Issue |
E3S Web Conf.
Volume 591, 2024
International Conference on Renewable Energy Resources and Applications (ICRERA-2024)
|
|
---|---|---|
Article Number | 05009 | |
Number of page(s) | 6 | |
Section | Grid Connected Power Generation Systems with RER | |
DOI | https://doi.org/10.1051/e3sconf/202459105009 | |
Published online | 14 November 2024 |
Performance Enrichment in the Dynamic Stability of Multi Area Power System Network with the HVDC Line Integration
1, 2 EEE Department, Vasireddy Venkatadri Institute of Technology, Guntur, India 522508.
3 Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India
4 Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun - 248002, India
5 Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan
6 Graphic Era Hill University, Dehradun, 248002, India
* Corresponding author: thebestbajaj@gmail.com
This work tested the operational performance of the fruit fly algorithm (FFA) optimized proportional-integral plus double derivative (PIDD) controller for the dynamic stability of the electrical system. For this, a widely operated interconnected power system (IPS) model in the literature is considered, and the analysis for 10% step load disturbance (SLD) is performed. The optimization of PIDD using FFA is performed by taking the time domain indices of integral square error (ISE). The performance efficacy of the PIDD is demonstrated with the performances of other controllers. Later, the investigative IPS model is incorporated with the high voltage direct current line (HVDC) as a tie-line, and the comparative analysis of the simulation results confirmed the improvement in the electrical system's dynamical behavior with the HVDC line. Further, the sensitivity test is conducted and validates the control approach of PIDD-based FFA and the consideration of the HVDC line.
© 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.
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