Optimized control of multi-terminal DC GridsUsing particle swarm optimization
Document typeConference lecture
Rights accessRestricted access - publisher's policy
This paper addresses the important issue of Multi-Terminal DC (MTDC) grid control strategy based on the particle swarm optimization (PSO) technique. The MTDC grid is controlled by the concept of vector control, in which the AC currents and voltages are transformed into the rotating directquadrature (d-q) reference quantities which are subsequently used for decoupled control of the active and reactive powers as well as the DC and AC voltages. The paper employs an efficient PSO algorithm for optimal tuning of the controllers’ parameters in an MTDC grid. In addition, voltage droop control scheme is utilized to ensure the balance of active power within the MTDC grid. Simulation results that has obtained through detailed modeling of a four-terminal DC grid, demonstrate the efficiency of the proposed approach. Comparison to controllers optimized by genetic algorithm (GA) also confirmed the favorable performance of the proposed PSO-tuned controllers.
CitationRouzbehi, K. [et al.]. Optimized control of multi-terminal DC GridsUsing particle swarm optimization. A: European Conference on Power Electronics and Applications. "Proceeding of 15th European Conference on Power Electronics and Applications (EPE)". Lille: 2013, p. 1-9.