A New Parameters Identification Method for Novel Synchronous Condenser Based on Particle Swarm Algorithm and Wavelet Transform

In order to improve the safe and stable operation level of ultra-high voltage direct current power transmission projects, the novel synchronous condenser is adopted as a new dynamic reactive power compensation device. The accurate parameters identification is crucial to the analysis of the novel synchronous condenser's operating characteristics. This paper proposes a new parameters identification method for the novel synchronous condenser, which is based on DC step voltage test. Particle swarm algorithm and wavelet transform are used in this process. A detailed 2D FEA model of novel synchronous condenser is established. Then the DC step voltage test is carried out and wavelet transform is used to preprocess the obtained current response. Finally, the accurate performance parameters are identified using particle swarm optimization algorithm.