Coal mine power supply and distribution network loss monitoring system

Abstract

The invention discloses a coal mine power supply and distribution network loss monitoring system, relates to the technical field of power grid loss monitoring, and solves the technical problems that it is difficult to comprehensively collect electric quantity data of different time periods and nodes in real time, calculation of power grid loss lacks accuracy and timeliness, and resource waste is caused. The method can collect the electric quantity and electrical parameters of different time periods and nodes, select different statistical periods according to actual demands, accurately calculate the power consumption of the power grid, position the part with too high loss, distinguish whether the overall loss is too large or the branch loss is too large, calculate the resistance and adjust the voltage in combination with the minimum threshold value, and track the resistance change in a time period. The voltage is dynamically adjusted, effective control over the overall loss of the power distribution network is achieved, a secondary analysis signal is generated for the situation exceeding the voltage range, branch load distribution is optimized through branch transfer matching, and branch loss is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid loss monitoring, and particularly to a coal mine power supply and distribution network loss monitoring system. Background Art

[0002] With the improvement of coal mine mining capacity, the energy consumption of enterprises is also increasing, and the demand for energy conservation and energy conservation management is getting higher and higher. Although the profits of coal mine enterprises have recovered to some extent, being prepared for danger in times of safety and avoiding energy waste and achieving all-round energy conservation are still the main themes of the production and development of coal mine enterprises. During the operation of the coal mine power supply and distribution network, effectively monitoring and reducing power grid losses is crucial for improving energy utilization efficiency and ensuring the stable operation of the power supply and distribution network.

[0003] According to the patent application with the publication number CN205506929U, a power grid line loss monitoring system is disclosed, which includes a line loss monitoring device and a plurality of power consumption data acquisition devices communicatively connected to the line loss monitoring device. The plurality of power consumption data acquisition devices are respectively arranged at a plurality of metering points and are connected to the power meters at the metering points through a data bus. The line loss monitoring device includes a housing, a circuit board arranged inside the housing, and a display device arranged outside the housing. The circuit board is provided with a power consumption data acquisition chip, a power consumption data processing chip, and a line loss calculation chip that are connected to each other through a data line. The line loss calculation chip is respectively connected to a storage chip card and a display device through a data line.

[0004] The above patent obtains power consumption information, obtains the power consumption settlement time through a clock chip, thereby obtains the user's power consumption within the power consumption settlement time and locates through a GPS positioning chip to obtain line loss calculation data, and calculates the obtained line loss calculation data. When it is greater than the threshold, an alarm is issued.

[0005] However, when some existing loss monitoring systems are in use, it is difficult to comprehensively and real-time collect power consumption data at different times and nodes, and the calculation of power grid losses lacks accuracy and timeliness. Therefore, it will cause excessive energy consumption losses in the distribution network and result in waste of resources. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides a coal mine power supply and distribution network loss monitoring system, which solves the problems of difficult to comprehensively and real-time collect power consumption data at different times and nodes, the calculation of power grid losses lacks accuracy and timeliness, and results in waste of resources.

[0007] To achieve the above object, the present invention is realized through the following technical solutions: A coal mine power supply and distribution network loss monitoring system, comprising:

[0008] The loss monitoring and analysis module is used to calculate the loss power of the distribution network according to the sensor data transmitted by the distribution network data acquisition module, compare it with the minimum threshold to obtain a loss anomaly signal and conduct a secondary analysis, compare the power data of different nodes with the loss threshold, determine the corresponding loss causes, generate overall loss analysis information or branch loss analysis information, and transmit them respectively;

[0009] The overall loss regulation module is used to process the obtained overall loss analysis information, calculate the regulated voltage based on the minimum threshold as the standard, generate voltage regulation information, analyze the resistance change value of the distribution network within the time period at the same time, and calculate the regulated voltage for different time periods according to different resistance change values, and generate voltage period regulation information;

[0010] The branch loss regulation module is used to process the obtained branch loss analysis information, determine the abnormal branch, calculate the corresponding regulated voltage, compare it with the threshold voltage to generate a secondary analysis signal and conduct processing, compare the remaining load of the normal branch and the branch load of the abnormal branch, transfer and match them from large to small, generate branch transfer information, and transmit it to the monitoring analysis information output module.

[0011] As a further solution of the present invention, it further includes a distribution network data acquisition module, which is used to collect the sensor data installed on the distribution network and transmit it to the loss monitoring and analysis module;

[0012] The sensor data includes line current, voltage, resistance, and power.

[0013] As a further solution of the present invention, the specific method for the loss monitoring and analysis module to obtain the loss anomaly signal is as follows:

[0014] The smart meter collects the power data of different time periods and nodes, statistically analyzes them according to preset cycles such as hours, days, weeks, and months, collects the data of each node at set intervals through the communication interface, sums up the positive active power of the power supply side to obtain the total power supply, sums up the reverse active power of the power consumption side to obtain the total power consumption, and the difference between the two is the power loss of the power grid;

[0015] Compare the loss power with the minimum threshold. If the loss power is greater than the threshold, generate a loss anomaly signal and conduct a secondary analysis; if it is less than the threshold, generate a normal monitoring signal and transmit it to the monitoring analysis information output module.

[0016] As a further solution of the present invention, the specific method for the loss monitoring and analysis module to conduct a secondary analysis on the loss anomaly signal is as follows:

[0017] Obtain the power data of different nodes of the distribution network, calculate the loss power of each node, and compare it with the minimum loss threshold of the branch line;

[0018] If the power consumption of all nodes is less than the threshold value, generate overall loss analysis information and transmit it to the overall loss adjustment module. If the loss of any node is greater than the threshold value, generate branch loss analysis information and transmit it to the branch loss adjustment module.

[0019] As a further solution of the present invention, the specific way for the overall loss adjustment module to process the overall loss analysis information is as follows:

[0020] Obtain the overall voltage and current parameters of the distribution network. Based on the minimum threshold value, calculate the overall resistance R of the distribution network through the formula U = IR, and then according to the formula Obtain the adjusted voltage U1, generate voltage adjustment information, and transmit it to the monitoring and analysis information output module;

[0021] Taking the time t as a cycle, obtain the change value of the distribution network resistance, adjust the voltage in different cycles accordingly, generate voltage cycle adjustment information, and transmit it to the monitoring and analysis information output module.

[0022] As a further solution of the present invention, the specific way for the branch loss adjustment module to process the branch loss analysis information is as follows:

[0023] Obtain all branch information, determine the abnormal branches, mark them as i, and i = 1, 2,..., j, where j is the number of abnormal branches. For each abnormal branch i, obtain its rated voltage and real-time voltage, and calculate the adjusted voltage with the loss threshold as the standard;

[0024] Taking ±10% of the rated voltage as the threshold voltage, compare the relationship between the adjusted voltage and the threshold voltage. If the adjusted voltage is higher than the threshold, generate a secondary analysis signal and perform analysis synchronously. If the adjusted voltage is lower than the threshold, generate voltage adjustment information and transmit it to the monitoring and analysis information output module.

[0025] As a further solution of the present invention, the specific way for the branch loss adjustment module to synchronously analyze the secondary analysis signal is as follows:

[0026] Obtain the abnormal branches, denoted as the branches to be analyzed. At the same time, obtain the normal branches with the power consumption within the threshold range, respectively count the remaining loads of the normal branches and the branch loads of the branches to be analyzed, and sort them from large to small;

[0027] According to the sorting result, perform transfer matching on the branches to be analyzed and the normal branches that meet the matching conditions, generate branch transfer information, and transmit it to the monitoring and analysis information output module.

[0028] As a further solution of the present invention, it further includes a monitoring and analysis information output module, which is used to display the obtained voltage adjustment information and branch transfer information to the corresponding management personnel.

[0029] The present invention provides a loss monitoring system for a coal mine power supply and distribution network. Compared with the prior art, it has the following beneficial effects:

[0030] Through intelligent electricity meters and sensors, the present invention can collect the electricity consumption and electrical parameters at different times and nodes, select different statistical periods according to actual needs, accurately calculate the power grid loss electricity, compare the loss electricity with the minimum threshold, quickly judge whether the overall loss of the distribution network is normal, conduct secondary analysis on the abnormal loss signal, and combine the comparison of the node loss electricity with the loss threshold to accurately locate the part with excessive loss and distinguish whether it is the overall loss or the branch loss that is too large.

[0031] The overall loss adjustment module of the present invention calculates the resistance and adjusts the voltage based on the parameters such as the voltage and current of the entire distribution network in combination with the minimum threshold, tracks the change of the resistance with a time period, dynamically adjusts the voltage, and effectively controls the overall loss of the distribution network. The branch loss adjustment module calculates and adjusts the voltage for the abnormal branch in combination with the rated voltage, real-time voltage and loss threshold, and reasonably adjusts within the voltage range allowed by the equipment. For the situation beyond the voltage range, a secondary analysis signal is generated, and through branch transfer matching, the branch load distribution is optimized to reduce the branch loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0034] Embodiment 1

[0035] Please refer to Figure 1 , this application provides a loss monitoring system for a coal mine power supply and distribution network, including: a distribution network data acquisition module, a loss monitoring and analysis module, a branch loss adjustment module, an overall loss adjustment module and a monitoring and analysis information output module, and it can be known in combination with Figure 1 that the above functional modules are connected in a one-way electrical connection.

[0036] The distribution network data acquisition module is used to collect the data of the sensors installed on the distribution network and transmit it to the loss monitoring and analysis module, where the sensor data includes line current, voltage, resistance and power.

[0037] Loss monitoring and analysis module, which is used to calculate the overall loss power of the distribution network based on the acquired sensor data, and the specific calculation method is as follows:

[0038] By statistically analyzing the power consumption data of different time periods and different nodes collected by smart meters, different time periods such as hours, days, weeks, and months can be selected for statistics according to actual needs. For example, if you want to analyze the short-term loss situation of the power grid, you can choose hours or days as the unit; if you want to evaluate the long-term loss trend, you can choose months or years as the unit. Through the communication interface of the smart meter, collect the power consumption data of each node at a set time interval, including forward active power (power supply) and reverse active power (power consumption) and other information. Summarize the forward active power recorded by all smart meters on the power supply side to obtain the total power supply during this time period. Summarize the reverse active power recorded by all smart meters on the power consumption side to obtain the total power consumption. Subtract the two to get the loss power of the power grid.

[0039] For example, in a coal mine's power supply and distribution network in one day, the total power supply is 10,000 kWh and the total power consumption is 9,500 kWh. Then the loss power of the power grid on that day is 10,000 - 9,500 = 500 kWh.

[0040] Compare the obtained loss power with the minimum threshold, and the value of the minimum threshold is set by the operator according to the actual working conditions of the distribution network. If the loss power is greater than the minimum threshold, it means that the overall loss of the distribution network is too high, and a loss anomaly signal is generated, and then a secondary analysis is performed on it. On the contrary, if the loss power is less than the minimum threshold, it means that the overall loss of the distribution network is normal, and a normal monitoring signal is generated, and at the same time, the normal monitoring signal is transmitted to the monitoring and analysis information output module.

[0041] With the help of intelligent monitoring devices installed at each key node of the distribution network, continuously and real-time collect electrical parameters such as voltage, current, and power, and calculate the loss power of the distribution network accordingly. Compare the calculated loss power with the minimum threshold set by the operator based on the actual working conditions, historical data, and operation experience of the distribution network.

[0042] If the loss power > the minimum threshold, the system determines that the overall loss of the distribution network is too high, generates a loss anomaly signal, starts the secondary analysis process, and records the abnormal information in the abnormal event log.

[0043] If the loss power ≤ the minimum threshold, the system determines that the overall loss of the distribution network is normal, generates a normal monitoring signal, and transmits the signal to the monitoring and analysis information output module.

[0044] Analyze the obtained abnormal loss signals, obtain the power consumption data of different nodes in the distribution network, calculate the node loss power corresponding to different nodes, and at the same time compare it with the corresponding loss threshold. Here, the loss threshold is the minimum loss on the branch line. If the node loss power of all nodes is less than the loss threshold, it means that the overall loss of the distribution network is too large, and generate overall loss analysis information. On the contrary, if the loss of any node is greater than the loss threshold, it means that there is a situation where the branch loss is too large, and generate branch loss analysis information;

[0045] Once the system generates an abnormal loss signal, immediately conduct a comprehensive collection of the power consumption data of different nodes in the distribution network, and accurately calculate the node loss power corresponding to each node. Compare the node loss power of each node with the minimum loss threshold of the pre-set branch line. Here, the loss threshold will be dynamically adjusted according to factors such as line type, length, and load characteristics;

[0046] If the node loss power of all nodes < the loss threshold, the system determines that the overall loss of the distribution network is too large, and generates overall loss analysis information, detailing the extent of the loss exceeding the normal range and the possible affected areas;

[0047] If the node loss power of any node ≥ the loss threshold, the system determines that there is a situation where the branch loss is too large, and generates branch loss analysis information, accurately locating the branch node and related lines with excessive loss;

[0048] Then transmit the obtained overall loss analysis information to the overall loss adjustment module, and transmit the branch loss analysis information to the branch loss adjustment module.

[0049] Embodiment 2

[0050] As Embodiment 2 of the present invention, it is implemented on the basis of Embodiment 1, and the difference from Embodiment 1 is as follows:

[0051] Overall loss adjustment module, which is used to process the obtained overall loss analysis information, obtain the voltage and current parameters of the entire distribution network, and at the same time take the minimum threshold as the standard, calculate the resistance R of the entire distribution network according to the formula U = IR, and then according to the formula Calculate the adjusted voltage U1, generate voltage adjustment information, and transmit it to the monitoring and analysis information output module at the same time;

[0052] Then, taking the time t as the period, obtain the resistance change value of the distribution network, and at the same time obtain the resistance change values corresponding to different time periods t, and adjust the voltage within different time periods based on the obtained resistance change values, generate voltage period adjustment information, and then transmit it to the monitoring and analysis information output module.

[0053] Monitoring and Analysis Information Output Module, which is used to display the obtained voltage regulation information and voltage cycle regulation information to the corresponding operators.

[0054] Embodiment III

[0055] Branch Loss Regulation Module, which is used to process the obtained branch loss analysis information, obtain all branch information, and combine the analysis in Embodiment I to get all abnormal branches, numbered as i, where i = 1, 2, …, j, and j represents the number of abnormal branches. Then, obtain the rated voltage and real-time voltage corresponding to the abnormal branch i, and calculate the regulation voltage of the abnormal branch i with the loss threshold as the standard. The calculation method here is the same as that in Embodiment II. Compare the obtained regulation voltage with the threshold voltage, and the threshold voltage here is expressed as within ±10% of the rated voltage. For multiple branches with excessive losses, if their voltages are low, the operating voltage can be appropriately increased, but it is necessary to ensure that it is within the voltage range allowed by the equipment, generally controlled within ±10% of the rated voltage;

[0056] If the regulation voltage is greater than the threshold voltage, it means that adjusting the abnormal branch with the regulation voltage will cause a voltage load situation and generate a secondary analysis signal. On the contrary, if the regulation voltage is less than the threshold voltage, it means that adjusting the abnormal branch with the regulation voltage can meet the regulation situation of the abnormal branch, generate voltage regulation information, and transmit it to the Monitoring and Analysis Information Output Module at the same time;

[0057] Suppose there are 3 abnormal branches in a distribution network, denoted as Branch 1, Branch 2, and Branch 3 respectively. For Branch 1, its rated voltage is obtained as 10 kV, the real-time voltage is 9.2 kV, and the loss threshold is 50 kW. The regulation voltage is calculated using the neural network algorithm to get 10.5 kV. Since 10.5 kV is within the ±10% range of 10 kV but close to the upper limit, it is necessary to further evaluate its impact on the surrounding power grid. After analysis, it is confirmed that there will be no negative impact on the surrounding power grid after adjustment. Therefore, voltage regulation information is generated, and the regulation voltage of 10.5 kV is transmitted to the Monitoring and Analysis Information Output Module.

[0058] For Branch 2, the rated voltage is 10 kV, the real-time voltage is 8.8 kV, and the loss threshold is 40 kW. The calculated regulation voltage is 11 kV, which exceeds the ±10% range of 10 kV. At this time, a secondary analysis signal is generated to notify the operation and maintenance personnel to re-evaluate the voltage regulation plan for Branch 2. It may be necessary to replace the aging line or increase reactive power compensation equipment;

[0059] For branch 3, the rated voltage is 10 kV, the real-time voltage is 9.5 kV, the loss threshold is 30 kW, and the calculated regulated voltage is 9.8 kV, which is within the range of ±10% of 10 kV and can meet the regulation requirements of the branch. Therefore, voltage regulation information is generated and the regulated voltage of 9.8 kV is transmitted to the monitoring and analysis information output module.

[0060] Next, the generated secondary analysis signal is processed to obtain the corresponding abnormal branch and denoted as the branch to be analyzed, and all normal branches are obtained. Here, the normal branch means that the loss power is within the corresponding loss threshold range. At the same time, the remaining load corresponding to the normal branch is obtained and sorted from largest to smallest. Then, the branch to be analyzed and the corresponding branch load are obtained and sorted from largest to smallest.

[0061] Suppose there are 5 branches in a certain distribution network. Branches 1 and 2 are abnormal branches, and branches 3, 4, and 5 are normal branches. The relevant data of each branch is shown in the following table

[0062] Branch number Power loss (KW) Power loss threshold (KW) Remaining load (KW) Load fluctuation coefficient 1 80 60 0.8 2 50 40 0.6 3 30 50 50 0.3 4 20 40 30 0.4 5 10 30 20 0.2

[0063] According to the optimized process, first, it is determined that branches 1 and 2 are the branches to be analyzed, and branches 3, 4, and 5 are normal branches. The normal branches are sorted from largest to smallest according to the remaining load, and combined with the weight coefficient. Since branch 3 is connected to the residential load and has better stability, a higher weight is given, and the sorting is branch 3, 4, 5. The branches to be analyzed are sorted comprehensively according to the load and loss rate. The loss rate of branch 1 is (80 - 60) / 60 ≈ 33.3%, and the loss rate of branch 2 is (50 - 40) / 40 = 25%, so the sorting is branch 1, 2.

[0064] Next, according to the obtained sorting order, the branches to be analyzed are transferred and matched with the normal branches to obtain the regulated branch. Here, the branches that meet the matching conditions are matched. For example, when branch 1 is matched, it is matched with the corresponding branch 3, and branch 2 is matched with the corresponding branch 4. Here, the matching means that the remaining load of the normal branch is greater than the overall load of the branch to be analyzed. At the same time, branch transfer information is generated and transmitted to the monitoring and analysis information output module.

[0065] The monitoring and analysis information output module is used to display the obtained branch transfer information to the corresponding operation and management personnel.

[0066] Embodiment 4

[0067] As Embodiment 4 of the present invention, the key lies in combining the implementation processes of Embodiment 1, Embodiment 2, and Embodiment 3.

[0068] For some of the data in the above formula, only their numerical values are taken for calculation, and the parameter units are not substituted for calculation. At the same time, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0069] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A coal mine power supply and distribution network loss monitoring system, characterized in that, Including: A loss monitoring and analysis module, which is used to calculate the loss power of the distribution network according to the sensor data transmitted by the distribution network data acquisition module, compare it with the minimum threshold to obtain a loss anomaly signal and conduct secondary analysis, compare the power data of different nodes with the loss threshold to determine the corresponding loss cause, generate overall loss analysis information or branch loss analysis information, and transmit them respectively; An overall loss adjustment module, which is used to process the obtained overall loss analysis information, calculate the adjusted voltage based on the minimum threshold as the standard, generate voltage adjustment information, analyze the resistance change value of the distribution network within the time period at the same time, and calculate the adjusted voltage for different time periods according to different resistance change values to generate voltage period adjustment information; A branch loss adjustment module, which is used to process the obtained branch loss analysis information, determine the abnormal branch, calculate the corresponding adjusted voltage, generate a secondary analysis signal and process it by comparing with the threshold voltage, compare the remaining load of the normal branch and the branch load of the abnormal branch, transfer and match them from large to small, generate branch transfer information, and transmit it to the monitoring and analysis information output module.

2. The loss monitoring system for coal mine power supply and distribution network according to claim 1, characterized in that It also includes a distribution network data acquisition module, which is used to collect the sensor data installed on the distribution network and transmit it to the loss monitoring and analysis module; Among them, the sensor data includes line current, voltage, resistance and power.

3. A coal mine power supply and distribution network loss monitoring system according to claim 1, characterized in that, The specific way for the loss monitoring and analysis module to obtain the loss anomaly signal is: The smart meter collects the power data of different time periods and nodes, statistically processes them according to preset cycles such as hours, days, weeks, months, etc., collects the data of each node at a set interval through the communication interface, sums up the positive active power of the power supply side to obtain the total power supply, sums up the reverse active power of the power consumption side to obtain the total power consumption, and the difference between the two is the power loss of the power grid; Compare the loss power with the minimum threshold. If the loss power is greater than the threshold, generate a loss anomaly signal and conduct secondary analysis; if it is less than the threshold, generate a normal monitoring signal and transmit it to the monitoring and analysis information output module.

4. A coal mine power supply and distribution network loss monitoring system according to claim 3, characterized in that, The specific way for the loss monitoring and analysis module to conduct secondary analysis on the loss anomaly signal is: Obtain the power data of different nodes in the distribution network, calculate the loss power of each node, and compare it with the minimum loss threshold of the branch line; If the loss power of all nodes is less than the threshold, generate overall loss analysis information and transmit it to the overall loss adjustment module. If the loss of any node is greater than the threshold, generate branch loss analysis information and transmit it to the branch loss adjustment module.

5. A coal mine power supply and distribution network loss monitoring system according to claim 1, characterized in that, The specific way for the overall loss adjustment module to process the overall loss analysis information is: Obtain the overall voltage and current parameters of the distribution network. Based on the minimum threshold, calculate the overall resistance R of the distribution network through the formula U = IR, and then according to the formula obtain the regulated voltage U1, generate voltage regulation information, and transmit it to the monitoring and analysis information output module; Taking time t as the cycle, obtain the resistance change value of the distribution network, adjust the voltage in different cycles accordingly, generate voltage period adjustment information, and transmit it to the monitoring and analysis information output module.

6. The loss monitoring system for coal mine power supply and distribution network according to claim 1, characterized in that, The specific way for the branch loss adjustment module to process the branch loss analysis information is: Obtain all branch information, determine the abnormal branch, mark it as i, and i = 1, 2,..., j, where j is the number of abnormal branches. For each abnormal branch i, obtain its rated voltage and real-time voltage, and calculate the adjusted voltage based on the loss threshold as the standard; Take ±10% of the rated voltage as the threshold voltage, and compare the relationship between the regulated voltage and the threshold voltage. If the regulated voltage is higher than the threshold, generate a secondary analysis signal and perform analysis synchronously. If the regulated voltage is lower than the threshold, generate voltage regulation information and transmit it to the monitoring and analysis information output module.

7. The loss monitoring system for a coal mine power supply and distribution network according to claim 6, wherein The specific method for the branch loss regulation module to synchronously analyze the secondary analysis signal is as follows: Obtain the abnormal branch, denoted as the branch to be analyzed. At the same time, obtain the normal branches with the loss power within the threshold range, respectively count the remaining load of the normal branches and the branch load of the branch to be analyzed, and sort them from largest to smallest; According to the sorting result, perform transfer matching between the branch to be analyzed that meets the matching conditions and the normal branches, generate branch transfer information, and transmit it to the monitoring and analysis information output module.

8. A coal mine power supply and distribution network loss monitoring system according to claim 7, characterized in that, It also includes a monitoring and analysis information output module, which is used to display the obtained voltage regulation information and branch transfer information to the corresponding management personnel.

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