A new power system safety control system based on internet of things technology

Abstract

The application relates to the technical field of Internet of Things, and particularly discloses a novel power system safety control system based on Internet of Things technology, which comprises a power system database module, a power data acquisition module, an electric energy quality analysis and judgment module, a power grid stability analysis and judgment module, a power metering error correction module, a power safety early warning module and a man-machine interaction module; the application establishes a power database, obtains electric energy quality evaluation indexes and power grid stability evaluation indexes through power data collection and analysis, establishes a power safety early warning index model through the error-corrected electric energy quality evaluation indexes and power grid stability evaluation indexes to obtain a power safety early warning index, evaluates the safety state of the power system, immediately issues an early warning signal when potential risks are found, in addition, the application of the Internet of Things technology improves the operation efficiency and stability of the power system, reduces operation and maintenance costs, helps reduce enterprise power consumption costs and improves economic benefits.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a novel power system safety control system based on Internet of Things technology. Background Art

[0002] In recent years, the rapid development of the Internet of Things (IoT) has provided new solutions for the safe control of new power systems. Through sensors, smart devices, wireless communication networks, and cloud computing platforms, IoT technology enables real-time monitoring, data transmission, and intelligent analysis of all aspects of new power systems. The application of this technology not only improves the monitoring accuracy and response speed of new power systems, but also reduces operation and maintenance costs and enhances system security and reliability.

[0003] Traditional control methods for new power system safety control systems primarily rely on manual inspections and fixed monitoring equipment, implemented through a combination of centralized monitoring, preset protection strategies, and manual intervention. These systems rely on a large number of hardware devices, such as relays, protection devices, circuit breakers, and traditional supervisory control and data acquisition (SCADA) systems. In emergency situations, power system operators must perform manual operations based on actual conditions, such as adjusting generator output power and switching to backup power sources. While traditional power system safety control systems have played an important role in the past, they also have significant shortcomings in data acquisition and processing capabilities, emergency response speed, and intelligent and adaptive capabilities.

[0004] The limitations of traditional new power system safety control systems are manifested in the following aspects: First, traditional systems typically only capture limited operational data, making it difficult to fully monitor the grid status. Second, their limited data processing capabilities prevent real-time analysis and prediction of massive amounts of data. Furthermore, traditional systems lack detailed analysis of power quality and grid stability, hindering the normal operation of new power systems. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a novel power system safety control system based on Internet of Things technology to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: a new power system safety control system based on Internet of Things technology, including a power system database module, a power data acquisition module, a power quality analysis and judgment module, a power grid stability analysis and judgment module, a power metering error correction module, a power safety early warning module and a human-computer interaction module.

[0007] The power system database module is used to collect and store power data from the power system to obtain a power database, and adjust and update the power database according to the safety control results;

[0008] The power data acquisition module is used to obtain power data parameters from the power system database module, wherein the power data parameters include power quality parameters and grid stability parameters;

[0009] The power quality analysis and judgment module is used to import the power quality parameters transmitted by the power data acquisition module into the power quality index model to obtain the power quality evaluation index, and perform judgment and analysis on the power quality evaluation index and the preset threshold value, and transmit the result to the power metering error correction module;

[0010] The grid stability analysis and judgment module is used to import the grid stability parameters transmitted by the power data acquisition module into the grid stability index model to obtain a grid stability evaluation index, and perform judgment and analysis on the grid stability evaluation index and a preset threshold value, and transmit the result to the power metering error correction module;

[0011] The power metering error correction module is used to perform error correction on the data transmitted by the power quality analysis and judgment module and the grid stability analysis and judgment module, and transmit the error-corrected data to the power safety early warning module;

[0012] The power safety warning module establishes a power safety warning model based on the error-corrected data of the power metering error correction module to obtain a power safety warning index, performs judgment and analysis on the power safety warning index, and transmits the judgment and analysis results to the human-computer interaction module;

[0013] The human-computer interaction module is used to receive the analysis and judgment results of the power safety early warning module, provide managers with a visual display interface, and provide managers with safety control strategies.

[0014] The power quality parameters include voltage value, actual frequency and nominal frequency in the power system; the grid stability parameters include effective current value, load resistance and short-circuit current.

[0015] Preferably, the calculation steps of the power quality evaluation index are specifically as follows:

[0016] S1: Calculate the voltage fluctuation amplitude. The calculation model is as follows:

[0017] Among them, Vfa represents the voltage fluctuation amplitude, N represents the number of samples of voltage measurement, and U i+1 It is expressed as the voltage value of the i+1th measurement, U i It is represented as the voltage value measured at the i-th time;

[0018] S2: Calculate the maximum frequency deviation. The calculation model is as follows:

[0019] Mfd = maxf(t) - f standard |, where Mfd represents the maximum frequency deviation, f(t) represents the actual frequency in the power system at time t, and f 标 Expressed as the nominal frequency in the power system;

[0020] S3: Calculate the power quality evaluation index. The calculation model is as follows:

[0021] Among them, PQI represents the power quality evaluation index, Vfa 预 Expressed as the preset standard voltage fluctuation amplitude, Mfd 预 Indicates the preset standard maximum frequency deviation value.

[0022] Preferably, the power quality analysis and judgment module performs judgment and analysis on the power quality evaluation index and the preset threshold value in the following specific manner:

[0023] The extracted power quality assessment index is compared with the preset power quality threshold. If the power quality assessment index is less than the preset power quality threshold, it is judged that there is an abnormality in the power quality of the new power system, and safety control operations are performed on the abnormal data. Otherwise, it is judged that there is no abnormality in the power quality of the new power system.

[0024] Preferably, the calculation steps of the power grid stability assessment index are as follows:

[0025] S1: Calculate the power loss of three-phase unbalanced load. The calculation model is as follows:

[0026] Where, Pl represents the power loss, I a Expressed as the effective value of the current of phase a, I b Expressed as the effective value of the current of phase b, I c Expressed as the effective value of the current of phase c, R a Expressed as the load resistance of phase a, R b Represented as the b-phase load resistance, R c It is represented as the load resistance of phase c;

[0027] S2: Calculate the grid stability evaluation index. The calculation model is as follows:

[0028] Among them, PSI represents the grid stability evaluation index, and I_sc represents the short-circuit current.

[0029] Preferably, the specific manner in which the grid stability analysis and judgment module performs judgment and analysis on the grid stability evaluation index and the preset threshold value is:

[0030] The grid stability evaluation index is extracted and compared with the preset grid stability threshold. If the grid stability evaluation index is less than the preset grid stability threshold, it is judged that there is an abnormality in the grid stability of the new power system, and a stabilization control operation is performed on the abnormal data. Otherwise, it is judged that there is no abnormality in the grid stability of the new power system.

[0031] Preferably, the specific manner in which the power metering error correction module performs error correction on the power quality evaluation index transmitted by the power quality analysis and judgment module is:

[0032] Establish a power quality error correction coefficient model. The specific model is as follows:

[0033] Wherein, α represents the power quality error correction coefficient, m represents the number of power measurement, where j = 1, 2, 3, ... m, PQI represents the power quality evaluation index, PQ0 represents the predicted power quality, Expressed as average power quality;

[0034] The power quality evaluation index after error correction is: PQI×α;

[0035] The specific method in which the power metering error correction module performs error correction on the grid stability evaluation index transmitted by the grid stability analysis and judgment module is as follows:

[0036] Where β is the grid stability error correction coefficient, m is the number of energy measurements, where j = 1, 2, 3, ... m, PSI is the grid stability assessment index, PS is the predicted grid stability, Expressed as average grid stability;

[0037] The grid stability evaluation index after error correction is: PSI×β.

[0038] Preferably, the calculation model of the power safety early warning index is as follows:

[0039] Among them, SWI represents the power security early warning index, PQI×α represents the power quality assessment index after error correction, PSI×β represents the grid stability assessment index after error correction, and λ represents other influencing factors of the power security early warning index.

[0040] Preferably, the power safety warning module performs judgment and analysis on the power safety warning index in the following specific manner:

[0041] The power safety warning index is extracted and compared with the preset safety warning threshold. If the power safety warning index is greater than the preset safety warning threshold, it is judged that there is an abnormality in the power safety of the new power system, and the power system is safely controlled and regulated and an early warning signal is issued. Otherwise, it is judged that there is no abnormality in the power safety of the new power system.

[0042] Technical effects and advantages of the present invention:

[0043] 1. The present invention uses Internet of Things technology to achieve real-time monitoring of the power system. By collecting and analyzing a large amount of real-time data, the system can promptly detect potential safety hazards and issue early warning signals, effectively avoiding the occurrence of faults and improving the overall safety of the power system.

[0044] 2. The application of IoT technology in this invention improves the operating efficiency and stability of the power system and reduces operation and maintenance costs. At the same time, through intelligent analysis and decision support, it provides enterprises with more accurate electricity management solutions, helping to reduce corporate electricity costs and improve economic benefits.

[0045] 3. The present invention establishes an electric power database, collects and analyzes electric power data to obtain power quality evaluation indicators and grid stability evaluation indicators, and establishes an electric power safety early warning index model through the error-corrected power quality evaluation indicators and grid stability evaluation indicators to obtain the electric power safety early warning index. Through the Internet of Things technology, the system can evaluate the safety status of the power system in real time and immediately issue a warning signal when potential risks are discovered. It also provides a visual interface and electric power safety control strategy for power system managers. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without inventive effort.

[0047] Figure 1 Schematic diagram of the overall structure of the system of the present invention. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0049] See also Figure 1As shown, the present invention provides a new power system safety control system based on Internet of Things technology, including a power system database module, a power data acquisition module, a power quality analysis and judgment module, a power grid stability analysis and judgment module, a power metering error correction module, a power safety early warning module and a human-computer interaction module.

[0050] The output end of the power data acquisition module is respectively connected to the input end of the power quality analysis and judgment module and the input end of the power grid stability analysis and judgment module; the output end of the power quality analysis and judgment module is connected to the input end of the power metering error correction module; the output end of the power grid stability analysis and judgment module is connected to the input end of the power metering error correction module; the output end of the power metering error correction module is connected to the input end of the power safety early warning module; the output end of the power safety early warning module is connected to the input end of the human-computer interaction module; and the power system database module is connected to all modules.

[0051] The power system database module is used to collect and store power data from the power system to obtain a power database, and adjust and update the power database according to the safety control results;

[0052] The power data acquisition module is used to obtain power data parameters from the power system database module, wherein the power data parameters include power quality parameters and grid stability parameters;

[0053] In this embodiment, it should be specifically explained that the power quality parameters include voltage value, actual frequency and nominal frequency in the power system; and the grid stability parameters include effective current value, load resistance and short-circuit current.

[0054] The power quality analysis and judgment module is used to import the power quality parameters transmitted by the power data acquisition module into the power quality index model to obtain the power quality evaluation index, and perform judgment and analysis on the power quality evaluation index and the preset threshold value, and transmit the result to the power metering error correction module;

[0055] In this embodiment, it should be specifically explained that the calculation steps of the power quality evaluation index are as follows:

[0056] S1: Calculate the voltage fluctuation amplitude. The calculation model is as follows:

[0057] Among them, Vfa represents the voltage fluctuation amplitude, N represents the number of samples of voltage measurement, and U i+1 It is expressed as the voltage value of the i+1th measurement, U i It is represented as the voltage value measured at the i-th time;

[0058] S2: Calculate the maximum frequency deviation. The calculation model is as follows:

[0059] Mfd = maxf(t) - f standard |, where Mfd represents the maximum frequency deviation, f(t) represents the actual frequency in the power system at time t, and f 标 Expressed as the nominal frequency in the power system;

[0060] S3: Calculate the power quality evaluation index. The calculation model is as follows:

[0061] Among them, PQI represents the power quality evaluation index, Vfa 预 Expressed as the preset standard voltage fluctuation amplitude, Mfd 预 Expressed as the preset standard maximum frequency deviation value;

[0062] In this embodiment, it should be specifically explained that the specific manner in which the power quality analysis and judgment module judges and analyzes the power quality assessment index and the preset threshold is:

[0063] The extracted power quality assessment index is compared with the preset power quality threshold. If the power quality assessment index is less than the preset power quality threshold, it is judged that there is an abnormality in the power quality of the new power system, and safety control operations are performed on the abnormal data. Otherwise, it is judged that there is no abnormality in the power quality of the new power system.

[0064] The grid stability analysis and judgment module is used to import the grid stability parameters transmitted by the power data acquisition module into the grid stability index model to obtain a grid stability evaluation index, and perform judgment and analysis on the grid stability evaluation index and a preset threshold value, and transmit the result to the power metering error correction module;

[0065] In this embodiment, it should be specifically explained that the calculation steps of the power grid stability evaluation index are as follows:

[0066] S1: Calculate the power loss of three-phase unbalanced load. The calculation model is as follows:

[0067] Where, Pl represents the power loss, I a Expressed as the effective value of the current of phase a, I b Expressed as the effective value of the current of phase b, I c Expressed as the effective value of the current of phase c, R a Expressed as the load resistance of phase a, R b Represented as the b-phase load resistance, R c It is represented as the load resistance of phase c;

[0068] S2: Calculate the grid stability evaluation index. The calculation model is as follows:

[0069] Among them, PSI represents the grid stability evaluation index, and I_sc represents the short-circuit current.

[0070] In this embodiment, it should be specifically explained that the specific manner in which the grid stability analysis and judgment module performs judgment and analysis on the grid stability assessment index and the preset threshold value is as follows:

[0071] The grid stability evaluation index is extracted and compared with the preset grid stability threshold. If the grid stability evaluation index is less than the preset grid stability threshold, it is judged that there is an abnormality in the grid stability of the new power system, and a stabilization control operation is performed on the abnormal data. Otherwise, it is judged that there is no abnormality in the grid stability of the new power system.

[0072] The power metering error correction module is used to perform error correction on the data transmitted by the power quality analysis and judgment module and the grid stability analysis and judgment module, and transmit the error-corrected data to the power safety early warning module;

[0073] In this embodiment, it should be specifically explained that the specific manner in which the power metering error correction module performs error correction on the power quality evaluation index transmitted by the power quality analysis and judgment module is:

[0074] Establish a power quality error correction coefficient model. The specific model is as follows:

[0075] Wherein, α represents the power quality error correction coefficient, m represents the number of power measurement, where j = 1, 2, 3, ... m, PQI represents the power quality evaluation index, PQ0 represents the predicted power quality, Expressed as average power quality;

[0076] The power quality evaluation index after error correction is: PQI×α;

[0077] In this embodiment, it should be specifically explained that the specific manner in which the power metering error correction module performs error correction on the grid stability evaluation index transmitted by the grid stability analysis and judgment module is:

[0078] Where β is the grid stability error correction coefficient, m is the number of energy measurements, where j = 1, 2, 3, ... m, PSI is the grid stability assessment index, PS is the predicted grid stability, Expressed as average grid stability;

[0079] The grid stability evaluation index after error correction is: PSI×β.

[0080] The power safety warning module establishes a power safety warning model based on the error-corrected data of the power metering error correction module to obtain a power safety warning index, performs judgment and analysis on the power safety warning index, and transmits the judgment and analysis results to the human-computer interaction module;

[0081] In this embodiment, it should be specifically explained that the calculation model of the power safety early warning index is as follows:

[0082] Among them, SWI represents the power security early warning index, PQI×α represents the power quality assessment index after error correction, PSI×β represents the grid stability assessment index after error correction, and λ represents other influencing factors of the power security early warning index.

[0083] In this embodiment, it should be specifically explained that the specific manner in which the power safety warning module judges and analyzes the power safety warning index is as follows:

[0084] The power safety warning index is extracted and compared with the preset safety warning threshold. If the power safety warning index is greater than the preset safety warning threshold, it is judged that there is an abnormality in the power safety of the new power system, and the power system is safely controlled and regulated and an early warning signal is issued. Otherwise, it is judged that there is no abnormality in the power safety of the new power system.

[0085] The human-computer interaction module is used to receive the analysis and judgment results of the power safety early warning module, provide managers with a visual display interface, and provide managers with safety control strategies.

[0086] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0087] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A new power system safety control system based on Internet of Things technology, characterized by: It includes power system database module, power data acquisition module, power quality analysis and judgment module, power grid stability analysis and judgment module, power metering error correction module, power safety early warning module and human-computer interaction module; The power system database module is used to collect and store power data from the power system to obtain a power database, and adjust and update the power database according to the safety control results; The power data acquisition module is used to obtain power data parameters from the power system database module, wherein the power data parameters include power quality parameters and grid stability parameters; The power quality analysis and judgment module is used to import the power quality parameters transmitted by the power data acquisition module into the power quality index model to obtain power quality evaluation indicators, and perform judgment and analysis on the power quality evaluation indicators and preset thresholds, and transmit the results to the power metering error correction module; The grid stability analysis and judgment module is used to import the grid stability parameters transmitted by the power data acquisition module into the grid stability index model to obtain a grid stability evaluation index, and perform judgment and analysis on the grid stability evaluation index and a preset threshold value, and transmit the result to the power metering error correction module; The power metering error correction module is used to perform error correction on the data transmitted by the power quality analysis and judgment module and the grid stability analysis and judgment module, and transmit the error-corrected data to the power safety early warning module; The specific method in which the power metering error correction module performs error correction on the power quality evaluation index transmitted by the power quality analysis and judgment module is as follows: Establish a power quality error correction coefficient model. The specific model is as follows: Wherein, α represents the power quality error correction coefficient, m represents the number of power measurement, where j = 1, 2, 3, ... m, PQI represents the power quality evaluation index, PQ0 represents the predicted power quality, Expressed as average power quality; The power quality evaluation index after error correction is: PQI×α; The specific method in which the power metering error correction module performs error correction on the grid stability evaluation index transmitted by the grid stability analysis and judgment module is as follows: Where β is the grid stability error correction coefficient, m is the number of energy measurements, where j = 1, 2, 3, ... m, PSI is the grid stability assessment index, PS is the predicted grid stability, Expressed as average grid stability; The grid stability evaluation index after error correction is: PSI×β; The power safety warning module establishes a power safety warning model based on the error-corrected data of the power metering error correction module to obtain a power safety warning index, performs judgment and analysis on the power safety warning index, and transmits the judgment and analysis results to the human-computer interaction module; The human-computer interaction module is used to receive the analysis and judgment results of the power safety early warning module, provide managers with a visual display interface, and provide managers with safety control strategies.

2. The novel power system safety control system based on Internet of Things technology according to claim 1 is characterized by: The power quality parameters include voltage value, actual frequency and nominal frequency in the power system; the grid stability parameters include effective current value, load resistance and short-circuit current.

3. The novel power system safety control system based on Internet of Things technology according to claim 1 is characterized by: The calculation steps of the power quality evaluation index are as follows: S1: Calculate the voltage fluctuation amplitude. The calculation model is as follows: Among them, Vfa represents the voltage fluctuation amplitude, N represents the number of samples of voltage measurement, and U i+1 It is expressed as the voltage value of the i+1th measurement, U i It is represented by the voltage value measured at the i-th time; S2: Calculate the maximum frequency deviation. The calculation model is as follows: Mfd=max|f(t)-f 标 |, where Mfd represents the maximum frequency deviation, f(t) represents the actual frequency in the power system at time t, and f 标 Expressed as the nominal frequency in the power system; S3: Calculate the power quality evaluation index. The calculation model is as follows: Among them, PQI represents the power quality evaluation index, Vfa 预 Expressed as the preset standard voltage fluctuation amplitude, Mfd 预 Indicates the preset standard maximum frequency deviation value.

4. The novel power system safety control system based on Internet of Things technology according to claim 1 is characterized by: The specific method in which the power quality analysis and judgment module judges and analyzes the power quality evaluation index and the preset threshold value is as follows: The extracted power quality assessment index is compared with the preset power quality threshold. If the power quality assessment index is less than the preset power quality threshold, it is judged that there is an abnormality in the power quality of the new power system, and safety control operations are performed on the abnormal data. Otherwise, it is judged that there is no abnormality in the power quality of the new power system.

5. The novel power system safety control system based on Internet of Things technology according to claim 1 is characterized by: The calculation steps of the power grid stability evaluation index are as follows: S1: Calculate the power loss of three-phase unbalanced load. The calculation model is as follows: Where, Pl represents the power loss, I a Expressed as the effective value of the current of phase a, I b Expressed as the effective value of the current of phase b, I c Expressed as the effective value of the current of phase c, R a Expressed as the load resistance of phase a, R b Represented as the b-phase load resistance, R c It is represented as the load resistance of phase c; S2: Calculate the grid stability evaluation index. The calculation model is as follows: Among them, PSI represents the grid stability evaluation index, and I_sc represents the short-circuit current.

6. The novel power system safety control system based on Internet of Things technology according to claim 1 is characterized by: The specific method of judging and analyzing the grid stability evaluation index and the preset threshold value of the grid stability analysis and judgment module is as follows: The grid stability evaluation index is extracted and compared with the preset grid stability threshold. If the grid stability evaluation index is less than the preset grid stability threshold, it is judged that there is an abnormality in the grid stability of the new power system, and a stabilization control operation is performed on the abnormal data. Otherwise, it is judged that there is no abnormality in the grid stability of the new power system.

7. The novel power system safety control system based on Internet of Things technology according to claim 1 is characterized by: The calculation model of the power safety early warning index is as follows: Among them, SWI represents the power security early warning index, PQI×α represents the power quality assessment index after error correction, PSI×β represents the grid stability assessment index after error correction, and λ represents other influencing factors of the power security early warning index.

8. The novel power system safety control system based on Internet of Things technology according to claim 1 is characterized by: The specific method in which the power safety early warning module judges and analyzes the power safety early warning index is as follows: The power safety warning index is extracted and compared with the preset safety warning threshold. If the power safety warning index is greater than the preset safety warning threshold, it is judged that there is an abnormality in the power safety of the new power system, and the power system is safely controlled and regulated and an early warning signal is issued. Otherwise, it is judged that there is no abnormality in the power safety of the new power system.

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