Stability Analysis of Synchronous Generator among Four Intelligent Fuzzy Logic Based Excitation Controllers | ||||
| The International Conference on Electrical Engineering | ||||
| Article 12, Volume 9, 9th International Conference on Electrical Engineering ICEENG 2014, May 2014, Page 1-18 PDF (645.52 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2014.30366 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| W. Sabry | ||||
| Egyptian Armed Forces. | ||||
| Abstract | ||||
| Electrical power systems are widely distributed systems, consisting of a large number of interconnected synchronous generators through transmission lines, mounting real and reactive power. Moreover, with deregulation and growth of the power industry, power systems elements are forced to operate very near to their maximum capacity and hence, the system becomes vulnerable. Therefore, controlled operation of power systems is very critical and of utmost importance in order to achieve stable power system. Naturally, this paves ways for implementing fast, efficient and reliable control algorithms. Robustness and efficiency of power system controllers can be improved by using complimentary models of intelligent systems. Difficulties encountered in designing controls for nonlinear, dynamic and uncertain systems can be easily tackled by using intrinsic observability property of various intelligent systems. Intelligent controllers have been successfully applied to enhance operation and control of power system. This paper presents an implementation of four different Fuzzy Logic based intelligent controllers through the excitation system of the synchronous generator: Conventional Fuzzy Logic Controller (CFLC), Adaptive Fuzzy Logic Controller (AFLC), Adaptive Neuro-Fuzzy Logic Controller (ANFLC) and Takagi-Sugeno Fuzzy Logic Controller (TSFLC). A comparison between the four proposed intelligent controllers are presented. | ||||
| Keywords | ||||
| Conventional Fuzzy Logic Controller (CFLC); Adaptive Fuzzy Logic Controller (AFLC); Adaptive Neuro-Fuzzy Logic Controller (ANFLC); Takagi-Sugeno Fuzzy Logic Controller (TSFLC) | ||||
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