Method for enhancing power grid system robustness through link switching state optimization

A technology of system robustness and switch state, which is applied in the research field of complex network robustness, and can solve problems such as inaccuracy and insufficient conclusions

Inactive Publication Date: 2016-11-02
嘉兴国电通新能源科技有限公司 +2
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If the robustness is only analyzed on the topological characteristics of

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  • Method for enhancing power grid system robustness through link switching state optimization
  • Method for enhancing power grid system robustness through link switching state optimization
  • Method for enhancing power grid system robustness through link switching state optimization

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Embodiment Construction

[0043] In order to make the purpose and effect of the present invention more clear, the following analyzes how to improve its robustness from the perspective of a complex network for the actual power grid IEEE118 (IEB) network.

[0044] Such as figure 1 As shown, the IEB network has 118 nodes and 179 edges. In order to simplify the problem and eliminate the influence of other factors on the network robustness, it is assumed that the voltage of the power station and the current consumed by the power station are both one unit, and the admittance of each transmission link is set to 11 units. In the following analysis, the present invention always considers the worst case, that is, the initial target attacked in the network is the edge with the largest initial load in the network.

[0045] Based on the admittance model proposed in the literature [GraingerJ J, Stevenson W D. Power system analysis [M]. McGraw-Hill, 1994.], the present invention considers an improved model, so that ...

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Abstract

The invention discloses a method for enhancing power grid system robustness through link switching state optimization. According to the method, an appropriate network protection strategy is designed for the cascade failure phenomenon from the perspective of a complex network. Firstly a model of combination of electronic properties and network topology information is established; then cascade failure propagation is suppressed by using the protection strategy of cutting off the corresponding link so that damage of cascade failure to a power grid can be reduced, a situation that the number of the cut-off link is enabled not to be high in actual operation is considered and a power grid link state control problem is converted into a multi-target optimization problem; and finally the multi-target optimization problem is solved by using a non-dominated sorting binary differential evolution algorithm, and the switching state of each link of the power grid is controlled according to the optimal link scheme. The electronic properties of the power grid are considered, the network protection strategy of cutting off the appropriate link is used, and robustness of the power grid can be enhanced under the condition of few cut-off links so that damage of cascade failure to the power grid can be effectively reduced.

Description

technical field [0001] The invention relates to the field of research on the robustness of complex networks. Specifically, the evolutionary algorithm is used to optimize the switching state of the link, thereby improving the robustness of the power grid system. Background technique [0002] Modern society increasingly relies on large-scale infrastructure to transfer resources to consumers and enterprises in an efficient manner. Our life is also full of various complex networks. Communication networks, power networks, transportation networks, etc. are all related to our Production and life are closely related. It is precisely because of people's increasing dependence on these infrastructures that they often operate under a high-load state, which makes network members extremely vulnerable to external natural disturbances or deliberate attacks. Whether one or a part of nodes in the network fails due to internal structure or external interference, it will change the structure ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50Y02E40/70
Inventor 涂海程陈志勇史清江齐世强潘博
Owner 嘉兴国电通新能源科技有限公司
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