A DC optimal power flow approach to quantify operational resilience in power grids

Zaman, Zarif Ahmet and Patelli, Edoardo; Matos, José C. and Lourenço, Paulo B. and Oliveira, Daniel V. and Branco, Jorge and Proske, Dirk and Silva, Rui A. and Sousa, Hélder S., eds. (2021) A DC optimal power flow approach to quantify operational resilience in power grids. In: 18th International Probabilistic Workshop, IPW 2020. Lecture Notes in Civil Engineering . Springer, Virtual, Online, pp. 55-65. ISBN 9783030736163 (https://doi.org/10.1007/978-3-030-73616-3_4)

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Abstract

The primary objective of resilience engineering is to analyse and mitigate the risk of a system once a vulnerability has been triggered by an attack. Resilience is a multidimensional concept in the field of engineering and incorporates restoration in the form of a performance and time. Nodal restoration is a key factor in the analysis of resilience in systems, and the properties of the nodes can be analysed to assess the states on the system. The model proposed for the power grid to demonstrate the failure of the network has been used to simulate probability of contingencies on the system and applies a Sequential Monte Carlo simulation to simulate the energy supplied. Additionally, a weather model incorporating the effects of both severe winds and lightning storms has been applied to act as a trigger to the contingency. Once failure of one component has occurred, it cannot be repaired until the network’s performance reaches zero. Given failure of all components, the network will immediately start its restoration phase, and using the same algorithm for optimal power flow calculations, a DC power flow approach is implemented to assess the energy supplied to the whole network in a transient model until the network’s loads meet the demand criteria completely.

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