Abstract
In this paper, power system dynamic stability was enhanced by damping electromechanical oscillations using STATCOM based supplementary power oscillation damping (POD) controller. The non-linear model of the system was derived and then linearized to derive the system closed loop state matrix for eigenvalue analysis. The supplementary POD controller for STATCOM was designed and formulated as an optimization problem and the controller parameters were optimized using teaching-learning-based optimization (TLBO) algorithm. The proposed POD controller performance was verified in time domain simulation. The result shows that the proposed STATCOM POD controller was effective over different operating conditions in enhancing the dynamic stability of power system by damping electromechanical power system oscillations. The TLBO was also compared with other heuristics optimization techniques to validate its superiority.
| Original language | English |
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| Title of host publication | 2021 IEEE Texas Power and Energy Conference, TPEC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728186122 |
| DOIs | |
| State | Published - 2 Feb 2021 |
| Externally published | Yes |
Publication series
| Name | 2021 IEEE Texas Power and Energy Conference, TPEC 2021 |
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Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Damping
- FACTS
- PSS
- Power system stability
- STATCOM
- TLBO
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Control and Optimization