Modelling, simulation and optimal tuning of SSSC-based controller in a multi-machine power system
نویسنده
چکیده
A systematic procedure for modeling, simulation and optimally tuning the parameters of a Static Synchronous Series Compensator (SSSC) controller in a multi-machine system, for power system stability enhancement is presented in this paper. For the simulation purpose, the model of multi-machine power system with SSSC controller is developed in MATLAB/SIMULINK using Sim Power System (SPS) blockset. The design problem of SSSC controller is formulated as an optimization problem and Real Coded Genetic Algorithm (RCGA) is employed to search for the optimal SSSC controller parameters. By minimizing a timedomain based objective function, in which the modal oscillations of the power system are involved; stability performance of the power system is improved. The results obtained from simulations validate the effectiveness of proposed modeling and tuning approach for power system stability improvement. The simulation results also show that the proposed SSSC controller is effective in damping a range of small disturbance conditions in the power system.
منابع مشابه
Improving the stability of the power system based on static synchronous series compensation equipped with robust model predictive control
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