A Hybrid AOSAOA Scheme Based on the Optimal Location for Electric Vehicle Parking Lots and Capacitors in a Grid to Care of Voltage Profile and Power Loss

Ch. S. V. Prasad Rao, A. Pandian, Ch. Rami Reddy, A. Giri Prasad, Ahmad Alahmadi and Yasser Alharbi
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Ch. S. V. Prasad Rao: Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., Guntur 522302, India
A. Pandian: Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., Guntur 522302, India
Ch. Rami Reddy: Department of Electrical and Electronics Engineering, Malla Reddy Engineering College (A), Secunderabad 500100, India
A. Giri Prasad: Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Secunderabad 500090, India
Ahmad Alahmadi: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Yasser Alharbi: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Energies, 2022, vol. 15, issue 12, 1-23

Abstract: In this manuscript, a hybrid system depending on the optimal location of electric vehicle parking lots (PL) and capacitors under voltage profile care and power loss is proposed. The proposed hybrid scheme is the joint execution of both the atomic orbital search (AOS) and arithmetic optimization algorithm (AOA). Commonly it is called the AOSAOA technique. In the paper, the allocation of the parking lot and capacitor is introduced to congestion management with reactive power compensation. To optimally regulate that parking lot size, the AOSAOA technique is adopted. Furthermore, parking lot and capacitor allocation are introduced to congestion management and reactive power compensation. With this proper control, the perfect sitting of capacitor and EV parking lots under the grid, including the deterioration of real and reactive power loss and voltage profiles are optimally chosen. Furthermore, the implementation of the proposed AOSAOA model is developed by the MATLAB/Simulink platform, and the efficiency of the proposed model is likened to other techniques.

Keywords: electric vehicles parking lot; voltage and power loss; atomic orbital search; arithmetic optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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