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纸质出版:2021
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李欣. 考虑多种运行状态的台区拓扑辨识[J]. 四川电力技术, 2021,44(4):20-26.
Li Xin. Topology Identification of Power Distribution Area with Multi-operation Conditions[J]. 2021, 44(4): 20-26.
李欣. 考虑多种运行状态的台区拓扑辨识[J]. 四川电力技术, 2021,44(4):20-26. DOI:
Li Xin. Topology Identification of Power Distribution Area with Multi-operation Conditions[J]. 2021, 44(4): 20-26. DOI:
由于供电可靠性的要求提高,以及用电用户的增加,导致配电网的规模和复杂程度不断加大,增大了配电网拓扑的难度与时间。因此,为了加快拓扑的速度,本文提出一种改进矩阵算法,将拓扑分为全局拓扑、局部拓扑,并对两种拓扑分别进行改进。针对全局拓扑,对邻接矩阵使用节点消去法,对连通矩阵直接使用行扫描法,以及对关联矩阵使用两次节点消去法,形成局部拓扑关联矩阵;全局拓扑后,针对变位断路器,进行局部拓扑,首先根据遥信变化,获知网络中哪些断路器发生变位,再根据局部拓扑关联矩阵,得到变位断路器与局部网络节点的连接情况,最后根据这些信息,对连通矩阵进行局部修改,再进行矩阵的行扫描、母线分析和电气岛分析,就可以得到网络的局部拓扑,进而反映网络的全局拓扑。该方法的可靠性高,适用范围广,并且可以充分提高拓扑计算的效率。
Due to the improvement of power supply reliability and the increase of power users
the scale and complexity of distribution network are increasing
which increases the difficulty and time of distribution network topology. Therefore
in order to speed up the topology identification
an improved matrix algorithm is proposed
which divides the topology into global topology and local topology
and improves the two topologies respectively. For global topology
node elimination method is used for adjacency matrix
row scanning method is used for connected matrix
and twice node elimination method is used for incidence matrix to form local topology correlation matrix. After global topology
local topology is carried out for displacement switch. Firstly
according to the change of remote signal
it is known which switches in the network are shifted
and then according to local topology correlation matrix
the connection relationship between displacement switches and local network nodes is obtained. Finally
according to these information
the connection matrix is modified locally
and then the line scanning
bus analysis and electrical island analysis of the matrix are carried out to obtain the local topology of the network
which reflects the global topology of the network. The proposed method has a high reliability and wide application range
and can fully improve the efficiency of topology identification.
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