M.A. Thesis:

Optimal synchronous static compensator design in multi-machine power systems using the new optimization algorithm for lobster

Abstract Static synchronous compensator (STATCOM) is widely used for dynamic voltage control, transient stability improvement, power oscillation attenuation, and active and reactive power control in power systems. In this thesis, optimization of STATCOM parameters has been carried out by employing genetic and ant-lion algorithms in order to ensure system stability and enhance mitigations with respect to low frequency oscillations considering the optimization constraints. Optimization parameters including time constant, DC and AC regulator gains and complementary signal of STATCOM are determined using and-lion optimizer (ALO) algorithm and genetic algorithm (GA). The obtained results show that ALO method provides a better objective function, i.e. less oscillations, compared to the genetic method. The simulation results in all circumstances, especially in the worst case scenario, i.e. overload case, have shown that the system response obtained from the controller adjusted by an optimized STATCOM through ALO algorithm has more stability compared to that adjusted by an optimized STATCOM through GA. In all simulation scenarios, the obtained results show less overshoot, reduced settling time and ignorable steady state error of the proposed controller verifies high reliability of the method. Moreover, the results prove that compared to a system without STATCOM, voltage stability and loading capability of the system has improved significantly. Keywords: power systems, low frequency oscillations, static synchronous compensator (STATCOM), ant-lion optimizer (ALO) algorithm, genetic algorithm (GA).

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