This paper presents a method of single ended fault location for distribution network based on estimated contralateral information. This method is based on time-domain distributed parameter line model and 0, 1, 2-mode network, according to the head-end sampling information, firstly calculates mode voltage of the failed port and mode current which flows from the first end to the fault branch, then estimates the voltage and current information of the end by the mode voltage of the failed port, and then gets the mode current which flows from the end to the fault branch, establishes ranging function by using the boundary condition about the fault branch 0, 1, 2-mode current equal to the instantaneous value, and through the search method, finally achieves fault location. The proposed algorithm can take advantage of both transient and steady state volumes after a fault for distance caculation by requiring only a single ended of sampling information, and unaffected by distribution network branch, transition resistance, fault location and the neutral point operation mode and other factors. A large number of EMTP simulation results show that the algorithm is accurate and applicable.

A method of single ended fault location for distribution network based on estimated contralateral information

When it comes to the problem of unknown line parameters, state estimation is one of the effective methods to identify the line parameters, but state estimation requires that the whole network can be observed. Aiming at the problem that phasor measurement unit (PMU) configuration cost and technical limitations cannot meet the observability of the whole network, this paper uses the data of power quality monitoring device (PQMD) as a supplement to the PMU measurement data. In this paper, a method for estimating the parameters of distribution network lines based on interval harmonic state estimation and predictive correction is proposed. The measured data and line parameters are described as affine interval variable to be solved alternately, which are less conservative and have higher parameter accuracy than traditional interval algorithms. 

Distribution network parameter estimation method based on interval harmonic state estimation and prediction-correction

This paper presents a single-ended time domain fault location method for distribution network cable single-phase earth fault based on RLC model. The method uses the transient information at a distribution network cable single-phase ground fault to establish the time-domain ranging equation combining with fault state network and fault zero-mode network. The transition resistance and the equivalent capacitance to ground are identified and evaluated. The algorithm avoids the effect on the location accuracy by such factors as weak steady-state residual current caused by the fault arc suppression coil compensation, transition resistance, fault initial angle and the neutral point operation mode. EMTP digital simulation results verify the correctness of the algorithm, and show it has a high accuracy of identification and location. The ranging average error is within 10 m, the maximum relative error is less than 0.113%, and the maximum relative error of calculating the transition resistance is less than 1. 637%, which meets the needs of practical application.

A single-ended time domain fault location method for distribution network cable single-phase earth fault based on RLC model parameter identification

When it comes to the problem of unknown line parameters, state estimation is one of the effective methods to identify the line parameters, but state estimation requires that the whole network can be observed. Aiming at the problem that phasor measurement unit (PMU) configuration cost and technical limitations cannot meet the observability of the whole network, this paper uses the data of power quality monitoring device (PQMD) as a supplement to the PMU measurement data. In this paper, a method for estimating the parameters of distribution network lines based on interval harmonic state estimation and predictive correction is proposed. The measured data and line parameters are described as affine interval variable to be solved alternately, which are less conservative and have higher parameter accuracy than traditional interval algorithms.

This paper proposes a fault location method for distribution lines based on coupling parameter identification using two terminals data. In view of the problems of insufficient deployment of on-site phase selectors and inaccurate line parameters in medium voltage distribution network, the line coupling parameters are identified by characteristic loop voltage equation with coupling parameters based on pre-fault PMU recording data. On this basis, the corresponding fault distance percentage is calculated by genetic algorithm using the recorded data of fault transient process of three-phase synthetically. The weighting coefficients are constructed by the signal energy of current fault components and the percentage of fault distances of three phases is fused to determine the fault location. The method can locate the fault point without the accurate parameters of the measured line and the phase selector. The simulation results verify the effectiveness of the method.

An Accurate Fault Location Method for Distribution Lines Based on Coupling Parameter Identification Using Two Terminals Data

The deep integration of living production, intelligent public service and electric power in today’s society makes higher demands on the safety and reliability of the distribution network. This paper presents a fault diagnosis method for distribution network considering multiple information sources. It can take advantages of timing information and logic characteristics at the time of failure. Also, it can better reflect the intrinsic relationship between the information of the measuring device, the protection and the circuit breaker. Finally, it comprehensively utilizes information measuring protective relay, circuit breaker, Feeder Terminal Units (FTU) and other available sources. The chained logic makes use of these information as a result and the status of the primary equipment in the fault circumstance as the cause. Then, the maximum likelihood function is employed to determine the best inference chain, and the accurate diagnosis result is obtained. The feasibility of the proposed method is verified by information collected from industry filed.

Fault Diagnosis of Distribution Network Considering Multiple Source Information

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An Accurate Fault Location Method for Distribution Lines Based on Coupling Parameter Identification Using Two Terminals Data

Fault Diagnosis of Distribution Network Considering Multiple Source Information