基于改进蚁群算法的智能配电网网格化规划方法研究

Research on Grid Planning Method of Intelligent Distribution Network Based onImproved Ant Colony Algorithm

为提高智能配电网规划能力,提出一种基于改进蚁群算法的智能配电网网格化规划方法。首先采用分块区域网格规划方法模拟智能配电网网格化参数,根据蚁群个体行为差异性定义节点规划度,再通过模板匹配和寻优得到节点部署模型。然后计算用户侧谐波阻抗实现智能配电网网格化规划过程的参数寻优,提高智能配电网网格化组合能力。在此基础上,建立谐波振荡的调制模型,在实现规划过程抗干扰抑制后,以谐波参数作为约束代价指标,在改进蚁群寻优控制下,实现智能配电网网格化规划设计。仿真实验结果表明,采用该方法实现配电网网格化规划后,配电网的输出稳定性较好,参数融合度水平较高。

In order to improve the planning ability of intelligent distribution networks,a grid planning method based on improved ant colony algorithm was designed.Firstly,the grid parameter of smart distribution networks is simulated by block area grid planning method,then the node planning degree is defined according to the ant colony individual behavior difference,and then the node deployment model is obtained by template matching and optimization.Then the user side harmonic impedance is calculated to optimize the parameters of the grid planning process of smart distribution networks and to improve the grid combination ability of smart distribution networks.On this basis,the modulation model of harmonic oscillation is established.After the antiinterference and suppression of the planning process is realized,the grid planning and design of intelligent distribution networks are realized under the improved ant colony optimization control by taking harmonic parameters as the constraint cost index.The simulation results show that the output stability of the distribution networks is better and the degree of parameter fusion is higher after the grid grid planning is realized by using this method.