Title :
An alarm management framework for self-healing smart distribution system
Author :
Kang Taifeng ; Ge Liang ; Tan Zhihai ; Zhao Fengqing ; Huang Hongyuan ; Peng Feijin ; Cao Zhihui ; Ouyang Qijian
Author_Institution :
Beijing Sifang Autom. Co., Ltd., Beijing, China
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.
Keywords :
SCADA systems; distribution networks; fault tolerant computing; DMS; SCADA; alarm management framework; distribution management systems; intelligent alarm processing; self-healing smart distribution system; supervisor control and data acquisition; Abstracts; Atomic measurements; Levee; Monitoring; complex event processing; intelligent alarm; self-healing; smart distribution system;
Conference_Titel :
Electricity Distribution (CICED), 2014 China International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICED.2014.6991713