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Article type: Research Article
Authors: Muthuvinayagam, M.a; * | Vengadachalam, N.b | Subha Seethalakshmi, V.c | Rajani, B.d
Affiliations: [a] Department of Electrical and Electronics Engineering, Mahendra Engineering College, Namakkal, Tamil Nadu, India | [b] Department of Electrical and Electronics Engineering, Malla Reddy Engineering College for Women, Hyderabad, Telangana, India | [c] Department of Electrical and Electronics Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India | [d] Department of Electrical and Electronics Engineering, Aditya College of Engineering and Technology, Surampalem, Andhra Pradesh, India
Correspondence: [*] Corresponding author. M. Muthuvinayagam, Associate Professor, Department of Electrical and Electronics Engineering, Mahendra Engineering College, Namakkal, Tamil Nadu, India. E-mail: muthuvinayagam.m@gmail.com;ORCIDID: 0000-0003-4822-0937.
Abstract: This paper proposes an electric vehicle charging station (EVCS) network design in urban communities using hybrid technique. The proposed approach consists of Reptile Search Algorithm (RSA) and Honey Badger Algorithm (HBA), which is jointly called as RSA-HBA technique.In this paper, a modeling method is embedded in the proposed technique to control the optimal design and sorts of electric vehicle distribution equipment for the community, considering the heterogeneity on demand and driver behaviors.Distance from home, drivers’ arrival patterns, willingness to walk, parking location and traffic on weekdays and weekends are certain important random data parameters deemed under this technique. To asymptotically coverage an optimal solution, the hybrid algorithm is used. A hybrid technique is proposed to direct the computational challenges for huge-scale phenomena. A detailed computational experiment is conducted to quantify the performance of the proposed technique. The performance of the proposed hybrid system is executed in the MATLAB platform and related with various methods.
Keywords: Electric vehicles (EVs), electric charging stations, willingness to walk, drivers’ arrival patterns, parking location
DOI: 10.3233/JIFS-221820
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 6, pp. 9327-9345, 2023
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