Reactive power optimization of low voltage distribution network based on improved particle swarm optimization

Particle Swarm Optimization (PSO) has been widely used in the reactive power optimization of distribution networks, and the basic PSO algorithm takes too long time to solve the reactive power optimization problem of low voltage distribution network with multiple constraints. To solve this problem, a scheme of reactive power optimization for low-voltage distribution network using improved particle swarm optimization has been proposed. Improved particle swarm optimization dynamically classifies the particles according to constraints that voltage of each node is qualified, the reactive power compensation capacity of each node does not exceed the preset value and the total reactive power of the system is compensated rationally by roulette. The voltage and reactive power optimization scheme proposed in this paper combines the decentralized parallel capacitor with the voltage regulation of the distribution transformer. Compared with the centralized reactive power compensation method, the node voltage deviation of the scheme proposed is smaller.