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Fuzzy-PSS and fuzzy neural network non-linear PI controller-based SSSC for damping inter-area oscillations.
- Source :
-
Transactions of the Institute of Measurement & Control . Feb2018, Vol. 40 Issue 3, p733-745. 13p. - Publication Year :
- 2018
-
Abstract
- In this paper, a new approach is recommended for damping out power system oscillations. In this approach, a new fuzzy neural proportional–integral (PI) controller (FNPIC) based static synchronous series compensator (SSSC) and a fuzzy-power system stabilizer (fuzzy-PSS) with a new structure are simultaneously employed. Adaptive learning rates based on the Lyapunov stability theory to enhance the convergence speed of the proposed controller are obtained. In the structure of fuzzy-PSS, a pattern search algorithm is used to adjust four gains. A two-area four-machine power system and a three-area, three-machine power system are employed to investigate the efficiency of the proposed method. Simulations results confirm the capabilities of proposed controller in suppressing the power system oscillations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01423312
- Volume :
- 40
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Transactions of the Institute of Measurement & Control
- Publication Type :
- Academic Journal
- Accession number :
- 127846077
- Full Text :
- https://doi.org/10.1177/0142331216665688