Dynamic load modeling for small disturbances using measurement-based parameter estimation method

Load modeling is an important task in power system stability analysis and control. Taking this into account, in this paper an improved particle swarm optimization (PSO) is applied to obtain dynamic load models based on the measurement approach. To achieve this, a measurement-based parameter estimation method is used for identification of the exponential recovery load model. Measurements are obtained performing dynamic simulation of an IEEE 14-bus test system under several disturbances, and the response of the obtained models is validated using different data sets. An adequate load modeling improves the comprehension of load behavior and the capability of reproducing transient events on power systems.