基于智能单粒子算法的含光伏电站配电网的无功优化

Reactive Power Optimization of Distribution System with Photovoltaic Power Station Based on Intelligent Single Particle Optimizer

将光伏电站的无功功率作为无功优化的控制变量,研究了含光伏电站配电网无功优化问题。智能单粒子算法采用了一个粒子在解空间中搜索,粒子的位置矢量被分成一定数量的子矢量,并基于子矢量对粒子进行更新。在子矢量更新过程中,通过分析之前的速度更新情况,引入一种新的学习策略,使粒子在搜索空间中能够动态地调整速度和位置,从而向全局最优靠近。将此算法用于无功优化,通过对改进的IEEE33节点系统的仿真计算,证明了所提算法的快速性和有效性。

This paper considers reactive power of PV station as reactive power optimization control variables, the reactive power optimization problem in distribution power system with photovohaie power station is discussed. Intelligent single particle optimizer （ISPO） applies a particle search in the problem space. The whole position vector of particle is split into a certain number of subvectors, and the particle is updated based on these subvectors. During the process of updating each subvector, a novel learning.strategy is introduced based on the analysis of previous velocity subveetors, and the particle adjusts its velocity and position subveetor dynamically, thus near to the global optimal. In this paper the proposed ISPO algorithm is applied to power system reactive power optimization. Simulation is carried out based on a modified IEEE 33-bus system, and the results validate the efficiency and quickness of the algorithm.