Multi-objective pareto optimal power quality improvement in distribution systems
Multi-objective pareto optimal power quality improvement in distribution systems
The present study proposes a multi-objective optimized Electric Spring (ES) operation to improve the voltage regulation and overall power quality in a distribution system. A suitable controller has been designed for the ES implementing the Multi-objective artificial cooperative search (MOACS) optimization algorithm. The objectives are to enhance the system power factor, regulate the critical load voltage, and minimize the neutral current. The proposed technique provides satisfactory results with intermittent energy source also. The performance of MOACS has been compared with particle swarm optimization (PSO) and harmony search (HS) algorithms. It has been observed that the improvement in power factor and reduction of neutral current is much more with MOACS compared to PSO and HS. The power quality factors obtained with PSO are 0.9136, 0.9257, and 0.9146 for three different sets of loads, whereas, with HS, these values are 0.9072, 0.9324, and 0.8985. The same index improves to 0.9465, 0.9392, and 0.9307 with MOACS, which proves the efficacy of MOACS algorithm. The validation of the proposed scheme through real-time simulation confirms the reliability of this scheme.
electric spring, multi objective optimisation, power quality factor, power quality improvement, unbalance minimisation
Roy, Anushree
608818f6-9fd0-4db5-b787-9c685189f9fd
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
Yadala, Pavankumar
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
22 July 2025
Roy, Anushree
608818f6-9fd0-4db5-b787-9c685189f9fd
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
Yadala, Pavankumar
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Roy, Anushree, Debnath, Sudipta and Yadala, Pavankumar
(2025)
Multi-objective pareto optimal power quality improvement in distribution systems.
Engineering Research Express, 7 (3), [035312].
(doi:10.1088/2631-8695/adea33).
Abstract
The present study proposes a multi-objective optimized Electric Spring (ES) operation to improve the voltage regulation and overall power quality in a distribution system. A suitable controller has been designed for the ES implementing the Multi-objective artificial cooperative search (MOACS) optimization algorithm. The objectives are to enhance the system power factor, regulate the critical load voltage, and minimize the neutral current. The proposed technique provides satisfactory results with intermittent energy source also. The performance of MOACS has been compared with particle swarm optimization (PSO) and harmony search (HS) algorithms. It has been observed that the improvement in power factor and reduction of neutral current is much more with MOACS compared to PSO and HS. The power quality factors obtained with PSO are 0.9136, 0.9257, and 0.9146 for three different sets of loads, whereas, with HS, these values are 0.9072, 0.9324, and 0.8985. The same index improves to 0.9465, 0.9392, and 0.9307 with MOACS, which proves the efficacy of MOACS algorithm. The validation of the proposed scheme through real-time simulation confirms the reliability of this scheme.
Text
ERE published paper
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 30 June 2025
Published date: 22 July 2025
Keywords:
electric spring, multi objective optimisation, power quality factor, power quality improvement, unbalance minimisation
Identifiers
Local EPrints ID: 506945
URI: http://eprints.soton.ac.uk/id/eprint/506945
ISSN: 2631-8695
PURE UUID: 9b9ff242-3049-46a4-ba26-2108c8cf9326
Catalogue record
Date deposited: 21 Nov 2025 18:02
Last modified: 25 Nov 2025 03:17
Export record
Altmetrics
Contributors
Author:
Anushree Roy
Author:
Sudipta Debnath
Author:
Pavankumar Yadala
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics