Abstract- The problem of dynamic stability of power system has challenged power system engineering since over three decades now. In a generator, the electromechanical coupling between the rotor and the rest of the system causes it to behave in a manner similar to a spring mass damper system, which exhibits an oscillatory behavior around the equilibrium state, following any disturbance, such as change in loads, change in transmission line parameters, fluctuations in the output of turbine and fault etc. Optimal tuning of multi machine Power System Stabilizers (PSSs) using genetic algorithm is presented in this paper. Selecting the parameters of power system stabilizers which simultaneously stabilize system oscillations is converted to a simple optimization problem that is solved by a genetic algorithm. The advantage of GA technique for tuning the PSS parameters is that it is independent of the complexity of performance index considered. The efficiency of the proposed method has been tested on two cases of multi-machine systems include 3-machine 9 buses system and 10-machine 39 buses New England system. The proposed method of tuning the PSS is an attractive alternative to conventional fixed gain stabilizer design as it retains the simplicity of the conventional PSS and at the same time guarantees a robust acceptable performance over a wide range of operating and system condition.
کلید واژگان :Abstract- The problem of dynamic stability of power system has challenged power system engineering since over three decades now. In a generator, the electromechanical coupling between the rotor and the rest of the system causes it to behave in a manner similar to a spring mass damper system, which
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