Abstract
Cloud computing technology is used in traveling wave fault location, which establishes a new technology platform for multi-terminal traveling wave fault location in complicated power systems. In this paper, multi-terminal traveling wave fault location network is developed, and massive data storage, management, and algorithm realization are implemented in the cloud computing platform. Based on network topology structure, the section connecting points for any lines and corresponding detection placement in the loop are determined first. The loop is divided into different sections, in which the shortest transmission path for any of the fault points is directly and uniquely obtained. In order to minimize the number of traveling wave acquisition unit (TWU), multi-objective optimal configuration model for TWU is then set up based on network full observability. Finally, according to the TWU distribution, fault section can be located by using temporal correlation, and the final fault location point can be precisely calculated by fusing all the times recorded in TWU. PSCAD/EMTDC simulation results show that the proposed method can quickly, accurately, and reliably locate the fault point under limited TWU with optimal placement.
Highlights
With the development of smart grid, safe and reliable control and operation of the complicated grid have become more and more important
Traveling wave fault location method can be divided into two categories: local-based [6, 7] and network-based [8,9,10,11,12,13,14]
The local-based traveling wave fault location method is executed on a single line, which can be significantly affected by the operating status of the locating devices and interference signals
Summary
With the development of smart grid, safe and reliable control and operation of the complicated grid have become more and more important. Networkbased traveling wave fault location method collects large amount of data from TWU installed in all the substations, and fuses all the information to determine the exact fault position This significantly improves the fault location reliability and guarantees high accuracy. Based on the positive proportional relationship between transmission distance and transmission time, linear fitting is executed and the fault location is realized All these methods need massive data pre-processing for each single fault, and loop simplification, data matching, and information fusion, which are complicated and unfeasible. The proposed method determines the fault section and realizes optimal TWU configuration It can directly obtain the shortest transmission path, which omits network simplification and the matching process for the shortest transmission path. The method guarantees accurate fault location and improves reliability, and only requires to install a portion of TWU in the complicated network
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