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The power system is a dynamic system and it is constantly being subjected to disturbances. It is important that these disturbances do not drive the system to unstable conditions. From the power system point of view, the excitation system of synchronous generator must contribute for the effective voltage control and enhancement of the system stability. The requirement for electric power stability is...
In this paper a bacteria foraging intelligent optimization based optimal fuzzy scheme has been developed to design intelligent adaptive controllers for improving the dynamic and transient stability performance of multimachine power system. This concept is applied to Power System Stabilizer (PSS) connected to a nine bus three machine power system. The rules of the neuro-fuzzy scheme are derived from...
The main objective of this work is to illustrate the development of a new class of intelligent adaptive control system based on a system-centric approach for the control of generators under transient operating conditions. The benefit of such a structure is its ability to control time varying power system operations including complex and multimodal dynamics and scheduled/unscheduled dasiajumpspsila...
This paper presents a novel hybrid power system stabilizer (HyPSS), which is a parallel combination of conventional delta-omega power system stabilizer (CPSS) and fuzzy logic power system stabilizer (FLPSS). HyPSS is aimed at improving both transient and dynamic stability of the system. CPSS parameters and normalization and de-normalization factors of FLPSS are optimized using genetic algorithm (GA)...
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