What is it about?
A power grid can function in various states, but some of these are safer than others. The risk associated with each potential condition that deviates from normal needs to be assessed. We tackle this in a novel way, using statistical analyses capable of capturing dynamic probabilities that change as a cascading power failure progresses.
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Why is it important?
If we know how to quantify the risk, we should also be able to estimate how fast we have to return to the normal state and how to optimize the cost related to the necessary actions.
Perspectives
I am sure that future energy management systems will include more and more stochastic elements as the penetration of RES is growing as well as complexity of grid devices. Hence, the accuracy of risk estimation becomes an important factor for the system planner or operator. That is why I see the growing market for solutions similar to those described in the paper.
Karol Wawrzyniak
National Centre for Nuclear Research
Read the Original
This page is a summary of: Methodology of Risk Assessment and Decomposition in Power Grid Applications , IET Generation Transmission & Distribution, May 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-gtd.2017.1731.
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