Title: An integrated approach for scheduling electric vehicles and distributed generators in a smart distribution system

Authors: Velamuri Suresh; Suresh Kumar Sudabattula; N. Prabaharan; R. Sitharthan; M. Rajesh

Addresses: Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, 412115, India ' School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, 144402, Punjab, India ' School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, 613401, Tamilnadu, India ' School of Electrical Engineering, Vellore Institute of Technology, Vellore, 632014, Tamilnadu, India ' Department of Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, 423603, India

Abstract: An increase in the utilisation of electric vehicles (EVs) and their irregular patterns usage creates a greater impact on electric distribution system performance. In this paper, an effective method of scheduling EVs, optimal location, and sizing of Distributed Generators (DG) is implemented. A novel smart charging method is proposed and implemented for scheduling the EVs in both grid to vehicle (G2V) and vehicle to grid (V2G) modes in this work. Also, a combined approach of voltage stability index (VSI) and grasshopper optimisation (GOA) method is implemented on the IEEE 33 bus system in the presence of EVs. The results are carried for three different cases with and without considering EVs in both V2G and G2V modes. The proposed smart charging method provides a better solution in managing the system peak demand thereby reducing the power loss of the overall network and improving the voltage profile.

Keywords: electric vehicle; smart charging; GOA; grasshopper optimisation; power loss; distributed generation.

DOI: 10.1504/IJHVS.2023.132993

International Journal of Heavy Vehicle Systems, 2023 Vol.30 No.3, pp.317 - 334

Received: 16 Nov 2021
Accepted: 25 Dec 2021
Published online: 23 Aug 2023 *

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