DNR optimization for loss reduction and voltage stability considering EV charging load

Saedi, Azrin and Mohd Shahrin, Abu Hanifah and Hilmi Hela, Ladin and Mohamad Heerwan, Peeie and Halim, Ghafar (2022) DNR optimization for loss reduction and voltage stability considering EV charging load. In: 2022 IEEE International Conference on Power and Energy : Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022Pages 203 - 2082022; 9th IEEE International Conference on Power and Energy, PECon 2022 , 5 - 6 December 2022 , Langkawi, Kedah. pp. 351-355. (185592). ISBN 978-166540990-2

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Abstract

In recent years, electric vehicles (EVs) have been a countermeasure to the serious carbon emission problem in the transportation sector. However, despite being one of the essential infrastructures in the EV ecosystem, the EV charging load causes voltage instability and increases power losses in the distribution network. Thus, this paper proposed optimizing distribution network reconfiguration (DNR) to solve the problem. The best two metaheuristic methods, Cuckoo Search Algorithm (CSA) and Particle Swarm Optimization (PSO) were compared to get the optimum solution. It was tested on the IEEE 33-bus system in the MATLAB environment with various cases of charging activity. As a result, the CSA showed better consistency with better power loss reduction and voltage stability compared to PSO.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Charging load; Cuckoo search algorithm; Distribution network reconfiguration; Electric vehicle; Particle swarm optimization; Power losses; Voltage stability
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division:	College of Engineering Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	14 Nov 2023 04:00
Last Modified:	14 Nov 2023 04:00
URI:	http://umpir.ump.edu.my/id/eprint/39112
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