Cloud computing technology is used in traveling wave fault location, which establishes a new technology platform\nfor multi-terminal traveling wave fault location in complicated power systems. In this paper, multi-terminal traveling\nwave fault location network is developed, and massive data storage, management, and algorithm realization are\nimplemented in the cloud computing platform. Based on network topology structure, the section connecting\npoints for any lines and corresponding detection placement in the loop are determined first. The loop is divided\ninto different sections, in which the shortest transmission path for any of the fault points is directly and uniquely\nobtained. In order to minimize the number of traveling wave acquisition unit (TWU), multi-objective optimal\nconfiguration model for TWU is then set up based on network full observability. Finally, according to the TWU\ndistribution, fault section can be located by using temporal correlation, and the final fault location point can be\nprecisely calculated by fusing all the times recorded in TWU. PSCAD/EMTDC simulation results show that the\nproposed method can quickly, accurately, and reliably locate the fault point under limited TWU with optimal\nplacement.
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