Abstract
This paper proposes a fault-section location method based on sparse measurements, aimed at asymmetrical faults. A virtual current vector is defined to indicate the faulted section, which is sufficiently sparse except that the fault position corresponding entries are nonzero. To simplify the algorithm, the virtual vector is fixed by amplitudes of voltages and impedances and the feasibility is demonstrated. The Bayesian Compressive Sensing theory is introduced to reduce the number of required intelligent electronic devices (IEDs). In addition, the minimal number of IEDs and their allocation are discussed. The performance of the proposed method is validated in a 69-bus, 12.66-kV distribution system with six distributed generations (DGs) in response to various fault scenarios. The simulation results show that the method is robust for single-phase, double-phase, and double-phase to ground faults with high resistance under noisy condition. Furthermore, the method is applicable for networks with inverter interfaced DGs.
Highlights
WITH the development of both distribution automation (DA) and distribution management system (DMS), intelligent electronic devices (IEDs) begin to gather the operation and fault information of networks in real time [1], which promotes the further development of fault location methodology.To date, fault location methods can be classified into the following categories: impedance estimation methods [2]-[6], travelling wave methods [8]-[13], and wide area measurementbased methods [14]-[32]
This study proposes a sparse measurement-based faultsection location method aimed at asymmetrical faults in distribution networks, which is able to narrow the location range down to two adjacent nodes by few IEDs
Experimental explorations indicated that two types of location results exist: Type I, faulted line section is correctly identified; Type II, location is judged as the section adjacent to the faulted section
Summary
WITH the development of both distribution automation (DA) and distribution management system (DMS), intelligent electronic devices (IEDs) begin to gather the operation and fault information of networks in real time [1], which promotes the further development of fault location methodology. The upgrading of facilities can only promote the accuracy of methods without solving the problem of the large determined range To solve this problem, a series of methods based on an automatic algorithm have been proposed. This study proposes a sparse measurement-based faultsection location method aimed at asymmetrical faults in distribution networks (three-phase faults rarely happen in a distribution system), which is able to narrow the location range down to two adjacent nodes by few IEDs. A defined sparse vector, whose items are a virtual nodal current injection of negative sequence, is proposed as substitute of the true fault current to indicate the faulted section. Compared to existing wide area measurement-based methods, the main contributions of this study are as follows: The proposed method is capable to point out the faulted line section from a large scale high- or middle-voltage (above 10 kV) distribution network, using measurements gathered from very few measuring devices. The negative sequence component is used in the proposed method, which makes the fault location result less affected by DG, which normally uses eliminating negative sequence control to maintain a smooth fault ride
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