.3390/en12050909


31 p, 14.3 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles

 Record created 2020-06-03, last modified 2023-03-15



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