ISSN 1674-0629
CN 44-1643/TK
CN 44-1643/TK
Adaptive Distributed Intelligent Feeder Automation Based on Communication Quality Detection
Ming ZHANG , Guofang ZHU , Wenlu JI , Haitai ZHANG
›› 2017, Vol. 11 ›› Issue (11) : 61 -67.
Adaptive Distributed Intelligent Feeder Automation Based on Communication Quality Detection
Distributed feeder automation can significantly improve the self-healing speed of distribution network. However, it relies on real-time communication network, which becomes the key factor restricting the application of distributed feeder automation. This paper presents a method to adjust feeder automation(FA) strategy based on real-time quality of communication network. Through the real-time detection of communication quality, the feeder automation is realized in the most reliable way when communication is in good condition. When communication is unstable, the number of interactions is reduced to improve the self-healing speed; When communication does not meet the distributed FA conditions, local control method is adopted to ensure the reliability of distributed system application. This method overcomes the over-reliance of FA system on communication, extends the adaptability of FA in different communication quality and enhances the ability to cope with communication network failure.
distributed intelligent feeder automation(DIFA) / adjacent relationship / real-time / communication quality
the Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.(J2016041)
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