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Robust Design of PSS and SVC Using Teaching-Learning based Optimization Algorithm
Power System Stabilizers (PSS) are very effective controllers in generation supplementary feedback stabilizing signals. Using of PSS in power systems singly not only can not improve voltage stability but also cause great variations in the voltage .In recent years Flexible AC Transmission Systems (FACTS) such as Static VAr Compensation (SVC) has been used for dynamic control voltage, increasingly. Incoordination of PSS and SVC parameters can have adverse effects on generator angle and voltage oscillations. So, simultaneous coordination of PSS and SVC parameters is highly regarded. This paper determines the optimal parameters of PSS and SVC using Teaching-Learning based Optimization (TLBO) algorithm in such a way that the power system operates against a wide range of contingency.