Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 68, Issue 1, Pages 519-531Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2020.2965455
Keywords
Big data analytics; oscillation analysis; oscillation damping; oscillatory stability; phasor measurement unit (PMU); renewable energy sources (RESs); smart grids; synchrophasor
Categories
Funding
- Australian Research Council (ARC) [DP170102303]
- National Natural Science Foundation of China [51807171]
- Hong Kong Research Grant Council [15200418]
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The article reviews the state-of-the-art oscillatory stability monitoring, analysis, and control techniques based on synchrophasor technology, emphasizing oscillations induced from PEC-interfaced renewable energy generation. While oscillatory stability analysis techniques using synchrophasor technology are well established in power system engineering, further research is needed to effectively utilize this technology to address PEC-induced oscillations. New big data analytics techniques could potentially be used on synchrophasor data streams to develop oscillatory stability monitoring, analysis, and damping techniques.
Oscillatory stability has received immense attention in recent years due to the significant increase in power electronic converter (PEC)-interfaced renewable energy sources. Synchrophasor technology offers superior capability to measure and monitor power systems in real time, and power system operators require better understanding of how it can be used to effectively analyze and control oscillations. This article reviews state-of-the-art oscillatory stability monitoring, analysis, and control techniques reported in the published literature based on synchrophasor technology. An updated classification is presented for power system oscillations with a special emphasis on oscillations induced from PEC-interfaced renewable energy generation. Oscillatory stability analysis techniques based on synchrophasor technology are well established in power system engineering, but further research is required to effectively utilize synchrophasor-based oscillatory stability monitoring, analysis, and control techniques to characterize and mitigate PEC-induced oscillations. In particular, emerging big data analytics techniques could be used on synchrophasor data streams to develop oscillatory stability monitoring, analysis, and damping techniques.
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