Abstract
This paper proposes a novel fault location method for overhead feeders, which is based on the direct load flow approach. The method is developed in the phase domain to effectively deal with unbalanced network conditions, while it can also handle distributed generation (DG) units of any type without requiring equivalent models. By utilizing the line series parameters and synchronized or unsynchronized voltage and current phasor measurements taken from the sources, the method reliably identifies the most probable faulty sections. With the aid of an index, the exact faulty section among the multiple candidates is determined. Extensive simulation studies for the IEEE 123-bus test feeder demonstrate that the proposed method accurately estimates the fault position under numerous short-circuit conditions with varying pre-fault system loading conditions, fault resistances, and measurement errors. The proposed method is promising for practical applications due to the limited number of required measurement devices as well as the short computation time.
THE automated and precise localization of short-circuit faults in power distribution systems reduces the power supply restoration time, thus increasing the system reliability. In this regard, several methods have been developed so far for automated fault location in power distribution systems. In this paper, we apply the phasor-based fault location principle to develop an automated method which utilizes fundamental frequency phasors, extracted from signals measured from the field, and performs short-circuit theory calculations to estimate the exact fault distance.
The phasor-based fault location methods can be classified into bus-oriented [
In this paper, the direct load flow (DLF) approach [
The proposed method identifies the exact fault location among the multiple estimates by using an error index for each candidate faulty section. The idea for this index originates in [
By comparing the proposed method with those in [
Reference | Evaluation aspect | |||||||
---|---|---|---|---|---|---|---|---|
Type | Meth-od | System | Rotating DG | CIDG | Measurement (points/type) | Line model | Multiple estimation | |
[ | BU | A* | abc | Yes | No | L/S | RL | No |
[ | BU | A* | abc | Yes | No | 2/S | RL | No |
[ | BU | M | abc | Yes | No | M/S | RL | No |
[ | BU | M | abc | Yes | No | M/S+U | RL | Yes |
[ | BU | M | abc | No | No | M/S | RL | No |
[ | BU | A | abc | Yes | Yes | M/U | RL | No |
[ | BU | A* | abc | Yes | Yes | L/S | RLC | Yes |
[ | BU | A* | abc | Yes | Yes | L/U | RLC | Yes |
[ | BU | A* | abc | Yes | Yes | L/S | RLC | Yes |
[ | BU | A* | abc | Yes | Yes | M/S | RLC | Yes |
[ | BR | A* | abc | Yes | Yes | L/S | RLC | No |
[ | BR | A* | abc | No | No | 1/- | RLC | No |
[ | BR | A* | abc | No | No | 1/- | RL | Yes |
[ | BR | A* | abc | No | No | 1/- | RL | No |
[ | BR | A* | abc | Yes | Yes | L/S | RLC | No |
[ | BR | A* | abc | No | Yes | 1/- | RLC | No |
[ | BR | A* | abc | Yes | Yes | L/U | RL | No |
[ | BR | M | abc | No | No | M/S | RL | No |
[ | BR | A* | abc | Yes | Yes | L/S | RLC | No |
[ | BR | M | abc | Yes | Yes | M/S | RLC | Yes |
This paper | BR | A* | abc | Yes | Yes | L/S | RL | Yes |
The contributions of this paper are summarized below.
1) The DLF approach [
2) A modified formulation of the error index with respect to that originally proposed in [
3) The proposed method can be equally applied to distribution systems with any type of DG units, i.e., synchronous-machine-based DG units and/or CIDG units, since the DG unit model is not required in the calculations. References [
4) A limited number of synchronized or unsynchronized measurements taken from the source buses are required. On the contrary, the methods in [
The structure of this paper is organized as follows. Section II gives the formulation of the fault location problem. The proposed method is thoroughly described in Section III. Section IV explains how unsynchronized phasors are handled properly. Section V presents the method for eliminating multiple solutions to identify the real faulty section among multiple candidates. Section VI gives an insight of how the method can be implemented in real-world feeders. Section VII presents the fault location results. Comparison with other fault location methods is conducted in Section VIII. Finally, Section IX concludes this paper.
Typically, most branch-oriented fault location methods for active distribution networks involve three discrete development stages: ① the derivation of the fault location equation, ② the calculation of the sending-end quantities of each successive line section, and ③ the estimation of the fault current contribution from the feeder area that is downstream to the fault position. These stages are analyzed below with respect to how they are realized by relevant fault location methods, in order to highlight the contribution of this paper.
Consider a purely resistive three-phase fault at distance d from the sending-end s of line section s-r, as shown in

Fig. 1 Examined line section s-r.
If the short-line model is used for representing each subsection, the voltage vector Vf=[Vfa,Vfb,Vfc
(1) |
where is the voltage vector at the sending-end s of line section s-r; is the current vector of line section s-r; and zsr is the series impedance matrix.
The three-phase apparent power at the fault position is given by:
(2) |
where Rf is a fault resistance vector; is the fault current vector; and “*” denotes the conjugate of the current.
By combining (1) and (2), the following fault location equation is derived:
(3) |
where defines the imagine part of a complex number.
If the -line model is used for representing subsections s-f and f-r, the voltage at the fault location is given by:
(4) |
(5) |
(6) |
where U is a 3×3 unit matrix; and ysr is the series admittance matrix of line section s-r.
By combining (2) and (4), the quadratic fault location equation is derived as:
(7) |
(8) |
(9) |
(10) |
For each examined line section, both alternative fault location equations, i.e., (3) and (7), require the sending-end voltage and current to calculate the fault distance. For the first line section of a feeder, which departs from the main substation, these quantities are known from available voltage/current measurements. This is because measurement devices are always available at the substation. For all the remaining line sections, the sending-end voltage and current are calculated by using the measurements taken at the substation.
In [
In order to solve (3) or (7), except from the sending-end quantities, the knowledge of the fault current If is required. The latter is given from the following equation:
(11) |
The sending-end current Isr is calculated as described in the previous subsection. Therefore, the only unknown in (11) is the current Irf flowing from the downstream system to the fault.
If DG units are absent in the area downstream to the fault position, the current Irf is the during-fault load current . The latter has the opposite direction with respect to Ιrf, i.e.,
(12) |
Since the pre-fault load current is different from the during-fault load current , the latter is estimated in an iterative manner. This procedure requires the calculation of the equivalent circuit of the downstream feeder, as can be observed from the end-bus of each examined line section. In [
If DG units are operating in the downstream system, the current Irf expresses the net remote infeed from those units during the fault:
(13) |
where i is the number of DG units connected downstream to the fault position; and is the current contribution of each of those DG units to the fault.
In [
In this paper, we propose a fault location method by solving (3) (due to the short-line model adopted) for locating the fault inside a line section of a distribution feeder. Contrary to most of the relevant methods published in the literature, which apply the BFSLF algorithm for estimating the sending-end quantities and the remote infeed current, we apply a modified DLF approach [
The DLF approach directly updates and recalculates the branch currents and bus voltages by utilizing the bus-injection-to-branch-current matrix BIBC and branch-current-to-bus-voltage matrix BCBV, respectively [

Fig. 2 Sample 4-bus power distribution network.
The branch currents of this power distribution network can be expressed by the bus current injections, as shown in (14), where the upper triangular transformation matrix of 0 and 1 values is the BIBC matrix. Note that in (14), the branch/bus currents correspond to a 3×1 vector each, since all three phases are considered.
(14) |
where Iij is the current flow on branch ij; and Ij is the load current supplied from bus j. The drop between the substation bus voltage and the voltage of each downstream bus is calculated through (15), where the lower triangular matrix is BCBV containing only the series impedance of the lines.
(15) |
where is the voltage drop between bus 1 and bus j; and is the series impedance of line ij. The advantage of using the BIBC matrix is that branch current variations, caused by bus current variations, are calculated directly through (14); whereas in the BFSLF algorithm, multiple backward sweeps (equal to the number of line sections) are executed for the same purpose. With the use of the BCBV matrix, the voltage differences are calculated in one step through (15). In contrast, the BFSLF algorithm calculates the voltage differences, each at a time, by applying forward sweeps.
By combining (14) with (15), the following equation is derived:
(16) |
In the next subsections, we present how the DLF approach is modified in this paper so that it can be separately applied to determine the sending-end quantities and the receiving-end during-fault current contribution for the upstream and downstream systems, respectively.
Let us consider the sample distribution feeder shown in

Fig. 3 Upstream system consideration.
The procedure adopted includes the following steps.
Step 1: formulate the matrices BIBC1-s and BCBV1-s for the network part from bus 1 down to bus s.
Step 2: if a DG unit is connected to bus g in the upstream network with respect to the fault point , set the during-fault bus current injection Ig to be equal to the measured current at the DG bus .
(17) |
Step 3: formulate the during-fault voltage and current vector of all network buses , which are located upstream to the examined line section s-r. The superscript is used in (18) and (19) because each upstream bus voltage/current, except for bus 1, will be calculated in an iterative manner in the next steps.
(18) |
(19) |
Step 4: depending on load type, define the during-fault bus (load) currents in the upstream system with appropriate expressions. For instance, if bus j is considered, then:
(20) |
where CP, CI, and CC characterize the constant power, constant impedance, and constant current load, respectively; Sj is the per-phase complex power injected into bus j; and zj is the per-phase impedance of the load connected to bus j.
Step 5: at the initial step , set each bus voltage equal to the measured bus voltage . In matrix form, we have:
(21) |
Step 6: the matrix of the initially estimated during-fault bus currents flowing in the upstream network is derived from (20) by replacing the voltages with their initially estimated during-fault value (except for CC loads):
(22) |
Step 7: calculate the during-fault sending-end current of the examined section s-r as:
(23) |
Step 8: update the bus voltage vector directly as:
(24) |
(25) |
where is the vector of voltage drop between the substation bus (bus 1) and each downstream bus (up to bus s).
Step 9: if , report the calculated during-fault sending-end voltage and current of section s-r; else, go to Step 3.
The receiving-end current Irf is required to calculate the total fault current through (11). The current Irf is estimated by applying the DLF approach for the network part downstream to pseudo-bus f, as shown in

Fig. 4 Downstream system consideration.
This procedure includes the following steps.
Step 1: formulate the matrices and for the network part from pseudo-bus f down to the remotest bus n.
Step 2: if a DG unit is connected to bus m in the downstream system , set the during-fault bus current injection Im equal to the measured current at the DG bus.
(26) |
Step 3: formulate the during-fault voltage and current vectors of all network buses , which are located downstream to the examined fault position.
(27) |
(28) |
Step 4: at the initial step , set the initial per unit fault distance estimation to be 0, i.e., .
Step 5: calculate the fault point voltage for (, 1, 2, ) from the following equation:
(29) |
where and have been calculated as addressed in the previous subsection.
Step 6: set the initially estimated voltages of each downstream bus equal to the fault point voltage .
(30) |
Step 7: depending on the load type, calculate the initially estimated during-fault bus (load) currents through (20) using the bus voltages of (30).
Step 8: update the bus voltages directly as:
(31) |
(32) |
Step 9: if , calculate the branch currents directly from (33) and report the receiving-end current as retrieved by (34); else, go to Step 7.
(33) |
(34) |
Step 10: using the receiving-end current , update the fault current through:
(35) |
Step 11: calculate the fault location from:
(36) |
Step 12: if and , report the faulty section s-r and the fault distance; else, go to Step 5.
The proposed method requires voltage and current phasor measurements taken from the substation, and current phasor measurements taken from the DG units. For the sake of simplicity, these phasor measurements are considered synchronized in this section. In the general case where measurements are unsynchronized, the proposed method can still be applied but the power factor angles of the DG units are also required. This will be described in the rest of this section.
Assume the distribution feeder shown in
To impose a synchronization error on the measured phasors (expressed by superscript “err”), we multiply these phasors with an exponential operator:
(37) |
(38) |
(39) |
As can be observed, besides currents measurement, the voltage measurements are also required for the DG units. Note that voltage and current measurements are always available in DG plants. Furthermore, we assume random error angles and for the measurements taken from the DG units. We further assume that the measurements at substation (bus 1) are synchronized.
The power factor angles of DG units g and m are given by:
(40) |
(41) |
This angle separation is calculated from the voltage/current phasor measurements, reaching a relatively large value during faults. Note also that angles and are the same despite whether we assume the angle error in the voltage/current phasors or not.
The measured current phasors of the DG units can now be expressed as:
(42) |
(43) |
In (42) and (43), and are unknown quantities that will be estimated as explained below.
In the first iteration of the fault location method described in Section III, we assume that . Then, the terms and are calculated and used in the algorithmic steps. In the next iterations (), and are updated using the new estimation of the DG bus voltages retrieved from (24) or (31):
(44) |
(45) |
It should be noted that and remain constant. Meanwhile, Vg and Vm are recalculated during the execution of the fault location algorithm until the condition of Step 9 is satisfied. This is achieved when .
By applying the proposed method to each line section successively, multiple acceptable fault distance estimation solutions may be obtained. Hence, multiple possible faulty sections may be identified. To deal with this problem, i.e., to identify the exact faulty section and the exact fault position inside this section, a fault distance estimation error index (FDEEI) is introduced:
(46) |
where dm and de are the fault distances estimated from the main and extra fault location equations (see Table II), respectively.
This index is based on the concept that extra linear independent fault location equations can be obtained from each phase (faulty and nonfaulty) if they are considered individually [
Fault type | Extra fault location equation 1 | Extra fault location equation 2 |
---|---|---|
AG | ||
AB/ABG | ||
ABC/ABCG |
Note: variables and parameters are defined in [
The FDEEI is calculated every time a possible faulty section is reported, e.g., at Step 10 of the algorithm for the downstream system. The lower FDEEI indicates the faulty section.
For the calculation of the FDEEI, the fault type should be identified through the voltage and current phasor measurements, i.e., V1 and I1, taken from the main substation. In fact, the fault type is determined by calculating and observing the following quantities from the measurements V1 and I1:
1) The phase-angle difference between the superimposed negative- () and positive-sequence () current phasors.
2) The phase-angle difference between the superimposed negative- () and zero-sequence () current phasors.
3) The phase-angle difference between the negative- () and positive-sequence () voltage phasors.
4) The phase-angle difference between the negative- () and zero-sequence () voltage phasors.
Fault type | φΙs,21 (°) | φΙs,20 (°) | φV,21 (°) | φV,20 (°) |
---|---|---|---|---|
AB | ||||
BC | ||||
CA | ||||
ABG | ||||
BCG | ||||
CAG | ||||
AG | ||||
BG | ||||
CG |

Fig. 5 Flowchart of proposed method.

Fig. 6 Implementation scheme.
The required voltage and current phasors are gathered on this substation computer. As already addressed in the previous sections, these phasors may be time-stamped or not. If synchronized phasors are available or desirable, then measurement devices such as micro phasor measurement units (PMUs) should be utilized. These devices will provide time-stamped voltage/current phasors with a common time reference like that determined by the global positioning system (GPS). If no synchronization means are available or desirable, then voltage/current phasor measurements are locally collected and asynchronously sent to the FL. The FL will artificially align the phasors in time by following the methodology described in Section IV.
We emphasize here that no voltage/current measurements are required from any other point along the feeder. Only phasor measurements from the sources (i.e., from the main substation and the connected DG units) are required. In actual power distribution network, it is impossible to find a DG power plant without voltage and current measurement devices. Voltage and current measurements are required to implement the protection system of the generation units. Moreover, voltage and current measurements are required to measure the active/reactive power produced by the unit at the point of connection with the distribution system for regulatory and/or financial reasons. The same is true for the main substation. In addition, it is impossible that voltage/current sensors are unavailable in the main high-voltage/medium-voltage (HV/MV) power distribution substation for similar reasons.
In addition, it must be emphasized that the proposed method is not designed as a real-time application. Low-speed data communications can be applied for data gathering, which significantly differs from communication channels used for real-time applications. Moreover, the fault location is considered to run offline, just after a fault occurs in the distribution system. Hence, although fault location time is important for service restoration and we are interested in developing a time-efficient method, there are always different time requirements compared with those for fault protection.
A modified version of the IEEE 123-bus test distribution feeder model, as shown in

Fig. 7 Modified IEEE 123-bus test distribution feeder model.
The performance of the proposed method is evaluated with the aid of the fault distance estimation accuracy error (FDEAE):
(47) |
where da is the actual fault distances.
The elimination methodology for multiple solutions is evaluated based on how reliably the FDEEI performs, i.e., how often a false section is identified.
First, we evaluate the performance of the proposed method for solid faults and synchronized phasor measurements. More complex conditions will be investigated next.
To this end, all common fault types are simulated on different line sections and locations. The proposed method is applied for each simulated fault scenario. Due to space limitations, indicative results are shown in
Faulty section/da/section length (m) | Fault type | Estimated faulty sections | Estimated fault position | FDEEI (%) | FDEAE (%) | ||
---|---|---|---|---|---|---|---|
dm | d1 | d2 | |||||
90-91/0.4/137.16 | AG |
82-84 90-91 103-104 113-120 |
0.8886 0.4083 0.8743 0.2189 |
0.5413 0.4138 0.0089 0.1989 |
0.3287 0.4320 0.0124 0.1880 |
0.5104 0.0486 0.9878 0.1164 | 0.83 |
AB |
69-70 82-84 90-91 103-104 113-120 |
0.6790 0.8240 0.3837 0.5908 0.2262 |
0.1798 0.4485 0.3462 0.5739 0.7159 |
0.0952 0.3793 0.3195 0.4874 0.6834 |
0.7975 0.4977 0.1325 0.1018 2.0931 | 1.63 | |
ABG |
82-84 90-91 103-104 113-120 |
0.8416 0.3858 0.7455 0.1765 |
0.6953 0.3582 0.7023 0.0932 |
0.6482 0.3532 0.6782 0.0025 |
0.2019 0.0780 0.0741 0.7288 | 1.42 | |
ABC |
90-91 113-120 |
0.4074 0.2360 |
0.4162 0.3154 |
0.4209 0.3378 |
0.0273 0.3840 | 0.74 | |
ABCG |
82-84 90-91 103-104 113-120 |
0.8874 0.3803 0.7199 0.2001 |
0.6742 0.3783 0.6742 0.4290 |
0.7194 0.3449 0.6563 0.4863 |
0.2148 0.0995 0.0759 1.2869 | 1.97 | |
113-120/0.3/304.8 | AG |
84-85 90-91 104-105 113-120 |
0.0264 0.5817 0.0439 0.2905 |
0.1906 0.4385 0.1348 0.3212 |
0.1455 0.4104 0.1276 0.3109 |
5.3655 0.2703 1.9886 0.0878 | 0.95 |
AB |
69-70 82-84 90-91 104-105 113-120 |
0.8736 0.9716 0.4320 0.4355 0.2965 |
0.5586 0.6173 0.3956 0.6521 0.2641 |
0.5168 0.5873 0.3682 0.7632 0.2407 |
0.3845 0.3801 0.1160 0.6249 0.1488 | 0.35 | |
ABG |
90-91 104-105 113-120 |
0.5917 0.0402 0.3006 |
0.6400 0.3193 0.3054 |
0.6173 0.5632 0.2883 |
0.0624 9.9764 0.0509 | 0.06 | |
ABC |
90-91 104-105 113-120 |
0.5489 0.0291 0.2984 |
0.4193 0.7391 0.3093 |
0.4297 0.8621 0.3103 |
0.2357 26.512 0.0382 | 0.16 | |
ABCG |
90-91 104-105 113-120 |
0.5702 0.0258 0.2982 |
0.2903 0.4721 0.2917 |
0.3683 0.4316 0.3023 |
0.4225 16.513 0.0295 | 0.18 | |
93-95/0.5/68.58 | AG |
85-86 93-95 82-83 113-120 |
0.5371 0.5227 0.3572 0.5897 |
0.6406 0.5572 0.4738 0.5471 |
0.8402 0.4963 0.4194 0.5603 |
0.3785 0.0583 0.2503 0.0610 | 2.27 |
AB |
82-83 85-86 93-95 113-120 |
0.7528 0.6238 0.5312 0.6783 |
0.1998 0.5952 0.5462 0.3865 |
0.0743 0.6376 0.5274 0.8753 |
0.8179 0.0340 0.0177 0.3603 | 3.12 | |
ABG |
85-86 93-95 103-104 110-113 |
0.4532 0.4744 0.5467 0.3982 |
0.7535 0.4582 0.6054 0.2784 |
0.8637 0.4532 0.5692 0.7654 |
0.7842 0.0394 0.0743 0.6115 | 2.56 | |
ABC |
82-84 93-95 101-106 103-104 |
0.0231 0.5238 0.9721 0.3476 |
0.0193 0.4976 0.7823 0.5432 |
0.0694 0.5672 0.8725 0.0675 |
1.0844 0.0664 0.1489 0.6843 | 2.38 | |
ABCG |
85-86 93-95 103-104 113-120 |
0.0954 0.4784 0.0432 0.3721 |
0.1474 0.4742 0.0542 0.4582 |
0.6521 0.4489 0.0998 0.5783 |
3.1903 0.0352 0.7824 0.3928 | 2.16 |
1) In the first column of
2) In the second column, the considered fault type is shown.
3) The solutions dm and de () resulting from the main and the extra fault location equations, respectively, are shown in the next three columns of
4) The FDEEI and FDEAE are included in the last two columns of
The results of
Moreover, the calculated FDEAE is low, clearly demonstrating the high accuracy of the proposed method. Generally, larger values of FDEAE are calculated at the shortest line sections. For the longest line section 113-120, which is also the remotest, the FDEAE is extremely low.
Since a significant dependence between the FDEAE and the line section length arises, to investigate deeper the accuracy of the proposed method, we calculate the mean value of the FDEAE with respect to different line section lengths. For this purpose, solid faults of all types are considered in the middle of 50 different line sections.
Fault type | Mean value of FDEAE (%) | |||
---|---|---|---|---|
l-250/5 | 250-500/5 | 500-750/55 | 750-1000/5 | |
AG | 1.56 | 1.39 | 1.21 | 0.75 |
AB | 2.43 | 1.83 | 1.69 | 1.27 |
ABG | 2.28 | 1.82 | 1.75 | 1.31 |
ABC | 1.16 | 0.88 | 0.73 | 0.45 |
ABCG | 1.29 | 0.72 | 0.59 | 0.37 |
Sensitivity analysis is made for the case leading to the largest FDEAE between all the examined cases, that is, the case of a fault in the middle ( p.u.) of section 93-95.
In order to investigate the impact of fault resistance on FDEAE, the ground and phase faults with different fault resistances are examined.
Please note that the Greek distribution system operator considers a maximum of 40 for ground faults in short-circuit studies. 40 is also the maximum fault resistance magnitude adopted worldwide in protection design studies as stated in [
From the results in

Fig. 8 Effect of fault resistance on FDEAE. (a) Ground fault. (b) Phase fault.
We assume that the voltage phasors measured at source buses 31, 54, 87, and 99 have a synchronization error which is given by the error angles , respectively, as shown in
Faulty section/da/section length (m) | Fault type | FDEAE with different (, , , ) (%) | |||
---|---|---|---|---|---|
(0, 0, 0, 0) | (1.8°, 3.6°, 5.4°, 7.2°) | (9.0°, 10.8°, 12.6°, 14.4°) | (3.0°, 12.1°, 31.2°, 23.4°) | ||
93-95/0.5/68.58 | AG | 2.27 | 2.27 | 2.27 | 2.27 |
AB | 3.12 | 3.12 | 3.12 | 3.12 | |
ABG | 2.56 | 2.56 | 2.56 | 2.56 | |
ABC | 2.38 | 2.38 | 2.38 | 2.38 | |
ABCG | 2.16 | 2.16 | 2.16 | 2.16 |
A uniform decrease/increase of all load impedances, corresponding to a load variation up to 25% with respect to the initial power consumption, is considered.

Fig. 9 Effect of load variation on FDEAE. (a) Uncompensated load. (b) Compensated load.
Since this error is relatively large, we consider following the load compensation method in [
This method uses measurements taken from the substation to calculate a load factor, which is used to compensate the loads in the calculations. With this method, the FDEAE remains below 5.3% for all fault types (
The proposed method utilizes the during-fault voltage and current measurements from the substation (bus 1), as well as the during-fault current and power factor angle measurements from all the DG sources.
To evaluate the performance of the proposed method under measurement errors, seven different measurement error scenarios (scenario 1-7) are considered. Scenario 1 refers to the case without any measurement error in the signals.
Scenario | Phasor magnitude variations (%) | ||||
---|---|---|---|---|---|
V1 and I1 | I31 | I54 | I87 | I99 | |
1 | 0 | 0 | 0 | 0 | 0 |
2 | +1 | 0 | 0 | 0 | 0 |
3 | +3 | 0 | 0 | 0 | 0 |
4 | +5 | 0 | 0 | 0 | 0 |
5 | +1 | -1 | -1 | -1 | -1 |
6 | +3 | -1 | -1 | -1 | -1 |
7 | +5 | -1 | -1 | -1 | -1 |

Fig. 10 Effect of measurement error on FDEAE.
The proposed method utilizes the series line parameters to derive the matrices BCBV and BIBC. These parameters may change in overhead lines constantly, e.g., due to changes in ambient temperature. For this purpose, we investigate the performance of the proposed method with such line parameter errors.
The IEEE 123-bus test distribution feeder is made up of 11 different overhead line configurations [
Scenario | Line impedance variation for line configurations (%) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
No. 1 | No. 2 | No. 3 | No. 4 | No. 5 | No. 6 | No. 7 | No. 8 | No. 9 | No. 10 | No. 11 | |
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | +1 | +1 | -1 | +1 | -1 | -1 | +1 | +1 | -1 | +1 | -1 |
3 | +2 | -2 | +1 | +3 | -2 | +3 | -3 | +1 | +2 | -1 | +3 |
4 | +3 | +4 | -2 | -3 | +3 | +4 | -2 | +3 | +3 | -4 | -2 |
5 | +5 | -4 | +5 | -2 | +3 | +5 | -4 | +3 | +5 | -2 | +4 |
From the results, it is shown that the FDEAE increases as the percentage error in line parameters increases, as shown in

Fig. 11 Effect of line parameter error on FDEAE.
In this subsection, we compare the proposed method with the methods in [
We modified the IEEE 123-bus test distribution feeder to exactly match the pre-/during-fault network conditions (DG production, topology, and fault type/phase/resistance) in [
Fault type | FDEAE with Ω (%) | FDEAE with Ω (%) | FDEAE with Ω (%) | FDEAE with Ω (%) | ||||
---|---|---|---|---|---|---|---|---|
Method in [ | Proposed method | Method in [ | Proposed method | Method in [ | Proposed method | Method in [ | Proposed method | |
AG | 10.92 | 2.21 | 5.11 | 3.89 | 5.16 | 5.93 | 5.14 | 7.21 |
ABG | 7.41 | 2.30 | 4.61 | 4.17 | 5.21 | 6.76 | 4.50 | 7.58 |
AB | 9.48 | 3.17 | 4.80 | 7.15 | 4.90 | 8.24 | 5.17 | 9.24 |
ABCG | 4.86 | 2.19 | 4.96 | 3.92 | 4.73 | 5.89 | 4.56 | 6.77 |
Location | Fault type | Error with (%) | Error with Ω (%) | Error with Ω (%) | Error with Ω (%) | Error with Ω (%) | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
Method in [ | Proposed method | Method in [ | Proposed method | Method in [ | Proposed method | Method in [ | Proposed method | Method in [ | Proposed method | ||
1-2 | AG | 0.261 | 0.075 | 0.249 | 0.075 | 0.254 | 0.086 | 0.263 | 0.095 | 0.287 | 0.170 |
ABCG | 0.148 | 0.100 | 0.149 | 0.101 | 0.151 | 0.122 | 0.143 | 0.130 | 0.164 | 0.161 | |
AB | 0.198 | 0.157 | 0.201 | 0.159 | 0.204 | 0.172 | 0.210 | 0.210 | 0.229 | 0.303 | |
12-14 | AG | 0.222 | 0.011 | 0.228 | 0.012 | 0.231 | 0.030 | 0.229 | 0.046 | 0.236 | 0.122 |
ABCG | 0.124 | 0.072 | 0.123 | 0.072 | 0.123 | 0.089 | 0.123 | 0.099 | 0.129 | 0.127 | |
AB | 0.161 | 0.119 | 0.161 | 0.120 | 0.162 | 0.151 | 0.163 | 0.162 | 0.169 | 0.201 | |
34-35 | AG | 0.246 | 0.071 | 0.246 | 0.072 | 0.247 | 0.082 | 0.247 | 0.097 | 0.251 | 0.185 |
ABCG | 0.181 | 0.098 | 0.181 | 0.099 | 0.181 | 0.111 | 0.182 | 0.131 | 0.188 | 0.179 | |
AB | 0.210 | 0.144 | 0.210 | 0.146 | 0.210 | 0.164 | 0.211 | 0.198 | 0.216 | 0.222 | |
70-73 | AG | 0.223 | 0.069 | 0.223 | 0.070 | 0.223 | 0.081 | 0.223 | 0.101 | 0.224 | 0.209 |
ABCG | 0.177 | 0.111 | 0.177 | 0.111 | 0.177 | 0.124 | 0.177 | 0.142 | 0.181 | 0.187 | |
AB | 0.214 | 0.151 | 0.214 | 0.152 | 0.214 | 0.161 | 0.214 | 0.195 | 0.218 | 0.235 | |
99-100 | AG | 0.281 | 0.114 | 0.281 | 0.117 | 0.281 | 0.125 | 0.281 | 0.139 | 0.281 | 0.199 |
ABCG | 0.201 | 0.082 | 0.201 | 0.086 | 0.201 | 0.097 | 0.201 | 0.111 | 0.202 | 0.195 | |
AB | 0.255 | 0.187 | 0.255 | 0.205 | 0.255 | 0.221 | 0.255 | 0.253 | 0.258 | 0.303 | |
45-47 | AG | 0.232 | 0.088 | 0.234 | 0.089 | 0.239 | 0.100 | 0.241 | 0.121 | 0.260 | 0.211 |
ABCG | 0.131 | 0.102 | 0.131 | 0.103 | 0.131 | 0.113 | 0.132 | 0.128 | 0.136 | 0.198 | |
AB | 0.176 | 0.121 | 0.176 | 0.123 | 0.176 | 0.143 | 0.176 | 0.176 | 0.178 | 0.256 |
However, we would like to state at this point that as addressed in Section VII-B-1), the proposed method in this paper is expected to accurately locate phase faults with a fault resistance up to 10 and ground faults with a fault resistance up to 40 . Larger phase fault resistances are not expected, whereas dealing with ground faults with a resistance larger than 40 is a totally different topic in protection, since sensitive earth relays are required for fault clearance while fault location is challenging for high-resistance magnitudes.
One of the main advantages of the proposed method is that the DLF approach in it reduces substantially the computation time. This is clearly shown in
Fault type | Computation time (s) | |
---|---|---|
Basic algorithm | Algorithm for elimination of multiple estimations | |
AG | 2.0527 | 4.3423 |
AB | 2.0527 | 4.2612 |
ABG | 2.0527 | 4.2612 |
ABC | 2.0527 | 4.2932 |
ABCG | 2.0527 | 4.2932 |
The DLF approach is modified in this paper to be used in the proposed fault location method for overhead feeders of power distribution networks. Extensive simulation runs conducted for the modified IEEE 123-bus test distribution feeder under various pre-fault network conditions, fault resistances, and measurement errors show the good performance of the proposed method. The results show that the proposed method finds the exact faulty section and the fault distance inside this section accurately. It is also shown that the proposed method is insensitive to the most challenging error factors. The limited number of synchronized measurements required makes this method attractive for practical application.
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