A simulated Annealing-based optimal design of STATCOM under unbalanced conditions and faults

This paper presents an approach for optimal design of Static Synchronous Compensator (STATCOM) in electric power systems. The underlying optimization problem is to identify the STATCOM controller's parameters using the Simulated Annealing (SA) optimization technique. The performance of the proposed SA-based controller design is compared with Particle Swarm Optimization (PSO) technique and Genetic Algorithm (GA)-based STATCOM design under different operating conditions and faults. The optimal design of the controller with SA optimization approach provides an acceptable post-disturbance and post-fault performance to recover the system to its normal situation. The advantage of the proposed technique to enhance the voltage profile in steady state operation and under different possible disturbances is confirmed through the time-domain simulations with MATLAB/SIMULINK platform.

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