DocumentCode :
3330159
Title :
Advanced Alarm Processing Facilities Installed on Eskom´s Energy Management System
Author :
Candy, Richard ; Taisne, Jacques
Author_Institution :
Eskom Transm. Syst. Oper. Dept., Germiston
fYear :
2007
fDate :
16-20 July 2007
Firstpage :
1
Lastpage :
8
Abstract :
Eskom\´s Transmission division is commissioning a new Energy Management System (EMS) known as TEMSE. This EMS included requirements for advanced alarm processing facilities and enhanced Human Machine Interface functionality. The requirements covered alarm data reduction and the provision of "what-happened" explanations following a disturbance on the power system. The implemented functionality uses a model based pattern recognition algorithm provided by AREVA\´s Intelligent Alarm Processing application (IAP). The "what-happened" explanations use association tables based on embedded expert knowledge and the current states of the SCADA system to explain what happened following an event. This paper discusses the operation of both the intelligent alarm processor and the "what-happened" applications that perform the task of reducing operator overloading and providing clear explanations of what occurred during disturbances on Eskom\´s transmission system.
Keywords :
SCADA systems; data reduction; energy management systems; expert systems; power engineering computing; transmission networks; user interfaces; AREVA; Eskom; SCADA system; advanced alarm processing facilities; alarm data reduction; energy management system; expert knowledge; human machine interface; operator overloading; pattern recognition algorithm; transmission division; Africa; Control systems; Energy management; Humans; Medical services; Power system control; Power system interconnection; Power system modeling; Power systems; Voltage control; EMS; Intelligent Alarm Processing; SCADA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Conference and Exposition in Africa, 2007. PowerAfrica '07. IEEE
Conference_Location :
Johannesburg
Print_ISBN :
978-1-4244-1477-2
Electronic_ISBN :
978-1-4244-1478-9
Type :
conf
DOI :
10.1109/PESAFR.2007.4498090
Filename :
4498090
Link To Document :
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