1. Introduction
Currently, the long-distance power supply systems in underground coal mining faces suffer from severe line losses, and load fluctuations lead to unstable terminal voltages. To address these issues, the latest solution involves adopting a solid-state automatic voltage regulation system based on series compensation principles (as shown in
Figure 1). Due to technical limitations, direct voltage measurement at the end of the line is challenging, so the voltage regulation device in this scheme can only be installed at the outlet of the mobile substation at the distribution point of the working face. Additionally, an algorithm has been proposed to estimate the terminal voltage using voltage and current phasors at the head of the line [
1].
Traditional leakage protection methods exhibit significant shortcomings when dealing with such dynamic environments. Conventional leakage protection methods rely on zero-sequence voltage, zero-sequence current, and zero-sequence power direction principles, which are set based on static operating conditions and cannot effectively handle variations in the voltage and current at the head of the load tap-changing system [
2]. Moreover, the output voltage of the voltage regulation system can fluctuate by ±30% around the rated voltage of 1140 V. This variability leads to significant differences in detected zero-sequence voltages and currents for leakage faults occurring at different positions along the same power supply line, increasing measurement errors for single-phase leakage fault resistances and resulting in serious faults or missed operation issues [
3,
4].
Furthermore, the principle of zero-sequence components can only detect single-phase leakage faults and cannot identify leakage faults caused by symmetrical decreases in three-phase insulation resistance [
5,
6]. Even with the installation of additional DC detection power sources on the low-voltage side of mobile substations to measure the equivalent ground insulation resistance of the entire system, PWM harmonic interference affects the DC component flowing through the detection circuit, influenced by factors such as modulation depth and carrier frequency, leading to increased measurement errors for insulation resistance [
7,
8,
9,
10]. Therefore, there is an urgent need to develop new leakage protection methods to meet the unique requirements of long-distance power supply lines, including large, distributed capacitors, wide-voltage fluctuation ranges, high harmonic content, and significant differences in zero-sequence voltages at various fault locations [
11].
In practical applications, power supply systems in underground coal mines must ensure both stable and safe power transmission while also coping with complex geological conditions and harsh working environments. To meet these needs, this paper proposes a novel leakage detection and protection method named 3AC. This method involves adding a set of asymmetric three-phase capacitors at the head of the line to generate a continuous zero-sequence current that is monitored in real time. Even in the event of a three-phase leakage fault, the zero-sequence current can still be detected, allowing accurate measurement of the system’s insulation resistance and identification of specific fault types [
12]. This approach not only enhances the accuracy of leakage protection but also significantly improves the reliability and safety of the entire power supply system, ensuring safe and efficient coal mine operations [
13,
14].
By introducing the 3AC leakage detection and protection method, this paper aims to overcome the limitations of existing technologies and provide a more robust and efficient solution to address the complex challenges of long-distance power supply systems in underground coal mines. This innovation not only enhances the safety of mining operations but also offers valuable reference experience for similar application scenarios [
15].
2. Leakage Protection Method Based on 3AC Detection Circuit
2.1. The Composition of the Detection Circuit
In the three-phase power supply system where the neutral point of the transformer is not grounded and when the three-phase insulation resistance is basically equal, even if the resistance value is small, the current flowing into the earth remains symmetrical in magnitude and phase [
16,
17,
18]. Additionally, zero-sequence voltage and current are not generated, and traditional methods fail [
19].
In order to solve this problem, this paper proposes a method named 3AC, that is, three capacitors
C1,
C2, and
C3 of different sizes are artificially added at the head of the power supply system. It must be fulfilled that the formula
C1 = 2
C2 = 2
C3 is set to form an asymmetric capacitor filter, which is equivalent to manufacturing a constant zero-sequence component in the system. Even under the faulty condition of three-phase insulation resistance uniformly and symmetrically declining [
20], this zero-sequence component introduced by the capacitor can still be used for detection, thus solving the problem that traditional methods cannot detect such faults [
21]. The electrical principle is shown in
Figure 2.
The method of adding three-phase asymmetric capacitance (3AC for short) is not only able to effectively detect single-phase leakage but to also identify leakage faults of two-phase and three-phase insulation drops. By targeting characteristics of large voltage fluctuation ranges of long-distance on-load automatic voltage regulation power supply systems, this proposed method exhibits adaptability under varying conditions.
2.2. Mathematical Model Based on 3AC Detection Method
By collecting the ground current of ‘3AC’, the effective value and phase are calculated by the Fourier algorithm [
15], and then the pattern recognition of the mathematical model of leakage resistance is established according to the variation law of the current phasor when single-phase, two-phase, and three-phase leakage faults occur.
To optimize the system’s performance, it is necessary to carefully select the parameters of the additional capacitors. Specifically, the capacitance values are determined such that C1 = 2C2 = 2C3, with the specific values set as C1 = 2C2 = 2C3 = 0.2 μF. The choice of 0.2 μF as the capacitance value is not only because it meets the basic functional requirements, but more importantly, it can operate reliably in a high-voltage environment of 1140 V, while taking into account safety, cost-effectiveness, and overall system performance optimization. This value is the optimal result obtained through simulation or experimentation and can meet the system’s performance requirements under normal operating conditions. In order to simplify the theoretical analysis, it is usually assumed that the grid power supply, the insulation resistance, and distributed capacitors between the phase and the ground of all lines are symmetrically distributed, and the distributed capacitance of each phase to the ground is C. When the three-phase insulation resistance decreases, the resistance values are represented by RA, RB, and RC, respectively.
The node voltage method is used to analyze
and
, where
is a zero-sequence current artificially constructed by adding three asymmetric capacitors. Taking the earth as the reference node, the formula is as follows:
Expanding the denominator of Equation (1) and considering that the vector sum of the three-phase voltages is zero given the conditions
C1 = 2
C2 = 2
C3 as set above, we can simplify the data to obtain Equation (2):
In an ideal power system, the three-phase conductors are completely insulated from each other and from the ground. This means that no current will leak through the insulation materials to the ground or other conductors. Therefore, in this ideal scenario, the insulation resistance can be considered infinite. Although, in reality, any insulation material has a certain resistance value, under normal operating conditions, the insulation resistance is very high and can still be treated as infinite. Thus, 1/
RA, 1/
RB, and 1/
RC can be approximated as zero. Consequently, Equation (2) can be further simplified as follows:
Due to the addition of three-phase asymmetric capacitance, a zero-sequence current
will also be generated during the normal operation of the system. According to the equivalent model diagram, the following derivation can be made:
where
,
, Substitute it into Equation (3), we can get:
2.2.1. Single-Phase Leakage
When a leakage fault occurs in a particular phase, the insulation resistance of that phase decreases. Therefore, in Equation (2), it can no longer be considered infinite.
When a single-phase leakage occurs in phase
A, the insulation of
RA decreases. Assuming that the insulation resistance after the decrease is
RA′, the insulation resistance of
RB and
RC can be regarded as infinite. The formula of
changed as follows:
Similarly, it can be deduced that the insulation of
RB and
RC decreases when the separate leakage of the
B phase and the
C phase occurs. If the insulation resistance after the decrease is set to
RB′ and
RC′, then
is as follows, respectively:
2.2.2. Two-Phase Leakage
When a two-phase leakage fault occurs in the
A and
B phases, the insulation of
RA and
RB decreases, and the insulation resistance of
RC can be equivalent to infinity. Therefore, the formula of
changes as follows:
When a two-phase leakage occurs, the insulation resistance is the parallel resistance of the two phases, which is set to
/2, simplified to obtain
2.2.3. Three-Phase Leakage
When an
A,
B, and
C three-phase leakage fault occurs, the insulation resistance is a three-phase resistance in parallel, which is set to
/3,
as follows:
where
= 0, simplifies the above equation:
Formulas (6) to (12) define the relationship between the voltage and the equivalent insulation resistance under various leakage fault conditions. The value of can be determined using the capacitance and measured by a current transformer. By substituting these seven-fault state mathematical models into the calculations, the insulation resistance can be solved and compared with the preset action threshold values to determine whether a leakage fault has occurred.
2.3. Validation of 3AC Mathematical Model
Simulink is used to build a simulation model of the power supply system incorporating additional three-phase asymmetric capacitors. The parameters defined in the mathematical model are utilized in this simulation. The simulation diagram is shown in
Figure 3:
When the system is under normal operation, the
, its waveform, effective value, and phase angle are shown in
Figure 4:
Through the simulation results, it can be observed that under the normal operation of the system, the amplitude and phase angle of the artificially manufactured zero-sequence remain basically constant, with no significant fluctuation or change. Specifically, in real operational conditions, the RMS value of the zero-sequence current is maintained at approximately 25 mA, and the phase angle remains steady at around 90 degrees. This phenomenon shows that the system using the 3AC method can effectively maintain the stability of the zero-sequence current under normal operating conditions and is not influenced by external factors. Such consistency ensures the reliability of this leakage protection method, providing a dependable safeguard against potential electrical hazards.
Taking the phase A leakage fault as an example, the insulation resistance is set to 20 kΩ, and the simulation is carried out. The results are shown in
Figure 5.
A phase A leakage of 1.5 s occurs, and its phase angle and amplitude change significantly, that is, leakage fault occurs.
The formula script of is written in Matlab script, and the relationship between insulation resistance, amplitude, and phase under different leakage faults is drawn.
As shown in
Figure 6, the colors in the upper right corner correspond to their respective fault modes. The dark blue line in the figure is the amplitude and phase of the
of the phase A leakage fault. Observing the point of 20 kΩ, it can be seen that the amplitude is about 25 mA, and the phase angle is about 137 degrees. The calculation results are basically consistent with the data obtained by simulation. Then, the
under different leakage conditions is simulated, and the calculated
is compared. The results are largely consistent, thereby validating the correctness of Formula (5).
3. Phase Selection of Leakage Fault Based on 3AC Detection Method
The leakage protection devices currently in use do not have the function of fault phase selection, which does not facilitate efficient fault repair. The leakage protection method based on the 3AC detection method can provide a criterion for selecting the fault phase.
We replaced the in the case of the phase A leakage fault into the formula under different leakage conditions and substituted different insulation resistance values, which are taken as 1000 Ω, 2000 Ω, 10 kΩ, 20 kΩ, 24 kΩ, and 100 MΩ, respectively. Among them, the 100 MΩ is equivalent to the case of infinite insulation resistance, that is, no insulation degradation occurs.
Using the
calculation formula of the phase A insulation drop, the
is calculated, and then it is substituted into the calculation formula of the seven fault types, and the real and imaginary parts of
Rd (phase A leakage) are obtained as shown in
Table 1 and
Table 2.
It can be observed that in all simulated leakage cases, only when phase A leakage occurs, the imaginary part of the complex result calculated by the formula is the smallest. Under the current numerical accuracy, the result is close to zero, so the absolute value of the imaginary part in this case is the smallest, and the size of the real part is consistent with the preset leakage resistance value. This is accurate feedback to the mathematical model, which verifies the effectiveness and accuracy of this method. That is, in the actual detection process, the leakage fault of a certain phase can be quickly and accurately located by finding the measurement results that have a very small imaginary part (which can be approximated to zero), and the real part matches the expected leakage resistance value.
From this, we conclude the following:
is calculated by the measured
because the
has been deduced in detail to obtain its calculation formula:
therefore,
Using the measured , is calculated, and then the is substituted into the function of seven kinds of and insulation resistance, and the insulation resistance in the complex form is inversely derived. Comparing the ‘complex resistance’ of the seven calculation results, since the real resistance cannot be complex, shows that only the real part of the ‘complex resistance’ whose imaginary part is close to ‘0’ is the insulation resistance when the leakage fault occurs in the system. In this way, not only is the insulation resistance value obtained, but also the phase selection of leakage fault is realized. By analogy, the insulation resistance calculation results of several other leakage conditions can be obtained, which is no longer repeated.
4. Simulation Verification
Because the theoretical analysis of the previous section is in the ideal case, the calculated does not consider the actual working conditions. This section will simulate the actual working conditions, collect the current generated by the additional three-phase asymmetric capacitor, and then calculate the insulation resistance Rd.
Continuing to use the power supply system simulation model using the 3AC method, the simulation operation needs to record seven fault conditions, and six sets of insulation resistance data under each condition. The insulation drops to 1 kΩ, 2 kΩ, 10 kΩ, 20 kΩ, 24 kΩ, and 100 kΩ. These six cases are closer to the 1140 V insulation resistance setting value of 20 kΩ, so it is more reference. By writing Matlab script code, the system experiences the above seven kinds of leakage faults in turn. When each fault occurs, six different sets of insulation resistance data are substituted into the model respectively, which means that the whole simulation process will run 42 times. In this way, we can analyze the behavior of the system under different conditions in detail.
Taking phase A leakage as an example, simulation research is carried out. The simulation results are shown in the figure. In this diagram, the X axis represents the real part of the calculated insulation resistance, while the Y axis represents the imaginary part of the insulation resistance. In order to clearly distinguish different leakage faults, a variety of colors are used to represent different resistance values. In addition, each fault type is identified by a unique icon, which makes the results more intuitive and easier to understand. The simulation results of the phase A leakage fault are shown in the following figure.
In view of the fact that the real and imaginary parts of the insulation resistance in the complex form cannot be negative, all measurement results with real or imaginary parts less than zero should be excluded in the analysis process. As shown in
Figure 7, when the insulation performance is reduced to 1 kΩ (corresponding to the blue icon in the figure), the imaginary part of the complex resistance calculated by the phase A leakage model is closest to the zero value.According to this, it can be judged that the real part represents the actual insulation resistance value, which is 1008 Ω, and the error is 0.8%. Similarly, when the insulation level is reduced to 24 kΩ (corresponding to the orange icon in the figure), the imaginary part of the complex resistance obtained by the phase A leakage model is also closest to zero, thus confirming that the real part is the actual insulation resistance value, that is, 25,182 Ω, and the corresponding calculation error is 4.9%.
Taking the 1 kΩ leakage fault as an example, the calculation results of insulation resistance under different types of leakage faults are simulated. The results are shown in the following table.
Formula (1) to Formula (7) sequentially represent the following: A phase, B phase, C phase, AB phase, BC phase, AC phase, and ABC phase leakage.
After observing the data in the table and excluding the simulation results that do not meet the conditions, we adhered to the following rules: Among the calculation results of various hypothetical leakage conditions, we noted which hypothesis had the smallest ratio of the imaginary part to the real part, and confirmed that the hypothesis was valid. As shown in
Table 3, for an A-phase leakage, the minimum imaginary part is calculated using Formula (1), and its real part matches the preset leakage resistance. As shown in
Table 4, for a B-phase leakage, the minimum imaginary part is calculated using Formula (2), and its real part also matches the preset leakage resistance. Similarly, this can be observed in
Table 5,
Table 6,
Table 7 and
Table 8. As shown in
Table 9, when a 1 kΩ three-phase leakage fault occurs in the ABC phase, the corresponding assumption in Formula (7) is that the “imaginary part:real part” ratio in the ABC phase leakage is the minimum value, confirming that the hypothesis is valid, with the leakage resistance being 992 Ω. Compared with the theoretical calculation result of 1000 Ω, the error is 0.8%.
5. Conclusions
A set of asymmetric three-phase capacitors with appropriate parameters are added at the head of the line of the power supply system, and a constant zero-sequence current is artificially generated in the system. This current can be effectively detected even when the symmetry of the three-phase insulation performance decreases, which is the core innovation of this method. The relationship formulas between , Rd, and in seven typical leakage fault forms are derived by a mathematical model. The current phasor and system phase voltage phasor directly measured by sampling are substituted into seven formulas, respectively, and seven groups of resistance complex numbers are calculated and then screened according to the characteristics. The calculation results with a negative real part and an imaginary part are excluded, and then the results with the positive real part and imaginary part are compared. The real part of the ‘complex resistance’ corresponding to the minimum imaginary part is the real insulation resistance value, and the calculation formula corresponding to the calculation result is also the type of leakage fault that occurred in the system. This method can not only detect single-phase leakage fault but can also realize the detection of a three-phase uniform leakage fault and can determine the fault type and fault phase line. It is a new leakage protection method using simple hardware circuit to realize complex protection function. Although adding asymmetric three-phase capacitors at the beginning of the line may have some impact on the system, these impacts can be controlled through reasonable parameter selection and design. Moreover, in practice, the three-phase-to-ground distributed capacitance of a line is often inherently asymmetric. Therefore, adding an appropriate asymmetric capacitor at the beginning of the line would not cause significant issues. When designing the 3AC leakage protection device, the key lies in selecting suitable, current transformers, voltage transformers, signal conditioning circuits, microcontrollers, and other necessary hardware components, and developing the correct computational logic to ensure the system’s reliability and accuracy.
Author Contributions
Conceptualization, S.P., Y.W. and T.M.; Methodology, T.M.; Software, J.C.; Formal analysis, J.C.; Investigation, J.C. and T.M.; Writing—original draft, S.P.; Writing—review & editing, Y.W., J.C. and T.M.; Project administration, Y.W.; Funding acquisition, S.P. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the National Natural Science Foundation of China under Grant 52474188.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.
Conflicts of Interest
Author Tong Ma was employed by the company State Grid Beijing Electric Power Company Maintenance Branch. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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