Parameter Optimization of DPFC Controller Based on Multi-objective

The interaction among control objectives of distributed power flow controller (DPFC) series-side converter is transformed into a multi-objective optimization problem. The variance between the three control objectives of active power, reactive power and DC capacitor voltage controller and the corresponding reference value is taken as the performance index to design the multi-objective function. The Pareto solution set is obtained by optimizing the objective function using multi-objective particle swarm optimization algorithm, and the best compromise solution based on membership function is adopted to select the best parameter solution. Finally, it is verified that the controller parameters designed by multi-objective particle swarm optimization algorithm can reduce the interaction between DPFC series-side multi-converters in PSCAD/EMTDC.