Fault Diagnosis of Multi-area Automatic Generation Control via Interval Observer Technique
| Autor: | Zu-rong Lin, Hai-feng Xu, Wen-xu Yan, Shen Xiang, Yi-wei Zhang, Hong-yu Ni |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Automatic Generation Control Observer (quantum physics) Computer science 020208 electrical & electronic engineering 02 engineering and technology Interval (mathematics) Residual Fault (power engineering) Communications system Fault detection and isolation Electric power system 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | 2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE). |
| DOI: | 10.1109/ichve49031.2020.9279463 |
| Popis: | To guarantee the stability and reliability of the multi-area interconnected power system under faults occur in communication system, this paper presents a fault diagnosis strategy based on interval observer for automatic generation control in power system. Interval observer for fault diagnosis is firstly introduced in order to detect the faults occur in communication system in different control areas. Then, the residual errors that can be used for detecting the fault are constructed by using the outputs of interval observers and those of system. Thus, the problems of fault detection based on interval observer are resolved. Finally, the simulation experiment by applying different faults in a three-areas interconnected power system is operated, and the simulation results prove the correctness and the effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
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