Issue |
E3S Web of Conf.
Volume 547, 2024
International Conference on Sustainable Green Energy Technologies (ICSGET 2024)
|
|
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Article Number | 01013 | |
Number of page(s) | 7 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202454701013 | |
Published online | 09 July 2024 |
PSO and GSS algorithms are used to arrange DG optimally for voltage profile enhancement and loss reduction
1 Assistant Professor, Department of EEE, AITS – Rajampet, A.P, India
2 Assistant Professor, Department of EEE, ACET - Gudur, A.P, India
3 Assistant Professor, Department of EEE, N.B.K.R.IST – Vidya Nagar, A.P, India
4 Assistant Professor, Department of EEE, ACET - Gudur, A.P, India
5 Research Scholar, Department of EEE, S. V. University - Tirupati, A.P, India
* Corresponding author: arunkumar.thulasi@gmail.com
This project looks at the best locations for Distributed Generation (DG) units in power distribution networks to reduce system losses and simultaneously enhance voltage profiles. The suggested methodology makes use of a hybrid optimization approach that blends fuzzy logic with the Particle Swarm Optimization (PSO) and Golden Section Search Algorithm (GSS). To evaluate the effectiveness and robustness of the suggested method, the study focuses on the IEEE-15 bus and IEEE-69 bus systems as test cases. This project thoroughly evaluates the suggested methodology on the IEEE-15 bus and IEEE-69 bus systems in order to validate and assess it. Comparative research indicates that fuzzy logic hybrid PSO and GSS are better than classical optimization techniques. The results demonstrate a noticeable improvement in loss reduction and voltage profile improvement
© The Authors, published by EDP Sciences, 2024
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