Evaluation of Modified Global Sensitivity Analysis Techniques for Power System Dynamic Studies

Abstract

When conducting detailed dynamic simulations of a power system network, it is advantageous to know the key parameters of the nonlinear models. The power engineers can Tune the dynamic models' response to meet the inverter-based resources interconnection requirements and maintain grid reliability. State-of-the-art sensitivity analysis techniques cannot be directly applied to complex nonlinear dynamic models, for example, second-generation renewable energy system models. Thus, this work focuses on proposing modified global sensitivity analysis techniques that are highly applicable for nonlinear dynamic models in the modern power system network. Additionally, the proposed techniques are evaluated based on their computational efforts. The proposed modified techniques are applied on a utility-scale solar photovoltaic power plant dynamic model to determine the sensitive states and identify the key parameters. Detailed dynamic simulation on a 200-bus synthetic grid network is conducted to verify the identified key parameters using PSS®E.