Multi-stage protection technology of intelligent integrated power supply system

Abstract

The invention discloses a multistage protection technology for an intelligent integrated power supply system, and the technology comprises the steps: monitoring the operation state of the power supply system in real time through various types of configured sensors, and transmitting the monitoring data to a data collection module in a wireless manner for data storage; constructing an internal state analysis model, inputting monitoring data, outputting an internal state analysis value, performing threshold comparison, judging whether the operation state of the power supply system is abnormal or not, and controlling the protection module to be started when the operation state is abnormal; according to the invention, a self-adaptive protection strategy is adopted, the abnormal state of the power supply system can be monitored according to the operation state and environmental factors of the power supply system, various protection measures including short-circuit protection, overload protection, under-voltage protection, overvoltage protection, leakage protection, lightning protection and the like are adopted, comprehensive protection of the power supply system is realized, and the power supply system is protected. The problems that an existing power system protection technology is insufficient in data analysis degree, and protection measure starting conditions are not accurate enough are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply system protection, and in particular to a multi-level protection technology for an intelligent integrated power supply system. Background Art

[0002] Intelligent integrated power supply systems have been widely used in industries, commerce, and households. Due to the complexity of power supply systems and their susceptibility to external environmental factors, the safety and reliability of power supply systems have become the focus of research and development.

[0003] However, existing power system protection technologies often have problems such as insufficient data analysis and inaccurate conditions for triggering protection measures, making it difficult to meet the high safety requirements of modern power systems. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above problems existing in the existing power system protection technology, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is to solve the problem that the data analysis degree of the existing power supply system protection technology is insufficient and the conditions for starting the protection measures are not accurate enough.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a multi-level protection technology for an intelligent integrated power supply system, comprising the following components: a sensor network, which monitors the operating status of the power supply system in real time through various types of configured sensors, and wirelessly transmits the monitoring data to a data acquisition module; a data acquisition module, which is wirelessly connected to the sensor network, and stores the data after receiving the monitoring data; a data analysis module, which is wirelessly connected to the data acquisition module, obtains the stored monitoring data, synchronously constructs an internal state analysis model, inputs the monitoring data, and outputs an internal state analysis value; a control module, which is wirelessly connected to the data analysis module, performs a threshold comparison after obtaining the internal state analysis value, determines whether the operating status of the power supply system is abnormal, and controls the protection module to turn on when it is abnormal; a protection module, which is wirelessly connected to the control module, and is controlled to turn on by the control module when the operating status of the power supply system is abnormal.

[0008] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, the sensor network monitors the operating status of the power supply system in real time, specifically including: obtaining the current change curve within the rated time in real time through a current sensor configured at the current output end of the power supply system; obtaining the temperature data of each point of the current power supply system in real time through a group of temperature sensors configured at various points of the power supply system; obtaining the humidity data of each point of the current power supply system in real time through a group of humidity sensors configured at various points of the power supply system.

[0009] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, wherein: the data analysis module constructs the internal state analysis model specifically including the following steps: S1: within the rated time, a constant number of power-consuming devices are stably turned on, and the power supply system continues to supply power; S2: obtaining the current change curve, and synchronously selecting points with consistent time intervals within the rated time as reference points; S3: obtaining representative characteristic values ​​in the current change curve, and the representative characteristic values ​​specifically include: maximum current value, minimum current value, average current value and current value of each reference point; S4: constructing the internal state analysis model.

[0010] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, the internal state analysis model constructed is specifically:

[0011]

[0012] Wherein, δ is the internal state analysis value; I1 is the current value of the first reference point, A; I n is the current value of the nth reference point, A; n is the number of reference points; I min is the minimum current value, A; I max is the maximum current value, A; I 均 is the average current value, A; 1.302 and 1.64 are adjustment constants; dx is the integral operation.

[0013] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, wherein: the threshold is defined as 3.513; and when the internal state analysis value of the power supply system is higher than the threshold, the current power supply system is determined to be abnormal.

[0014] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, the data analysis module also includes constructing an external state analysis model, inputting monitoring data, outputting an external state analysis value, constructing a comprehensive analysis model based on the external state analysis value and the internal state analysis value, obtaining a comprehensive analysis value, and when the comprehensive analysis value is higher than a comprehensive threshold, determining that the current power supply system is abnormal.

[0015] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, the external state analysis model constructed is specifically:

[0016]

[0017] Wherein, ε is the external state analysis value; t is the temperature data of each point, ℃; q is the number of temperature detection points, pcs; t1 is the temperature data of the first temperature detection point, ℃; t q is the temperature data of the qth temperature detection point, °C; t min is the minimum value of the temperature data at each temperature detection point, ℃; t max is the maximum value of the temperature data of each temperature detection point, ℃; s is the humidity data of each point, %; m is the number of temperature detection points, pieces; s1 is the humidity data of the first humidity detection point, %; s m is the humidity data of the mth humidity detection point, %; s min It is the minimum value of humidity data at each humidity detection point, %; s max is the maximum value of the humidity data at each humidity detection point, %; 1.32 and 1.07 are adjustment constants; dx is the integral operation.

[0018] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, the comprehensive analysis model constructed is specifically:

[0019] u=|[δ (ε-1) ] 2.60 |

[0020] Among them, μ is the state analysis value; δ is the internal state analysis value; ε is the external state analysis value; 1 and 2.60 are adjustment constants.

[0021] As a preferred solution of the multi-level protection technology of the intelligent integrated power supply system described in the present invention, wherein: the comprehensive threshold is defined as 0.992.

[0022] The present invention provides a multi-level protection technology for an intelligent integrated power supply system, which has the following beneficial effects:

[0023] 1. A variety of protection measures are adopted, including short circuit protection, overload protection, undervoltage protection, overvoltage protection, leakage protection, lightning protection, etc., to achieve comprehensive protection of the power supply system.

[0024] 2. An adaptive protection strategy is adopted, which can monitor the abnormal status of the power supply system according to the operating status and environmental factors of the power supply system.

[0025] 3. A communication interface is provided to realize information exchange and control coordination between protection devices, and improve the intelligence level of the power supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0027] Figure 1 An overall component system diagram of the multi-level protection technology for the intelligent integrated power supply system provided by the present invention.

[0028] Figure 2 A flow chart of a method for constructing an internal state analysis model for the data analysis module provided by the present invention. DETAILED DESCRIPTION

[0029] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0030] Existing power supply system protection technologies often have problems such as insufficient data analysis and inaccurate conditions for triggering protection measures, making it difficult to meet the high safety requirements of modern power supply systems.

[0031] Therefore, please refer to Figure 1 The present invention provides a multi-level protection technology for an intelligent integrated power supply system, including the following components:

[0032] The sensor network monitors the operating status of the power system in real time through various types of sensors configured, and transmits the monitoring data wirelessly to the data acquisition module;

[0033] The data acquisition module is connected to the sensor network wirelessly and stores the data after receiving the monitoring data;

[0034] The data analysis module is wirelessly connected to the data acquisition module to obtain the stored monitoring data, synchronously build an internal state analysis model, input the monitoring data, and output the internal state analysis value;

[0035] The control module is connected to the data analysis module by wireless data, obtains the internal state analysis value, performs threshold comparison, determines whether the operation state of the power supply system is abnormal, and controls the protection module to start when it is abnormal;

[0036] The protection module is wirelessly connected to the control module and is turned on by the control module when the operation state of the power supply system is abnormal.

[0037] Specifically, the sensor network monitors the operating status of the power supply system in real time, including:

[0038] The current variation curve within the rated time is obtained in real time through the current sensor configured at the current output end of the power supply system;

[0039] A set of temperature sensors are configured at various points of the power system to obtain the temperature data of each point of the current power system in real time;

[0040] A group of humidity sensors are installed at various points in the power system to obtain the humidity data of each point in the current power system in real time.

[0041] It should be noted that the current sensor, temperature sensor and humidity sensor used in the present invention are all direct applications of existing sensor devices, and no unnecessary details will be given here.

[0042] Furthermore, the data analysis module constructs an internal state analysis model including the following steps:

[0043] S1: Within the rated time, a constant number of power-consuming devices are turned on stably, and the power system continues to supply power;

[0044] It should be noted that if a constant number of power-consuming devices are turned on stably within a rated time, the current output is theoretically constant.

[0045] Among them, the rated time can be selected as 12h, and there is no specific restriction requirement for this.

[0046] S2: Obtain the current variation curve and simultaneously select points with consistent time intervals within the rated time as reference points;

[0047] For example: if the rated time is 12h, a reference point is selected every hour.

[0048] S3: Obtain representative characteristic values ​​in the current variation curve, wherein the representative characteristic values ​​specifically include: maximum current value, minimum current value, average current value and current value at each reference point;

[0049] S4: Construct an internal state analysis model.

[0050] Furthermore, the internal state analysis model constructed is as follows:

[0051]

[0052] Among them, δ is the internal state analysis value; I1 is the current value of the first reference point, A; I n is the current value of the nth reference point, A; n is the number of reference points; I min is the minimum current value, A; I max is the maximum current value, A; I 均 is the average current value, A; 1.302 and 1.64 are adjustment constants; dx is the integral operation.

[0053] Specifically, the threshold is defined as 3.513;

[0054] Furthermore, when the internal state analysis value of the power supply system is higher than a threshold value, it is determined that the current power supply system is abnormal.

[0055] It should be additionally explained that the data analysis module also includes building an external state analysis model, inputting monitoring data, outputting external state analysis values, building a comprehensive analysis model based on the external state analysis values ​​and the internal state analysis values, obtaining the comprehensive analysis values, and when the comprehensive analysis values ​​are higher than the comprehensive threshold, determining that the current power supply system is abnormal.

[0056] Furthermore, the external state analysis model constructed is specifically as follows:

[0057]

[0058] Among them, ε is the external state analysis value; t is the temperature data of each point, ℃; q is the number of temperature detection points, pieces; t1 is the temperature data of the first temperature detection point, ℃; t q is the temperature data of the qth temperature detection point, °C; t min is the minimum value of the temperature data at each temperature detection point, ℃; t max is the maximum value of the temperature data of each temperature detection point, ℃; s is the humidity data of each point, %; m is the number of temperature detection points, pieces; s1 is the humidity data of the first humidity detection point, %; s m is the humidity data of the mth humidity detection point, %; s min It is the minimum value of humidity data at each humidity detection point, %; s max is the maximum value of the humidity data at each humidity detection point, %; 1.32 and 1.07 are adjustment constants; dx is the integral operation.

[0059] Furthermore, the comprehensive analysis model constructed is as follows:

[0060] u=|[δ (ε-1) ] 2.60 |

[0061] Among them, μ is the state analysis value; δ is the internal state analysis value; ε is the external state analysis value; 1 and 2.60 are adjustment constants.

[0062] Specifically, the comprehensive threshold is defined as 0.992.

[0063] When the power system is in an abnormal operating state, the control module controls the power on. It should be noted that the protection measures specifically include:

[0064] 1.Short-Circuit Protection:

[0065] Short circuit protection is usually achieved using a quick-disconnect circuit breaker.

[0066] When it is detected that the current exceeds the short-circuit current threshold, the circuit breaker will automatically disconnect within milliseconds to prevent excessive current from causing equipment damage or fire.

[0067] The design of the circuit breaker should take into account the disconnection speed, breaking capacity and ability to withstand overvoltage.

[0068] 2. Overload Protection:

[0069] Overload protection is achieved by detecting whether the current or power exceeds the preset load capacity.

[0070] When an overload is detected, the protection device can protect the power system by disconnecting the circuit, sounding an alarm, or automatically adjusting the load.

[0071] The overload protection device should have high sensitivity and accuracy to prevent overheating and equipment damage.

[0072] 3. Undervoltage Protection:

[0073] Undervoltage protection is to prevent the device performance from degrading or failing to start due to low voltage.

[0074] When the voltage is detected to be lower than the preset undervoltage threshold, the protection device will take measures such as cutting off the power supply or sounding an alarm.

[0075] The undervoltage protection device should have sufficient response speed and reliability to ensure the normal operation of the equipment.

[0076] 4. Overvoltage Protection:

[0077] Overvoltage protection is to prevent equipment damage or failure caused by excessive voltage.

[0078] When it is detected that the voltage exceeds the preset overvoltage threshold, the protection device will cut off the power supply or take other protective measures.

[0079] Overvoltage protection devices should have high accuracy and reliability, as well as fast response speed.

[0080] 5. Leakage Protection:

[0081] Leakage protection is achieved by detecting leakage current in the circuit.

[0082] When it is detected that the leakage current exceeds the preset leakage threshold, the protection device will disconnect the power supply or issue an alarm.

[0083] The leakage protection device should have high sensitivity and reliability to prevent electric shock accidents.

[0084] 6. Lightning Protection:

[0085] Lightning protection is to prevent lightning from damaging the power system.

[0086] Protection measures include installing lightning rods, lightning strips, surge protectors (SPDs), etc. to disperse lightning energy and protect equipment from damage.

[0087] Lightning protection devices should have sufficient protection level and reliability to cope with strong lightning environments.

[0088] In order to verify the beneficial effects of the present invention, the following experiment is designed:

[0089] Experimental Design

[0090] 1. Select test equipment: Select a group of representative power supply systems as test objects, including industrial power supplies, household appliances, etc.

[0091] 2. Install sensors: Install various types of sensors on the selected test equipment to monitor the operating status of the power system in real time, including current, temperature, and humidity.

[0092] 3. Configure the wireless transmission system: ensure that the sensor can wirelessly transmit the monitoring data to the data acquisition module for data storage.

[0093] 4. Build a comprehensive state analysis model: Develop and configure a comprehensive state analysis model to analyze the input monitoring data and output a comprehensive state analysis value.

[0094] 5. Set up protection module: Install the protection module, including short circuit protection, overload protection, undervoltage protection, overvoltage protection, leakage protection, lightning protection, etc., and ensure that the protection module can be controlled according to the internal state analysis value.

[0095] 6. Set up a control group: Select a group of identical equipment as the control group, install only traditional protection devices, and do not use internal state analysis models and adaptive protection strategies.

[0096] Data Collection

[0097] 1. Real-time data collection: The operating data of the test group equipment is collected in real time through sensors and wirelessly transmitted to the data acquisition module for storage.

[0098] 2. Fault event record: record the fault events that occurred in the equipment of the test group and the control group during the test, including short circuit, overload, undervoltage, overvoltage, leakage, lightning strike, etc.

[0099] 3. User feedback: Collect user experience and feedback on the protection system, including ease of use, reliability, etc.

[0100] Data analysis

[0101] 1. Protection effect analysis: Analyze the failure rate of equipment in the test group and the control group under protection measures, and compare the differences between the two groups of data.

[0102] 2. Protection strategy evaluation: Evaluate the performance of the adaptive protection strategy in response to different environmental factors and operating conditions, and analyze its effectiveness and stability.

[0103] 3. User satisfaction survey: Collect users’ satisfaction and suggestions on the protection system through questionnaires or interviews.

[0104] Table 1: Comparison of failure rates

[0105] Protection Type Failure rate of control group (%) Failure rate of test group (%) Short circuit protection 8.46 0 Overload protection 12.03 1.22 Undervoltage protection 3.25 0 Overvoltage protection 2.98 0 Leakage protection 4.45 0 Lightning protection 10.89 0

[0106] The present invention provides a multi-level protection technology for an intelligent integrated power supply system, which has the following beneficial effects:

[0107] 1. A variety of protection measures are adopted, including short circuit protection, overload protection, undervoltage protection, overvoltage protection, leakage protection, lightning protection, etc., to achieve comprehensive protection of the power supply system.

[0108] 2. An adaptive protection strategy is adopted, which can monitor the abnormal status of the power supply system according to the operating status and environmental factors of the power supply system.

[0109] 3. A communication interface is provided to realize information exchange and control coordination between protection devices, and improve the intelligence level of the power supply system.

[0110] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A multi-level protection technology for an intelligent integrated power supply system, characterized in that: Includes the following components: The sensor network monitors the operating status of the power system in real time through various types of sensors configured, and transmits the monitoring data wirelessly to the data acquisition module; A data acquisition module is connected to the sensor network wirelessly and receives monitoring data for data storage; A data analysis module is wirelessly connected to the data acquisition module to obtain the stored monitoring data, synchronously construct an internal state analysis model, input the monitoring data, and output an internal state analysis value; A control module is wirelessly connected to the data analysis module, performs threshold comparison after obtaining the internal state analysis value, determines whether the operation state of the power supply system is abnormal, and controls the protection module to start when it is abnormal; The protection module is wirelessly connected to the control module and is turned on by the control module when the operation state of the power supply system is abnormal.

2. The multi-level protection technology of the intelligent integrated power supply system according to claim 1 is characterized in that: The sensor network real-time monitoring of the operating status of the power supply system specifically includes: The current variation curve within the rated time is obtained in real time through the current sensor configured at the current output end of the power supply system; A group of temperature sensors are configured at various points of the power system to obtain the temperature data of each point of the current power system in real time; A group of humidity sensors are installed at various points in the power system to obtain the humidity data of each point in the current power system in real time.

3. The multi-level protection technology of the intelligent integrated power supply system according to claim 2 is characterized in that: The data analysis module constructs the internal state analysis model specifically including the following steps: S1: Within the rated time, a constant number of power-consuming devices are turned on stably, and the power system continues to supply power; S2: Obtain the current variation curve, and simultaneously select points with consistent time intervals within the rated time as reference points; S3: Obtain representative characteristic values ​​in the current variation curve, wherein the representative characteristic values ​​specifically include: a maximum current value, a minimum current value, an average current value, and a current value at each reference point; S4: Construct the internal state analysis model.

4. The multi-level protection technology of the intelligent integrated power supply system according to claim 3 is characterized in that: The internal state analysis model constructed is specifically: Wherein, δ is the internal state analysis value; I1 is the current value of the first reference point, A; I n is the current value of the nth reference point, A; n is the number of reference points; I min is the minimum current value, A; I max is the maximum current value, A; I 均 is the average current value, A; 1.302 and 1.64 are adjustment constants; dx is the integral operation.

5. The multi-level protection technology of the intelligent integrated power supply system according to claim 4 is characterized in that: The threshold is defined as 3.513; Furthermore, when the internal state analysis value of the power supply system is higher than the threshold value, it is determined that the current power supply system is abnormal.

6. The multi-level protection technology of the intelligent integrated power supply system according to claim 5 is characterized in that: The data analysis module also includes constructing an external state analysis model, inputting monitoring data, outputting an external state analysis value, constructing a comprehensive analysis model based on the external state analysis value and the internal state analysis value, obtaining a comprehensive analysis value, and when the comprehensive analysis value is higher than a comprehensive threshold, determining that the current power supply system is abnormal.

7. The multi-level protection technology of the intelligent integrated power supply system according to claim 6 is characterized in that: The external state analysis model constructed is specifically: Wherein, ε is the external state analysis value; t is the temperature data of each point, ℃; q is the number of temperature detection points, pcs; t1 is the temperature data of the first temperature detection point, ℃; t q is the temperature data of the qth temperature detection point, °C; t min is the minimum value of the temperature data at each temperature detection point, ℃; t max is the maximum value of the temperature data of each temperature detection point, ℃; s is the humidity data of each point, %; m is the number of temperature detection points, pcs; s1 is the humidity data of the first humidity detection point, %; s m is the humidity data of the mth humidity detection point, %; s min It is the minimum value of humidity data at each humidity detection point, %; s max is the maximum value of the humidity data at each humidity detection point, %; 1.32 and 1.07 are adjustment constants; dx is the integral operation.

8. The multi-level protection technology of the intelligent integrated power supply system according to claim 7 is characterized in that: The comprehensive analysis model constructed is specifically: μ=|[δ (ε-1) ] 2.60 | Among them, μ is the state analysis value; δ is the internal state analysis value; ε is the external state analysis value; 1 and 2.60 are adjustment constants.

9. The multi-level protection technology of the intelligent integrated power supply system according to claim 8 is characterized in that: The composite threshold was defined as 0.992.

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