A Steady-state Alarm Analysis Approach Base on Finite Automata and Moving Window Algorithm
| Autor: | Rui Wang, Hongxing Cen, Yang Zhe, Jie Ma, Guo Yaosong, Fanjun Guan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Electric power system
ALARM Steady state (electronics) Finite-state machine Computer science 020209 energy SIGNAL (programming language) Real-time computing 0202 electrical engineering electronic engineering information engineering Fault tolerance 02 engineering and technology State (computer science) Grid |
| Zdroj: | 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). |
| DOI: | 10.1109/ei247390.2019.9062099 |
| Popis: | Owing to a great variety of unprocessed and unanalyzed signal in the power system operation, the dispatchers face challenges from the high-intensity work, meanwhile, which brings security risks. Aiming at this phenomenon, this paper proposes a power system steady-state Alarm Analysis Approach base on Finite automata and Moving window (A3FM). The A3FM model is designed to describe the transition of power network state, and real-time analysis of power system steady-state alarm. The practical application shows that A3FM can discriminate the target signal sequence, analyze the grid operation in real time and have the certain capacity of fault tolerance. It provides the basis for real-time power grid status monitor and operation decision. On this basis, it improves the security of power grid by reducing the risks of manual operation mistakes in high pressure. |
| Databáze: | OpenAIRE |
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