Sparse Voltage Measurement-Based Fault Location Using Intelligent Electronic Devices

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.

A subsystem‐based fault location method in distribution grids by sparse measurement

“…(2) The principle of sparse meter allocation is systematically studied here according to the subsystem‐based fault location method. The result is verified to reduce the number of electricity meters while maintaining high location accuracy compared to the state‐of‐the‐art meters allocation principle [13, 15]; (3) Most papers are based on the prior distribution of Student‐t [13, 15, 16], which have certain limitations on the accuracy of fault location. Here the accuracy of the Bayesian‐based learning algorithm is improved by prior distribution of Gaussian‐Gamma‐Gamma layer by layer, thereby further improving the accuracy.…”

“…Compared with the existing fault location methods based on sparse measurement for distribution grids, the main contributions of this article are as follows: (1) This study helps to develop a subsystem‐based fault location method for distribution grid. By investigating the distribution characteristic of negative sequence voltage, the subsystem is chosen for measurement and calculation, which makes the fault location strategy simpler compared with the current fault location method, measured and calculated for the whole system [13–16]. (2) The principle of sparse meter allocation is systematically studied here according to the subsystem‐based fault location method.…”

Near-Infrared-Light-Assisted Self-Healing Graphene-Thermopolyurethane Composite Films

“…With the development of information technology, many intelligent electronic devices have been rapidly developed and widely used [ 1 , 2 , 3 , 4 ]. However, these devices, in the process of processing or applications for a long time, easily cause internal micro-cracks by mechanical, chemical and other factors, resulting in low reliability and short lifespan.…”

Edge Computing Based Fault Sensing of the Distribution Cables Based on Time-Domain Analysis of Grounding Line Current Signals

“…To realize automatic fault sensing in field, many types of the intelligent measurement devices, such as the fault indicators [25], feeder terminal units [26], and μPMUs [27], have been mounted in the distribution networks. Considering the state information of the fault indicators, a fault section location algorithm is presented in [28] based on the network topology features.…”