Centralized control center power consumption management control system and control method

Abstract

The invention relates to the technical field of power resource management and processing, and discloses a centralized control center power consumption management control system and control method, and the system comprises a centralized control data module and an intelligent control module. According to the centralized control center power consumption management control system and control method, a data acquisition module is in network connection with a centralized control center to obtain configuration data of all devices, power consumption of all devices and time-of-use electricity prices, the configuration data, the power consumption and the time-of-use electricity prices are classified to form a data set, and an intelligent control module calculates line resistance and electric energy loss of each device in an on state; the power consumption change trends of all devices and the power consumption change trends of a single device at different time points are analyzed, corresponding power consumption indexes and device indexes are generated, whether an abnormal fault phenomenon exists or not when the centralized control center is connected with the devices is judged, efficient management is achieved, the fault detection precision is high, and the fault detection efficiency is high. And the equipment with relatively low equipment index and balanced electric quantity quota is preferentially selected for connection, so that the strategy optimization is more timely and effective, and the long-term operation safety and stability are high.

Description

Technical Field

[0001] The present invention relates to the technical field of power resource management, and particularly to a centralized control center power consumption management control system and a control method. Background Technique

[0002] The centralized control center is an integrated platform integrating a variety of technical means and devices. Through remote monitoring, data collection, data analysis, and instruction issuing, etc., it realizes the centralized management and control of facilities, equipment, or systems within a specific area. The main functions include real-time monitoring, data analysis, fault warning, remote control, etc. In the power field, the centralized control center plays a crucial role. By real-time monitoring the energy production, transmission, and consumption processes, it ensures the safety, stability, and efficiency of energy supply. The centralized control center can also be used to monitor and manage the electric energy acquisition devices, realize remote control and optimize the production process, and improve production efficiency and quality. Due to connecting multiple terminal devices, the power consumption management of the centralized control center is a key link to ensure the normal operation of the institution and the safety of employees. While ensuring the efficient, stable, and safe operation of the power system, it reduces the operation cost and environmental impact. With the development of smart grid and Internet of Things technologies, the power consumption management of the centralized control center increasingly relies on automated and intelligent solutions.

[0003] At present, traditional centralized control center power consumption management control systems often neglect the long-term power loss of equipment, have low fault detection accuracy, directly increase the overall operation cost of the centralized control center, have low resource utilization rate. In the actual use process, the centralized control center connects multiple terminal devices, making it difficult to timely judge abnormal faults and select the optimal operation strategy, and unable to guarantee the safety and stability of long-term operation. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides a centralized control center power consumption management control system and a control method, which have the advantages of high efficiency in management, high fault detection accuracy, and more timely and effective strategy optimization, and solve the problems of low fault detection accuracy and poor timeliness of strategy optimization in traditional centralized control center power consumption management control systems.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solution: A centralized control center power consumption management control system, including a centralized control data module and an intelligent control module;

[0008] The data acquisition module consists of a device data unit, an electricity consumption data unit, and a electricity price data unit. The device data unit collects a device data set through a network connection to a centralized control center. The device data set includes the configuration data of all devices. The electricity consumption data unit collects an electricity consumption data set through a network connection to the centralized control center. The electricity consumption data set includes the electricity consumption of all devices. The electricity price data unit collects an electricity price data set through a network connection to the centralized control center. The electricity price data set includes the time-of-use electricity prices for all time periods. The data acquisition module transmits the device data set, the electricity consumption data set, and the electricity price data set to the intelligent control module through a network.

[0009] The intelligent control module consists of a loss analysis unit, a peak-valley analysis unit, and an electricity consumption management unit. The loss analysis unit counts the number of devices in the on state based on the device data set and the electricity consumption data set, analyzes the line resistance XR and the power loss Dnsh of each device in the on state, and transmits them to the electricity consumption management unit through a network. The peak-valley analysis unit analyzes the change trend of the electricity consumption of all devices and the change trend of the electricity consumption of a single device at different time points based on the electricity consumption data set, generates corresponding electricity consumption indices Ydzs and device indices Sbzs, and transmits them to the electricity consumption management unit through a network. The electricity consumption management unit analyzes the electricity quota Dlpe and the cost quota Fype of all devices based on the electricity consumption data set and the electricity price data set. The electricity consumption management unit is set with a loss threshold SY within a fixed range, and combines the power loss Dnsh to judge the faulty devices with abnormal electricity consumption and outputs the corresponding judgment results. The electricity consumption management unit preferentially selects the devices with a smaller device index Sbzs and a balanced electricity quota Dlpe for connection based on the electricity consumption index Ydzs, the device index Sbzs, the electricity quota Dlpe, and the cost quota Fype.

[0010] Preferably, the expression of the device data set is {S1 t 、S2 t 、S3 t 、...、Sj t}, where S1 t to Sj t are the configuration data of the first to the jth devices respectively. The configuration data includes the switch state, the line conductivity, the line length, and the line cross-sectional area. t represents the time point for obtaining the configuration data of a single device.

[0011] Preferably, the expression of the electricity consumption data set is {Y1 m 、Y2 m 、Y3 m 、...、Yj m}, where Y1 m to Yj m are the electricity consumptions of the first to the jth devices respectively. m represents the time point for obtaining the electricity consumption of a single device.

[0012] Preferably, the expression of the electricity price dataset is {J1 d , J2 d , J3 d ,..., Jg d}, where J1 d to Jg d are the time-of-use electricity prices for the first to the g-th time periods respectively, and d represents the time period.

[0013] Preferably, the calculation process of the line resistance XR is as follows:

[0014] According to the device dataset, count the number of devices in the on state and mark it as x;

[0015] Extract the configuration data when the i-th device in the device dataset is in the on state and mark it as Si t ;

[0016] Mark the line conductivity in Si t as P i , mark the line length in Si t as L i , and mark the line cross-sectional area in Si t as M i ;

[0017]

[0018] In the formula, XR represents the line resistance, represents the line resistance when the centralized control center connects to the i-th device under the condition of constant conductivity and cross-sectional area.

[0019] Preferably, the calculation process of the power loss Dnsh is as follows:

[0020] According to Si t , extract the power consumption of the i-th device in the power consumption dataset correspondingly and mark it as Yi m ;

[0021] Dnsh = (Yi m ) 2 × XR × Δm

[0022] In the formula, Dnsh represents the power loss, Δm represents the total duration when the centralized control center connects to the i-th device, and Yi m ) 2 × XR × Δm represents the power loss when the centralized control center connects to the i-th device obtained according to Joule's law.

[0023] Preferably, the calculation process of the power consumption index Ydzs is as follows:

[0024] According to the electricity consumption dataset, count the electricity consumption of x devices in the on state and mark it as {Y1 m , Y2 m , Y3 m ,..., Yx m}, where Y1 m to Yx m are the electricity consumptions of the first to the xth devices in the on state respectively;

[0025]

[0026] In the formula, Ydzs represents the electricity consumption index, represents the average electricity consumption obtained by dividing the total electricity consumption of x devices in the on state by the number of devices, Yk m represents the electricity consumption of the kth device in the on state, represents the variance value obtained according to the variance formula, which is the electricity consumption index.

[0027] Preferably, the calculation process of the device index Sbzs is as follows:

[0028] According to the electricity consumption dataset, count the electricity consumption of the kth device at different time points and mark it as {m1, m2, m3,..., m z}, where m1 to m z are the electricity consumptions of the first to the zth time points of the kth device respectively;

[0029]

[0030] In the formula, Sbzs represents the device index, represents the average electricity consumption of the kth device obtained by dividing the total electricity consumption of the kth device by the number of time points, m f represents the electricity consumption at the fth time point, represents the variance value obtained according to the variance formula, which is the device index.

[0031] Preferably, the electricity consumption management unit analyzes the electricity quota Dlpe and cost quota Fype of all devices according to the electricity consumption dataset and electricity price dataset, and its calculation process is as follows:

[0032] According to the electricity consumption dataset, count the maximum electricity consumption of all devices and mark it as {max1, max2, max3,..., max j}, where max1 to max j are the maximum electricity consumptions of the first to the jth devices respectively;

[0033] Dlpe = max a:max b :max c

[0034] In the formula, Dlpe represents the electricity quota, and max a represents the maximum electricity consumption of the a-th device, and max b represents the maximum electricity consumption of the b-th device, and max c represents the maximum electricity consumption of the c-th device, and max a :max b :max c represents the electricity quota when the centralized control center connects the a-th, b-th, and c-th devices simultaneously;

[0035] Extract the time-of-use electricity price at the current time point from the electricity price data set and label it as DJ;

[0036] Fype = (max a × DJ):(max b × DJ):(max c × DJ)

[0037] In the formula, Fype represents the cost quota, and max a × DJ represents the maximum electricity cost of the a-th device at the current time point, and max b × DJ represents the maximum electricity cost of the b-th device at the current time point, and max c × DJ represents the maximum electricity cost of the c-th device at the current time point, (max a × DJ):(max b × DJ):(max c × DJ) represents the cost quota when the centralized control center connects the a-th, b-th, and c-th devices simultaneously.

[0038] A method for managing and controlling the electricity consumption of a centralized control center, characterized by comprising the following steps:

[0039] Step 1: Obtain the configuration data of all devices, the electricity consumption of all devices, and the time-of-use electricity price of all time periods through the network connection to the centralized control center, and classify and form a device data set, an electricity consumption data set, and an electricity price data set;

[0040] Step 2: According to the device data set and the electricity consumption data set, calculate the line resistance XR and the power loss Dnsh of each device in the on state, analyze the change trend of the electricity consumption of all devices and the change trend of the electricity consumption of a single device at different time points, and generate corresponding electricity consumption indexes Ydzs and device indexes Sbzs;

[0041] Step 3: Analyze the electricity quota Dlpe and the cost quota Fype of all devices according to the electricity consumption data set and the electricity price data set;

[0042] Step 4: Set the loss threshold SY within a fixed range, and combine it with the power loss Dnsh to determine the faulty equipment with abnormal power consumption. If the power loss Dnsh of a single device exceeds the loss threshold SY, it indicates that there is an abnormal fault phenomenon when the centralized control center connects to this device. Immediately stop connecting to this device, and then, in combination with the power consumption index Ydzs, the device index Sbzs, the power quota Dlpe, and the cost quota Fype, preferentially select the device with a smaller device index Sbzs and a balanced power quota Dlpe for connection.

[0043] Compared with the prior art, the present invention provides a centralized control center power consumption management control system and a control method, which have the following beneficial effects:

[0044] 1. In the present invention, the data acquisition module obtains the configuration data of all devices, the power consumption of all devices, and the time-of-use electricity prices for all time periods through the network and connects to the centralized control center, and classifies and forms a device data set, a power consumption data set, and an electricity price data set. The intelligent control module calculates the line resistance XR and the power loss Dnsh of each device in the on state according to the device data set and the power consumption data set. High power loss Dnsh will shorten the service life of the device and affect the operation stability of the centralized control center. Analyze the change trend of the power consumption of all devices and the change trend of the power consumption of a single device at different time points, and generate the corresponding power consumption index Ydzs and device index Sbzs. In the actual application process, devices in peak-valley periods can be combined and connected with devices in valley periods, and the high-precision fault detection can be efficiently managed.

[0045] 2. In the present invention, the intelligent control module analyzes the power quota Dlpe and the cost quota Fype of all devices according to the power consumption data set and the electricity price data set, which helps to better plan the operation cost. Set the loss threshold SY within a fixed range. If the power loss Dnsh of a single device exceeds the loss threshold SY, it indicates that there is an abnormal fault phenomenon when the centralized control center connects to this device. Immediately stop connecting to this device, and then, in combination with the power consumption index Ydzs, the device index Sbzs, the power quota Dlpe, and the cost quota Fype, preferentially select the device with a smaller device index Sbzs and a balanced power quota Dlpe for connection. The strategy optimization is more timely and effective, and the long-term operation safety and stability are strong. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the system flow of the present invention;

[0047] Figure 2 It is a flowchart of the method steps of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] Since the traditional power management control system of the centralized control center often ignores the long-term power loss of equipment, has low fault detection accuracy, directly increases the overall operation cost of the centralized control center, and has low resource utilization rate. In the actual use process, the centralized control center is connected to multiple terminal devices, making it difficult to timely judge abnormal faults and select the optimal operation strategy, and unable to ensure the safety and stability of long-term operation. Therefore, a power management control system and control method for the centralized control center are provided. Please refer to Figure 1 - Figure 2 ., the system includes a centralized control data module and an intelligent control module;

[0050] The data acquisition module is composed of an equipment data unit, an electricity consumption data unit, and a electricity price data unit. The equipment data unit collects the equipment data set through the network connection to the centralized control center. The equipment data set includes the configuration data of all equipment. The expression of the equipment data set is {S1 t 、S2 t 、S3 t 、...、Sj t}, where S1 t to Sj t are the configuration data of the first to the jth equipment respectively. The configuration data includes the switch state, line conductivity, line length, and line cross-sectional area. t represents the time point for obtaining the configuration data of a single equipment. The line conductivity, line length, and line cross-sectional area directly affect the size of the resistance, thereby affecting the operation efficiency and safety of the centralized control center;

[0051] The electricity consumption data unit collects the electricity consumption data set through the network connection to the centralized control center. The electricity consumption data set includes the electricity consumption of all equipment. The expression of the electricity consumption data set is {Y1 m 、Y2 m 、Y3 m 、...、Yj m}, where Y1 m to Yj m are the electricity consumption of the first to the jth equipment respectively. m represents the time point for obtaining the electricity consumption of a single equipment. Comprehensively collecting the electricity consumption of each equipment at different time points helps to quickly analyze the change trend of the electricity consumption of each equipment subsequently and timely select the optimal operation strategy;

[0052] The electricity price data unit collects the electricity price data set through the network connection to the centralized control center. The electricity price data set includes the time-of-use electricity prices for all time periods. The expression of the electricity price data set is {J1 d 、J2 d 、J3 d 、...、Jg d}, where J1 d to Jg d are the time-of-use electricity prices for the first to the g-th time periods respectively. d represents the time period. Clearly understanding the time-of-use electricity prices for each time period helps to better control the electricity consumption cost and improve the resource utilization rate;

[0053] The data acquisition module transmits the device data set, the electricity consumption data set, and the electricity price data set to the intelligent control module through the network;

[0054] The intelligent control module consists of a loss analysis unit, a peak-valley analysis unit, and an electricity consumption management unit. The loss analysis unit, based on the device data set and the electricity consumption data set, counts the number of devices in the on state, analyzes the line resistance XR and the power loss Dnsh of each device in the on state, and transmits them to the electricity consumption management unit through the network. Its calculation process is as follows:

[0055] According to the device data set, count the number of devices in the on state and mark it as x;

[0056] Extract the configuration data when the i-th device in the device data set is in the on state and mark it as Si t ;

[0057] Mark the line conductivity in Si t as P i , mark the line length in Si t as L i , and mark the line cross-sectional area in Si t as M i ;

[0058]

[0059] In the formula, XR represents the line resistance, represents the line resistance when the centralized control center connects to the i-th device under the condition of constant conductivity and cross-sectional area;

[0060] According to Si t , correspondingly extract the electricity consumption of the i-th device in the electricity consumption data set and mark it as Yi m ;

[0061] Dnsh = (Yi m ) 2 × XR × Δm

[0062] In the formula, Dnsh represents the power loss, Δm represents the total duration of the centralized control center connecting to the i-th device, (Yi m ) 2 ×XR×Δm represents the power loss when the centralized control center connects to the i-th device according to Joule's law. High power loss Dnsh often accompanies an increase in the operating temperature of the device, which may accelerate the wear and aging of the device, thereby shortening its service life and affecting the operating stability of the centralized control center;

[0063] Based on the power consumption data set, the peak-valley analysis unit analyzes the power consumption change trends of all devices and the power consumption change trends of a single device at different time points, generates the corresponding power consumption index Ydzs and device index Sbzs, and transmits them to the power consumption management unit through the network. Its calculation process is as follows:

[0064] According to the power consumption data set, count the power consumption of x devices in the on state and mark it as {Y1 m 、Y2 m 、Y3 m 、...、Yx m}, where Y1 m to Yx m are the power consumptions of the first to the x-th devices in the on state respectively;

[0065]

[0066] In the formula, Ydzs represents the power consumption index, represents the average power consumption obtained by dividing the total power consumption of x devices in the on state by the number of devices, Yk m represents the power consumption of the k-th device in the on state, represents the variance value obtained according to the variance formula, which is the power consumption index. From a macroscopic perspective, analyze the power consumption peaks and valleys of multiple devices. In the actual application process, devices in peak-valley periods can be combined and connected with devices in valley periods to maximize the resource utilization rate;

[0067] According to the power consumption data set, count the power consumption of the k-th device at different time points and mark it as {m1, m2, m3,..., m z}, where m1 to m z are the power consumptions of the k-th device at the first to the z-th time points respectively;

[0068]

[0069] In the formula, Sbzs represents the device index, represents the average power consumption of the k-th device obtained by dividing the total power consumption of the k-th device by the number of time points mf represents the power consumption at the f-th time point represents that according to the variance formula, the obtained variance value is the equipment index. From a microscopic perspective, the highest peak and the lowest peak of a single device are analyzed, and the accuracy of efficient management of fault detection is high;

[0070] The power consumption management unit analyzes the power quota Dlpe and the cost quota Fype of all devices according to the power consumption data set and the electricity price data set. The calculation process is as follows:

[0071] According to the power consumption data set, count the highest power consumption of all devices and mark it as {max1, max2, max3,..., max j}, where max1 to max j are the highest power consumptions of the first to the j-th devices respectively;

[0072] Dlpe = max a :max b :max c

[0073] In the formula, Dlpe represents the power quota, max a represents the highest power consumption of the a-th device, max b represents the highest power consumption of the b-th device, max c represents the highest power consumption of the c-th device, max a :max b :max c represents the power quota when the centralized control center connects the a-th, b-th, and c-th devices at the same time. If the centralized control center connects multiple devices at the same time, the power quota Dlpe of the same number of devices needs to be calculated according to the above formula;

[0074] According to the electricity price data set, extract the time-of-use electricity price at the current time point and mark it as DJ;

[0075] Fype = (max a ×DJ):(max b ×DJ):(max c ×DJ)

[0076] In the formula, Fype represents the cost quota, max a ×DJ represents the highest electricity cost of the a-th device at the current time point, max b ×DJ represents the highest electricity cost of the b-th device at the current time point, max c ×DJ represents the highest electricity cost of the c-th device at the current time point, (max a ×DJ):(max b ×DJ):(max cThe cost quota when the centralized control center connects the a-th, b-th, and c-th devices simultaneously, denoted as ×DJ), helps better plan the operating costs;

[0077] The power consumption management unit is set with a fixed-range loss threshold SY, and in combination with the power loss Dnsh, it determines the faulty device with abnormal power consumption and outputs the corresponding judgment result. The power consumption management unit preferentially selects the device with a smaller device index Sbzs and a balanced power quota Dlpe for connection according to the power consumption index Ydzs, device index Sbzs, power quota Dlpe, and cost quota Fype. The strategy optimization is more timely and effective, and the long-term operation has strong safety and stability.

[0078] A method for centralized control center power consumption management and control includes the following steps:

[0079] Step 1: Obtain the configuration data of all devices, the power consumption of all devices, and the time-of-use electricity prices for all time periods through the network connection to the centralized control center, and classify and form a device data set, a power consumption data set, and an electricity price data set;

[0080] Step 2: According to the device data set and the power consumption data set, calculate the line resistance XR and the power loss Dnsh of each device in the on state, and analyze the power consumption change trend of all devices and the power consumption change trend of a single device at different time points, and generate the corresponding power consumption index Ydzs and device index Sbzs, with high efficiency in managing and high accuracy in fault detection;

[0081] Step 3: According to the power consumption data set and the electricity price data set, analyze the power quota Dlpe and cost quota Fype of all devices;

[0082] Step 4: Set a fixed-range loss threshold SY, and in combination with the power loss Dnsh, judge the risk level during the operation of the centralized control center. If the power loss Dnsh of a single device exceeds the loss threshold SY, it indicates that there is an abnormal fault phenomenon when the centralized control center connects this device. Immediately stop connecting this device, and then in combination with the power consumption index Ydzs, device index Sbzs, power quota Dlpe, and cost quota Fype, preferentially select the device with a smaller device index Sbzs and a balanced power quota Dlpe for connection. The strategy optimization is more timely and effective, and the long-term operation has strong safety and stability.

[0083] Example 1: In this experiment, a sensing device with a line resistance of 0.47 Ω was selected as the experimental object. After statistics, the total power consumption within ten minutes was 0.2 A. The calculation formula for the power loss Dnsh of this sensing device is as follows:

[0084] Dnsh = (Yi m ) 2 ×XR×Δm = (0.2) 2×0.47×10×60 = 11.28

[0085] In the formula, Dnsh represents the power loss, 10×60 represents the total duration of the connection between the centralized control center and the device, and the measurement unit is seconds. According to Joule's law, the power loss when the centralized control center is connected to the device is 11.28 J.

[0086] Example 2: In this experiment, an anemometer was selected as the experimental object. After statistics, the power consumption of the anemometer per minute was 0.15 A, 0.11 A, 0.10 A, 0.08 A, and 0.02 A respectively. The calculation formula for the device index Sbzs of the anemometer is as follows:

[0087]

[0088] In the formula, Sbzs represents the device index, represents the average power consumption obtained by dividing the total power consumption of the anemometer by the time point, is 0.092 A. According to the variance formula, the variance value of 0.0018 obtained is the device index.

[0089] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A power consumption management and control system for a centralized control center, characterized in that: It includes a centralized control data module and an intelligent control module; The data acquisition module consists of a device data unit, an electricity consumption data unit, and a electricity price data unit. The device data unit collects a device data set through a network connection to the centralized control center. The device data set includes the configuration data of all devices. The electricity consumption data unit collects an electricity consumption data set through a network connection to the centralized control center. The electricity consumption data set includes the electricity consumption of all devices. The electricity price data unit collects an electricity price data set through a network connection to the centralized control center. The electricity price data set includes the time-of-use electricity prices for all time periods. The data acquisition module transmits the device data set, the electricity consumption data set, and the electricity price data set to the intelligent control module through a network; The intelligent control module consists of a loss analysis unit, a peak-valley analysis unit, and an electricity consumption management unit. The loss analysis unit counts the number of devices in the on state based on the device data set and the electricity consumption data set, analyzes the line resistance XR and the power loss Dnsh of each device in the on state, and transmits them to the electricity consumption management unit through a network. The peak-valley analysis unit analyzes the change trend of the electricity consumption of all devices and the change trend of the electricity consumption of a single device at different time points based on the electricity consumption data set, generates the corresponding electricity consumption index Ydzs and device index Sbzs, and transmits them to the electricity consumption management unit through a network. The electricity consumption management unit analyzes the electricity quota Dlpe and cost quota Fype of all devices based on the electricity consumption data set and the electricity price data set. The electricity consumption management unit is set with a loss threshold SY within a fixed range, and combines the power loss Dnsh to judge the faulty devices with abnormal electricity consumption and outputs the corresponding judgment results. The electricity consumption management unit preferentially selects the devices with a smaller device index Sbzs and a balanced electricity quota Dlpe for connection based on the electricity consumption index Ydzs, the device index Sbzs, the electricity quota Dlpe, and the cost quota Fype.

2. The power consumption management control system for a centralized control center according to claim 1, wherein: The expression of the device dataset is S1 t , S2 t , S3 t ,..., Sj t , S1 t to Sj t are the configuration data of the first to the j-th devices respectively. The configuration data includes switch status, line conductivity, line length, and line cross-sectional area. t represents the time point for obtaining the configuration data of a single device.

3. The power consumption management control system for a centralized control center according to claim 2, characterized in that: The expression of the electricity consumption dataset is Y1 m , Y2 m , Y3 m ,..., Yj m , Y1 m to Yj m are the electricity consumptions of the first to the j-th devices respectively, and m represents the time point for obtaining the electricity consumption of a single device.

4. A power consumption management and control system for a centralized control center according to claim 3, characterized in that: The expression of the electricity price dataset is J1 d , J2 d , J3 d ,..., Jg d , J1 d to Jg d are the time-of-use electricity prices for the first to the g-th time periods respectively, and d represents the time period.

5. The power consumption management control system for a centralized control center according to claim 4, wherein: The calculation process of the line resistance XR is as follows: According to the device data set, count the number of devices in the on state and mark it as x; Extract the configuration data of the i-th device in the device dataset when it is in the on state, and mark it as Si t ; Mark the line conductivity in Si t as P i ; mark the line length in Si t as L i ; mark the cross-sectional area of the line in Si t as M i ; In the formula, XR represents the line resistance, which represents the line resistance when the conductivity and cross-sectional area are constant and the centralized control center connects to the i-th device.

6. The power consumption management control system for a centralized control center according to claim 5, wherein: The calculation process of the power loss Dnsh is as follows: According to Si t , extract the power consumption of the i-th device in the power consumption dataset and label it as Yi m ; Dnsh = Yi m2 ×XR×Δm In the formula, Dnsh represents the power loss, Δm represents the total duration of the connection between the centralized control center and the i-th device, and Yi m2 ×XR×Δm represents the power loss when the centralized control center is connected to the i-th device according to Joule's law.

7. The power consumption management control system for a centralized control center according to claim 6, characterized in that: The calculation process of the electricity consumption index Ydzs is as follows: According to the electricity consumption dataset, count the electricity consumption of x devices in the on state and label it as Y1 m , Y2 m , Y3 m ,..., Yx m , Y1 m to Yx m are the electricity consumptions of the first to the xth devices in the on state respectively; In the formula, Ydzs represents the electricity consumption index, which is the average electricity consumption obtained by dividing the total electricity consumption of x devices in the on state by the number of devices. Yk m represents the electricity consumption of the k-th device in the on state, and the variance value obtained according to the variance formula is the electricity consumption index.

8. The power consumption management control system for a centralized control center according to claim 7, characterized in that: The calculation process of the device index Sbzs is as follows: According to the electricity consumption dataset, count the electricity consumption of the k-th device at different time points and label them as m1, m2, m3, ..., m z , where m1 to m z are the electricity consumption of the k-th device at the first to the z-th time points respectively; In the formula, Sbzs represents the equipment index, It means that the total power consumption of the k-th equipment is divided by the time point to obtain the average power consumption of the k-th equipment m f represents the power consumption at the f-th time point, It means that according to the variance formula, the obtained variance value is the equipment index.

9. The power consumption management control system for a centralized control center according to claim 8, characterized in that: The electricity consumption management unit analyzes the electricity quota Dlpe and cost quota Fype of all devices based on the electricity consumption data set and the electricity price data set. Its calculation process is as follows: According to the electricity consumption dataset, count the maximum electricity consumption of all devices and label them as max1, max2, max3, ..., max j , where max1 to max j are the maximum electricity consumption of the first to the jth devices respectively; Dlpe = max a : max b : max c In the formula, Dlpe represents the electricity quota, and max a represents the maximum electricity consumption of the a-th device, and max b represents the maximum electricity consumption of the b-th device, and max c represents the maximum electricity consumption of the c-th device, and max a :max b :max c represents the electricity quota when the centralized control center connects the a-th, b-th, and c-th devices simultaneously; Extract the time-of-use electricity price at the current time point from the electricity price data set and mark it as DJ; Fype = max a ×DJ: max b ×DJ: max c ×DJ In the formula, Fype represents the cost quota, max a ×DJ represents the maximum electricity cost of the a-th device at the current time point, max b ×DJ represents the maximum electricity cost of the b-th device at the current time point, max c ×DJ represents the maximum electricity cost of the c-th device at the current time point, (max a ×DJ):(max b ×DJ):(max c ×DJ) represents the cost quota when the centralized control center connects the a-th, b-th, and c-th devices simultaneously.

10. A power consumption management and control method for a centralized control center, which is applied to a power consumption management and control system for a centralized control center according to any one of claims 1-9, characterized in that, It includes the following steps: Step 1: Obtain the configuration data of all devices, the electricity consumption of all devices, and the time-of-use electricity prices for all time periods through a network connection to the centralized control center, and classify and form a device data set, an electricity consumption data set, and an electricity price data set; Step 2: Calculate the line resistance XR and the power loss Dnsh of each device in the on state based on the device data set and the electricity consumption data set, and analyze the change trend of the electricity consumption of all devices and the change trend of the electricity consumption of a single device at different time points, and generate the corresponding electricity consumption index Ydzs and device index Sbzs; Step 3: Analyze the power quota Dlpe and cost quota Fype of all devices based on the electricity consumption data set and electricity price data set; Step 4: Set a loss threshold SY within a fixed range, and combine it with the power loss Dnsh to determine the faulty device with abnormal electricity consumption. If the power loss Dnsh of a single device exceeds the loss threshold SY, it indicates that there is an abnormal fault phenomenon when the centralized control center connects to this device. Immediately stop connecting to this device, and then, in combination with the electricity consumption index Ydzs, device index Sbzs, power quota Dlpe and cost quota Fype, preferentially select the device with a smaller device index Sbzs and a balanced power quota Dlpe for connection.

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