Intelligent management electric power comprehensive control method

Abstract

The invention relates to the technical field of electric power comprehensive control, and particularly discloses an intelligent management electric power comprehensive control method. Comprising the following steps: S1, determining an electric power control target area; S2, obtaining electric power data of an electric power system; S3, analyzing and judging a first electric power control coefficient; S4, analyzing and judging a second electric power control coefficient; according to the invention, through fine monitoring and data acquisition, accurate positioning of an electric power problem and real-time mastering of a system dynamic state are realized; through deep analysis of electric power stability and safety data, intelligent management is realized, electric power data abnormity can be early warned, stable operation of the system is ensured, efficiency and accuracy of electric power control are remarkably improved, enterprise operation cost is effectively reduced, in addition, the electric power management level and competitiveness are also improved, and the system is worthy of popularization and application. And a powerful guarantee is provided for continuous and stable production and operation of enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated power control, and in particular to an intelligently managed integrated power control method. Background Art

[0002] In today's rapidly developing business environment, electricity is a key production factor, and its stable supply and efficient use are directly related to the production efficiency and operating costs of enterprises. With the expansion of enterprise scale and the complexity of production processes, electricity demand has shown diversified and high-demand characteristics. At the same time, energy conservation, emission reduction, green and low-carbon environmental protection concepts have also put forward higher requirements for corporate power management.

[0003] Traditional enterprise power integrated control methods mainly rely on manual operation and simple automatic control systems; enterprise power management personnel manually adjust the operating status of power equipment through regular inspections and real-time monitoring, such as turning on and off the machine, adjusting voltage and current, etc., to ensure the stability and safety of power supply; in the power data acquisition stage, it mainly relies on regular inspections and limited meter readings. Operators regularly go to distribution rooms, distribution boxes and other locations to check meter values, record parameters such as voltage, current, and power, and use simple calculations to determine power consumption. For some large key equipment, simple overload protection devices may be installed additionally. When the current exceeds the set threshold, an alarm will be issued or the power supply will be automatically cut off to prevent equipment damage. Although power can be controlled to a certain extent, there are still some problems.

[0004] Disadvantages of traditional enterprise power integrated control methods: First, traditional methods mainly rely on manual inspections and simple automated collection equipment to obtain power data. Not only is the data acquisition efficiency low, but the data accuracy and real-time performance cannot be guaranteed. At the same time, the data analysis methods are relatively simple, making it difficult to deeply explore the potential value and rules of power data. Second, traditional power control methods lack intelligent means and cannot achieve automated data analysis, early warning, and intelligent control, resulting in low control efficiency. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligently managed integrated power control method to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: an intelligently managed integrated power control method, comprising the following steps:

[0007] S1: Determine the power control target area: determine the enterprise power system as the power control target area, and divide the power nodes in the target area into n monitoring sub-areas, marked as 1, 2, ..., i, ..., n, where i is the number of each monitoring sub-area;

[0008] S2: Acquiring power data of the power system: Collecting comprehensive power data of each monitoring sub-area, wherein the comprehensive power data includes power stability data and power security data;

[0009] S3: Analyze and determine the first power control coefficient: Analyze the power stability based on the acquired power stability data, obtain the first power control coefficient of each monitoring sub-area, perform judgment and analysis on it, and perform power control on the monitoring sub-area with abnormal data;

[0010] S4: Analyze and determine the second power control coefficient: Analyze the power safety based on the acquired power safety data, obtain the second power control coefficient of each monitoring sub-area, perform judgment and analysis on it, and perform power control on the monitoring sub-area with abnormal data;

[0011] S5: Establishing a comprehensive control warning index model: Based on the first power control coefficient and the second power control coefficient, establishing a comprehensive power control warning index model to obtain a comprehensive power control warning index for each monitoring sub-area;

[0012] S6: Conduct comprehensive power intelligent control: Based on the comparative analysis of the power comprehensive control early warning index and the preset threshold, perform intelligent control on abnormal data, and display the early warning information and intelligent control results on the manager's mobile device.

[0013] Preferably, the power stability data includes actual voltage, maximum allowable voltage, actual frequency, nominal frequency, generator output power, generator excitation electromotive force, generator terminal voltage and reactance; the power safety data includes actual transformer operating temperature, actual power consumption, number of transformer failures and the total number of transformers.

[0014] Preferably, the calculation steps of the first power control coefficient of each monitoring sub-area are specifically as follows:

[0015] S31: Obtain the actual voltage and the maximum allowable voltage of each monitoring sub-area, and substitute them into the formula Get the voltage stability margin Vsm of the i-th monitoring sub-area i , where V max Expressed as the maximum allowable voltage, V i act It is represented as the actual voltage of the i-th monitoring sub-area;

[0016] S32: Obtain the actual frequency and nominal frequency of each monitoring sub-area and substitute them into the formula Get the frequency deviation rate Fdr of the i-th monitoring sub-area i , where f 标 Expressed as nominal frequency, fact It is represented as the actual frequency of the ith monitoring sub-area;

[0017] S33: Obtain the generator output power, generator excitation electromotive force, generator terminal voltage and reactance of each monitoring sub-area, and substitute them into the formula Get the generator power angle ζ of the i-th monitoring sub-area i , where P i Expressed as the generator output power of the ith monitoring sub-area, Xs i It is represented by the reactance of the ith monitoring sub-area, E i It is represented by the excitation electromotive force of the generator in the ith monitoring sub-area, U i It is represented as the generator terminal voltage of the ith monitoring sub-area;

[0018] S34: Calculate the first power control coefficient of each monitoring sub-area. The calculation model is as follows:

[0019] Among them, FCC i It is represented as the first power control coefficient of the ith monitoring sub-area, Vsm i Expressed as the voltage stability margin of the ith monitoring sub-area, Fdr i Expressed as the frequency deviation rate of the ith monitoring sub-area, ζ i It is represented as the generator power angle of the ith monitoring sub-area, ζ0 is represented as the preset standard generator power angle, exp(·) represents the exponential function, and e represents the natural constant.

[0020] Preferably, in S3, the specific content of judging and analyzing the first power control coefficient of each monitoring sub-area is:

[0021] The first power control coefficient of each monitoring sub-area is extracted and compared with the preset first power control coefficient threshold. If the first power control coefficient of the i-th monitoring sub-area is less than or equal to the preset first power control coefficient threshold, the power stability of the i-th monitoring sub-area is judged to be normal. If the first power control coefficient of the i-th monitoring sub-area is greater than the preset first power control coefficient threshold, the power stability of the i-th monitoring sub-area is judged to be abnormal, the number of the abnormal area is sent to the management personnel and an early warning signal is issued.

[0022] Preferably, the calculation steps of the second power control coefficient of each monitoring sub-area are specifically as follows:

[0023] S41: Obtain the actual operating temperature of the transformer in each monitoring sub-area and substitute it into the formula Td i =|T i -T0 gets the transformer temperature deviation Td of the i-th monitoring sub-area i , where Ti It is represented as the actual operating temperature of the transformer in the i-th monitoring sub-area, and T0 is represented as the preset ideal operating temperature of the transformer;

[0024] S42: Obtain the actual power consumption of each monitoring sub-area and substitute it into the formula Get the power load deviation Ldr of the i-th monitoring sub-area i , where qe i It is represented by the actual power consumption of the ith monitoring sub-area, and qe0 is represented by the preset planned power consumption;

[0025] S43: Calculate the second power control coefficient of each monitoring sub-area. The calculation model is as follows:

[0026] Among them, SCC i It is expressed as the second power control coefficient of the ith monitoring sub-area, Td i represents the transformer temperature deviation of the ith monitoring sub-area, Td max Indicates the maximum value of transformer temperature deviation, Td min Indicates the minimum value of transformer temperature deviation, Ldr i represents the power load deviation of the ith monitoring sub-area, Ldr0 represents the preset maximum power load deviation, fn i represents the number of transformer faults in the i-th monitoring sub-area during the operation cycle, tn i Represents the total number of transformers in the i-th monitoring sub-area during the operation cycle.

[0027] Preferably, in S4, the specific content of judging and analyzing the second power control coefficient of each monitoring sub-area is:

[0028] The second power control coefficient of each monitoring sub-area is extracted and compared with the preset second power control coefficient threshold. If the second power control coefficient of the i-th monitoring sub-area is greater than or equal to the preset second power control coefficient threshold, the power safety of the i-th monitoring sub-area is judged to be normal. If the second power control coefficient of the i-th monitoring sub-area is less than the preset second power control coefficient threshold, the power safety of the i-th monitoring sub-area is judged to be abnormal, the number of the abnormal area is sent to the management personnel and an early warning signal is issued.

[0029] Preferably, the specific content of establishing the electric power comprehensive control early warning index model is:

[0030] The first power control coefficient of each monitoring sub-area and the second power control coefficient of each monitoring sub-area are extracted to establish a comprehensive power control early warning index model. The specific calculation model is:

[0031] Among them, CWI i It is represented as the comprehensive power control early warning index of the ith monitoring sub-area, FCC i It is expressed as the first power control coefficient of the ith monitoring sub-area, SCC i It is represented as the second power control coefficient of the ith monitoring sub-area, k represents the correction coefficient, and e represents the natural constant.

[0032] Preferably, in S6, the specific contents of performing comprehensive power intelligent control are:

[0033] The comprehensive power control and early warning index of each monitoring sub-area is extracted and compared with the preset control and early warning index threshold value. If the comprehensive power control and early warning index of the ith monitoring sub-area is less than or equal to the preset control and early warning index threshold value, it is judged that the power system of the ith monitoring sub-area is operating normally. If the comprehensive power control and early warning index of the ith monitoring sub-area is greater than the preset control and early warning index threshold value, it is judged that the power system of the ith monitoring sub-area is operating abnormally. The abnormal operation of the power system of each monitoring sub-area is recorded as the evaluation result of the power system operation of the corresponding monitoring sub-area. The standard power control method corresponding to each monitoring sub-area is obtained according to the comprehensive power control and early warning index of each monitoring sub-area, and the power of each monitoring sub-area is controlled according to the standard power control method corresponding to each monitoring sub-area.

[0034] Technical effects and advantages of the present invention:

[0035] 1. The present invention realizes intelligent management of the enterprise power system by collecting and analyzing power stability and safety data and dynamically adjusting the power control strategy; the method can warn of power anomalies in advance to ensure the stable operation of the power system, while improving the efficiency and accuracy of power control. In addition, the implementation of the present invention will effectively reduce the operating costs of enterprises, improve the power management level and competitiveness of enterprises, and has broad application prospects and market value;

[0036] 2. The present invention can identify and warn potential power anomalies in advance by constructing a comprehensive power control early warning index model, providing managers with sufficient time to take countermeasures. This forward-looking management method effectively avoids the occurrence of power accidents and ensures the safe production of enterprises;

[0037] 3. The present invention integrates advanced power data analysis technology and combines it with intelligent control algorithms to achieve comprehensive, real-time monitoring and precise control of the enterprise power system. It not only significantly improves the level of intelligence in power management, but also ensures the stable operation of the power system and reduces the risk of production interruptions due to power failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1The present invention is a flowchart of an intelligent management integrated power control method. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0040] See also Figure 1 As shown, the present invention provides an intelligently managed integrated power control method, comprising the following steps:

[0041] S1: Determine the power control target area: determine the enterprise power system as the power control target area, and divide the power nodes in the target area into n monitoring sub-areas, marked as 1, 2, ..., i, ..., n, where i is the number of each monitoring sub-area;

[0042] S2: Acquiring power data of the power system: Collecting comprehensive power data of each monitoring sub-area, wherein the comprehensive power data includes power stability data and power security data;

[0043] In this embodiment, it should be specifically explained that the power stability data includes the actual voltage, the maximum allowable voltage, the actual frequency, the nominal frequency, the generator output power, the generator excitation electromotive force, the generator terminal voltage and the reactance; the power safety data includes the actual operating temperature of the transformer, the actual power consumption, the number of transformer failures and the total number of transformers.

[0044] S3: Analyze and determine the first power control coefficient: Analyze the power stability based on the acquired power stability data, obtain the first power control coefficient of each monitoring sub-area, perform judgment and analysis on it, and perform power control on the monitoring sub-area with abnormal data;

[0045] In this embodiment, it should be specifically explained that the calculation steps of the first power control coefficient of each monitoring sub-area are specifically as follows:

[0046] S31: Obtain the actual voltage and the maximum allowable voltage of each monitoring sub-area, and substitute them into the formula Get the voltage stability margin Vsm of the i-th monitoring sub-area i , where V max Expressed as the maximum allowable voltage, V i act It is represented as the actual voltage of the i-th monitoring sub-area;

[0047] S32: Obtain the actual frequency and nominal frequency of each monitoring sub-area and substitute them into the formula Get the frequency deviation rate Fdr of the i-th monitoring sub-area i , where f 标 Expressed as nominal frequency, f act It is represented as the actual frequency of the ith monitoring sub-area;

[0048] S33: Obtain the generator output power, generator excitation electromotive force, generator terminal voltage and reactance of each monitoring sub-area, and substitute them into the formula Get the generator power angle ζ of the i-th monitoring sub-area i , where P i Expressed as the generator output power of the ith monitoring sub-area, Xs i It is represented by the reactance of the ith monitoring sub-area, E i It is represented by the excitation electromotive force of the generator in the ith monitoring sub-area, U i It is represented as the generator terminal voltage of the ith monitoring sub-area;

[0049] S34: Calculate the first power control coefficient of each monitoring sub-area. The calculation model is as follows:

[0050] Among them, FCC i It is represented as the first power control coefficient of the ith monitoring sub-area, Vsm i Expressed as the voltage stability margin of the ith monitoring sub-area, Fdr i Expressed as the frequency deviation rate of the ith monitoring sub-area, ζ i It is represented as the generator power angle of the ith monitoring sub-area, ζ0 is represented as the preset standard generator power angle, exp(·) represents the exponential function, and e represents the natural constant.

[0051] In the present embodiment, it should be specifically explained that the power angle is an important indicator of the stable operation and stable operation margin of the reaction generator. When the generator is running in leading phase, it is necessary to monitor the generator power angle to prevent the generator from becoming unstable and to observe its stability margin. At the same time, it can also provide a reliable basis for the safety depth of the low excitation limit of the excitation system.

[0052] In this embodiment, it should be specifically explained that in S3, the specific content of judging and analyzing the first power control coefficient of each monitoring sub-area is:

[0053] The first power control coefficient of each monitoring sub-area is extracted and compared with the preset first power control coefficient threshold. If the first power control coefficient of the i-th monitoring sub-area is less than or equal to the preset first power control coefficient threshold, the power stability of the i-th monitoring sub-area is judged to be normal. If the first power control coefficient of the i-th monitoring sub-area is greater than the preset first power control coefficient threshold, the power stability of the i-th monitoring sub-area is judged to be abnormal, the number of the abnormal area is sent to the management personnel and an early warning signal is issued.

[0054] S4: Analyze and determine the second power control coefficient: Analyze the power safety based on the acquired power safety data, obtain the second power control coefficient of each monitoring sub-area, perform judgment and analysis on it, and perform power control on the monitoring sub-area with abnormal data;

[0055] In this embodiment, it should be specifically explained that the calculation steps of the second power control coefficient of each monitoring sub-area are specifically as follows:

[0056] S41: Obtain the actual operating temperature of the transformer in each monitoring sub-area and substitute it into the formula Td i =|T i -T0 gets the transformer temperature deviation Td of the i-th monitoring sub-area i , where T i It is represented as the actual operating temperature of the transformer in the i-th monitoring sub-area, and T0 is represented as the preset ideal operating temperature of the transformer;

[0057] S42: Obtain the actual power consumption of each monitoring sub-area and substitute it into the formula Get the power load deviation Ldr of the i-th monitoring sub-area i , where qe i It is represented by the actual power consumption of the ith monitoring sub-area, and qe0 is represented by the preset planned power consumption;

[0058] S43: Calculate the second power control coefficient of each monitoring sub-area. The calculation model is as follows:

[0059] Among them, SCC i It is expressed as the second power control coefficient of the ith monitoring sub-area, Td i represents the transformer temperature deviation of the ith monitoring sub-area, Td max Indicates the maximum value of transformer temperature deviation, Td min Indicates the minimum value of transformer temperature deviation, Ldr i represents the power load deviation of the ith monitoring sub-area, Ldr0 represents the preset maximum power load deviation, fn irepresents the number of transformer faults in the i-th monitoring sub-area during the operation cycle, tn i Represents the total number of transformers in the i-th monitoring sub-area during the operation cycle.

[0060] In this embodiment, it should be specifically explained that a week of 7 days is set as an operation cycle, and the number of transformer faults is obtained within the operation cycle.

[0061] In this embodiment, it should be specifically explained that in S4, the specific content of judging and analyzing the second power control coefficient of each monitoring sub-area is:

[0062] The second power control coefficient of each monitoring sub-area is extracted and compared with the preset second power control coefficient threshold. If the second power control coefficient of the i-th monitoring sub-area is greater than or equal to the preset second power control coefficient threshold, the power safety of the i-th monitoring sub-area is judged to be normal. If the second power control coefficient of the i-th monitoring sub-area is less than the preset second power control coefficient threshold, the power safety of the i-th monitoring sub-area is judged to be abnormal, the number of the abnormal area is sent to the management personnel and an early warning signal is issued.

[0063] S5: Establishing a comprehensive control warning index model: Based on the first power control coefficient and the second power control coefficient, establishing a comprehensive power control warning index model to obtain a comprehensive power control warning index for each monitoring sub-area;

[0064] In this embodiment, it should be specifically explained that the specific content of establishing the electric power comprehensive control early warning index model is:

[0065] The first power control coefficient of each monitoring sub-area and the second power control coefficient of each monitoring sub-area are extracted to establish a comprehensive power control early warning index model. The specific calculation model is:

[0066] Among them, CWI i It is represented as the comprehensive power control early warning index of the ith monitoring sub-area, FCC i It is expressed as the first power control coefficient of the ith monitoring sub-area, SCC i It is represented as the second power control coefficient of the ith monitoring sub-area, k represents the correction coefficient, and e represents the natural constant.

[0067] S6: Conduct comprehensive power intelligent control: Based on the comparative analysis of the power comprehensive control early warning index and the preset threshold, perform intelligent control on abnormal data, and display the early warning information and intelligent control results on the manager's mobile device.

[0068] In this embodiment, it should be specifically explained that the specific content of the comprehensive power intelligent control in S6 is:

[0069] The comprehensive power control and early warning index of each monitoring sub-area is extracted and compared with the preset control and early warning index threshold value. If the comprehensive power control and early warning index of the ith monitoring sub-area is less than or equal to the preset control and early warning index threshold value, it is judged that the power system of the ith monitoring sub-area is operating normally. If the comprehensive power control and early warning index of the ith monitoring sub-area is greater than the preset control and early warning index threshold value, it is judged that the power system of the ith monitoring sub-area is operating abnormally. The abnormal operation of the power system of each monitoring sub-area is recorded as the evaluation result of the power system operation of the corresponding monitoring sub-area. The standard power control method corresponding to each monitoring sub-area is obtained according to the comprehensive power control and early warning index of each monitoring sub-area, and the power of each monitoring sub-area is controlled according to the standard power control method corresponding to each monitoring sub-area.

[0070] In this embodiment, it should be specifically explained that the method of controlling power is specifically as follows:

[0071] By adding or removing reactive power compensation equipment to the enterprise power system to adjust reactive power, or adjusting the reactive power flow distribution of the power system, the voltage is controlled to ensure voltage stability;

[0072] The speed is adjusted by controlling the prime mover of the generator. For example, when the power angle increases, the input power of the prime mover is appropriately reduced to reduce the generator speed and restore the power angle to a stable range;

[0073] The oil circulation cooling effect can be enhanced by increasing the speed of the cooling fan or starting the oil pump. At the same time, the transformer oil temperature can be monitored by a temperature sensor, and the cooling device will be automatically started when the oil temperature reaches the set upper limit.

[0074] Energy storage technologies (such as battery storage, pumped storage, etc.) are used to balance load deviations and improve the stability of the power system.

[0075] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligently managed integrated power control method, characterized in that: The following steps are involved: S1: Determine the power control target area: determine the enterprise power system as the power control target area, and divide the power nodes in the target area into n monitoring sub-areas, marked as 1, 2, ..., i, ..., n, where i is the number of each monitoring sub-area; S2: Acquiring power data of the power system: Collecting comprehensive power data of each monitoring sub-area, wherein the comprehensive power data includes power stability data and power security data; S3: Analyze and determine the first power control coefficient: Analyze the power stability based on the acquired power stability data, obtain the first power control coefficient of each monitoring sub-area, perform judgment and analysis on it, and perform power control on the monitoring sub-area with abnormal data; S4: Analyze and determine the second power control coefficient: Analyze the power safety based on the acquired power safety data, obtain the second power control coefficient of each monitoring sub-area, perform judgment and analysis on it, and perform power control on the monitoring sub-area with abnormal data; S5: Establishing a comprehensive control warning index model: Based on the first power control coefficient and the second power control coefficient, establishing a comprehensive power control warning index model to obtain a comprehensive power control warning index of each monitoring sub-area; S6: Conduct comprehensive power intelligent control: Based on the comparative analysis of the power comprehensive control early warning index and the preset threshold, perform intelligent control on abnormal data, and display the early warning information and intelligent control results on the manager's mobile device.

2. According to claim 1, the intelligent management integrated power control method is characterized by: The power stability data includes actual voltage, maximum allowable voltage, actual frequency, nominal frequency, generator output power, generator excitation electromotive force, generator terminal voltage and reactance; the power safety data includes actual transformer operating temperature, actual power consumption, number of transformer failures and the total number of transformers.

3. The intelligently managed integrated power control method according to claim 1, characterized in that: The calculation steps of the first power control coefficient of each monitoring sub-area are specifically as follows: S31: Obtain the actual voltage and the maximum allowable voltage of each monitoring sub-area, and substitute them into the formula Get the voltage stability margin Vsm of the i-th monitoring sub-area i , where V max Expressed as the maximum allowable voltage, V i act It is represented as the actual voltage of the i-th monitoring sub-area; S32: Obtain the actual frequency and nominal frequency of each monitoring sub-area and substitute them into the formula Get the frequency deviation rate Fdr of the i-th monitoring sub-area i , where f 标 Expressed as nominal frequency, f act It is represented as the actual frequency of the ith monitoring sub-area; S33: Obtain the generator output power, generator excitation electromotive force, generator terminal voltage and reactance of each monitoring sub-area, and substitute them into the formula Get the generator power angle ζ of the i-th monitoring sub-area i , where P i Expressed as the generator output power of the ith monitoring sub-area, Xs i It is represented by the reactance of the ith monitoring sub-area, E i It is represented by the excitation electromotive force of the generator in the i-th monitoring sub-area, U i It is represented as the generator terminal voltage of the i-th monitoring sub-area; S34: Calculate the first power control coefficient of each monitoring sub-area. The calculation model is as follows: Among them, FCC i It is represented as the first power control coefficient of the ith monitoring sub-area, Vsm i Expressed as the voltage stability margin of the ith monitoring sub-area, Fdr i Expressed as the frequency deviation rate of the ith monitoring sub-area, ζ i It is represented as the generator power angle of the ith monitoring sub-area, ζ0 is represented as the preset standard generator power angle, exp(·) represents the exponential function, and e represents the natural constant.

4. The intelligently managed integrated power control method according to claim 1, characterized in that: In S3, the specific content of judging and analyzing the first power control coefficient of each monitoring sub-area is: The first power control coefficient of each monitoring sub-area is extracted and compared with the preset first power control coefficient threshold. If the first power control coefficient of the i-th monitoring sub-area is less than or equal to the preset first power control coefficient threshold, the power stability of the i-th monitoring sub-area is judged to be normal. If the first power control coefficient of the i-th monitoring sub-area is greater than the preset first power control coefficient threshold, the power stability of the i-th monitoring sub-area is judged to be abnormal, the number of the abnormal area is sent to the management personnel and an early warning signal is issued.

5. The intelligently managed integrated power control method according to claim 1, characterized in that: The calculation steps of the second power control coefficient of each monitoring sub-area are specifically as follows: S41: Obtain the actual operating temperature of the transformer in each monitoring sub-area and substitute it into the formula Td i =|T i -T0 gets the transformer temperature deviation Td of the i-th monitoring sub-area i , where T i It is represented as the actual operating temperature of the transformer in the i-th monitoring sub-area, and T0 is represented as the preset ideal operating temperature of the transformer; S42: Obtain the actual power consumption of each monitoring sub-area and substitute it into the formula Get the power load deviation Ldr of the i-th monitoring sub-area i , where qe i It is represented by the actual power consumption of the ith monitoring sub-area, and qe0 is represented by the preset planned power consumption; S43: Calculate the second power control coefficient of each monitoring sub-area. The calculation model is as follows: Among them, SCC i It is expressed as the second power control coefficient of the ith monitoring sub-area, Td i represents the transformer temperature deviation of the ith monitoring sub-area, Td max Indicates the maximum value of transformer temperature deviation, Td min Indicates the minimum value of transformer temperature deviation, Ldr i represents the power load deviation of the ith monitoring sub-area, Ldr0 represents the preset maximum power load deviation, fn i represents the number of transformer faults in the i-th monitoring sub-area during the operation cycle, tn i Represents the total number of transformers in the i-th monitoring sub-area during the operation cycle.

6. The intelligently managed integrated power control method according to claim 1, characterized in that: In S4, the specific content of judging and analyzing the second power control coefficient of each monitoring sub-area is: The second power control coefficient of each monitoring sub-area is extracted and compared with the preset second power control coefficient threshold. If the second power control coefficient of the i-th monitoring sub-area is greater than or equal to the preset second power control coefficient threshold, the power safety of the i-th monitoring sub-area is judged to be normal. If the second power control coefficient of the i-th monitoring sub-area is less than the preset second power control coefficient threshold, the power safety of the i-th monitoring sub-area is judged to be abnormal, the number of the abnormal area is sent to the management personnel and an early warning signal is issued.

7. The intelligent management integrated power control method according to claim 1, characterized in that: The specific contents of establishing the electric power comprehensive control early warning index model are as follows: The first power control coefficient of each monitoring sub-area and the second power control coefficient of each monitoring sub-area are extracted to establish a comprehensive power control early warning index model. The specific calculation model is: Among them, CWI i It is represented as the comprehensive power control early warning index of the ith monitoring sub-area, FCC i It is expressed as the first power control coefficient of the ith monitoring sub-area, SCC i It is represented as the second power control coefficient of the ith monitoring sub-area, k represents the correction coefficient, and e represents the natural constant.

8. The intelligent management integrated power control method according to claim 1, characterized in that: In S6, the specific contents of the integrated power intelligent control are: The comprehensive power control and early warning index of each monitoring sub-area is extracted and compared with the preset control and early warning index threshold value. If the comprehensive power control and early warning index of the ith monitoring sub-area is less than or equal to the preset control and early warning index threshold value, it is judged that the power system of the ith monitoring sub-area is operating normally. If the comprehensive power control and early warning index of the ith monitoring sub-area is greater than the preset control and early warning index threshold value, it is judged that the power system of the ith monitoring sub-area is operating abnormally. The abnormal operation of the power system of each monitoring sub-area is recorded as the evaluation result of the power system operation of the corresponding monitoring sub-area. The standard power control method corresponding to each monitoring sub-area is obtained according to the comprehensive power control and early warning index of each monitoring sub-area, and the power of each monitoring sub-area is controlled according to the standard power control method corresponding to each monitoring sub-area.

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