Title :
Parameters Optimal Design of HVDC PI Controller Based on APSO Algorithm
Author :
Zhang, Yu ; Liu, Chongru
Author_Institution :
State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
Abstract :
For the disadvantages of the traditional PSO algorithm, which global optimum and convergence speed and accuracy are difficult to take into account together, proposed an adaptive PSO algorithm using a inertia weight factor, and applied it to the PI controller parameters of HVDC optimization design to CIGRE Benchmark Model as an example, according to its structure and its electrical parameters, deduced rectifier constant current control system transfer function expression, and calculate the value of the PI parameters with adaptive particle swarm optimization, simulation results show that the proposed method is effective and practical.
Keywords :
HVDC power transmission; PI control; electric current control; particle swarm optimisation; power transmission control; rectifiers; APSO algorithm; CIGRE benchmark model; HVDC PI controller; HVDC optimization design; PI parameters; adaptive PSO algorithm; adaptive particle swarm optimization; convergence speed; electrical parameters; global optimum; inertia weight factor; parameters optimal design; rectifier constant current control system; structure parameters; traditional PSO algorithm; transfer function expression; Control systems; Current measurement; HVDC transmission; Optimization; Particle swarm optimization; Rectifiers; Transfer functions;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307585