Multi-power Quality Controller Coordination Control Based on Multi-objective Particle Swarm Optimization

Abstract

In a distribution network system with multiple power quality controllers, the control effect of each power quality controller is to ensure that the power quality of the access node can reach the expected goal, but due to the interaction effect between the power quality controllers, power quality controllers adopted in the local control of calculated to adjust instruction, unable to realize multiple nodes distribution system power quality at the same time to reach the expected aim. In this paper, for IEEE 33-node standard distribution network system, the nodes contraction method is firstly adopted to eliminate irrelevant nodes, the expression of interaction effect mechanism between power quality controllers is derived, and the relative gain system matrix (RGA) is introduced to quantitatively analyze the degree of interaction effect between controllers Then USES the master-slave control structure with central controller, selection of multi-objective particle swarm optimization (MOPSO) applied to the central controller of the coordinated control calculation, through multi-objective particle swarm optimization algorithm to get a group can make the distribution network system in the assessment of more nodes at the same time to achieve the desired effect of optimal solution set, and then by the central controller according to the optimal solution set distribution adjust instruction to the assessment of each node power quality controller is carried out. PSCAD simulation results show that the coordinated control effect is good.