Title :
Optimal controller design for multilevel voltage source converter based HVDC system
Author :
Jhampati, S. ; Singh, Bawa ; Kumar, Ajit
Author_Institution :
Dept. of Power Technol., ABB Global Ind. & Services Ltd., Bangalore, India
Abstract :
In the proposed work an optimal controller is designed for multilevel voltage source converter (VSC) based HVDC system. Various converter topologies are compared based on switching losses and total harmonic distortion (THD). An Optimal topology is selected for VSC-HVDC system having minimum switching loss and harmonics. Algorithm based on decoupled current controller is employed to control both active and reactive power of VSC-HVDC in all the four quadrants. It is desirable to find the optimal value of PI controller parameters of VSC-HVDC system. It is very daunting task to find global optimal value of these parameters of PI controller using classical parameters tuning methods. Therefore a new approach based on Particle Swarm Optimization (PSO) algorithm is proposed to tune the gains of PI controllers. To verify the effectiveness of proposed method, its performance is compared with analytical method. Studies shows that the PSO algorithm based PI controller parameter tuning method given more optimized results.
Keywords :
HVDC power convertors; PI control; control system synthesis; electric current control; harmonic distortion; optimal control; particle swarm optimisation; power transmission control; reactive power control; PI controller parameter tuning method; PSO algorithm; THD; active power control; classical parameters tuning methods; converter topology; decoupled current controller; multilevel VSC-based HVDC system; multilevel voltage source converter-based HVDC system; optimal controller design; optimal topology; particle swarm optimization algorithm; reactive power control; switching loss; total harmonic distortion; HVDC transmission; Power conversion; Reactive power; Switching frequency; Tuning; Voltage control; HVDC; Multilevel Voltage Source Converter; PI Controller Tuning; Particle Swarm Optimization;
Conference_Titel :
Power Electronics, Drives and Energy Systems (PEDES), 2012 IEEE International Conference on
Conference_Location :
Bengaluru
Print_ISBN :
978-1-4673-4506-4
DOI :
10.1109/PEDES.2012.6484429