Using a Neural Network to Predict the Dynamic Frequency Response of a Power System to an Under-Frequency Load Shedding Scenario

• Type: Article in International Conference Proceedings Book
• Date: 2000

Authors

Matthew A. Mitchell (Author) Other; João Peças Lopes (Author) FEUP; José Nuno Fidalgo (Author) FEUP; James D. McCalley (Author) Other

Conference proceedings International

Title: Proceedings of the 2000 IEEE Power Engineering Society Summer Meeting

Pages: 346-351

2000 IEEE Power Engineering Society Summer Meeting

Seattle, Washington, USA, 16 - JULHO - 2000

Other information

DOI: 10.1109/PESS.2000.867608

Abstract (EN): This paper proposes a method to quickly and accurately predict the dynamic response of a power system during an under-frequency load shedding scenario. Emergency actions in a power system due to loss of generation typically calls for under-frequency load shedding measures to avoid potential collapse due to the lack of time in which to correct the imbalance via other means. Due to the slow and repetitious use of dynamic simulators the need for a fast and accurate procedure is evident when calculating optimal load-shedding strategies. A neural network (NN) seems to be an ideal solution for a quick and accurate way to replace standard dynamic simulations. The steps taken to produce a viable NN and corresponding results will be discussed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6