基于改进简化粒子群算法的含DG的配电网无功优化

Reactive Power Optimization of the Distribution Network With Distributed Generation Based on Improved Simple PSO Algorithm

分布式电源(Distributed Generation,DG)并网能够有效支撑电网,增加电网运行的灵活性,对含DG的配电网进行无功优化能够有效提高电能质量,降低网损,保证配电网安全、稳定、经济运行。为此,建立了以有功网损最小为目标函数的数学模型,同时,为保证节点电压和DG无功出力在各自允许范围内,分别建立了节点电压越限罚函数和DG无功出力越限罚函数。针对基本粒子群算法易早熟、收敛精度差、迭代后期收敛速度慢等问题,给出了一种惯性权重和学习因子动态变化的简化粒子群算法。该算法舍去粒子速度项,使惯性权重随迭代次数呈指数函数变化,学习因子随迭代次数呈正弦函数变化。以含DG的IEEE33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。

Power Grid can be effectively supported by Distributed Generation,thus the flexibility of grid can be increased. The reactive power optimization for distribution network with DGs can improve the quality of supply power,reduce power loss and ensure the security,stability and economy of the distribution network. For this purpose,Objective function is established to minimize the active power loss,at the same time,in order to enable the bus voltage and reactive power of DGs in the allowed arrange,the over- limit penalty functions of the bus voltage and reactive power of DGs are established,respectively. To overcome the problems of basic particle swarm algorithm such as premature,bad convergence precision,final slow convergence rate,a simple particle swarm algorithm（ WCSPSO） using dynamically changing inertia weight and learning factors is proposed. The particle velocity is discarded in the algorithm,meanwhile,the inertia weight is exponentially changed and learning factors is changed according to trigonometric function.IEEE33 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.