Two-stage initiative separation method based on normalized spectral clustering and constrained spectral clustering

A spectral clustering algorithm and spectral clustering technology, applied in the field of power system security technology and power system emergency control, can solve the problems of ignoring generator synchronization constraints, asynchronous generators, and no effective algorithm.

Active Publication Date: 2011-11-16
SHANDONG UNIV
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Problems solved by technology

The three main issues related to active declassification are: 1) whether and when to declassify (decommissioning criteria and timing issues); 2) where to declassify (determine the declassification strategy); Emergency control measures within silos
[0007] Since solving the minimum active power imbalance problem is an NP-hard problem, it means that there is no efficient algorithm in polynomial time [Reference 1]
Neglecting the synchronization constraints of generators, the obtained solution may contain out-of-synchronization generators, which cannot form a stable island operation

Method used

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  • Two-stage initiative separation method based on normalized spectral clustering and constrained spectral clustering
  • Two-stage initiative separation method based on normalized spectral clustering and constrained spectral clustering
  • Two-stage initiative separation method based on normalized spectral clustering and constrained spectral clustering

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Embodiment Construction

[0160] figure 2 Among them, the method of the present invention is:

[0161] In the first stage, the dynamic graph G is constructed based on the linearized dynamic model of the power system D ; This graph contains only generator nodes, whose edges are weighted by the synchronization coefficient Represents the dynamic coupling between nodes i and j; use the normalized spectral clustering algorithm to segment the dynamic graph, and find the formula

[0162] [ V G 1 * , V G 2 * ] = arg min V G 1 , V G 2 ⋐ V ...

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Abstract

The invention discloses a two-stage initiative separation method based on normalized spectral clustering and constrained spectral clustering. The method comprises the steps of: in the first stage, recognizing coherent generator groups by using normalized spectral clustering and forming pairwise constraints by using the coherent generator groups; and in the second stage, finding separation sections satisfying the pairwise constraints and with the minimum active power flow shock by using constrained spectral clustering. When a system needs to be separated into a plurality of islands, a recursive bisection method can be adopted. The algorithm provided by the invention takes two factors, i.e., generator coherency and the minimum active power flow shock, into account, and the initiative separation problem can be calculated in real time without simplifying system topology.

Description

technical field [0001] The invention belongs to the field of power system safety technology and power system emergency control. Background technique [0002] Affected by factors such as the rapid growth of electricity load, the integration of large-capacity new energy generation into the grid, and the reform of the electricity market, the operating point of the large-scale interconnected grid is getting closer and closer to its operating limit. In this case, the safety and stability margin of the power grid is reduced. When serious disturbances or faults occur, if effective measures cannot be taken in time, the accident may expand and the entire power system may collapse, such as the blackout in the United States and Canada in 2003 and the Europe "11.4" blackout. [0003] Active delisting based on the wide-area measurement system When the system is severely disturbed and cannot continue to operate completely, the system is delisted into multiple independent operating island...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38
Inventor 丁磊
Owner SHANDONG UNIV
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