Reactive Power Optimization Algorithm of Active Distribution Network Based on Improved Quantum Particle Swarm Optimization

Abstract

The particle swarm optimization (PSO) algorithm is prone to local optimal position in the late iteration when solving the reactive power optimization problem of active distribution network. Aiming at the above problems, a reactive power optimization algorithm, improved quantum particle swarm optimization (IQPSO), is proposed in this paper. Based on quantum particle swarm optimization (QPSO) algorithm, the inverse point of worst particle position in the iteration process is introduced into the update formula of particle position, which makes the particle jump out of the local optimal position constraint in the iterative process. In this paper, an optimization model is established with the aim of minimum voltage deviation and system loss in a typical 34 node system, and the effectiveness of proposed method is verified by comparing with QPSO.