基于改进粒子群算法的含DG配电网无功优化

含分布式电源(DG)配电网的无功优化是一个复杂的非线性优化问题,文中采用改进的粒子群算法(PSO)对配电网进行无功优化计算,建立以系统网损和电压平均偏离最小为目标函数,节点电压和电容器投切容量为约束条件的优化模型。在PSO中引入位置方差防止PSO陷入局部最优解,根据种群中粒子的适应度值对粒子进行变异处理,在保证算法收敛速度的基础上,改善算法性能。以含分布式电源的IEEE14节点配电系统为例进行无功优化分析,结果表明DG能增强电网运行的稳定性,所提算法具有较好的优化性能。

Reactive Power Optimization of Distribution Network With Distributed Generation Based on Improved Particle Swarm Optimization Algorithm

Reactive power optimization in distributed network with distributed generation is a complex nonlinear optimization problem.In this paper,the improved particle swarm optimization algorithm is used for the reactive power optimization of distribution network.The optimization model is established with the minimum system loss and average deviation of voltage as the objective function and the node voltage and capacitor switching capacity as the constraints.The position variance is introduced into the particle swarm optimization to prevent the particle swarm algorithm from falling into the local optimal solution.The particle is mutated according to the fitness value of the particle in the population,and the performance of algorithm is improved on the basis of guaranteeing the convergence speed of the algorithm.IEEE14 node distribution system with distributed generation as an example is simulated,the results demonstrate that distributed generation can enhance the stability of the power grid and the algorithm has better optimization performance.