Journal of Guangxi Normal University(Natural Science Edition) ›› 2017, Vol. 35 ›› Issue (1): 1-6.doi: 10.16088/j.issn.1001-6600.2017.01.001

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Research on the Strategy of Fault Generator Recovery Based on the Dynamics in the Power Grid

XIE Rong, ZOU Yanli, FU Jie   

  1. College of Electronic Engineering,Guangxi Normal University, Guilin Guangxi 541004, China
  • Online:2017-01-20 Published:2018-07-17

Abstract: When a generator breaks down in the power grid, the fault generator can not provide power for the power grid, which may lead to cascading overload of other generators and affect the normal operation of the entire power grid. In this paper, the class Kuramoto model is applied to propose a stratege of power recovery by removing load nodes according to the degree of vulnerability, when a generator breaks down in the power grid. The study also compares the effects of removing the nodes with large degree of vulnerability and removing the nodes with small degree of vulnerability on the network performance. It is shown that when a node with small degree of vulnerability is removed, the critical coupling strength Kc of the remaining subsystems is smaller, the maximum absolute value of node frequency offset |Δw|max is smaller and the minimum load disturbance intensity ΔPmin of the remaining system is larger than those, when a node with large degree of vulnerability is removed. Therefore, when a generator breaks down in the power grid, in order to make the power grid restore to steady-state, using this method can effectively eliminate the fault.

Key words: class Kuramoto model, degree of vulnerability, network performance, critical coupling strength, minimum load disturbance intensity

CLC Number: 

  • TM711
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