Issue |
E3S Web Conf.
Volume 387, 2023
International Conference on Smart Engineering for Renewable Energy Technologies (ICSERET-2023)
|
|
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Article Number | 01009 | |
Number of page(s) | 11 | |
Section | Electronic and Electical Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202338701009 | |
Published online | 15 May 2023 |
Optimal Placement Identification of Multiple DG Types Using Optimization Technique
Department of EEE, Velammal college of Engineering and technology, Madurai - 9
- Corresponding author: mouni0305@gmail.com
In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used. In order to calculate the data enhancement in voltage profile, this study uses the GWO algorithm. The ideal position for the proposed charging points inside the distribution system is the goal. The received comment thread solution (site & station size) is further re-optimized by PSO, improving both the functionality and outcome overall. Studies based on simulations show that the above mentioned technique outperforms GA, GWO, and PSO in respect of an improved voltage profiles as well as the quality of the solution found for the objective function. Optimum planning for the charging station’s location and size. the IEEE 33 bus system. The suggested approach takes into consideration the IEEE 33 bus service. The received thread solutions (site and station size) is further re-optimized by PSO, improving both the performance and outcome overall.
Key words: PSO / GWO / GA / HYBRID OPTIMIZATION / DG LOCATION
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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