Real-Time Implementation of Short-Term Voltage Stability Prediction Scheme

被引:0
|
作者
Dharmapala, Kalana [1 ]
Rajapakse, Athula [1 ]
Zhang, Yi [2 ]
机构
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 2N2, Canada
[2] RTDS Technol Inc, Winnipeg, MB, Canada
关键词
Machine learning; real-time monitoring; short-term voltage stability; synchrophasor technology; time-series clustering;
D O I
10.1109/POWERTECH55446.2023.10202884
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A pre-identified voltage template based Short-term Voltage Stability (SVS) assessment scheme is implemented on a real-time platform to verify the operational accuracy by mitigating practical issues such as Phasor Measurement Unit (PMU) data losses. This system is implemented on a supervisory level computer with the aid of synchrophasor application platform called PhasorSmart (R). The real-time voltage magnitudes required to mimic power system operational conditions are provided through a Real-time Digital Simulator (RTDS (R)). The IEEE Nordic 32 bus system is simulated, and the real-time voltage magnitudes are published through synchrophasor protocol. The data received at the supervisory-level computer is then fed to the PhasorSmart (R) platform where proposed scheme is programmed using C++. Finally, performance of the proposed SVS prediction schemes under practical operational scenarios is analyzed and validated.
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页数:7
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