What is it about?
This new method which is shown in a simple algorithm can be used for probabilistic analysis of power system. Considering the uncertain parameters of power system make the model more actual and our calculation more accurate. For this purpose uncertainties to be modeled in the problem and probabilistic analysed to be used. The proposed method is used in this paper for probabilistic power flow in presented cases and results confirm the efficient action of it even in complicated and huge systems.
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Why is it important?
As shown in the paper the proposed method works well in probabilistic analysis of huge systems with a lot of uncertainties. Most of the methods are diverge in huge probabilistic problems, extremely time consuming or have a low accuracy results. Results confirm the high accuracy level and speed of the proposed method against the others.
Perspectives
I hope this article be found so useful in probabilistic analysis in power system. Because of the ability and flexibility of the proposed method, it can be used in future studies for other probabilistic analyses of power systems such as energy management problems and complicated probabilistic cases.
Abolfazl Kazemdehdashti
Shiraz University
Read the Original
This page is a summary of: Application of Generalized Cross-Entropy Method in Probabilistic Power Flow , IET Generation Transmission & Distribution, March 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-gtd.2017.1892.
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