Online Detection and Quantification of Transient Instability using Lyapunov Exponents from PMU Data
North American Power Symposium(2018)
摘要
Lyapunov Exponents (LE) have been shown to be an effective tool in predicting short-term voltage instability in power systems by determining if their voltage trajectories indicate that a system is stable or unstable. This paper provides an improved LE algorithm for use in real-time streaming applications for short-term voltage instability detection. Additionally, this paper proposes three variants to the traditional LE calculation, which estimate the final value of the LE and accurately quantify the stability of a stable power system. The proposed modifications to the LE calculation are applied to voltages sampled at Phasor Measurement Unit (PMU) data rates. The streaming algorithm presented is used to activate a Battery Energy Storage System (BESS) to improve power system stability. Results are validated by using the IEEE 39 Bus model, a Duke Energy system model, and historical events recorded by Duke Energy PMUs.
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关键词
Lyapunov Exponent,Phasor Measurement Units,Power System Dynamics,Power System Stability,Battery Energy Storage Systems
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