Abstract
Laws of traveling wave data related to fault location for medium voltage distribution network are discussed and summarized. Given the tree structure of a distribution network, an image of nodes voltage is created combining the use of real-time traveling wave meters at all nodes of the tree. The novelty of this paper is that travelling wavefront are analyzed based on the dynamic changes of these images. Based on principle of the traditional fault location with traveling wave-based method for transmission networks, traveling wave data of fault location for medium voltage distribution networks are plotted in order to estimate propagation velocity and distance between the fault position and the reference node. The results indicate that taking advantage of the laws of data related to first wave front can improve the reliability of the fault location for medium voltage networks.
Highlights
Distribution networks widely distribute anywhere we live
Earth faults almost occur every day for a municipal scale medium voltage distribution network
The traveling wave-based method has wide application for transmission networks. This method is based on traveling wave propagating at high speed and capturing the wave front at terminals of the transmission line
Summary
Distribution networks widely distribute anywhere we live. It has closest relationship to our production and daily life. The traveling wave-based method has wide application for transmission networks. Reference [10] proposed an on-line time reversal (OTR) approach which is able to locate faults in live transmission line networks. ANALYSIS OF TRAVELING WAVE BASED FAULT LOCATION METHOD FOR DISTRIBUTION NETWORK WITH IMAGE PROCESSING. This paper analyzed the principle of earth fault location with the traveling wave-based method for medium voltage distribution networks. Given a specific tree structure of a distribution network, an image of nodes voltage is created and the dynamic changes of it are analyzed. On this basis, laws of traveling wave data from all nodes are discussed and summarized. The contribution of this paper lays the foundation for the future applied research on intelligence fault location algorithm
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