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

izvorni znanstveni rad

izvorni znanstveni rad

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

Vrsta prilog sa skupa (u zborniku)
Tip izvorni znanstveni rad
Godina 2024
Nadređena publikacija 2024 47th MIPRO ICT and electronics convention (MIPRO): Proceedings
Volumen 19
Stranice str. 909-914
DOI 10.1109/mipro60963.2024.10569320
ISSN 1847-3938
EISSN 2623-8764
Status objavljeno

Sažetak

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 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 controlle 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.

Ključne riječi

Rotor Angle Stability; WSCC Model; Automatic Voltage Regulator; Power System Stabilizer; Salp Swarm Algorithm; Metaheuristic Intelligence