Distributed energy regulation and control system based on dual-mode communication

Abstract

The invention relates to the technical field of energy regulation and control, and particularly discloses a distributed energy regulation and control system based on dual-mode communication, a dual-mode communication module intelligently selects an optimal communication link according to real-time communication parameters and environmental parameters, and data transmission reliability is guaranteed; the energy equipment supervision module monitors the running state of the equipment in real time and early warns a fault in time by constructing a state evaluation coefficient model; the energy regulation and control analysis module is used for calculating an energy regulation and control coefficient based on historical power utilization data of a user and automatically formulating a reasonable differentiated energy scheduling strategy; finally, the equipment control and execution module carries out centralized management and remotely executes the regulation and control instruction, accurate regulation and control of the distributed energy system are achieved, and the operation efficiency and stability of the system are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of energy regulation technology, specifically to a distributed energy regulation system based on dual-mode communication. Background Technology

[0002] With the rapid development of new energy technologies, distributed energy systems (such as distributed photovoltaics, wind power, energy storage, and microgrids) are increasingly accounting for a larger share of the energy supply system due to their clean, efficient, and flexible characteristics. However, distributed energy systems typically have characteristics such as wide distribution, a large number of nodes, and frequent dynamic changes in operating status, which places extremely high demands on the real-time performance, reliability, and data transmission efficiency of communication during energy regulation.

[0003] Existing distributed energy control systems have the following drawbacks: 1. Communication modes cannot be switched automatically, making them susceptible to interference and instability, leading to data transmission interruptions or delays; 2. Inappropriate energy control results in low operating efficiency or resource waste. Therefore, this invention proposes a distributed energy control system based on dual-mode communication. Summary of the Invention

[0004] The purpose of this invention is to provide a distributed energy regulation system based on dual-mode communication, thereby solving the above-mentioned technical problems: The objective of this invention can be achieved through the following technical solutions: A distributed energy regulation system based on dual-mode communication, the system comprising a dual-mode communication module, an energy equipment monitoring module, an energy regulation and analysis module, and an equipment control and execution module; The dual-mode communication module includes a carrier communication mode and a wireless communication mode, and is used to automatically select the appropriate communication mode according to the current communication parameters; The energy equipment monitoring module is used to monitor the operating status of each device in the distributed energy system in real time. When a device fault or abnormal operating status is detected, it will issue an early warning and provide fault location. The energy regulation and analysis module formulates reasonable energy dispatch strategies based on the collected electricity load data. The device control and execution module is used to control and set parameters for devices in the distributed energy system, thereby enabling centralized management and remote operation and maintenance of the distributed energy system.

[0005] As a further description of the present invention, the working process of the dual-mode communication module includes: By default, data transmission is based on wireless communication and communication parameters are monitored in real time. When any communication parameter reaches the corresponding switching threshold, it will automatically switch to wired communication. If all parameters do not reach the corresponding switching threshold, it will further determine whether to switch to wired communication.

[0006] As a further description of the present invention, the process of further determining whether to switch to wired communication includes: Obtain all communication parameters and environmental parameters during the current communication process, and construct a mathematical model for the communication switching coefficient. The expression is as follows: ; In the formula, n is the number of communication parameter items acquired, and m is the number of environmental parameter items acquired, where i belongs to n and j belongs to m. Let i be the actual value of the i-th communication parameter. The standard value for the i-th communication parameter set by the system. The allowable deviation range value for the i-th communication parameter set by the system. The weight coefficient corresponding to the i-th communication parameter is... Let j be the actual value of the j-th environmental parameter. The standard value of the j-th communication parameter set by the system. The system sets the allowable deviation range value for the j-th communication parameter. The weight coefficient corresponding to the j-th communication parameter. This is the distance compensation coefficient; Communication switching coefficient With the system-set switching coefficient threshold In comparison, if Greater than or equal to If the signal is lost, it will immediately and automatically switch to wired communication.

[0007] As a further description of the present invention, the distance compensation coefficient D is based on the signal transmission distance. Assign a value when Less than When, D=1; when Less than or equal to Less than When, D=1.2; when Less than or equal to Less than When, D=1.5; when Greater than or equal to At that time, D=3.

[0008] As a further description of the present invention, the working process of the energy equipment monitoring module includes: Number all energy devices sequentially as 1, 2, ..., y. Obtain the status parameters of the x-th energy device, where x belongs to y. Construct a mathematical model for the status evaluation coefficient of the x-th energy device, expressed as: ; In the formula, Let be the communication reliability impact index of the x-th energy device, q be the number of status parameter items acquired by the x-th device, and p belong to q. This represents the current actual value of the p-th state parameter. The system is set with reference values ​​for the p-th status parameter. This represents the allowable range value for the deviation of the p-th state parameter; The condition assessment coefficient of the xth energy device Compared with the system-defined threshold for the status assessment coefficient of the xth energy device ,like Greater than or equal to If the xth energy device is found to be malfunctioning, an immediate warning will be issued.

[0009] As a further description of the present invention, the communication reliability impact index of the xth energy device Assign values ​​based on the dual-mode state; if both modes are valid... =1; if at least one modulus is valid. =1.5; if both modes fail, =2.

[0010] As a further description of the present invention, the working process of the energy regulation and analysis module includes: All users are numbered sequentially as: 1, 2, ..., b. Historical electricity consumption data of all users is obtained. Based on the historical electricity consumption data of all users, the average historical electricity consumption of all users and the average historical electricity consumption of all users during peak hours are obtained. Obtain the historical electricity consumption of user v and its historical electricity consumption during peak hours. Calculate the difference between user v's historical electricity consumption and the average historical electricity consumption of all users, as well as the difference between user v's historical electricity consumption during peak hours and the average historical electricity consumption of all users during peak hours. Then, sum the two weighted electricity differences to obtain the energy control coefficient for user v. .

[0011] As a further description of the present invention, the working process of the energy regulation and analysis module also includes: The energy regulation coefficient of the Vth user With respect to the threshold range set by the system In comparison, if belong This indicates that the energy allocation for the Vth user is reasonable, and the current allocation should remain unchanged. like Greater than If the energy allocation for user V is excessive, then the energy allocation for user V should be reduced. like Less than If the energy allocation for user V is insufficient, then the energy allocation for user V should be increased.

[0012] The beneficial effects of this invention are as follows: This invention provides a distributed energy regulation system based on dual-mode communication. The dual-mode communication module integrates both wired and wireless communication methods, prioritizing wireless communication by default and monitoring communication and environmental parameters in real time. Based on the monitored parameters, it automatically switches communication modes. The energy equipment monitoring module assigns a unique number to each energy device in the system, collects its operating status parameters in real time, and determines whether the device is operating abnormally based on the status parameters. If an abnormality occurs, an early warning is issued immediately. The energy regulation and analysis module collects historical electricity consumption data from all users, calculates the overall average electricity consumption level and the average electricity consumption level during peak hours, and regulates user energy allocation based on the electricity consumption level. Through intelligent dual-mode communication, real-time equipment monitoring, and user electricity consumption analysis, reliable, efficient, and adaptive regulation of the distributed energy system is achieved. Attached Figure Description

[0013] The invention will now be further described with reference to the accompanying drawings.

[0014] Figure 1 This is a schematic diagram of the structure of the digital information-based comprehensive management system for physical education of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Please see Figure 1 As shown, a distributed energy regulation system based on dual-mode communication is disclosed. The system includes a dual-mode communication module, an energy equipment monitoring module, an energy regulation and analysis module, and an equipment control and execution module. The dual-mode communication module includes a carrier communication mode and a wireless communication mode, and is used to automatically select the appropriate communication mode according to the current communication parameters; The energy equipment monitoring module is used to monitor the operating status of each device in the distributed energy system in real time. When a device fault or abnormal operating status is detected, it will issue an early warning and provide fault location. The energy regulation and analysis module formulates reasonable energy dispatch strategies based on the collected electricity load data. The device control and execution module is used to control and set parameters for devices in the distributed energy system, thereby enabling centralized management and remote operation and maintenance of the distributed energy system.

[0017] As a further description of the present invention, the working process of the dual-mode communication module includes: By default, data transmission is based on wireless communication and communication parameters are monitored in real time. When any communication parameter reaches the corresponding switching threshold, it will automatically switch to wired communication. If all parameters do not reach the corresponding switching threshold, it will further determine whether to switch to wired communication.

[0018] Through the above technical solution, this invention provides a distributed energy regulation system based on dual-mode communication. The dual-mode communication module integrates wired and wireless communication methods, prioritizing wireless communication by default (high flexibility and low cost), and monitors communication parameters (such as bandwidth, latency, and packet loss rate) and environmental parameters (such as temperature and humidity) in real time. Based on the monitored parameters, it automatically switches communication modes. The energy equipment monitoring module assigns a unique number to each energy device in the system, collects its operating status parameters (such as voltage, current, temperature, and power) in real time, and determines whether the device is operating abnormally based on the status parameters. If an abnormality occurs, an early warning is issued immediately. The energy regulation and analysis module collects historical electricity consumption data from all users, calculates the overall average electricity consumption level and the average electricity consumption level during peak hours, and regulates user energy allocation based on the electricity consumption level. Through intelligent dual-mode communication, real-time equipment monitoring, and user electricity consumption analysis, reliable, efficient, and adaptive regulation of the distributed energy system is achieved.

[0019] As a further description of the present invention, the process of further determining whether to switch to wired communication includes: Obtain various communication parameters during the current communication process, including bandwidth, latency, packet loss rate, and power consumption. Also obtain various environmental parameters at the current moment, including temperature, humidity, and wind speed. Construct a mathematical model for the communication switching coefficient, expressed as: ; In the formula, n is the number of communication parameter items acquired, and m is the number of environmental parameter items acquired, where i belongs to n and j belongs to m. Let i be the actual value of the i-th communication parameter. The standard value for the i-th communication parameter set by the system. The allowable deviation range value for the i-th communication parameter set by the system. The weight coefficient corresponding to the i-th communication parameter is... Let j be the actual value of the j-th environmental parameter. The standard value of the j-th communication parameter set by the system. The system sets the allowable deviation range value for the j-th communication parameter. The weight coefficient corresponding to the j-th communication parameter. This is the distance compensation coefficient; Communication switching coefficient With the system-set switching coefficient threshold In comparison, if Greater than or equal to If the signal is lost, it will immediately and automatically switch to wired communication.

[0020] As a further description of the present invention, the distance compensation coefficient D is based on the signal transmission distance. Assign a value when Less than When, D=1; when Less than or equal to Less than When, D=1.2; when Less than or equal to Less than When, D=1.5; when Greater than or equal to At that time, D=3.

[0021] Through the above technical solution, this embodiment provides an intelligent switching strategy for a dual-mode communication module. The system defaults to using wireless communication (such as 4G / 5G, Wi-Fi) for data transmission because wireless communication has the advantages of flexible deployment and low cost, making it suitable as the main mode of daily communication. During wireless communication, the system continuously monitors key communication parameters (such as signal strength, bandwidth, latency, packet loss rate, signal-to-noise ratio, etc.) and sets a switching threshold (a safety baseline) for each key parameter. As long as any parameter deteriorates to the point of exceeding its corresponding threshold (for example, latency suddenly spikes from 50ms to 500ms, or packet loss rate is greater than 10%), the system will immediately trigger a switching action, automatically switching from wireless communication to wired communication (such as Ethernet, fiber optic) to ensure the timeliness and reliability of data transmission and prevent communication interruption. When all communication parameters are within the normal range (i.e., no fast handover is triggered), the system does not simply maintain wireless status. Instead, it enters a more intelligent comprehensive evaluation phase to prevent potential problems. This phase involves acquiring various communication parameters and environmental parameters during the current communication process and constructing a mathematical model for the communication handover coefficients. In the formula, The degree of total deviation of communication parameters, The overall environmental condition deviation is represented by D, which is the distance compensation coefficient. The greater the distance, the larger the value of D, thus amplifying the overall S value and reducing the communication switching coefficient. With the system-set switching coefficient threshold In comparison, if Greater than or equal to If the signal is lost, it will immediately and automatically switch to wired communication.

[0022] This ensures that the system can automatically select the most reliable and appropriate communication method under any circumstances, providing a solid data transmission foundation for the entire distributed energy control system.

[0023] Specific examples Obtain the actual data collected at the current moment, including the actual values ​​of the communication parameters: (Signal strength) = -105dBm (Network latency) = 75ms (Packet loss rate) = 0.8% (Download speed) = 60Mbps; Actual values ​​of environmental parameters: (Temperature) = 35℃ (Temperature) = 70% (Wind speed) = 8 m / s; Transmission distance: d = 600m; Substituting into the mathematical model, S=0.9, and the system's set switching threshold is 1.0; 0.9<1.0, so the system determines that the overall state of the current wireless communication link is acceptable, does not trigger a switch to wired communication, and continues to maintain the wireless connection.

[0024] As a further description of the present invention, the working process of the energy equipment monitoring module includes: Number all energy devices sequentially as 1, 2, ..., y. Obtain the status parameters of the x-th energy device, where x belongs to y. Construct a mathematical model for the status evaluation coefficient of the x-th energy device, expressed as: ; In the formula, Let be the communication reliability impact index of the x-th energy device, q be the number of status parameter items acquired by the x-th device, and p belong to q. This represents the current actual value of the p-th state parameter. The system is set with reference values ​​for the p-th status parameter. This represents the allowable range value for the deviation of the p-th state parameter; The condition assessment coefficient of the xth energy device Compared with the system-defined threshold for the status assessment coefficient of the xth energy device ,like Greater than or equal to If the xth energy device is found to be malfunctioning, an immediate warning will be issued.

[0025] As a further description of the present invention, the communication reliability impact index of the xth energy device Assign values ​​based on the dual-mode state; if both modes are valid... =1; if at least one modulus is valid. =1.5; if both modes fail, =2.

[0026] Through the above technical solution, this embodiment provides a method for real-time and automatic diagnosis of the health status of various devices in a distributed energy system, timely warnings when abnormalities occur, and the construction of a mathematical model for the status evaluation coefficient of the x-th energy device. In the formula, This measure uses the ratio of the actual value deviating from the standard value to the allowable deviation. A larger ratio indicates a more severe anomaly in that parameter. The exponential function is designed for amplification; even slight deviations in multiple parameters will be amplified exponentially, enabling sensitive detection of potential, early-stage anomalies and providing an early warning function, rather than waiting for parameters to exceed limits before triggering an alarm. It is a basic multiplier that reflects the reliability of the monitoring data itself, and it is used to evaluate the status of the xth energy device. Compared with the system-defined threshold for the status assessment coefficient of the xth energy device ,like Greater than or equal to If the xth energy device is found to be malfunctioning, an early warning will be issued immediately. This implementation not only focuses on the deviation of the physical parameters of the equipment itself, but also considers the impact of the health status of the underlying communication system on the reliability of the diagnostic results.

[0027] Calculation Example Assuming that the communication status of an inverter is at least one active mode, =1.5, and the calculated result of the summation of its internal temperature parameter deviation is 0.8. =3.34, if If the value is 3.0, the system will determine that the inverter is abnormal and issue a warning.

[0028] Comparative analysis: If communication is dual-mode effective, =1, then =2.23, which is below the threshold of 3.0, so no warning will be triggered. This demonstrates the direct impact of communication reliability on diagnostic results.

[0029] As a further description of the present invention, the working process of the energy regulation and analysis module includes: All users are numbered sequentially as: 1, 2, ..., b. Historical electricity consumption data of all users is obtained. Based on the historical electricity consumption data of all users, the average historical electricity consumption of all users and the average historical electricity consumption of all users during peak hours are obtained. Obtain the historical electricity consumption of user v and its historical electricity consumption during peak hours. Calculate the difference between user v's historical electricity consumption and the average historical electricity consumption of all users, as well as the difference between user v's historical electricity consumption during peak hours and the average historical electricity consumption of all users during peak hours. Then, sum the two weighted electricity differences to obtain the energy control coefficient for user v. .

[0030] As a further description of the present invention, the working process of the energy regulation and analysis module also includes: The energy regulation coefficient of the Vth user With respect to the threshold range set by the system In comparison, if belong This indicates that the energy allocation for the Vth user is reasonable, and the current allocation should remain unchanged. like Greater than If the energy allocation for user V is excessive, then the energy allocation for user V should be reduced. like Less than If the energy allocation for user V is insufficient, then the energy allocation for user V should be increased.

[0031] Through the above technical solution, this embodiment provides a method for energy regulation of different users. The system collects historical electricity consumption data of all users (numbered 1, 2, ..., b). Based on this data, two key global averages are calculated: the average total electricity consumption of all users within a statistical period (e.g., one month), and the average total electricity consumption of all users during a predefined "peak period" (e.g., 7 PM - 10 PM). This reflects electricity consumption behavior when the grid pressure is greatest. For user v, two data points are obtained: user v's historical total electricity consumption and user v's historical peak-period electricity consumption. Then, the total electricity consumption difference and peak-period electricity consumption difference are calculated. The two differences are weighted and summed to obtain the final energy regulation coefficient for user v. With respect to the threshold range set by the system In comparison, if belong This indicates that the energy allocation for the Vth user is reasonable, and the current allocation should remain unchanged; if Greater than If the energy allocation for user V is excessive, then the energy allocation for user V should be reduced; if Less than If the energy allocation for user V is insufficient, then the energy allocation for user V should be increased.

[0032] It should be noted that the formulas in this application are all dimensionless numerical calculations, implemented using existing technology, and need no further explanation. The formulas are derived from software simulations using a large amount of collected data, and are the closest to the real situation. The thresholds, threshold ranges, and coefficients involved in this application are all empirical values, and their selection is made by those skilled in the art based on the actual situation.

[0033] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A distributed energy regulation system based on dual-mode communication, characterized in that, The system includes a dual-mode communication module, an energy equipment monitoring module, an energy regulation and analysis module, and an equipment control and execution module; The dual-mode communication module includes a carrier communication mode and a wireless communication mode, and is used to automatically select the appropriate communication mode according to the current communication parameters; The energy equipment monitoring module is used to monitor the operating status of each device in the distributed energy system in real time. When a device fault or abnormal operating status is detected, it will issue an early warning and provide fault location. The energy regulation and analysis module formulates reasonable energy dispatch strategies based on the collected electricity load data. The device control and execution module is used to control and set parameters for devices in the distributed energy system, thereby enabling centralized management and remote operation and maintenance of the distributed energy system.

2. The distributed energy regulation system based on dual-mode communication according to claim 1, characterized in that, The operation process of the dual-mode communication module includes: By default, data transmission is based on wireless communication and communication parameters are monitored in real time. When any communication parameter reaches the corresponding switching threshold, it will automatically switch to wired communication. If all parameters do not reach the corresponding switching threshold, it will further determine whether to switch to wired communication.

3. A distributed energy regulation system based on dual-mode communication according to claim 2, characterized in that, The further process of determining whether to switch to wired communication includes: Obtain all communication parameters and environmental parameters during the current communication process, and construct a mathematical model for the communication switching coefficient. The expression is as follows: ; In the formula, n is the number of communication parameter items acquired, and m is the number of environmental parameter items acquired, where i belongs to n and j belongs to m. Let i be the actual value of the i-th communication parameter. The standard value for the i-th communication parameter set by the system. The allowable deviation range value for the i-th communication parameter set by the system. The weight coefficient corresponding to the i-th communication parameter is... Let j be the actual value of the j-th environmental parameter. The standard value of the j-th communication parameter set by the system. The allowable deviation range value of the j-th communication parameter set by the system. The weight coefficient corresponding to the j-th communication parameter. This is the distance compensation coefficient; Communication switching coefficient With the system-set switching coefficient threshold In comparison, if Greater than or equal to If the signal is lost, the system will immediately and automatically switch to wired communication.

4. A distributed energy regulation system based on dual-mode communication according to claim 3, characterized in that, The distance compensation coefficient D is based on the signal transmission distance. Assign a value when Less than When, D=1; when Less than or equal to Less than When, D=1.2; when Less than or equal to Less than When, D=1.5; when Greater than or equal to At that time, D=3.

5. A distributed energy regulation system based on dual-mode communication according to claim 1, characterized in that, The working process of the energy equipment monitoring module includes: Number all energy devices sequentially as 1, 2, ..., y. Obtain the status parameters of the x-th energy device, where x belongs to y. Construct a mathematical model for the status evaluation coefficient of the x-th energy device, expressed as: ； In the formula, Let be the communication reliability impact index of the x-th energy device, q be the number of status parameter items acquired by the x-th device, and p belong to q. This represents the current actual value of the p-th state parameter. The system is set with reference values ​​for the p-th status parameter. This represents the allowable range value for the deviation of the p-th state parameter; The condition assessment coefficient of the xth energy device Compared with the system-defined threshold for the status assessment coefficient of the xth energy device ,like Greater than or equal to If the xth energy device is found to be malfunctioning, an immediate warning will be issued.

6. A distributed energy regulation system based on dual-mode communication according to claim 5, characterized in that, The communication reliability impact index of the xth energy device Assign values ​​based on the dual-mode state; if both modes are valid... =1; if at least one modulus is valid. =1.5; if both modes fail, =2.

7. A distributed energy regulation system based on dual-mode communication according to claim 1, characterized in that, The working process of the energy regulation and analysis module includes: All users are numbered sequentially as: 1, 2, ..., b. Historical electricity consumption data of all users is obtained. Based on the historical electricity consumption data of all users, the average historical electricity consumption of all users and the average historical electricity consumption of all users during peak hours are obtained. Obtain the historical electricity consumption of user v and its historical electricity consumption during peak hours. Calculate the difference between user v's historical electricity consumption and the average historical electricity consumption of all users, as well as the difference between user v's historical electricity consumption during peak hours and the average historical electricity consumption of all users during peak hours. Then, sum the two weighted electricity differences to obtain the energy control coefficient for user v. .

8. A distributed energy regulation system based on dual-mode communication according to claim 7, characterized in that, The working process of the energy regulation and analysis module also includes: The energy regulation coefficient of the Vth user With respect to the threshold range set by the system In comparison, if belong This indicates that the energy allocation for the Vth user is reasonable, and the current allocation should remain unchanged. like Greater than If the energy allocation for user V is excessive, then the energy allocation for user V should be reduced. like Less than If the energy allocation for user V is insufficient, then the energy allocation for user V should be increased.

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