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

Personal VDE Members are entitled to a 10% discount on this title

Hotz, Christian; Becker, Christian (Institute of Electrical Power and Energy Technology (ieet) Hamburg University of Technology (TUHH), Harburger Schloßstr. 20, 21079 Hamburg, Germany)

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.