Construction of power system load models and network equivalence using an evolutionary computation technique

摘要

This paper presents a novel methodology using an evolutionary computation technique for power system load modelling. The proposed method provides a network equivalence approach, which can considerably reduce the complexity of the transmission and distribution networks to provide an area load model based on the load models recommended by IEEE. An improved genetic algorithm is used to estimate the model and equivalent network parameters with introduction of fictitious transmission lines and load buses. To demonstrate an application of the method, a simulation study of a 5-bus power system subject to a variety of disturbances has been used to provide the source of primary data. The results show that the system behaviour can be accurately replicated by the equivalent area load model with parameters derived using the proposed methodology.