Online Monitoring of Power System Small Signal Stability Using Artificial Neural Networks
Conference: NEIS 2019 - Conference on Sustainable Energy Supply and Energy Storage Systems
09/19/2019 - 09/20/2019 at Hamburg, Deutschland
Proceedings: NEIS 2019
Pages: 6Language: englishTyp: PDF
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Authors:
Hotz, Christian; Becker, Christian (Institute of Electrical Power and Energy Technology (ieet) Hamburg University of Technology (TUHH), Harburger Schloßstr. 20, 21079 Hamburg, Germany)
Abstract:
Shifting paradigms in electrical power generation, transmission and consumption will affect system dynamics and may negatively influence its small signal stability in the long run. A smaller stability margin calls for smart methods to monitor the current state of the power system to be able to detect critical situations immediately. This paper proposes a method based on artificial neural networks that is capable of providing an online supervision service, which works in real-time due to its low demand for computational resources. Additionally, the requirements regarding system state information of such a monitoring system are investigated to assess the measurement and communication setup necessary for its proper functionality and thus its applicability to real power systems.