| 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. |
| Key words: Wide Area Network, Fault location, Traveling wave, Junction Point between Sections, Cloud computingplatform |
| DOI：10.1186/s41601-017-0042-4 |
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| Fund: |
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