Development of a Hybrid Simulation Technology to Optimize Parameters of Multiple Power System Stabilizers

Traditional power system simulation and analysis software cannot easily extend additional application technologies to combine data-intensive and multi-purpose advanced artificial intelligence computing methods. This paper studies the coordinated control of multiple Power System Stabilizers (PSSs) in the stability of complex power systems based on massive Power System Analysis Software Package (PSASP) simulation data. First, this paper proposes a multi-objective comprehensive objective function that considers the robustness and stability of multi-machine PSSs. Second, there employs PSASP transient simulation data to expand the multi-objective optimization algorithm with additional Non-Dominated Sorting Genetic Algorithm (NSGA-II). Third, this paper develops a PSASP-MATLAB hybrid simulation technology to realize the global parameters optimization of multi-machine PSSs under the system transient simulation data of multi-operating modes.