低压系统多层级短路电流早期检测与预测

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Abstract With development of selective protection technology,the range of selective protection should be extended from power supply side to terminal side. Considering the limitations of short-circuit selective protection in low-voltage system,a concept for a multi-level system with full range selective and coordinative protection technology is propound,both system architecture and key techniques to realize above concept are expound as well. Based on a practical low-voltage experimental system,a single-phase short-circuit fault model is established,which is applied to analyze short-circuit current waveforms for full phase angle range and their early short-circuit fault detection with wavelet transform(WT). With early short-circuit detection,the extreme learning machine(ELM) is brought into research peak prediction method. The practical system simulation and experimental results verify both early detection and current peak prediction to be effective for a low-voltage short-circuit fault,which lays a theoretical foundation for a new selective protection technology.

Key words： Low voltage system short-circuit fault multi-level selective protection peak prediction extreme learning machine

Received: 28 October 2013 Published: 22 January 2015

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	Miao Xiren
	Wu Xiaomei

Cite this article:

Miao Xiren,Wu Xiaomei. Early Detection and Prediction for Short-Circuit Current in a Multi-Level Low Voltage System[J]. Transactions of China Electrotechnical Society, 2014, 29(11): 177-183.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I11/177

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