多方面改进的自动搜索断面
发布时间：2019-01-19 19:48
【摘要】：断面是电网的脆弱环节,而断面的识别通常依靠专家经验;针对此局限,提出了多方面改进的自动搜索断面法。首先基于电网分区原则对Louvain算法进行改进;进而采用改进后的算法对电网进行分区,将各区域之间的联络线作为初始断面;再根据支路开断分布系数、安全裕度等约束递进识别输电断面、关键断面。为高效计算断面热稳定极限,建立断面热稳定极限的数学模型。通过改进鸡群优化算法对该模型进行求解,得到断面传输极限,从而得到关键断面。在IEEE39节点系统验证了所提方法的有效性。
[Abstract]:The section is the weak link of the power network, and the identification of the section usually depends on the expert experience. In view of this limitation, a multi-aspect improved automatic search section method is proposed. Firstly, the Louvain algorithm is improved based on the principle of power grid partition, and then the improved algorithm is used to partition the power grid, and the tie lines between the regions are taken as the initial section. Then the key sections are identified by the constraints of branch breaking distribution coefficient, safety margin and so on. In order to calculate the thermal stability limit of the section, a mathematical model of the thermal stability limit of the section is established. The model is solved by the improved chicken swarm optimization algorithm, and the transmission limit of the section is obtained, and the key section is obtained. The effectiveness of the proposed method is verified in the IEEE39 node system.
【作者单位】： 四川大学电气信息学院;
【基金】：成都市科技项目(2015-HM01-00132-SF)资助
【分类号】：TM711
[Abstract]:The section is the weak link of the power network, and the identification of the section usually depends on the expert experience. In view of this limitation, a multi-aspect improved automatic search section method is proposed. Firstly, the Louvain algorithm is improved based on the principle of power grid partition, and then the improved algorithm is used to partition the power grid, and the tie lines between the regions are taken as the initial section. Then the key sections are identified by the constraints of branch breaking distribution coefficient, safety margin and so on. In order to calculate the thermal stability limit of the section, a mathematical model of the thermal stability limit of the section is established. The model is solved by the improved chicken swarm optimization algorithm, and the transmission limit of the section is obtained, and the key section is obtained. The effectiveness of the proposed method is verified in the IEEE39 node system.
【作者单位】： 四川大学电气信息学院;
【基金】：成都市科技项目(2015-HM01-00132-SF)资助
【分类号】：TM711
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