Power distribution network mesh topology identification method based on partial correlation analysis
An identification method and mesh topology technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve problems such as asynchrony, data loss, and voltage not independent of each other, and achieve the effect of eliminating errors and high accuracy
Pending Publication Date: 2022-01-07
TIANJIN UNIV
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In addition, the voltages of each node are not independent of each other, and the multicollinearity brought about by this will have a great impact on the performance of linear regression, and the ill-conditioned regression matrix will further affect the accuracy of the data-driven topology identification method
Finally, the above methods often require multiple types of data, namely active power, reactive power, voltage, phase angle data, the aggregation of these data may introduce data loss and asynchronous problems
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[0044] The present invention is described in detail below in conjunction with accompanying drawing:
[0045] Such as figure 1 As shown, the present invention provides a distribution network network topology identification method based on partial correlation analysis, including the following steps:
[0046] In a distribution network, the voltage and current of each node satisfy the node voltage equation
[0047]
[0048] Among them, I i is the injected current at node i, V iis the voltage on node i, N(i) represents the set of neighbor nodes of node i, V k (k∈N(i)) is the voltage on the neighbor node of node i, y ii ,y ik stand for self-admittance and mutual-admittance, respectively.
[0049] According to formula (1), V i by V k (k∈N(i)), I i The only certainty is that the three of them are linearly related. When a given V k (k∈N(i)) and I i when V i and are conditionally independent, that is, the voltages on non-connected nodes are essentially uncorrelated. T...
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The invention discloses a power distribution network mesh topology recognition method based on partial correlation analysis; the method comprises the steps: (1) recognizing a tree structure of a power distribution network: recognizing the tree structure of the power distribution network in polynomial time through employing a greedy algorithm-Prim algorithm based on a correlation coefficient matrix between node neighbors; (2) identifying a loop structure of the power distribution network: identifying the loop structure of the power distribution network by taking a branch neighbor as a control variable based on the condition that the voltage of a non-neighbor node of the power distribution network is conditionally independent when a neighbor node is given; (3), topology verification: based on a topology verification mechanism of a partial correlation coefficient between neighbor nodes, correcting a topology error and monitoring a topology real-time state. According to the method, on the basis of a linear node voltage equation, the essential correlation level between neighbor nodes is analyzed through a partial correlation method, various complex power distribution networks can be identified only through voltage amplitude data, and topological transformation of the power distribution networks can be monitored in real time.
Description
technical field [0001] The invention belongs to a power distribution system recognition method, in particular to a distribution network network topology recognition method based on partial correlation analysis. Background technique [0002] Accurate topology and line parameters are critical to distribution network operation, as this information is a prerequisite for advanced application analysis such as distribution network state estimation, optimal power flow, safety analysis, and fault location. Compared to transmission grids, distribution systems are more complex but have lower measurement redundancy. Moreover, its operation changes frequently due to maintenance and emergencies, and it is difficult to directly obtain its accurate topology in practice. In addition, distributed energy resources, controllable loads, and electric vehicles are being further integrated into the distribution network, which will lead to more frequent protection and switching actions, and their i...
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IPC IPC(8): G06F30/18G06F30/20G06F17/16H02J3/00G06F113/04
CPCG06F30/18G06F30/20G06F17/16H02J3/00H02J2203/20G06F2113/04
Inventor 王鹏刘艳丽
Owner TIANJIN UNIV