Control Parameters Optimization for Voltage Source Converter Based on Agent Model and Automated Indicator Extraction

The controller parameters not only concern the stable operation of voltage source converter (VSC), but also affect the comprehensive performance. However, the existing research on controller parameters design typically focuses on stability indicator with less consideration given to dynamic performance, THD, etc. Therefore, to obtain a better and more comprehensive performance of VSC, the optimal design of the control parameters is vital and necessary. In this paper, based on the agent model and multi-indicator assessment system TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), a comprehensive performance evaluation model of VSC is developed. With the help of the model, the comprehensive scores under different control parameters are investigated, which is viewed as a criterion for judging the comprehensive performance of VSC. In addition, the automated testing and indicator extraction based on the hardware-in-the-loop (HIL) platform is carried out, aiming to obtain indicators data closer to reality and improve the experimental efficiency. Then the optimal control parameters are obtained based on genetic algorithm (GA). Finally, the method proposed in this paper has been validated by HIL platform, the results show that the optimized control parameters have better steady state and dynamic performance while satisfying the stability indicator, which indicates that the method proposed can effectively improve the comprehensive performance of VSC.