A real-time dynamic monitoring method and system for power system based on Internet of Things

Abstract

The present invention provides a real-time dynamic monitoring method and system for an electric power system based on the Internet of Things, which relates to the technical field of electric power systems, including: obtaining real-time transmission line parameters and standard transmission line parameters; determining a loss monitoring score according to the real-time transmission line parameters and the standard transmission line parameters; obtaining real-time electrical characteristic parameters and standard electrical characteristic parameters of the electric power system; determining an electrical monitoring score according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters; obtaining real-time generator parameters and standard generator parameters; obtaining real-time transformer parameters and standard transformer parameters; determining an equipment monitoring score according to real-time generator parameters, standard generator parameters, real-time transformer parameters and standard transformer parameters; generating a maintenance work order and an early warning according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score and sending them to an Internet of Things server. According to the present invention, the comprehensiveness and accuracy of electric power system monitoring can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a real-time dynamic monitoring method and system for power systems based on the Internet of Things. Background Art

[0002] In the related art, the real-time dynamic monitoring of the power system mainly relies on manual monitoring, which is inefficient, has certain subjectivity and inaccuracy, and cannot comprehensively monitor the status of the power system.

[0003] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0004] The present invention provides a real-time dynamic monitoring method and system for an electric power system based on the Internet of Things, which can solve the technical problem that it is difficult to comprehensively monitor the state of the electric power system.

[0005] According to a first aspect of the present invention, there is provided a method for real-time dynamic monitoring of a power system based on the Internet of Things, comprising:

[0006] At multiple moments in the current monitoring cycle, real-time transmission line parameters and standard transmission line parameters of the power system are obtained, wherein the real-time transmission line parameters include real-time resistance, real-time inductance and real-time capacitance of the transmission line, and the standard transmission line parameters include standard resistance, standard inductance and standard capacitance of the transmission line;

[0007] Determining a loss monitoring score of the power system according to the real-time transmission line parameters and the standard transmission line parameters;

[0008] At multiple moments in the current monitoring cycle, real-time electrical characteristic parameters and standard electrical characteristic parameters of the power system are obtained, wherein the real-time electrical characteristic parameters include the real-time voltage, real-time frequency and real-time load value of the power system, and the standard electrical characteristic parameters include the standard voltage, standard frequency and standard load value of the power system;

[0009] Determining an electrical monitoring score of the power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters;

[0010] At multiple moments in the current monitoring cycle, real-time generator parameters and standard generator parameters of the power system are obtained, wherein the real-time generator parameters include real-time mechanical power, real-time electrical power and real-time speed of the generator, and the standard generator parameters include standard efficiency and standard speed of the generator;

[0011] At multiple moments in the current monitoring cycle, real-time transformer parameters and standard transformer parameters of the power system are obtained, wherein the real-time transformer parameters include the real-time transformation ratio, real-time no-load loss and real-time load loss of the transformer, and the standard transformer parameters include the standard transformation ratio, standard no-load loss and standard load loss of the transformer;

[0012] Determining an equipment monitoring score of the power system according to the real-time generator parameter, the standard generator parameter, the real-time transformer parameter and the standard transformer parameter;

[0013] A maintenance work order and an early warning are generated based on the loss monitoring score, the equipment monitoring score and the electrical monitoring score and sent to an Internet of Things server.

[0014] According to a second aspect of the present invention, there is provided a real-time dynamic monitoring system for a power system based on the Internet of Things, comprising:

[0015] A line parameter module, used to obtain real-time transmission line parameters and standard transmission line parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transmission line parameters include real-time resistance, real-time inductance and real-time capacitance of the transmission line, and the standard transmission line parameters include standard resistance, standard inductance and standard capacitance of the transmission line;

[0016] A loss scoring module, used to determine the loss monitoring score of the power system according to the real-time transmission line parameters and the standard transmission line parameters;

[0017] An electrical parameter module, used to obtain real-time electrical characteristic parameters and standard electrical characteristic parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time electrical characteristic parameters include the real-time voltage, real-time frequency and real-time load value of the power system, and the standard electrical characteristic parameters include the standard voltage, standard frequency and standard load value of the power system;

[0018] An electrical scoring module, used to determine an electrical monitoring score of the power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters;

[0019] A generator parameter module, used to obtain real-time generator parameters and standard generator parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time generator parameters include real-time mechanical power, real-time electrical power and real-time speed of the generator, and the standard generator parameters include standard efficiency and standard speed of the generator;

[0020] A transformer parameter module, used to obtain real-time transformer parameters and standard transformer parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transformer parameters include the real-time transformation ratio, real-time no-load loss and real-time load loss of the transformer, and the standard transformer parameters include the standard transformation ratio, standard no-load loss and standard load loss of the transformer;

[0021] An equipment scoring module, used to determine an equipment monitoring score of the power system according to the real-time generator parameters, the standard generator parameters, the real-time transformer parameters and the standard transformer parameters;

[0022] A maintenance module is used to generate a maintenance work order and an early warning according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score, and send them to the Internet of Things server.

[0023] According to a third aspect of the present invention, there is provided a real-time dynamic monitoring device for an electric power system based on the Internet of Things, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to call the instructions stored in the memory to execute the real-time dynamic monitoring method for an electric power system based on the Internet of Things.

[0024] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method for real-time dynamic monitoring of an electric power system based on the Internet of Things.

[0025] Technical effect: According to the present invention, the power system can be dynamically monitored in real time through the three aspects of transmission loss status, power equipment status and electrical status, so as to more accurately monitor the overall status of the power system, avoid the subjectivity of manual monitoring, and improve the comprehensiveness and accuracy of power system monitoring. When determining the loss monitoring score, the environmental conditions of the previous monitoring period can be determined as a benchmark based on the influence of temperature, wind and humidity on power consumption. After excluding the influence of environmental conditions, the true value of the total power consumption of the meter in the current monitoring period can be calculated by performing cosine similarity calculation between the real-time transmission line state vector and the standard transmission line state vector. According to this cosine similarity and the ratio of the difference between the total power consumption of the meter in adjacent monitoring periods and the total power consumption of the meter in the current monitoring period, the loss monitoring score of the power system is determined, which improves the scientificity, comprehensiveness and accuracy of the loss monitoring score and objectively reflects the loss status of electricity in transmission and use. When determining the electrical monitoring score, the electrical monitoring score is determined based on the real-time electrical state vector and the standard electrical state vector of the power system at multiple times, and the difference between the electrical state of the power system and the standard electrical state is judged based on the difference between the real-time electrical state vector and the standard electrical state vector, thereby improving the accuracy of the electrical monitoring score. When determining the equipment monitoring score, the cosine similarity calculation can be performed based on the generator state vector, the transformer state vector and the standard generator state vector, and the standard transformer state vector, and the equipment monitoring score is determined based on the minimum value of the cosine similarity of the two devices, so that in the calculation process, the situation where the power equipment state is most different from the standard state is determined, which is convenient for determining the power equipment, thereby improving the accuracy, scientificity and objectivity of the equipment monitoring score.

[0026] It should be understood that the above general description and the following detailed description are exemplary and explanatory only and do not limit the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without creative work.

[0028] Figure 1 A schematic diagram of a flow chart of a method for real-time dynamic monitoring of a power system based on the Internet of Things according to an embodiment of the present invention is exemplarily shown;

[0029] Figure 2A block diagram of a real-time dynamic monitoring system for a power system based on the Internet of Things according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0032] Figure 1 A flow chart of a method for real-time dynamic monitoring of a power system based on the Internet of Things according to an embodiment of the present invention is exemplarily shown, and the method includes:

[0033] Step S101, acquiring real-time transmission line parameters and standard transmission line parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transmission line parameters include real-time resistance, real-time inductance and real-time capacitance of the transmission line, and the standard transmission line parameters include standard resistance, standard inductance and standard capacitance of the transmission line;

[0034] Step S102, determining a loss monitoring score of the power system according to the real-time transmission line parameters and the standard transmission line parameters;

[0035] Step S103, acquiring real-time electrical characteristic parameters and standard electrical characteristic parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time electrical characteristic parameters include the real-time voltage, real-time frequency and real-time load value of the power system, and the standard electrical characteristic parameters include the standard voltage, standard frequency and standard load value of the power system;

[0036] Step S104, determining an electrical monitoring score of the power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters;

[0037] Step S105, acquiring real-time generator parameters and standard generator parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time generator parameters include real-time mechanical power, real-time electrical power and real-time speed of the generator, and the standard generator parameters include standard efficiency and standard speed of the generator;

[0038] Step S106, acquiring real-time transformer parameters and standard transformer parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transformer parameters include the real-time transformation ratio, real-time no-load loss and real-time load loss of the transformer, and the standard transformer parameters include the standard transformation ratio, standard no-load loss and standard load loss of the transformer;

[0039] Step S107, determining an equipment monitoring score of the power system according to the real-time generator parameters, the standard generator parameters, the real-time transformer parameters and the standard transformer parameters;

[0040] Step S108, generating a maintenance work order and an early warning according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score, and sending them to the Internet of Things server.

[0041] According to the real-time dynamic monitoring method of the power system based on the Internet of Things according to the embodiment of the present invention, the power system can be dynamically monitored in real time through three aspects: transmission loss status, power equipment status and electrical status, so as to more accurately monitor the overall status of the power system, avoid the subjectivity of manual monitoring, and improve the comprehensiveness and accuracy of power system monitoring.

[0042] According to one embodiment of the present invention, in step S101, real-time transmission line parameters and standard transmission line parameters of the power system are obtained at multiple moments in the current monitoring cycle, wherein the real-time transmission line parameters include real-time resistance, real-time inductance and real-time capacitance of the transmission line, and the standard transmission line parameters include standard resistance, standard inductance and standard capacitance of the transmission line.

[0043] For example, the aging of transmission lines will lead to a decrease in the transmission efficiency of the lines and create safety hazards. At multiple moments in the current monitoring cycle, the DC bridge method is used to detect the real-time resistance of the transmission line, the frequency scanning method is used to detect the real-time inductance of the transmission line, and the digital multimeter is used to detect the real-time capacitance of the transmission line. Resistance can increase the overall resistance of the circuit and play a role in voltage division and current limiting. Inductance refers to the ability of the transmission line to generate electromagnetic induction, and capacitance refers to the ability of the transmission line to accommodate charge. The real-time resistance, real-time inductance and real-time capacitance are used to judge the ability and safety of the transmission line to transmit electric energy in the current monitoring cycle through the real-time resistance, real-time inductance and real-time capacitance and the resistance, inductance and capacitance under standard conditions. According to the different voltage levels of the power system, the standard value of the AC resistance of the high-voltage line is also different. The standard resistance of a 110 kV transmission line is approximately 0.21 ohms per kilometer, the standard inductance is approximately 0.3 ohms per kilometer, and the standard capacitance is approximately 3*10^(-6) ohms per kilometer.

[0044] According to an embodiment of the present invention, in step S102, a loss monitoring score of the power system is determined based on the real-time transmission line parameters and the standard transmission line parameters.

[0045] According to one embodiment of the present invention, determining a loss monitoring score of a power system according to the real-time transmission line parameters and the standard transmission line parameters includes:

[0046] Obtain the total power consumption of the electric meter in the power supply area during the current monitoring cycle and the previous monitoring cycle;

[0047] At multiple moments in the last monitoring cycle, obtaining historical environmental conditions of the power supply area, wherein the historical environmental conditions include historical temperature, historical humidity, and historical wind speed;

[0048] At multiple moments in the current monitoring cycle, obtaining real-time environmental conditions of the power supply area, wherein the real-time environmental conditions include temperature, humidity and wind speed;

[0049] Determining a real-time transmission line state vector according to the real-time resistance, real-time inductance and real-time capacitance of the transmission line;

[0050] Determining a standard transmission line state vector according to the standard resistance, standard inductance and standard capacitance of the transmission line;

[0051] A loss monitoring score of the power system is determined based on the total power consumption of the electric meter, real-time environmental conditions, historical environmental conditions, real-time transmission line parameters and standard transmission line parameters.

[0052] For example, in the power system, the substation is the power supply range or area of ​​a transformer. The monitoring period can be set to one week, and the total power consumption of the electric meter in the first week and the second week can be obtained respectively; every day in the first week, the historical temperature, historical humidity and historical wind speed of the power supply area are obtained; every day in the second week, the temperature, humidity and wind speed of the power supply area are obtained; the standard transmission line state vector is the standard ability of the transmission line to generate electromagnetic induction, accommodate charge, divide voltage and limit current; the real-time transmission line state vector represents the real-time ability of the transmission line to generate electromagnetic induction, accommodate charge, divide voltage and limit current, as well as the safety status in the current monitoring period.

[0053] According to one embodiment of the present invention, determining the loss monitoring score of the power system according to the total power consumption of the electric meter, the real-time environmental conditions, the historical environmental conditions, the real-time transmission line parameters and the standard transmission line parameters includes: determining the loss monitoring score A of the power system according to formula (1),

[0054]

[0055] Among them, E p is the total electricity consumption of the meter in the current monitoring period, E h is the total electricity consumption of the meter in the previous monitoring cycle, T i，pis the temperature at the i-th moment of the current monitoring period, F i，p is the wind speed at the i-th moment of the current monitoring period, H i，p is the humidity at the i-th moment of the current monitoring period, T i，h is the historical temperature at the i-th moment of the previous monitoring period, F i，h is the historical wind speed at the i-th moment of the previous monitoring period, H i，h is the historical humidity at the i-th moment of the previous monitoring period, R i is the real-time resistance of the transmission line at the i-th moment of the current monitoring cycle, D i is the real-time inductance of the transmission line at the i-th moment of the current monitoring cycle, C i is the real-time capacitance of the transmission line at the i-th moment of the current monitoring cycle, R t is the real-time resistance of the transmission line, D t is the real-time inductance of the transmission line, C t is the real-time capacitance of the transmission line, The real-time transmission line state vector at the i-th moment of the current monitoring period, is the state vector of the standard transmission line, n is the number of moments in the monitoring cycle, i≤n, and both i and n are positive integers.

[0056] According to one embodiment of the present invention, is the cosine similarity between the real-time transmission line state vector at the i-th moment of the current monitoring period and the standard transmission line state vector. The closer this cosine similarity is to 1, the closer the real-time transmission line state at the i-th moment of the current monitoring period is to the standard state. It is the summed average value calculated according to the number of moments in the monitoring cycle, representing the average state of the transmission line at each moment in the current cycle. The larger the average value, the closer the average state of the transmission line is to the standard state. It is the ratio of the temperature at the i-th moment of the current monitoring cycle to the average temperature of multiple moments in the previous monitoring cycle. The closer the ratio is to 1, the smaller the impact of temperature change on power consumption is when the average temperature of the previous monitoring cycle is used as the benchmark. It is the ratio of the wind speed at the i-th moment of the current monitoring period to the average wind speed at multiple moments of the previous monitoring period. The closer the ratio is to 1, the smaller the impact of wind speed changes on power consumption will be when the average wind speed of the previous monitoring period is used as the benchmark. It is the ratio of the humidity at the i-th moment of the current monitoring cycle to the average humidity at multiple moments of the previous monitoring cycle. The closer the ratio is to 1, the smaller the impact of humidity change on power consumption is when the average humidity of the previous monitoring cycle is used as the benchmark. It is the product of the ratio of the temperature, wind speed and humidity at the i-th moment of the current monitoring cycle to the average temperature, average wind speed and average humidity at multiple moments of the previous monitoring cycle. It indicates the impact of the overall environmental conditions at the i-th moment of the current monitoring cycle on the power consumption, based on the average environmental conditions of the previous monitoring cycle. The sum of the average of the impact of the overall environmental conditions at the i-th moment of the current monitoring cycle on the power consumption is calculated according to the number of moments in the monitoring cycle, indicating the average impact of the overall environmental conditions on the power consumption in the current monitoring cycle. Temperature, wind speed and humidity are positively correlated with the total power consumption of the meter. For example, when the temperature data is higher, the air conditioner needs to be turned on for cooling, and the power consumption is greater. When the wind speed data and humidity data are larger, it may be raining outside and lighting is needed, and the power consumption is greater. Therefore, the greater the temperature, wind speed and humidity are relative to the average temperature, average wind speed and average humidity at multiple moments in the previous monitoring cycle, that is, The larger the value is, the greater the total power consumption of the meter is. It is the ratio of the electricity consumption in the current cycle to the average impact of the overall environmental conditions in the current monitoring cycle on the electricity consumption. It represents the true value of the electricity consumption in the current monitoring cycle after excluding the impact of the overall environmental conditions based on the environmental conditions of the previous monitoring cycle on the electricity consumption. It is the difference between the actual value of electricity consumption in the current monitoring period after excluding the influence of the overall environmental conditions on electricity consumption and the total electricity consumption of the meter in the previous monitoring period. It is the ratio of the difference between the actual value of electricity consumption in the current monitoring period after excluding the influence of the overall environmental conditions on electricity consumption and the total electricity consumption of the electric meter in the previous monitoring period, and the total electricity consumption of the electric meter in the previous monitoring period. When the ratio is larger, the relative difference between the electricity consumption data of two adjacent monitoring periods is larger, and the power system may have losses or faults. The loss monitoring score A of the power system is determined based on 1 minus the summed average of the cosine similarity between the real-time transmission line state vector and the standard transmission line state vector. The larger the loss monitoring score, the less likely the power system is to have losses.

[0057] In this way, the environmental conditions of the previous monitoring period can be determined as a benchmark through the influence of temperature, wind and humidity on electricity consumption. After excluding the influence of environmental conditions, the true value of the total electricity consumption of the electric meter in the current monitoring period can be calculated by performing cosine similarity calculation between the real-time transmission line state vector and the standard transmission line state vector. The loss monitoring score of the power system is determined based on this cosine similarity and the ratio of the difference between the total electricity consumption of the electric meters in adjacent monitoring periods and the total electricity consumption of the electric meters in the current monitoring period. This improves the scientificity, comprehensiveness and accuracy of the loss monitoring score and objectively reflects the loss status of electricity in transmission and use.

[0058] According to one embodiment of the present invention, in step S103, real-time electrical characteristic parameters and standard electrical characteristic parameters of the power system are obtained at multiple moments in the current monitoring cycle, wherein the real-time electrical characteristic parameters include the real-time voltage, real-time frequency and real-time load value of the power system, and the standard electrical characteristic parameters include the standard voltage, standard frequency and standard load value of the power system.

[0059] For example, the voltage of the power system refers to the ability of electric charge to move in an electric field. Under standard conditions, the standard voltage of the power grid in households and small commercial power places is 220V AC. If the voltage variation range exceeds ±10% of the standard voltage, it will cause damage to electrical equipment. Therefore, the standard voltage is 220V. The frequency of the power system refers to the stable frequency of AC in the power grid. Under standard conditions, the frequency of the power system should be maintained at 50Hz. If the frequency deviates too far from the standard value, it is easy to cause overload and damage to electrical equipment, thereby causing power system failure. Therefore, the standard frequency is 50HZ. The load of the power system refers to the sum of the electric power taken from the power system by the electrical equipment of the power users. The basic load of the power system refers to the load in the power system that lasts for a long time, is stable, and has a relatively fixed demand. The basic load value of the power system is used as the standard load value.

[0060] According to an embodiment of the present invention, in step S104, an electrical monitoring score of the power system is determined according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters.

[0061] According to one embodiment of the present invention, determining an electrical monitoring score of a power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters includes:

[0062] Determining a real-time electrical state vector of the power system according to the real-time voltage, real-time frequency and real-time load value;

[0063] Determining a standard electrical state vector of the power system according to the standard voltage, standard frequency and standard load value;

[0064] According to formula (2), the electrical monitoring score C of the power system is determined:

[0065]

[0066] Among them, V i is the real-time voltage at the i-th moment of the current monitoring cycle, f i is the real-time frequency at the i-th moment of the current monitoring cycle, L i is the real-time load value at the i-th moment of the current monitoring cycle, V t is the standard voltage, f t is the standard frequency, Lt is the standard load value, is the real-time electrical state vector at the i-th moment of the current monitoring cycle, is the standard electrical state vector, max is the maximum value function, min is the minimum value function, n is the number of moments in the monitoring cycle, i≤n, and i and n are both positive integers.

[0067] According to one embodiment of the present invention, is the maximum value of the modulus of the difference between the real-time electrical state vector and the standard electrical state vector at the i-th moment of the current monitoring cycle, that is, the maximum difference between the electrical parameters and the standard electrical parameters in the current monitoring cycle, is the minimum value of the modulus of the difference between the real-time electrical state vector and the standard electrical state vector at the i-th moment of the current monitoring cycle, that is, the minimum difference between the electrical parameters and the standard electrical parameters in the current monitoring cycle, is the difference between the maximum and minimum values ​​of the modulus of the difference between the real-time electrical state vector and the standard electrical state vector at the i-th moment of the current monitoring cycle, It is the difference between the maximum and minimum values ​​of the modulus of the difference between the real-time electrical state vector and the standard electrical state vector at the i-th moment in the current monitoring cycle, and the ratio of the maximum value of the modulus of the difference between the real-time electrical state vector and the standard electrical state vector at the i-th moment in the current monitoring cycle. After summing and averaging at each moment, the electrical monitoring score is determined by subtracting the average value from 1, so that the greater the difference between the electrical state of the power system and the standard electrical state, the lower the electrical monitoring score, and the smaller the difference between the electrical state of the power system and the standard electrical state, the higher the electrical monitoring score.

[0068] In this way, the electrical monitoring score is determined based on the real-time electrical state vector and the standard electrical state vector of the power system at multiple times, and the difference between the electrical state of the power system and the standard electrical state is judged based on the size of the difference between the real-time electrical state vector and the standard electrical state vector, thereby improving the accuracy of the electrical monitoring score.

[0069] According to one embodiment of the present invention, in step S105, real-time generator parameters and standard generator parameters of the power system are obtained at multiple moments in the current monitoring cycle, wherein the real-time generator parameters include the real-time mechanical power, real-time electrical power and real-time speed of the generator, and the standard generator parameters include the standard efficiency and standard speed of the generator.

[0070] For example, the mechanical power of a generator refers to the mechanical energy power input to the generator, which is an important performance indicator. The electrical power of a generator refers to the electrical energy power output by the generator. The efficiency of the generator is determined according to the ratio of the electrical energy power to the mechanical energy power of the generator. Under standard conditions, the efficiency of the generator is 95%, so the standard efficiency is 95%. The speed of the generator is a key factor in determining the internal transmission rate of the generator. Under standard conditions, under a 50Hz alternating current network, the standard speed of a three-phase AC generator is around 1600 revolutions per minute, so the standard speed is 1600 revolutions per minute.

[0071] According to one embodiment of the present invention, in step S106, real-time transformer parameters and standard transformer parameters of the power system are obtained at multiple moments in the current monitoring cycle, wherein the real-time transformer parameters include the real-time transformation ratio, real-time no-load loss and real-time load loss of the transformer, and the standard transformer parameters include the standard transformation ratio, standard no-load loss and standard load loss of the transformer.

[0072] For example, the transformation ratio of the transformer affects the normal operation of the power equipment, the power transmission efficiency and the voltage stability. In the power distribution equipment, the transformer with the transformation ratio of 1:1 is often used. Therefore, the standard transformation ratio is 1:1. The no-load loss of the transformer mainly depends on the unit loss of the core material, which is generally about 1% of the rated capacity. Therefore, the standard no-load loss is 1%. The load loss of the transformer is generally about 60% of the rated capacity. If the load loss is too low, it may cause the transformer to have excessive temperature rise, winding burnout and other faults. If the load rate is too high, it may cause the transformer to overheat, excessive loss and shorten its service life. Therefore, the standard load loss is 60%.

[0073] According to an embodiment of the present invention, in step S107, the equipment monitoring score of the power system is determined according to the real-time generator parameters, the standard generator parameters, the real-time transformer parameters and the standard transformer parameters.

[0074] According to one embodiment of the present invention, determining the equipment monitoring score of the power system according to the real-time generator parameter, the standard generator parameter, the real-time transformer parameter and the standard transformer parameter includes:

[0075] Determine a real-time generator state vector according to the real-time mechanical power, real-time electrical power and real-time rotational speed;

[0076] Determining a standard generator state vector according to the standard efficiency;

[0077] Determining a real-time transformer state vector according to the real-time transformation ratio, the real-time no-load loss and the real-time load loss;

[0078] Determining a standard transformer state vector according to the standard transformation ratio, standard no-load loss and real-time load loss;

[0079] An equipment monitoring score of the power system is determined according to the real-time generator state vector, the standard generator state vector, the real-time transformer state vector and the standard transformer state vector.

[0080] According to one embodiment of the present invention, determining the equipment monitoring score of the power system according to the real-time generator state vector, the standard generator state vector, the real-time transformer state vector and the standard transformer state vector includes: determining the equipment monitoring score B of the power system according to formula (3),

[0081]

[0082] Among them, MP i is the real-time mechanical power at the i-th moment of the current monitoring cycle, EP i is the real-time electric power at the i-th moment of the current monitoring period, RS i is the real-time speed at the i-th moment of the current monitoring cycle, EF T is the standard efficiency, RS T is the standard speed, TR i is the real-time transformation ratio at the i-th moment of the current monitoring cycle, EL i is the real-time no-load loss at the i-th moment of the current monitoring cycle, LL i is the real-time load loss at the i-th moment of the current monitoring cycle, TR T is the standard ratio, EL T is the standard no-load loss, LL T is the standard load loss, is the real-time generator state vector at the i-th moment of the current monitoring cycle, is the standard generator state vector, is the real-time transformer state vector at the i-th moment of the current monitoring cycle, is the standard transformer state vector, n is the number of moments in the monitoring cycle, i≤n, and both i and n are positive integers, and min is the minimum value function.

[0083] According to one embodiment of the present invention, is the ratio of real-time electrical power to real-time mechanical power at the i-th moment of the current monitoring cycle, representing the real-time efficiency. is the cosine similarity between the real-time generator state vector at the i-th moment of the current monitoring period and the standard generator state vector. The smaller the cosine similarity, the greater the difference between the real-time generator state at the i-th moment of the current monitoring period and the standard generator state. is the cosine similarity between the real-time transformer state vector and the standard transformer state vector at the i-th moment of the current monitoring cycle. The smaller the cosine similarity, the greater the difference between the real-time transformer state and the standard transformer state at the i-th moment of the current monitoring cycle. Each monitoring cycle has n moments. The minimum value of the cosine similarity between the generator state vector, transformer state vector and the standard generator state vector, standard transformer state vector is taken, and then the sum and average operation is performed according to the number of moments in the monitoring cycle to determine the equipment monitoring score, that is, the equipment monitoring score is calculated according to the maximum difference between the generator state vector, transformer state vector and the standard generator state vector, standard transformer state vector. The above-mentioned maximum difference processing can be used to determine the situation in which the generator and transformer have the largest difference from the standard state during the monitoring cycle, and the equipment monitoring score is determined based on this, so that the equipment monitoring score can reflect the true state of the power equipment.

[0084] In this way, cosine similarity calculation can be performed based on the generator state vector, transformer state vector and the standard generator state vector, standard transformer state vector, and the equipment monitoring score can be determined based on the minimum value of the cosine similarity of the two devices. Therefore, during the calculation process, the situation where the power equipment state is most different from the standard state is determined, which is convenient for determining the power equipment, thereby improving the accuracy, scientificity and objectivity of the equipment monitoring score.

[0085] According to one embodiment of the present invention, in step S108, a maintenance work order and an early warning are generated according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score and sent to an Internet of Things server.

[0086] According to an embodiment of the present invention, it is characterized in that, according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score, a maintenance work order and an early warning are generated and sent to an Internet of Things server, including:

[0087] When the loss monitoring score is less than a set threshold, a transmission line maintenance work order is generated;

[0088] When the equipment monitoring score is less than a set threshold, a power equipment maintenance work order is generated;

[0089] When the electrical monitoring score is less than a set threshold, an electrical maintenance work order is generated.

[0090] For example, when the loss monitoring score is less than the set threshold, the transmission line may be aged, and a transmission line maintenance work order is generated; when the equipment monitoring score is less than the set threshold, the generator or transformer may be abnormal, and a power equipment maintenance work order is generated; when the electrical monitoring score is less than the set threshold, the voltage parameters or load parameters are abnormal, and the elevator system operation mode needs to be adjusted, and an electrical maintenance work order is generated.

[0091] According to the real-time dynamic monitoring method of the power system based on the Internet of Things according to the embodiment of the present invention, the power system can be monitored in real time and dynamically through the three aspects of transmission loss state, power equipment state and electrical state, so as to more accurately monitor the overall state of the power system, avoid the subjectivity of manual monitoring, and improve the comprehensiveness and accuracy of power system monitoring. When determining the loss monitoring score, the environmental conditions of the previous monitoring cycle can be determined as a benchmark through the influence of temperature, wind and humidity on power consumption. After excluding the influence of environmental conditions, the true value of the total power consumption of the meter in the current monitoring cycle can be calculated by cosine similarity between the real-time transmission line state vector and the standard transmission line state vector. According to this cosine similarity and the ratio of the difference between the total power consumption of the meter in adjacent monitoring cycles and the total power consumption of the meter in the current monitoring cycle, the loss monitoring score of the power system is determined, which improves the scientificity, comprehensiveness and accuracy of the loss monitoring score and objectively reflects the loss status of electricity in transmission and use. When determining the electrical monitoring score, the electrical monitoring score is determined based on the real-time electrical state vector and the standard electrical state vector of the power system at multiple times, and the difference between the electrical state of the power system and the standard electrical state is judged based on the difference between the real-time electrical state vector and the standard electrical state vector, thereby improving the accuracy of the electrical monitoring score. When determining the equipment monitoring score, the cosine similarity calculation can be performed based on the generator state vector, the transformer state vector and the standard generator state vector, and the standard transformer state vector, and the equipment monitoring score is determined based on the minimum value of the cosine similarity of the two devices, so that in the calculation process, the situation where the power equipment state is most different from the standard state is determined, which is convenient for determining the power equipment, thereby improving the accuracy, scientificity and objectivity of the equipment monitoring score.

[0092] Figure 2 A block diagram of a real-time dynamic monitoring system for a power system based on the Internet of Things according to an embodiment of the present invention is exemplarily shown, and the system includes:

[0093] A line parameter module, used to obtain real-time transmission line parameters and standard transmission line parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transmission line parameters include real-time resistance, real-time inductance and real-time capacitance of the transmission line, and the standard transmission line parameters include standard resistance, standard inductance and standard capacitance of the transmission line;

[0094] A loss scoring module, used to determine a loss monitoring score of the power system according to the real-time transmission line parameters and the standard transmission line parameters;

[0095] An electrical parameter module, used to obtain real-time electrical characteristic parameters and standard electrical characteristic parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time electrical characteristic parameters include the real-time voltage, real-time frequency and real-time load value of the power system, and the standard electrical characteristic parameters include the standard voltage, standard frequency and standard load value of the power system;

[0096] An electrical scoring module, used to determine an electrical monitoring score of the power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters;

[0097] A generator parameter module, used to obtain real-time generator parameters and standard generator parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time generator parameters include real-time mechanical power, real-time electrical power and real-time speed of the generator, and the standard generator parameters include standard efficiency and standard speed of the generator;

[0098] A transformer parameter module, used to obtain real-time transformer parameters and standard transformer parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transformer parameters include the real-time transformation ratio, real-time no-load loss and real-time load loss of the transformer, and the standard transformer parameters include the standard transformation ratio, standard no-load loss and standard load loss of the transformer;

[0099] An equipment scoring module, used to determine an equipment monitoring score of the power system according to the real-time generator parameters, the standard generator parameters, the real-time transformer parameters and the standard transformer parameters;

[0100] A maintenance module is used to generate a maintenance work order and an early warning according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score, and send them to the Internet of Things server.

[0101] According to one embodiment of the present invention, there is provided a real-time dynamic monitoring device for an electric power system based on the Internet of Things, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to call the instructions stored in the memory to execute the real-time dynamic monitoring method for an electric power system based on the Internet of Things.

[0102] According to one embodiment of the present invention, there is provided a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method for real-time dynamic monitoring of a power system based on the Internet of Things.

[0103] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0104] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A real-time dynamic monitoring method for power system based on Internet of Things, characterized in that: include: At multiple moments in the current monitoring cycle, real-time transmission line parameters and standard transmission line parameters of the power system are obtained, wherein the real-time transmission line parameters include real-time resistance, real-time inductance and real-time capacitance of the transmission line, and the standard transmission line parameters include standard resistance, standard inductance and standard capacitance of the transmission line; Determining a loss monitoring score of the power system according to the real-time transmission line parameters and the standard transmission line parameters; At multiple moments in the current monitoring cycle, real-time electrical characteristic parameters and standard electrical characteristic parameters of the power system are obtained, wherein the real-time electrical characteristic parameters include the real-time voltage, real-time frequency and real-time load value of the power system, and the standard electrical characteristic parameters include the standard voltage, standard frequency and standard load value of the power system; Determining an electrical monitoring score of the power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters; At multiple moments in the current monitoring cycle, real-time generator parameters and standard generator parameters of the power system are obtained, wherein the real-time generator parameters include real-time mechanical power, real-time electrical power and real-time speed of the generator, and the standard generator parameters include standard efficiency and standard speed of the generator; At multiple moments in the current monitoring cycle, real-time transformer parameters and standard transformer parameters of the power system are obtained, wherein the real-time transformer parameters include the real-time transformation ratio, real-time no-load loss and real-time load loss of the transformer, and the standard transformer parameters include the standard transformation ratio, standard no-load loss and standard load loss of the transformer; Determining an equipment monitoring score of the power system according to the real-time generator parameter, the standard generator parameter, the real-time transformer parameter and the standard transformer parameter; Generate a maintenance work order and an early warning according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score and send them to an Internet of Things server; Determining a loss monitoring score of the power system according to the real-time transmission line parameters and the standard transmission line parameters includes: Obtain the total power consumption of the electric meter in the power supply area during the current monitoring cycle and the previous monitoring cycle; At multiple moments in the last monitoring cycle, obtaining historical environmental conditions of the power supply area, wherein the historical environmental conditions include historical temperature, historical humidity, and historical wind speed; At multiple moments in the current monitoring cycle, obtaining real-time environmental conditions of the power supply area, wherein the real-time environmental conditions include temperature, humidity and wind speed; Determining a real-time transmission line state vector according to the real-time resistance, real-time inductance and real-time capacitance of the transmission line; Determining a standard transmission line state vector according to the standard resistance, standard inductance and standard capacitance of the transmission line; A loss monitoring score of the power system is determined based on the total power consumption of the electric meter, real-time environmental conditions, historical environmental conditions, real-time transmission line parameters and standard transmission line parameters.

2. The method for real-time dynamic monitoring of a power system based on the Internet of Things according to claim 1 is characterized in that: Determine the loss monitoring score of the power system based on the total power consumption of the meter, the real-time environmental conditions, the historical environmental conditions, the real-time transmission line parameters and the standard transmission line parameters, including: According to the formula Determine the loss monitoring score A of the power system, where: is the total electricity consumption of the meter in the current monitoring period, is the total electricity consumption of the electric meter in the previous monitoring cycle, is the temperature at the i-th moment of the current monitoring cycle, is the wind speed at the i-th moment of the current monitoring period, is the humidity at the i-th moment of the current monitoring period, is the historical temperature at the i-th moment of the previous monitoring period, is the historical wind speed at the i-th moment of the previous monitoring period, is the historical humidity at the i-th moment of the previous monitoring period, is the real-time resistance of the transmission line at the i-th moment in the current monitoring cycle, is the real-time inductance of the transmission line at the i-th moment in the current monitoring cycle, is the real-time capacitance of the transmission line at the i-th moment in the current monitoring cycle, is the real-time resistance of the transmission line, is the real-time inductance of the transmission line, is the real-time capacitance of the transmission line, The real-time transmission line state vector at the i-th moment of the current monitoring period, is the standard transmission line state vector, n is the number of moments in the monitoring cycle, , and i and n are both positive integers.

3. The real-time dynamic monitoring method of the power system based on the Internet of Things according to claim 1 is characterized in that: Determining an electrical monitoring score of the power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters, including: Determining a real-time electrical state vector of the power system according to the real-time voltage, real-time frequency and real-time load value; Determining a standard electrical state vector of the power system according to the standard voltage, standard frequency and standard load value; According to the formula Determine the electrical monitoring score C of the power system, where: is the real-time voltage at the i-th moment of the current monitoring cycle, is the real-time frequency at the i-th moment of the current monitoring cycle, is the real-time load value at the i-th moment of the current monitoring cycle, is the standard voltage, is the standard frequency, is the standard load value, is the real-time electrical state vector at the i-th moment of the current monitoring cycle, is the standard electrical state vector, max is the maximum value function, min is the minimum value function, n is the number of moments in the monitoring cycle, , and i and n are both positive integers.

4. The method for real-time dynamic monitoring of power system based on Internet of Things according to claim 1 is characterized in that: Determining an equipment monitoring score of a power system according to the real-time generator parameter, the standard generator parameter, the real-time transformer parameter, and the standard transformer parameter, including: Determine a real-time generator state vector according to the real-time mechanical power, real-time electrical power and real-time rotational speed; Determining a standard generator state vector according to the standard efficiency and the standard speed; Determining a real-time transformer state vector according to the real-time transformation ratio, the real-time no-load loss and the real-time load loss; Determining a standard transformer state vector according to the standard transformation ratio, standard no-load loss and real-time load loss; An equipment monitoring score of the power system is determined according to the real-time generator state vector, the standard generator state vector, the real-time transformer state vector and the standard transformer state vector.

5. The real-time dynamic monitoring method of the power system based on the Internet of Things according to claim 4 is characterized in that: Determining an equipment monitoring score of a power system according to the real-time generator state vector, the standard generator state vector, the real-time transformer state vector, and the standard transformer state vector, includes: According to the formula Determine the equipment monitoring score B of the power system, where: is the real-time mechanical power at the i-th moment of the current monitoring cycle, is the real-time electric power at the i-th moment of the current monitoring period, is the real-time speed at the i-th moment of the current monitoring cycle, is the standard efficiency, is the standard speed, is the real-time transformation ratio at the i-th moment of the current monitoring cycle, is the real-time no-load loss at the i-th moment of the current monitoring cycle, is the real-time load loss at the i-th moment of the current monitoring cycle, is the standard transformation ratio, is the standard no-load loss, is the standard load loss, is the real-time generator state vector at the i-th moment of the current monitoring cycle, is the standard generator state vector, is the real-time transformer state vector at the i-th moment of the current monitoring cycle, is the standard transformer state vector, n is the number of moments in the monitoring cycle, , and i and n are both positive integers, and min is the minimum value function.

6. The real-time dynamic monitoring method of the power system based on the Internet of Things according to claim 1 is characterized in that: According to the loss monitoring score, the equipment monitoring score and the electrical monitoring score, a maintenance work order and an early warning are generated and sent to the Internet of Things server, including: When the loss monitoring score is less than a set threshold, a transmission line maintenance work order is generated; When the equipment monitoring score is less than a set threshold, a power equipment maintenance work order is generated; When the electrical monitoring score is less than a set threshold, an electrical maintenance work order is generated.

7. A real-time dynamic monitoring system of an electric power system of the Internet of Things for executing the method according to any one of claims 1 to 6, characterized in that: include: A line parameter module, used to obtain real-time transmission line parameters and standard transmission line parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transmission line parameters include real-time resistance, real-time inductance and real-time capacitance of the transmission line, and the standard transmission line parameters include standard resistance, standard inductance and standard capacitance of the transmission line; A loss scoring module, used to determine a loss monitoring score of the power system according to the real-time transmission line parameters and the standard transmission line parameters; An electrical parameter module, used to obtain real-time electrical characteristic parameters and standard electrical characteristic parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time electrical characteristic parameters include the real-time voltage, real-time frequency and real-time load value of the power system, and the standard electrical characteristic parameters include the standard voltage, standard frequency and standard load value of the power system; An electrical scoring module, used to determine an electrical monitoring score of the power system according to the real-time electrical characteristic parameters and the standard electrical characteristic parameters; A generator parameter module, used to obtain real-time generator parameters and standard generator parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time generator parameters include real-time mechanical power, real-time electrical power and real-time speed of the generator, and the standard generator parameters include standard efficiency and standard speed of the generator; A transformer parameter module, used to obtain real-time transformer parameters and standard transformer parameters of the power system at multiple moments in the current monitoring cycle, wherein the real-time transformer parameters include the real-time transformation ratio, real-time no-load loss and real-time load loss of the transformer, and the standard transformer parameters include the standard transformation ratio, standard no-load loss and standard load loss of the transformer; An equipment scoring module, used to determine an equipment monitoring score of the power system according to the real-time generator parameters, the standard generator parameters, the real-time transformer parameters and the standard transformer parameters; A maintenance module is used to generate a maintenance work order and an early warning according to the loss monitoring score, the equipment monitoring score and the electrical monitoring score, and send them to the Internet of Things server.

8. A real-time dynamic monitoring device for power system based on Internet of Things, characterized in that: include: processor; A memory for storing processor-executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: Computer program instructions are stored thereon, and when the computer program instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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