基于改进粒子群算法的含光伏并网的电网无功优化

Reactive Power Optimization of Photovoltaic Grid-connected Distribution Network Based on Improved PSO Algorithm

为以最节省的方式投资无功设备、减小系统网损、保证配电网运行的经济性,研究了含光伏并网的配电网无功优化算法。以系统总有功网损为目标函数,以节点有功功率、无功功率以及电压为约束条件,进行含光伏并网的配电网无功优化建模。采用一种改进的粒子群算法,使惯性权重因子在迭代过程中线性下降,平衡局部搜索能力与全局搜索能力之间的矛盾,使得算法能快速准确地找到最优解。以IEEE33节点系统为例进行仿真分析,仿真结果证明了提出的算法可以减少无功装置的投资,验证了所提算法的有效性。

The reactive power optimization algorithm of photovoltaic grid-connected distribution network is studied,in order to invest reactive power compensation device in the most economical way,reduce system loss and ensure the economic operation of distribution network. The total active network loss of the system is the objective function;the node active power, reactive power and voltage are the constraints. Then the reactive power optimization model of the distribution network with photovoltaic grid-connection is carried out. An improved particle swarm optimization algorithm is used to make the inertia weighting factor decrease linearly in the iterative calculation,balancing local search ability and global search ability so that the algorithm can find the optimal solution more quickly and accurately. Taking IEEE33 node system as a study case,the simulation results show that the proposed algorithm can reduce the investment of reactive devices and verify the effectiveness of the proposed algorithm.