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Power system stability improvement using self-tuning fuzzy logic controlled STATCOM
Ghafouri, A ; Sharif University of Technology | 2007
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- Type of Document: Article
- DOI: 10.1109/EURCON.2007.4400598
- Publisher: 2007
- Abstract:
- This paper presents the application of a fuzzy logic controlled Static Compensator (STATCOM) to improve stability of power system. The nonlinear fuzzy logic controller is used to overcome the problems generated by different uncertainties exist in power systems. Different input variables are used to design the controller. Parameters of the proposed controller are adjusted by means of Neural Network techniques to improve performance of the system. Proposed controller is implemented on a single machine infinite bus system to confirm the performance of the controller through simulation results
- Keywords:
- Fuzzy logic controller (FLCA) ; Input variables ; International conferences ; Neural Network techniques ; Power system stability ; Power systems ; Self tuning (ST) ; Simulation results ; Single machine infinite bus system (SMIB) ; STATCOM (static shunt compensator) ; Static compensator (STATCOM) ; Computer control systems ; Control systems ; Electric power systems ; Electric power transmission networks ; Fuzzy inference ; Fuzzy sets ; Fuzzy systems ; Neural networks ; Power transmission ; System stability ; Fuzzy logic
- Source: EUROCON 2007 - The International Conference on Computer as a Tool, Warsaw, 9 September 2007 through 12 September 2007 ; December , 2007 , Pages 1444-1449 ; 142440813X (ISBN); 9781424408139 (ISBN)
- URL: https://ieeexplore.ieee.org/document/4400598