Fault alarm management system based on novel power system

Abstract

The invention discloses a fault alarm management system based on a novel electric power system, and particularly relates to the field of electric power, which comprises a system operation database, a system central processing module, a user information end, a data acquisition time marking module, an electric power data acquisition module, an electric power data analysis module, an anomaly analysis module and a fault judgment module. According to the invention, various data of the power system can be comprehensively collected, advanced data analysis models and algorithms can be applied, the system operation state can be accurately evaluated, the accuracy and timeliness of fault judgment can be improved, in addition, an automatic alarm mechanism is beneficial for management personnel to quickly respond and process faults, and the fault diagnosis efficiency can be improved. The safety and the operation efficiency of the power system are remarkably improved, and a powerful guarantee is provided for stable operation of the novel power system.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and more specifically, to a fault alarm management system based on a new type of electric power system. Background Art

[0002] With the optimization of energy structure and continuous technological advancement, the power system is developing in a more intelligent and distributed direction. The new power system integrates renewable energy, energy storage systems, intelligent control technology and advanced data analysis algorithms to form a complex energy management network. These technological changes have put forward higher requirements on the stability, reliability and efficiency of the power system, especially in fault detection and alarm. More efficient, accurate and intelligent solutions are urgently needed.

[0003] At present, the fault alarm systems used in most power systems mainly follow the basic process of data collection, data analysis, fault judgment and alarm information transmission. Specifically, the system first collects the operating data of the power system through various sensors and detection equipment, and then uses the preset algorithm to process and analyze the collected data to identify possible faults or abnormal conditions. Once a fault is detected, the system will immediately generate an alarm message and transmit it to the management personnel or monitoring center through a specific communication channel so that timely measures can be taken to deal with it.

[0004] Although the existing fault alarm system has played a certain role in the power system, it still has many shortcomings in practical application. First, the comprehensiveness and accuracy of data collection are limited, and it is often impossible to capture the changes of all key parameters, resulting in missed reports or false reports. Secondly, the data analysis method is relatively simple, and it is difficult to deeply explore the potential laws and fault characteristics behind the data, which limits the system's diagnostic capabilities. Moreover, the fault judgment mechanism is relatively fixed, lacking flexibility and adaptability, and it is difficult to adapt to the dynamic changes in the operating status of the new power system. In summary, the existing technology has been unable to meet the new requirements of the new power system for the fault alarm system. Summary of the invention

[0005] In order to overcome the above defects of the prior art, an embodiment of the present invention provides a fault alarm management system based on a novel power system, which solves the problems raised in the above background technology through the following scheme.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: A fault alarm management system based on a new power system, comprising a system operation database, a system central processing module and a user information terminal, and also comprising a data acquisition time stamp module, a power data acquisition module, a power data analysis module, an abnormality analysis module and a fault judgment module;

[0007] The system operation database includes all data texts of the fault alarm management system and collects the information texts output by each module in real time. The system central processing module is used to centrally control the information text instructions output by each module. The user information terminal is an information output device for receiving the fault alarm management system;

[0008] The data collection time marking module is used to determine the power data collection time area of ​​the target new power system and mark it in sequence;

[0009] The power data acquisition module is used to collect power data of the target new power system and transmit it to the power data analysis module;

[0010] The power data analysis module is used to analyze the data transmitted by the power data acquisition module and transmit the analysis results to the abnormality analysis module;

[0011] The abnormality analysis module is used to perform a comprehensive analysis on the data transmitted by the power data analysis module and transmit the analysis results to the fault judgment module;

[0012] The fault judgment module is used to set a fault threshold and judge the target new power system through the fault threshold and the fault judgment value.

[0013] Preferably, the data collection time marking module is used to determine the power data collection time of the target new power system as the target time area, divide the target time area into various sub-time areas by equal time division, and mark them as 1, 2...n in sequence.

[0014] Preferably, the power data acquisition module is used to collect power equipment operating status data, environmental and external influencing factor data, power transmission performance data and power system safety data in each sub-time zone.

[0015] Preferably, the power equipment operating status data include transformer winding vibration displacement, circuit breaker operation time accuracy, cable sheath insulation friction noise and reactor core temperature gradient, which are marked as Tw, Tc, Ts and Tr respectively; the environment and external influencing factor data include surface humidity of lightning arrester, wind speed difference at substation inlet and outlet, surface thermal radiation intensity of transmission line and power tower foundation settlement velocity, which are marked as Sh, Sw, Sg and Sr respectively; the power transmission performance data include high-voltage cable terminal capacitive current, transmission line connection point microcurrent, transmission line vibration caused microstrain and overhead transmission line low-frequency vibration amplitude, which are marked as Ch, Cm, Ct and Cl respectively; the power system safety data include bridge arm voltage imbalance, cable end breakdown strength, ground grid node potential difference and thyristor turn-on transient response, which are marked as Vd, Vb, Vp and Vt respectively.

[0016] Preferably, the power data acquisition module preprocesses the collected data, specifically including data cleaning, data integration and data transformation.

[0017] Preferably, the power data acquisition module directly measures the tiny vibration displacement of the transformer winding during operation through a high-precision displacement sensor to collect the vibration displacement of the transformer winding, which is used to monitor whether the winding is loose or abnormal, and collects the circuit breaker operation time accuracy to milliseconds by recording the specific time required for each closing or opening of the circuit breaker to reflect the changes in the mechanical properties of the circuit breaker. An acoustic sensor is used to collect the specific frequency noise emitted by the cable sheath insulation layer during the wear process to collect the insulation friction noise of the cable sheath, specifically in the frequency range of 1kHz to 5kHz, which is used to diagnose the insulation condition, and a plurality of precision temperature sensors are used to measure the temperature of different positions of the reactor core and calculate the temperature gradient to collect the reactor core temperature gradient, which is used to evaluate the internal heat distribution state.

[0018] Preferably, the power data acquisition module directly measures the humidity value on the surface of the lightning conductor through a humidity sensor to collect the surface humidity of the lightning conductor, which is used to monitor the impact of environmental humidity on the performance of the lightning conductor; measures the wind speed at the inlet and outlet of the substation respectively through a wind speed sensor, and calculates the difference to collect the wind speed difference between the inlet and outlet of the substation, which is used to analyze ventilation conditions and environmental impacts; collects the surface thermal radiation intensity of the transmission line by using an infrared radiometer to record the thermal radiation intensity of the surface below the transmission line in real time, which is used to analyze the impact of ambient temperature on the heat dissipation of the line; monitors the settlement velocity of the power tower foundation through a high-precision settlement sensor to collect the settlement velocity of the power tower foundation, which is used to evaluate the stability and health of the foundation structure.

[0019] Preferably, the power data acquisition module records the capacitance current value of the high-voltage cable end connector through a capacitance current monitoring sensor and collects the capacitance current of the high-voltage cable end connector for diagnosing the insulation state of the connector, measures the tiny current changes at each connection point of the transmission line through a micro-current sensor and collects the micro-current at the connection point of the transmission line for analyzing the contact resistance state of the connection point, records the tiny strains generated by the transmission line under wind speed changes or load fluctuations through a high-precision strain sensor and collects the micro-strain caused by the vibration of the transmission line for evaluating mechanical fatigue, and records the vibration amplitude of the overhead transmission line under wind speed or load changes through a low-frequency vibration sensor and collects the low-frequency vibration amplitude of the overhead transmission line for analyzing mechanical stability.

[0020] Preferably, the power data acquisition module measures the voltage difference between the two ends of the bridge arm of the power system through a precision voltage sensor, calculates the voltage imbalance for diagnosing system faults, measures the breakdown strength of the cable end under high voltage through a dedicated breakdown test device to collect the breakdown strength of the cable end, evaluates the safety of the insulation end, measures the potential difference of each node of the grounding grid through multiple potential sensors to collect the potential difference of the grounding grid nodes, which is used to analyze the integrity and effectiveness of the grounding system, and records the voltage transient response at the moment of thyristor turning on through a high-speed data acquisition device to collect the thyristor turning on transient response for monitoring the performance of the power conversion equipment.

[0021] Preferably, the power data analysis module includes a power equipment operating status data analysis unit, an environment and external influencing factor data analysis unit, a power transmission performance data analysis unit and a power system safety data analysis unit.

[0022] Preferably, the power equipment operation status data analysis unit is used to establish a power equipment operation status data analysis model, import the power equipment operation status data transmitted by the power data acquisition module into the power equipment operation status data analysis model, and calculate the power equipment operation status evaluation value of each sub-time zone, which is specifically expressed as:

[0023]

[0024] ET i represents the evaluation value of the power equipment operation status in the i-th time zone, Tw i represents the transformer winding vibration displacement in the ith time zone, Tc i Indicates the circuit breaker operation time accuracy of the i-th time zone, Ts i represents the insulation friction noise of the cable sheath in the i-th time zone, Tr i represents the reactor core temperature gradient in the i-th time zone, and n represents the number of sub-time zones.

[0025] Preferably, the environment and external influencing factor data analysis unit is used to establish an environment and external influencing factor data analysis model, import the environment and external influencing factor data transmitted by the power data acquisition module into the environment and external influencing factor data analysis model, and calculate the power environment risk assessment value of each sub-time zone, which is specifically expressed as:

[0026]

[0027] ES i Sh represents the power environment risk assessment value of the i-th time zone, i represents the surface humidity of the lightning conductor in the i-th time zone, Sw i Sg represents the wind speed difference between the inlet and outlet of the substation in the i-th time zone.i represents the surface thermal radiation intensity of the transmission line in the i-th time zone, Sr i represents the settlement velocity of the power tower foundation in the i-th time zone, Sh min It represents the minimum surface humidity of the lightning conductor in the target time zone, Δt represents the time of a single time zone, and n represents the number of sub-time zones.

[0028] Preferably, the power transmission performance data analysis unit is used to establish a power transmission performance data analysis model, import the power transmission performance data transmitted by the power data acquisition module into the power transmission performance data analysis model, and calculate the power transmission performance evaluation value of each sub-time zone, which is specifically expressed as:

[0029]

[0030] EC i represents the power transmission performance evaluation value of the i-th time zone, Ch i Represents the capacitive current of the high-voltage cable terminal in the ith time zone, Cm i represents the microcurrent at the connection point of the transmission line in the i-th time zone, Ct i represents the microstrain caused by the transmission line vibration in the i-th time zone, Cl i represents the low-frequency vibration amplitude of the overhead transmission line in the ith time zone, Ct max It represents the maximum micro strain caused by transmission line vibration in the target time zone, and n represents the number of sub-time zones.

[0031] Preferably, the power system security data analysis unit is used to establish a power system security data analysis model, import the power system security data transmitted by the power data acquisition module into the power system security data analysis model, and calculate the power system security assessment value of each sub-time zone, which is specifically expressed as:

[0032]

[0033] EV i represents the power system security assessment value of the ith time zone, Vd i Indicates the voltage imbalance of the bridge arm in the i-th time zone, Vb i Denotes the cable end breakdown strength in the ith time zone, Vp i represents the grounding grid node potential difference in the i-th time zone, Vt i represents the thyristor turn-on transient response in the i-th time zone, and n represents the number of sub-time zones.

[0034] Preferably, the specific analysis steps of the abnormality analysis module are:

[0035] Step 1: Data standardization: ET i ,ES i ,EC i EV i After standardization, the standardized data is ET i ′, ES i ′,EC i ' and EV i ′, the standardized formula is:

[0036]

[0037] Z represents the standardized value, min(x i ) represents the minimum value of the target time zone, max(x i ) represents the maximum value of the target time zone;

[0038] Step 2: Calculate the weighted arithmetic mean:

[0039] W=w 1 ×ET i ′+w 2 ×ES i ′+w 3 ×EC i ′+w 4 ×EV i ′,

[0040] W represents the weighted arithmetic mean result, W 1 , W 2 , W 3 and W 4 Indicates ET i ,ES i ,EC i EV i The weight of W 1 +W 2 +W 3 +W 4 =1;

[0041] Step 3: Apply fuzzy logic: Define a fuzzy membership function using the triangular membership function:

[0042]

[0043] a, b, and c are the parameters of the membership function, which define the shape of the fuzzy set, where a is the starting point of the triangle, b is the vertex of the triangle, indicating the highest risk point, and c is the end point of the triangle;

[0044] Step 4: Calculate the fuzzified failure risk level:

[0045] Apply the defined fuzzy membership function to map the weighted arithmetic mean result W to the degree of fault risk:

[0046] R=μ(W),

[0047] R represents the degree of failure risk, ranging from 0 to 1;

[0048] Step 5: Defuzzification: Defuzzify the fuzzified result using the centroid method:

[0049]

[0050] P represents the fault judgment value of the target new power system.

[0051] Preferably, the W 1 , W 2 , W 3 and W 4 Obtained through fitting of experimental data.

[0052] Preferably, the fault threshold is marked as T. When T>P, it indicates that the target new power system is in a normal state. When P≦T, it indicates that a fault occurs in the target new power system, and an alarm signal is sent to the management personnel terminal.

[0053] Technical effects and advantages of the present invention:

[0054] The system operation database of the present invention serves as the core data storage center of the entire fault alarm management system, and can collect and store the information text output by each module in real time, which not only ensures the integrity and consistency of the data, but also provides a solid data foundation for subsequent data analysis and fault judgment; the system central processing module is responsible for the information text instructions output by each central control module to ensure the orderly operation of the entire system. Through efficient instruction processing and scheduling, the response speed and operation efficiency of the system are improved, and the overall stability and reliability of the system are enhanced; the user information terminal serves as an information output device for receiving the fault alarm management system. The user information terminal can provide system alarm information and operation status to management personnel in a timely manner, realize the rapid transmission and sharing of information, and help management personnel to take countermeasures in time to reduce the impact of faults on the power system; the data acquisition time marking module divides the target time area into each sub-time area by equal time division, and marks them in turn, providing a time reference for subsequent power data acquisition and analysis. This time marking method helps to accurately capture the changes in the operation status of the power system and improve the accuracy and reliability of data analysis; the power data acquisition module can comprehensively collect various types of data of the target new power system, including power equipment The operating status data, environmental and external influencing factor data, power transmission performance data and power system security data cover all aspects of the power system, providing a comprehensive and rich data source for subsequent data analysis and fault judgment. At the same time, the module also ensures the accuracy and reliability of the data through high-precision sensors and data preprocessing technology. The power data analysis module uses advanced data analysis models to conduct in-depth analysis of the collected power data and extract useful information, which can intuitively reflect the operating status and potential problems of the power system and provide strong support for subsequent fault judgment. The abnormal analysis module uses fuzzy logic and other advanced algorithms to calculate the fault risk degree of the target new power system through comprehensive analysis of the data transmitted by the power data analysis module, and can more accurately identify the abnormal situation of the power system, thereby improving the accuracy and timeliness of fault judgment. The fault judgment module sets the fault threshold and compares it with the fault judgment value to realize the state judgment of the target new power system. When the system fails, it can send an alarm signal to the management terminal in time to ensure that the management can take countermeasures quickly. This automated fault judgment mechanism greatly improves the safety and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0056] Figure 2 It is a schematic diagram of the structure of the power data analysis module of the present invention. DETAILED DESCRIPTION

[0057] 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.

[0058] refer to Figure 1 The fault alarm management system based on the new power system shown includes a system operation database, a system central processing module and a user information terminal, and also includes a data acquisition time marking module, a power data acquisition module, a power data analysis module, an abnormality analysis module and a fault judgment module.

[0059] The system operation database includes all data texts of the fault alarm management system and collects the information text output by each module in real time. The system central processing module is used to control the information text instructions output by each module. The user information terminal is an information output device for receiving the fault alarm management system.

[0060] The data collection time marking module is used to determine the power data collection time area of ​​the target new power system and mark it in sequence.

[0061] The data collection time marking module is used to determine the power data collection time of the target new power system as the target time area, divide the target time area into various sub-time areas by equal time division, and mark them as 1, 2...n in sequence.

[0062] What needs to be specifically explained in this embodiment is that the power data in the first sub-time zone represents the initial state of the target new power system and does not participate in the actual analysis. In addition, different data sources have time deviations or inconsistent sampling frequencies. The data acquisition time stamp module is also responsible for data synchronization and alignment. By adjusting timestamps or interpolation processing, it ensures that data from different data sources can be compared and analyzed in the same time frame.

[0063] The power data acquisition module is used to collect power data of the target new power system and transmit it to the power data analysis module.

[0064] The power data acquisition module is used to collect power equipment operating status data, environmental and external influencing factor data, power transmission performance data and power system safety data in each sub-time zone.

[0065] The power equipment operation status data include transformer winding vibration displacement, circuit breaker operation time accuracy, cable sheath insulation friction noise and reactor core temperature gradient, which are marked as Tw, Tc, Ts and Tr respectively. The environment and external influencing factors data include surface humidity of lightning arrester, wind speed difference at substation inlet and outlet, surface thermal radiation intensity of transmission line and settlement velocity of power tower foundation, which are marked as Sh, Sw, Sg and Sr respectively. The power transmission performance data include high-voltage cable terminal capacitive current, transmission line connection point microcurrent, transmission line vibration caused microstrain and overhead transmission line low-frequency vibration amplitude, which are marked as Ch, Cm, Ct and Cl respectively. The power system safety data include bridge arm voltage imbalance, cable end breakdown strength, grounding grid node potential difference and thyristor turn-on transient response, which are marked as Vd, Vb, Vp and Vt respectively.

[0066] The power data acquisition module preprocesses the collected data, specifically including data cleaning, data integration and data transformation.

[0067] The power data acquisition module directly measures the tiny vibration displacement of the transformer winding during operation through a high-precision displacement sensor to collect the vibration displacement of the transformer winding, which is used to monitor whether the winding is loose or abnormal. The circuit breaker operation time accuracy is collected by recording the specific time required for each closing or opening of the circuit breaker, which is accurate to milliseconds and is used to reflect the changes in the mechanical properties of the circuit breaker. The acoustic sensor is used to collect the specific frequency noise emitted by the cable sheath insulation layer during the wear process. The insulation friction noise of the cable sheath is collected, specifically in the frequency range of 1kHz to 5kHz, which is used to diagnose the insulation condition. The temperature of different positions of the reactor core is measured by using multiple precision temperature sensors and the temperature gradient is calculated to collect the reactor core temperature gradient, which is used to evaluate the internal heat distribution state.

[0068] The power data acquisition module directly measures the humidity value on the surface of the lightning conductor through a humidity sensor to collect the surface humidity of the lightning conductor, which is used to monitor the impact of environmental humidity on the performance of the lightning conductor. The wind speed at the inlet and outlet of the substation is measured by a wind speed sensor, and the difference is calculated to collect the difference in wind speed at the inlet and outlet of the substation, which is used to analyze ventilation conditions and environmental impacts. The thermal radiation intensity of the ground surface under the transmission line is recorded in real time by using an infrared radiometer to collect the surface thermal radiation intensity of the transmission line, which is used to analyze the impact of ambient temperature on the heat dissipation of the line. The settlement velocity of the power tower foundation is monitored by a high-precision settlement sensor to collect the settlement velocity of the power tower foundation, which is used to evaluate the stability and health of the foundation structure.

[0069] The power data acquisition module records the capacitance current value of the high-voltage cable end connector through a capacitance current monitoring sensor and collects the capacitance current of the high-voltage cable end connector for diagnosing the insulation status of the connector, measures the tiny current changes at each connection point of the transmission line through a micro-current sensor and collects the micro-current at the connection point of the transmission line for analyzing the contact resistance status of the connection point, records the tiny strains generated by the transmission line under wind speed changes or load fluctuations through a high-precision strain sensor and collects the micro-strain caused by the vibration of the transmission line for evaluating mechanical fatigue, and records the vibration amplitude of the overhead transmission line under wind speed or load changes through a low-frequency vibration sensor and collects the low-frequency vibration amplitude of the overhead transmission line for analyzing mechanical stability.

[0070] The power data acquisition module measures the voltage difference at both ends of the power system bridge arm through a precision voltage sensor, calculates the voltage imbalance, and is used to diagnose system faults. The breakdown strength of the cable end is measured under high voltage through a special breakdown test device to collect the breakdown strength of the cable end. By evaluating the safety of the insulation end, the potential difference of each node of the grounding grid is measured through multiple potential sensors to collect the potential difference of the grounding grid nodes, which is used to analyze the integrity and effectiveness of the grounding system. The voltage transient response at the moment of thyristor opening is recorded through a high-speed data acquisition device to collect the thyristor opening transient response, which is used to monitor the performance of the converter equipment.

[0071] The power data analysis module is used to analyze the data transmitted by the power data acquisition module and transmit the analysis results to the abnormality analysis module.

[0072] refer to Figure 2 The power data analysis module includes a power equipment operation status data analysis unit, an environment and external influencing factor data analysis unit, a power transmission performance data analysis unit and a power system safety data analysis unit.

[0073] The power equipment operation status data analysis unit is used to establish a power equipment operation status data analysis model, import the power equipment operation status data transmitted by the power data acquisition module into the power equipment operation status data analysis model, and calculate the power equipment operation status evaluation value of each sub-time zone, which is specifically expressed as:

[0074]

[0075] ET i represents the evaluation value of the power equipment operation status in the i-th time zone, Tw i represents the transformer winding vibration displacement in the ith time zone, Tc i Indicates the circuit breaker operation time accuracy of the i-th time zone, Ts i represents the insulation friction noise of the cable sheath in the i-th time zone, Tr irepresents the reactor core temperature gradient in the i-th time zone, and n represents the number of sub-time zones.

[0076] The environment and external influencing factor data analysis unit is used to establish an environment and external influencing factor data analysis model, import the environment and external influencing factor data transmitted by the power data acquisition module into the environment and external influencing factor data analysis model, and calculate the power environment risk assessment value of each sub-time zone, which is specifically expressed as:

[0077]

[0078] ES i Sh represents the power environment risk assessment value of the i-th time zone, i represents the surface humidity of the lightning conductor in the i-th time zone, Sw i Sg represents the wind speed difference between the inlet and outlet of the substation in the i-th time zone. i represents the surface thermal radiation intensity of the transmission line in the i-th time zone, Sr i represents the settlement velocity of the power tower foundation in the i-th time zone, Sh min It represents the minimum surface humidity of the lightning conductor in the target time zone, Δt represents the time of a single time zone, and n represents the number of sub-time zones.

[0079] The power transmission performance data analysis unit is used to establish a power transmission performance data analysis model, import the power transmission performance data transmitted by the power data acquisition module into the power transmission performance data analysis model, and calculate the power transmission performance evaluation value of each sub-time zone, which is specifically expressed as:

[0080]

[0081] EC i represents the power transmission performance evaluation value of the i-th time zone, Ch i Represents the capacitive current of the high-voltage cable terminal in the ith time zone, Cm i represents the microcurrent at the connection point of the transmission line in the i-th time zone, Ct i represents the microstrain caused by the transmission line vibration in the i-th time zone, Cl i represents the low-frequency vibration amplitude of the overhead transmission line in the ith time zone, Ct max It represents the maximum micro strain caused by transmission line vibration in the target time zone, and n represents the number of sub-time zones.

[0082] The power system security data analysis unit is used to establish a power system security data analysis model, import the power system security data transmitted by the power data acquisition module into the power system security data analysis model, and calculate the power system security assessment value of each sub-time zone, which is specifically expressed as:

[0083]

[0084] EV i represents the power system security assessment value of the ith time zone, Vd i Indicates the voltage imbalance of the bridge arm in the i-th time zone, Vb i Denotes the cable end breakdown strength in the ith time zone, Vp i represents the grounding grid node potential difference in the i-th time zone, Vt i represents the thyristor turn-on transient response in the i-th time zone, and n represents the number of sub-time zones.

[0085] The abnormality analysis module is used to perform a comprehensive analysis on the data transmitted by the power data analysis module, and transmit the analysis results to the fault judgment module.

[0086] The specific analysis steps of the abnormal analysis module are:

[0087] Step 1: Data standardization: ET i ,ES i ,EC i EV i After standardization, the standardized data is ET i ′, ES i ′,EC i ' and EV i ′, the standardized formula is:

[0088]

[0089] Z represents the standardized value, min(x i ) represents the minimum value of the target time zone, max(x i ) represents the maximum value of the target time zone;

[0090] Step 2: Calculate the weighted arithmetic mean:

[0091] W=w 1 ×ET i ′+w 2 ×ES i ′+w 3 ×EC i ′+w 4 ×EV i ′,

[0092] W represents the weighted arithmetic mean result, W 1 , W 2 , W 3 and W 4 Indicates ETi ,ES i ,EC i EV i The weight of W 1 +W 2 +W 3 +W 4 =1;

[0093] Step 3: Apply fuzzy logic: Define a fuzzy membership function using the triangular membership function:

[0094]

[0095] a, b, and c are the parameters of the membership function, which define the shape of the fuzzy set, where a is the starting point of the triangle, b is the vertex of the triangle, indicating the highest risk point, and c is the end point of the triangle;

[0096] Step 4: Calculate the fuzzified failure risk level:

[0097] Apply the defined fuzzy membership function to map the weighted arithmetic mean result W to the degree of fault risk:

[0098] R=μ(W),

[0099] R represents the degree of failure risk, ranging from 0 to 1;

[0100] Step 5: Defuzzification: Defuzzify the fuzzified result using the centroid method:

[0101]

[0102] P represents the fault judgment value of the target new power system.

[0103] What needs to be specifically explained in this embodiment is that W 1 , W 2 , W 3 and W 4 Obtained through fitting of experimental data.

[0104] The fault judgment module is used to set a fault threshold and judge the target new power system through the fault threshold and the fault judgment value.

[0105] The fault threshold is marked as T. When T>P, it indicates that the target new power system is in a normal state. When P≦T, it indicates that a fault occurs in the target new power system, and an alarm signal is sent to the management terminal.

[0106] The system operation database of the present invention serves as the core data storage center of the entire fault alarm management system, and can collect and store the information text output by each module in real time, which not only ensures the integrity and consistency of the data, but also provides a solid data foundation for subsequent data analysis and fault judgment; the system central processing module is responsible for the information text instructions output by each central control module to ensure the orderly operation of the entire system. Through efficient instruction processing and scheduling, the response speed and operation efficiency of the system are improved, and the overall stability and reliability of the system are enhanced; the user information terminal serves as an information output device for receiving the fault alarm management system. The user information terminal can provide system alarm information and operation status to management personnel in a timely manner, realize the rapid transmission and sharing of information, and help management personnel to take countermeasures in time to reduce the impact of faults on the power system; the data acquisition time marking module divides the target time area into each sub-time area by equal time division, and marks them in turn, providing a time reference for subsequent power data acquisition and analysis. This time marking method helps to accurately capture the changes in the operation status of the power system and improve the accuracy and reliability of data analysis; the power data acquisition module can comprehensively collect various types of data of the target new power system, including power equipment The operating status data, environmental and external influencing factor data, power transmission performance data and power system security data cover all aspects of the power system, providing a comprehensive and rich data source for subsequent data analysis and fault judgment. At the same time, the module also ensures the accuracy and reliability of the data through high-precision sensors and data preprocessing technology. The power data analysis module uses advanced data analysis models to conduct in-depth analysis of the collected power data and extract useful information, which can intuitively reflect the operating status and potential problems of the power system and provide strong support for subsequent fault judgment. The abnormal analysis module uses fuzzy logic and other advanced algorithms to calculate the fault risk degree of the target new power system through comprehensive analysis of the data transmitted by the power data analysis module, and can more accurately identify the abnormal situation of the power system, thereby improving the accuracy and timeliness of fault judgment. The fault judgment module sets the fault threshold and compares it with the fault judgment value to realize the state judgment of the target new power system. When the system fails, it can send an alarm signal to the management terminal in time to ensure that the management can take countermeasures quickly. This automated fault judgment mechanism greatly improves the safety and reliability of the system.

[0107] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0108] 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.

Claims

1. A fault alarm management system based on a new power system, including a system operation database, a system central processing module and a user information terminal, characterized in that: It also includes a data acquisition time stamp module, a power data acquisition module, a power data analysis module, an abnormality analysis module and a fault judgment module; The system operation database includes all data texts of the fault alarm management system and collects the information texts output by each module in real time. The system central processing module is used to centrally control the information text instructions output by each module. The user information terminal is an information output device for receiving the fault alarm management system; The data collection time marking module is used to determine the power data collection time area of ​​the target new power system and mark it in sequence; The power data acquisition module is used to collect power data of the target new power system and transmit it to the power data analysis module; The power data analysis module is used to analyze the data transmitted by the power data acquisition module and transmit the analysis results to the abnormality analysis module; The abnormality analysis module is used to perform a comprehensive analysis on the data transmitted by the power data analysis module and transmit the analysis results to the fault judgment module; The fault judgment module is used to set a fault threshold and judge the target new power system through the fault threshold and the fault judgment value.

2. A fault alarm management system based on a new type of power system according to claim 1, characterized in that: The data collection time marking module is used to determine the power data collection time of the target new power system as the target time zone, divide the target time zone into various sub-time zones by equal time division, and mark them as 1, 2...n in sequence; The power data acquisition module is used to collect power equipment operating status data, environmental and external influencing factor data, power transmission performance data and power system security data in each sub-time zone; The power data analysis module includes a power equipment operation status data analysis unit, an environment and external influencing factor data analysis unit, a power transmission performance data analysis unit and a power system safety data analysis unit.

3. A fault alarm management system based on a new power system according to claim 2, characterized in that: The power equipment operation status data include transformer winding vibration displacement, circuit breaker operation time accuracy, cable sheath insulation friction noise and reactor core temperature gradient, which are marked as Tw, Tc, Ts and Tr respectively. The environment and external influencing factors data include surface humidity of lightning arrester, wind speed difference at substation inlet and outlet, surface thermal radiation intensity of transmission line and settlement velocity of power tower foundation, which are marked as Sh, Sw, Sg and Sr respectively. The power transmission performance data include high-voltage cable terminal capacitive current, transmission line connection point microcurrent, transmission line vibration-induced microstrain and overhead transmission line low-frequency vibration amplitude, which are marked as Ch, Cm, Ct and Cl respectively. The power system safety data include bridge arm voltage imbalance, cable end breakdown strength, grounding grid node potential difference and thyristor turn-on transient response, which are marked as Vd, Vb, Vp and Vt respectively.

4. A fault alarm management system based on a new power system according to claim 2, characterized in that: The power equipment operation status data analysis unit is used to establish a power equipment operation status data analysis model, import the power equipment operation status data transmitted by the power data acquisition module into the power equipment operation status data analysis model, and calculate the power equipment operation status evaluation value of each sub-time zone, which is specifically expressed as: ET i represents the evaluation value of the power equipment operation status in the i-th time zone, Tw i represents the transformer winding vibration displacement in the ith time zone, Tc i Indicates the circuit breaker operation time accuracy of the i-th time zone, Ts i represents the insulation friction noise of the cable sheath in the i-th time zone, Tr i represents the reactor core temperature gradient in the i-th time zone, and n represents the number of sub-time zones.

5. A fault alarm management system based on a new power system according to claim 2, characterized in that: The environment and external influencing factor data analysis unit is used to establish an environment and external influencing factor data analysis model, import the environment and external influencing factor data transmitted by the power data acquisition module into the environment and external influencing factor data analysis model, and calculate the power environment risk assessment value of each sub-time zone, which is specifically expressed as: ES i Sh represents the power environment risk assessment value of the i-th time zone, i represents the surface humidity of the lightning conductor in the i-th time zone, Sw i Sg represents the wind speed difference between the inlet and outlet of the substation in the i-th time zone. i represents the surface thermal radiation intensity of the transmission line in the i-th time zone, Sr i represents the settlement velocity of the power tower foundation in the i-th time zone, Sh min It represents the minimum surface humidity of the lightning conductor in the target time zone, Δt represents the time of a single time zone, and n represents the number of sub-time zones.

6. A fault alarm management system based on a new type of power system according to claim 2, characterized in that: The power transmission performance data analysis unit is used to establish a power transmission performance data analysis model, import the power transmission performance data transmitted by the power data acquisition module into the power transmission performance data analysis model, and calculate the power transmission performance evaluation value of each sub-time zone, which is specifically expressed as: EC i represents the power transmission performance evaluation value of the i-th time zone, Ch i Represents the capacitive current of the high-voltage cable terminal in the ith time zone, Cm i represents the microcurrent at the connection point of the transmission line in the i-th time zone, Ct i represents the microstrain caused by the transmission line vibration in the i-th time zone, Cl i represents the low-frequency vibration amplitude of the overhead transmission line in the ith time zone, Ct max It represents the maximum micro strain caused by transmission line vibration in the target time zone, and n represents the number of sub-time zones.

7. A fault alarm management system based on a new type of power system according to claim 2, characterized in that: The power system security data analysis unit is used to establish a power system security data analysis model, import the power system security data transmitted by the power data acquisition module into the power system security data analysis model, and calculate the power system security assessment value of each sub-time zone, which is specifically expressed as: EV i represents the power system security assessment value of the ith time zone, Vd i Indicates the voltage imbalance of the bridge arm in the i-th time zone, Vb i Denotes the cable end breakdown strength in the ith time zone, Vp i represents the grounding grid node potential difference in the i-th time zone, Vt i represents the thyristor turn-on transient response in the i-th time zone, and n represents the number of sub-time zones.

8. A fault alarm management system based on a new type of power system according to claim 1, characterized in that: The specific analysis steps of the abnormal analysis module are: Step 1: Data standardization: ET i ,ES i ,EC i EV i After standardization, the standardized data is ET i ′, ES i ′,EC i ' and EV i ′, the standardized formula is: Z represents the standardized value, min(x i ) represents the minimum value of the target time zone, max(x i ) represents the maximum value of the target time zone; Step 2: Calculate the weighted arithmetic mean: W=w1×ET i ′+w2×ES i ′+w3×EC i ′+w4×EV i ′, W represents the weighted arithmetic mean result, W1, W2, W3 and W4 represent ET i ,ES i ,EC i EV i The weights of , and W1+W2+W3+W4=1; Step 3: Apply fuzzy logic: Define a fuzzy membership function using the triangular membership function: a, b, and c are the parameters of the membership function, which define the shape of the fuzzy set, where a is the starting point of the triangle, b is the vertex of the triangle, indicating the highest risk point, and c is the end point of the triangle; Step 4: Calculate the fuzzified failure risk level: Apply the defined fuzzy membership function to map the weighted arithmetic mean result W to the degree of fault risk: R=μ(W), R represents the degree of failure risk, ranging from 0 to 1; Step 5: Defuzzification: Defuzzify the fuzzified result using the centroid method: P represents the fault judgment value of the target new power system.

9. A fault alarm management system based on a new type of power system according to claim 1, characterized in that: The fault threshold is marked as T. When T>P, it indicates that the target new power system is in a normal state. When P≦T, it indicates that a fault occurs in the target new power system, and an alarm signal is sent to the management terminal.

Images