Abstract
Several uncertain factors, such as the protection and circuit breaker refusing operation and misoperation, make it difficult to obtain accurate results based on a single fault location using the switching quantity. So this study proposes a power grid fault location method via multi-data source information fusion. The compressed sensing algorithm is used to reconstruct the electrical signal twice, and the rough fault range and electrical quantity fault degree are obtained respectively. Subsequently, the Bayesian network is used to obtain the switching fault degree of each element in the rough fault range. Finally, DS evidence theory fuses these two fault degrees to obtain the location result. PSCAD software builds an IEEE 14 node system, and the effectiveness of the proposed method is verified by simulation. Furthermore, it can quickly and accurately locate the fault after its occurrence and has good application prospects with respect to the fault location of a low-resistance grounded distribution network.
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