基于量子粒子群混合算法的电力系统无功优化

针对传统粒子群算法在无功优化中易陷入局部最优和后期收敛慢等问题,提出了基于量子粒子群混合算法的无功优化计算方法.该算法将量子叠加态思想引入到粒子群算法中,使得单个粒子能表示更多的状态和量级,增加了种群的多样性;采用量子旋转门更新粒子的速度和位置,提高了收敛的速度.用该算法对IEEE 30节点系统进行无功优化计算,并与粒...

Reactive Power Optimization Based on Quantum Particle Swarm Optimization in Electrical Power System

For reactive power optimization, the traditional particle swarm optimization is easy to fall into local optimization and slow convergence at latter stage. In this paper, the quantum theory and particle swarm algorithm are combined to dispose nonlinear optimization model of reactive power optimization. The presented algorithm merges quantum state with particle swarm, thus one particle can be expressed as superposition of multi-state, which increasing the diversity of the population; the quantum logical gate is adopted to update the speed and position of particle so that the convergence rate of optimization is improved effectively. The proposed QPSO method is demonstrated and compared with PSO approach and GA approach on the standard IEEE 30-bus system, which reveal that the proposed method is efficient.