GSA to Tune Fuzzy Controller for Damping Power System Oscillation
نویسندگان
چکیده
This paper presents a Gravitational Search Algorithm (GSA) to tune optimal rule-base of a Fuzzy Power System Stabilizer (FPSS) which leads to damp low frequency oscillation following disturbances in power systems. Usually in a rule based fuzzy control system, selection of suitable rules is more difficult, because of its complexity. Thus, to reduce the design effort and find a better fuzzy system control, the optimal decision making rules is constructed using the GSA which leads to design controller with simple structure that is easy to implement. The New England 10-machine 39-bus standard power system in comparison with the Tabu Search (TS) PSS, under various system configurations and loading conditions, is employed to illustrate the performance of the proposed method.
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