Issue |
E3S Web Conf.
Volume 472, 2024
International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2023)
|
|
---|---|---|
Article Number | 02008 | |
Number of page(s) | 8 | |
Section | Green Computing | |
DOI | https://doi.org/10.1051/e3sconf/202447202008 | |
Published online | 05 January 2024 |
Solution of OPF Using GA Variant With Inclusion of FACTS Devices
1 Research Scholar, EEE Department, Anurag University, Hyderabad, TS
2 Associate Professor, EEE Department Anurag University, Hyderabad, TS
3 Professor, CVR college of engineering, Ibrahimpatnam, Hyderabad, TS
* Corresponding author: harisheee@anurag.edu.in
Optimal power flow (OPF) is a tool used for minimization through that secured and cost-effective power systems is obtained with the inclusion of FACTS devices for existing power systems that enhance the power transfer ability of the power system, which reduces congestion. The current work proposed a solution to the OPF issue in power systems using genetic algorithm (GA). The proposed technique is implemented on an IEEE 30 bus system by considering the minimization of fuel cost and L-index functions. The results at the end of this paper pre-sent the efficacy of GA algorithm to solve OPF issues in power systems and FACTS devices while comparing it to other algorithms presented previous re-search.
Key words: Thyristor controlled series capacitor / optimal power flow / L-index / power system security / genetic algorithm / three point crossover
© The Authors, published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.