Symbiotic organism search based load frequency control with TCSC

In this article, an attempt has been made to incorporate a nature inspired optimization algorithm namely symbiotic organism search (SOS) for optimistic results of load frequency control (LFC) problem. SOS mimics the symbiotic relations received by an organism to stay in the ecosystem. The proposed control technique is evaluated on a two-area multi-unit multi-source power plant equipped with classical controllers. The power system nonlinearities such as generation rate constraint, governor dead band and time delay of transmission system are considered in the study to appraise feasibility of SOS algorithm. The controller settings are concurrently optimized using SOS algorithm via minimization of integral time square error (ITSE) based fitness function. The tuning ability of SOS algorithm is demonstrated by relative study with other optimization techniques reported before. Furthermore, a frequency stabilizer is included in the LFC loop to provide faster damping to the system oscillations. Simulation results shows that proposed coordinated damping controller exhibits greater dynamic performance in terms of overshoot, peak time, settling time etc.

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