1. An alarm management framework for self-healing smart distribution system
- Author
-
Ge Liang, Ouyang Qijian, Cao Zhihui, Tan Zhihai, Huang Hongyuan, Zhao Fengqing, Kang Taifeng, and Peng Feijin
- Subjects
Engineering ,Supervisor ,Event (computing) ,business.industry ,Complex event processing ,Distribution management system ,Manual fire alarm activation ,Computer security ,computer.software_genre ,ALARM ,SCADA ,Alarm management ,business ,computer - Abstract
In modern distribution system high efficient, clean, reliable and flexible electricity energy is required to supply to customers. Self-healing distribution network has been raised as one of the most emerging and significant characters for such smart distribution system to cope with all kinds of threatens from inside and outside of the system. Events and alarms are the bases for system status comprehend and decision making. Alarm management is a traditional feature of Supervisor control and data acquisition (SCADA) and distribution management systems (DMS), and key feature for smart self-healing distribution system as intelligent alarm. When events occur in distribution system, too many alarms rush to control center. The alarms are separated and maybe suspicious preventing the understanding of the whole event. In this paper, an alarm management framework is proposed for intelligent alarm processing. Firstly the events and alarms for self-healing smart distribution system are categorized. Then a complex event processing based intelligent alarm processing method is proposed for effective management alarms and events. Finally, example is shown based our framework. and the advantage of alarm management is illustrated. The alarm management framework can not only recognize the event sequence, providing effective intelligent alarm, but also reduce the amount of alarms to process by system operators. facilitating decision making.
- Published
- 2014