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Infrastructure Resilience Conference 2018

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Identifying Critical Risk of Cascading Failures in Power Systems

Potential critical risk of cascading failures in power systems can be identified by exposing those critical electrical elements on which initial disturbances may cause maximum disruption to power transmission networks. In this work, we investigate cascading failures in power systems described by the direct current (DC) power flow equations, while initial disturbances take the form of altering admittance of elements. The disruption is quantified with the remaining transmission power at the end of cascading process. In particular, identifying critical elements and corresponding initial disturbances causing the worst-case cascading blackout is formulated as a dynamic optimisation problem (DOP) in the framework of optimal control theory, where the entire propagation process of cascading failures is put under consideration. The identifying critical risk algorithm (ICRA) based on the maximum principle is proposed to solve the DOP. Simulation results on the IEEE 9-Bus and the IEEE 14-Bus test systems are presented to demonstrate the effectiveness of the algorithm. The efficient identification of critical risk may help power systems planners to improve system resilience. The research work will be extended to include identifying critical risk as disturbances to network nodes and other mechanisms such as generator tripping, load shedding and voltage collapse and so on. In a longer term, we shall take into account the case of protection and recovery while identifying the worst cases.

Hehong Zhang
Future Resilient Systems, Singapore-ETH Centre, CREATE Tower, Singapore
Singapore

Chao Zhai
Future Resilient Systems, Singapore-ETH Centre, CREATE Tower, Singapore
Singapore

Xiaoxi Gao
School of Electrical and Electric Engineering, Nanyang Technological University, Singapore
Singapore

Tso-Chien Pan
Institute of Catastrophe Risk Management, Nanyang Technological University, Singapore
Singapore

 

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