Salp Swarm Algorithm Application in Simultaneous Parameter Selection of Generators’ Excitation Controllers for Power System Rotor Angle Stability Enhancement – WSCC Case Study

In this paper a rotor angle stability of a power system, represented by WSCC model (Western standard coordinated council) is investigated after testing such a system in several disturbance conditions. In these conditions generators’ excitation controllers AVR and PSS are being simultaneously tuned with the purpose of achieving satisfactory oscillations in angular speeds, voltages, and transmission line power transfer. Four different single-objective metaheuristic algorithms are used for controllers’ parameter change, algorithm comparison and performance analysis. Every algorithm has the same starting population, two different single objective functions (time-domain error-oriented function and transitional process quality-oriented function) and three power system disturbance scenarios. Proposed SSA algorithm is also compared with three other algorithms: PSO (particle swarm optimization), SA (simulated annealing) and ALO (ant lion optimizer). Algorithms’ performance is compared by quality indicators: best result, mean value, standard deviation, and convergence capability.