Novel power system safety control system based on Internet of Things technology

Abstract

The invention relates to the technical field of the Internet of Things, and particularly discloses a novel power system safety control system based on the Internet of Things technology. Comprising 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 man-machine interaction module. According to the method, the electric power database is established, the electric power data is acquired and analyzed to obtain the electric power quality evaluation index and the power grid stability evaluation index, and the electric power safety early warning index model is established through the electric power quality evaluation index and the power grid stability evaluation index after error correction to obtain the electric power safety early warning index. The safety state of the electric power system is evaluated, an early warning signal is sent out immediately when potential risks are found, in addition, due to application of the Internet of Things technology, the operation efficiency and stability of the electric power system are improved, the operation and maintenance cost is reduced, the power utilization cost of enterprises is reduced, and economic benefits are improved.

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 the Internet of Things technology. Background Art

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

[0003] The control methods of traditional new power system safety control systems mainly rely on manual inspections and fixed monitoring equipment, which are 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 data acquisition and monitoring systems (SCADA). In an emergency, the operators of the power system need to perform manual operations according to the actual situation, such as adjusting the output power of the generator, switching the backup power supply, etc. Although the traditional power system safety control system has played an important role in the past, it also has obvious deficiencies 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 specifically manifested in the following aspects: On the one hand, traditional systems can usually only obtain limited operating data, making it difficult to achieve comprehensive monitoring of the power grid status. On the other hand, the data processing capacity is limited and it is impossible to perform real-time analysis and prediction of massive data. In addition, the traditional system's analysis of power quality and power grid stability is not detailed enough, which affects the normal operation of the new power system. 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 new 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-mentioned objectives, the present invention provides the following technical solutions: a new type of 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] A power data acquisition module, used to acquire power data parameters from the power system database module, wherein the power data parameters include power quality parameters and power 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 to judge and analyze the power quality evaluation index and the preset threshold value, and transmit the result to the power metering error correction module;

[0010] The power grid stability analysis and judgment module is used to import the power grid stability parameters transmitted by the power data acquisition module into the power grid stability index model to obtain the power grid stability evaluation index, and to judge and analyze the power grid stability evaluation index and the 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 power grid stability analysis and judgment module, and transmit the error-corrected data to the power safety early warning module;

[0012] The power safety early warning module establishes a power safety early warning model according to the error-corrected data of the power metering error correction module to obtain a power safety early warning index, and performs judgment and analysis on the power safety early 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 assessment index are specifically as follows:

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

[0017] Where Vfa is the voltage fluctuation amplitude, N is the number of samples measured for voltage, and U is i+1 It is expressed as the voltage value measured at the i+1th time, U i Represented as the voltage value measured for the i-th time;

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

[0019] Mfd = maxf(t)-f|, 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 range, Mfd 预 Indicates the preset standard maximum frequency deviation value.

[0022] Preferably, the specific manner in which the power quality analysis and judgment module judges and analyzes the power quality evaluation index and the preset threshold value is:

[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 evaluation 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 It is expressed as the effective value of the current of phase a, I b It is 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 Represented as the a-phase load resistance, R b Represented as the b-phase load resistance, R c It is represented as the c-phase load resistance;

[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 power grid stability analysis and judgment module performs judgment and analysis on the power grid stability evaluation index and the preset threshold value is:

[0030] The grid stability assessment index is extracted and compared with the preset grid stability threshold. If the grid stability assessment 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 stable 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 metering, 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 power grid stability evaluation index transmitted by the power grid stability analysis and judgment module is:

[0036] Wherein, β represents the grid stability error correction coefficient, m represents the number of electric energy metering, where j = 1, 2, 3, ... m, PSI represents the grid stability evaluation index, PS represents 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 safety early warning index, PQI×α represents the power quality evaluation index after error correction, PSI×β represents the power grid stability evaluation index after error correction, and λ represents other influencing factors of the power safety early warning index.

[0040] Preferably, the specific manner in which the power safety warning module judges and analyzes the power safety warning index is:

[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 a 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 can realize real-time monitoring of the power system through the Internet of Things technology. By collecting and analyzing a large amount of real-time data, the system can promptly discover potential safety hazards and issue early warning signals in advance, effectively avoiding the occurrence of faults and improving the overall safety of the power system;

[0044] 2. The application of the Internet of Things technology in the present invention improves the operating efficiency and stability of the power system and reduces the operation and maintenance costs. At the same time, through intelligent analysis and decision support, it provides enterprises with a more accurate electricity management solution, which helps to reduce the electricity costs of enterprises 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 power grid stability evaluation indicators, and establishes an electric power safety early warning index model through the error-corrected power quality evaluation indicators and power 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 found. It also provides a visual interface and power safety control strategy for power system managers. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention is further described using the accompanying drawings, but 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 creative work.

[0047] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1As shown, the present invention provides a new type of 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 acquire power data parameters from the power system database module, wherein the power data parameters include power quality parameters and power 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; 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 to judge and analyze 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] Where Vfa is the voltage fluctuation amplitude, N is the number of samples measured for voltage, and U is i+1 It is expressed as the voltage value measured at the i+1th time, U i Represented as the voltage value measured for the i-th time;

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

[0059] Mfd = maxf(t)-f|, 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 range, Mfd 预 Expressed as a 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 evaluation 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 power grid stability analysis and judgment module is used to import the power grid stability parameters transmitted by the power data acquisition module into the power grid stability index model to obtain the power grid stability evaluation index, and to judge and analyze the power grid stability evaluation index and the 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 It is expressed as the effective value of the current of phase a, I b It is 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 Represented as the a-phase load resistance, R b Represented as the b-phase load resistance, R c It is represented as the c-phase load resistance;

[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 power grid stability analysis and judgment module performs judgment and analysis on the power grid stability evaluation index and the preset threshold value is:

[0071] The grid stability assessment index is extracted and compared with the preset grid stability threshold. If the grid stability assessment 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 stable 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 power 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 metering, 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 power grid stability evaluation index transmitted by the power grid stability analysis and judgment module is:

[0078] Wherein, β represents the grid stability error correction coefficient, m represents the number of electric energy metering, where j = 1, 2, 3, ... m, PSI represents the grid stability evaluation index, PS represents 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 early warning module establishes a power safety early warning model according to the error-corrected data of the power metering error correction module to obtain a power safety early warning index, and performs judgment and analysis on the power safety early 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 safety early warning index, PQI×α represents the power quality assessment index after error correction, PSI×β represents the power grid stability assessment index after error correction, and λ represents other influencing factors of the power safety early warning index.

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

[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 a 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 protection scope of the present invention.

[0087] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A new power system safety control system based on Internet of Things technology, characterized in that: 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; A power data acquisition module, used to acquire power data parameters from the power system database module, wherein the power data parameters include power quality parameters and power 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 the power quality evaluation index, and to judge and analyze the power quality evaluation index and the preset threshold value, and transmit the result to the power metering error correction module; The power grid stability analysis and judgment module is used to import the power grid stability parameters transmitted by the power data acquisition module into the power grid stability index model to obtain the power grid stability evaluation index, and to judge and analyze the power grid stability evaluation index and the 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 power grid stability analysis and judgment module, and transmit the error-corrected data to the power safety early warning module; The power safety early warning module establishes a power safety early warning model according to the error-corrected data of the power metering error correction module to obtain a power safety early warning index, and performs judgment and analysis on the power safety early 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. According to claim 1, a new type of power system safety control system based on Internet of Things technology 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. According to claim 1, a new type of power system safety control system based on Internet of Things technology 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: Where Vfa is the voltage fluctuation amplitude, N is the number of samples measured for voltage, and U i+1 It is expressed as the voltage value measured at the i+1th time, U i Represented as the voltage value measured for the i-th time; S2: Calculate the maximum frequency deviation. The calculation model is as follows: Mfd = maxf(t)-f|, 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 range, Mfd 预 Indicates the preset standard maximum frequency deviation value.

4. According to claim 1, a new type of power system safety control system based on Internet of Things technology 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 is: 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. According to claim 1, a new type of power system safety control system based on Internet of Things technology 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 It is expressed as the effective value of the current of phase a, I b It is 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 Represented as the a-phase load resistance, R b Represented as the b-phase load resistance, R c It is represented as the c-phase load resistance; 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. According to claim 1, a new type of power system safety control system based on Internet of Things technology 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 assessment index is extracted and compared with the preset grid stability threshold. If the grid stability assessment 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 stable 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. According to claim 1, a new type of power system safety control system based on Internet of Things technology is characterized by: 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: 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 metering, 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 power grid stability evaluation index transmitted by the power grid stability analysis and judgment module is: Wherein, β represents the grid stability error correction coefficient, m represents the number of electric energy metering, where j = 1, 2, 3, ... m, PSI represents the grid stability evaluation index, PS represents the predicted grid stability, Expressed as average grid stability; The grid stability evaluation index after error correction is: PSI×β.

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

9. According to claim 1, a new type of power system safety control system based on Internet of Things technology is characterized by: The specific method in which the power safety early warning module judges and analyzes the power safety early warning index is: 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 a 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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