带软开点的配电网主动可靠性评估的分块算法

Xiao Chen, Yuduo Zhao, W. Xiong, Xufeng Yuan, Xiaosong Zou
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引用次数: 0

摘要

随着软开点(SOP)在配电网各个环节的应用,将传统配电网的运行方式转变为柔性回路运行,不仅提高了系统运行的可靠性,也使可靠性评估变得更加复杂。因此,如何在兼顾速度和准确性的同时,对其可靠性进行评估就显得尤为重要。本文分析了柔性互联配电网的拓扑结构,提出了分区和块的概念。柔性互联配电网分为直流、交流和SOP三个区域。在划分的基础上,利用Dijkstra算法搜索最短的电路形成块,确定每个区域的块信息。然后根据各区域的不同特性,对交流区域采用时序蒙特卡罗模拟方法。采用故障树分析法对直流区域的微网阻塞和SOP进行分析。然后通过在块联接矩阵中搜索故障块对应的线路中非零元素的位置来确定负荷中断范围,从而得到系统的负荷点和可靠性指标。最后,以IEEE-33节点为例,通过算法分析和可靠性对比分析,验证了所提方法在多场景下的适用性、准确性和效率。
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Partition and Block Algorithm for Active Distribution Network Reliability Evaluation with a Soft Open Point
With the application of Soft Open Point (SOP) in all aspects of distribution system, the operation mode of traditional distribution network is changed into flexible loop operation, which not only improves the reliability of system operation, but also makes the reliability evaluation more complex. Therefore, how to give consideration to the speed and accuracy, and at the same time, how to evaluate its reliability becomes particularly important. In this paper, the topology of the flexible interconnected distribution network is analyzed, and the concept of partition and block is proposed. The flexible interconnected distribution network is divided into three areas: DC, AC and SOP. On the basis of the partition, Dijkstra algorithm is used to search the shortest circuit to form the block, and the block information of each area is determined. Then sequential Monte Carlo simulation method is adopted for AC region according to the different characteristics of each region. Fault tree analysis method is adopted for the block of micro grid and SOP in DC region. Then the load outage range is determined by searching the position of non-zero element in the line corresponding to the fault block in the block join matrix so as to obtain the load point and the reliability index of the system. Finally, the applicability, accuracy and efficiency of the proposed method are verified through algorithm analysis and reliability comparison analysis in the case of IEEE-33 node in multiple scenarios.
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