DOI:10.1007/s40565-018-0407-3 |
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Modeling cascading failures and mitigation strategies in PMU based cyber-physical power systems |
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Net amount: 808 |
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Author:
Yuqi HAN1, Chuangxin GUO1, Shiying MA2, Dunwen SONG2
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Author Affiliation:
1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
2.China Electric Power Research Institute, Beijing 100192, China
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Foundation: |
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Abstract: |
This paper presents a model of cascading failures
in cyber-physical power systems (CPPSs) based on an
improved percolation theory, and then proposes failure
mitigation strategies. In this model, the dynamic development
of cascading failures is divided into several iteration
stages. The power flow in the power grid, along with the
data transmission and delay in the cyber layer, is considered
in the improved percolation theory. The interaction
mechanism between two layers is interpreted as the
observability and controllability analysis and data update
analysis influencing the node state transformation and
security command execution. The resilience indices of the
failures reflect the influence of cascading failures on both
topological integrity and operational state. The efficacy of
the proposed mitigation strategies is validated, including
strategies to convert some cyber layer nodes into autonomous
nodes and embed unified power flow controller
(UPFC) into the physical layer. The results obtained from
simulations of cascading failures in a CPPS with increasing
initial failure sizes are compared for various scenarios.
Dynamic cascading failures can be separated into rapid and
slow processes. The interdependencies and gap between
the observable and controllable parts of the physical layer
with the actual physical network are two fundamental
reasons for first-order transition failures. Due to the complexity
of the coupled topological and operational relations
between the two layers, mitigation strategies should be
simultaneously applied in both layers. |
Keywords: |
Cyber physical power system, Cascading
failure, Improved percolation theory, Interdependent
network, Mitigation strategy |
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Online Time:2018/09/22 |
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