ItemArticle

Enhanced mother optimization algorithm-based optimal reconfiguration to accommodate emerging electric vehicle demand

Title
Enhanced mother optimization algorithm-based optimal reconfiguration to accommodate emerging electric vehicle demand
Creator
K, Radha Rani; P, Sobha Rani; K, Swarnasri; Janamala, Varaprasad
Description
Radial configuration and high x/r ratio branches in electrical distribution systems (EDSs) result in significant power losses and diminished stability margins. Optimal network reconfiguration (ONR) is a highly flexible solution methodology for addressing these challenges. The identification of optimal branches or tie lines to modify their on/off status in relation to multiple objectives under radial constraints constitutes a complex optimization challenge. This paper presents a novel variant of the mother optimization algorithm (MOA) that incorporates dynamic learning techniques for the optimal placement and sizing of electric vehicle (EV) charging stations to enhance distribution system loadability. The proposed modifications enhanced the overall performance of the algorithm by improving the exploration and exploitation characteristics. This leads to superior global best results and faster convergence than with other competitive algorithms when addressing complex optimization problems. In addition, an enhanced mother optimization algorithm (EMOA) is employed to address the ONR problem in 7-, 12-, 33-, 69-, and 118-bus IEEE radial systems. The losses are reduced by 44.15%, 30.07%, 33.87%, 55.72%, and 33.04% when compared to the base case across the respective test systems. Moreover, the loadability is increased in the 33-bus and 69-bus configurations by 208.75% and 177.07% for the base and optimal configurations, respectively. The results indicate the appropriateness of the ONR for enhancing the loadability to accommodate the rising penetration levels of electric vehicles (EVs) in support of sustainability. The Author(s) 2025.
Source
Journal of King Saud University - Engineering Sciences;Volume;37;Issue;3;Article No.;7;
Date
01-01-2025
Publisher
Springer International Publishing
Subject
Dynamic leaning techniques; Electrical distribution system; Loadability enhancement; Loss reduction; Mother optimization algorithm; Multi-objective optimization
Coverage
K R.R., R.V.R & J.C. College of Engineering, Chowdavaram, Andhra Pradesh, Guntur, 522019, India; P S.R., Lakireddy Bali Reddy College of Engineering (Autonomous), Jawaharlal Nehru Technological University, Kakinada (JNTUK), East Godavari, Andhra Pradesh, Kakinada, 533003, India; K S., R.V.R & J.C. College of Engineering, Chowdavaram, Andhra Pradesh, Guntur, 522019, India; Janamala V., School of Engineering and Technology, Christ University, Karnataka, Bangalore, 560074, India
Rights
All Open Access; Gold Open Access; Green Open Access
Relation
ISSN: 10183639;
Format
online
Language
English
Type
Article

Citation

K, Radha Rani; P, Sobha Rani; K, Swarnasri; Janamala, Varaprasad, “Enhanced mother optimization algorithm-based optimal reconfiguration to accommodate emerging electric vehicle demand,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/22175.

Output Formats