Mitigation of power oscillations using hybrid DE-PSO optimization-based SSSC damping controller
| Autor: | Deepak Kumar Lal, Soudamini Behera, Nirmalya Dhal, A.K. Barisal |
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| Rok vydání: | 2019 |
| Předmět: |
Optimal design
Optimization problem lcsh:T58.5-58.64 lcsh:Information technology Computer science Particle swarm optimization 020209 energy 020208 electrical & electronic engineering MathematicsofComputing_NUMERICALANALYSIS Differential evolution algorithm 02 engineering and technology Power system stability Static synchronous series compensator Electric power system Control theory Parallel communication Robustness (computer science) Differential evolution 0202 electrical engineering electronic engineering information engineering medicine lcsh:Electrical engineering. Electronics. Nuclear engineering medicine.symptom Load rejection lcsh:TK1-9971 |
| Zdroj: | Journal of Electrical Systems and Information Technology, Vol 6, Iss 1, Pp 1-17 (2019) |
| ISSN: | 2314-7172 |
| DOI: | 10.1186/s43067-019-0007-y |
| Popis: | This paper presents an optimal design of a static synchronous series compensator (SSSC)-based controller for damping of low-frequency oscillations in multi-machine power systems. The proposed controller design problem is formulated to the optimization problem. The tuning of controller parameters can be obtained by employing a new hybrid differential evolution and particle swarm optimization (hDE-PSO) algorithm. To justify the effectiveness of the proposed SSSC-based damping controller, three-machine and four-machine power systems have been considered. The hDE-PSO algorithm outperforms in the damping of oscillations over DE and PSO algorithms. Various simulation results are presented and compared for different load disturbances like three-phase fault, load rejection and tripping of one parallel transmission line. The simulation results ensure the robustness of the proposed controller. |
| Databáze: | OpenAIRE |
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