The Impact of CLOD Load Model Parameters on Dynamic Simulation of Large Power Systems

Abstract

The objective of this paper is to explore how optimal load model parameters impact the results of dynamic simulations in power systems. We focus on identifying the parameters for CLOD composite models that are widely used in power industry to represent major loads in dynamic simulations. This model accounts for the diversity of load components by representing a variety of elements, including large and small motors and static loads. We use evolutionary-based optimization methods to minimize the error between PMU measurements and dynamic PSS/E simulations for fault-induced voltage events. We compare the simulations results obtained using optimized load models with those of generic models that are often used in the industry. We provide simulation results based on real-life data from Alberta’s electrical power system.