IIUM Repository

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

Saedi, Azrin and Abu Hanifah, Mohd Shahrin and Hela Ladin, Hilmi and Peeie, Mohamad Heerwan and Ghafar, Halim (2022) DNR Optimization for loss reduction and voltage stability considering EV charging load. In: 2022 IEEE International Conference on Power and Energy (PECon), 5th-6th December 2022, Langkawi.

[img] PDF - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy


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 (Plenary Papers)
Additional Information: 7686/102798
Uncontrolled Keywords: electric vehicle, charging load, power losses, voltage stability, distribution network reconfiguration, cuckoo search algorithm, particle swarm optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Date Deposited: 11 Jan 2023 09:37
Last Modified: 11 Jan 2023 09:37
URI: http://irep.iium.edu.my/id/eprint/102798

Actions (login required)

View Item View Item


Downloads per month over past year