ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1664533
Optimal Allocation of Renewable Energy Sources and Power Filters in Unbalanced Distribution Systems with Nonlinear loads under Load Growth Condition
Provisionally accepted
- Jawaharlal Nehru Technological University Kakinada University College of Engineering Kakinada, Kakinada, India
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
In recent years, the world's energy needs have increased significantly. In order to meet this demand and mitigate the environmental issues brought on by the use of conventional power plants, numerous studies were offered to develop renewable energy sources (RES) as green energy distributed generators. This study uses probability distribution functions to simulate the fluctuating nature of RES and load. A novel approach to minimize Power Loss, Total Harmonic Distortion, and Cost is proposed which employs Pareto front-based Multi Objective Backtracking Search Algorithm (PMBSA) to optimally distribute RES and Power Filters in an Unbalanced Distribution System (UDS). The proposed approach takes into account load growth and multiple non-linear loads in addition to linear loads while optimally allocating RES, Passive power filters (PPFs) and Active power filters (APFs) in UDS. The results of simultaneous placement of RES and PPFs are compared with simultaneous placement of RES and APFs by testing on a 123-bus UDS to demonstrate which combination performs better in reducing THD along with other objectives. Automatic Voltage Regulators (AVRs) and Shunt Capacitor Banks (SCBs) are also installed in UDS in the event of voltage limit violations. Furthermore, results comparison is carried out with results obtained using Non-dominated Sorting Genetic Algorithm (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO) and Weighted Sum technique (WSA) to demonstrate the effectiveness of the proposed approach employing PMBSA in improving UDS performance.
Keywords: Renewable Energy Sources, Total power loss, Total cost, Total harmonic distortion, Load growth, Passive power filters, Active power filters, Distributed generators
Received: 12 Jul 2025; Accepted: 29 Sep 2025.
Copyright: © 2025 Arubolu, Kollu and Manyala. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ravindra Kollu, ravikollu@jntucek.ac.in
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.