Energy supply system fault handling method, system and medium based on energy unit

Abstract

The present application relates to the field of electrical variable measurement technology, and specifically to a method, system, and medium for troubleshooting an energy supply system based on an energy unit. The method includes: collecting voltage data based on a voltmeter; dividing the voltage data into abnormal voltage and normal voltage, obtaining stage stability based on the normal voltage fluctuation and the distribution of abnormal voltage; adjusting the degree to which the abnormal voltage exceeds the voltage range based on the difference between adjacent abnormal voltages to obtain an updated deviation degree; constructing an abnormal group; obtaining the severity of the abnormality based on the maximum abnormal degree and length in the abnormal group; determining the degree of unstable abnormality based on stage stability, updated deviation, and severity of the abnormality; obtaining a power supply startup coefficient based on the current excess degree, voltage variation amplitude, and unstable abnormality degree in the abnormal group; and determining a fault handling method based on the power supply startup coefficient. The present application reduces unnecessary startup of the backup power supply and extends the service life of the backup power supply.

Description

Technical Field

[0001] The present application relates to the technical field of electrical variable measurement, and in particular to a method, system and medium for troubleshooting an energy supply system based on an energy unit. Background Art

[0002] An energy unit usually refers to a device, apparatus or system that can independently produce, convert, store or utilize energy. The energy supply system of an energy unit is an important component that converts energy into a usable form and provides energy to various energy-consuming equipment or systems. Common types include electric power supply systems, thermal power supply systems, gas power supply systems, etc. The efficient operation of the energy unit power supply system is of great significance for ensuring energy supply and meeting user needs.

[0003] In the energy supply system of an energy unit, when the voltage of a power supply system is abnormal, connecting the backup power supply system is an important measure to ensure the continuous power supply of the energy unit. The backup power supply is usually used in emergency situations. Currently, most power supply systems usually use direct judgment or fixed thresholds based on voltage abnormalities as conditions for enabling the backup power supply. This method ignores the specific situation and cannot be adjusted according to the actual situation. For example, when there are short or small fluctuations caused by the start-up or suspension of large equipment, or when the voltage fluctuation has no actual impact, the backup power supply does not need to be started. Enabling the backup power supply without a clear reason may lead to frequent startup and unnecessary switching of the backup power supply, increasing unnecessary operation and wear of the backup power supply. Summary of the Invention

[0004] In order to solve the technical problem of wear caused by frequent startup of backup power supplies, this application provides a method, system, and medium for troubleshooting energy supply system faults based on energy units. The technical solutions adopted are as follows:

[0005] In a first aspect, the present application proposes a method for troubleshooting an energy supply system based on an energy unit, the method comprising the following steps:

[0006] Collect voltage data based on voltmeter;

[0007] Based on the rated voltage, the voltage data is divided into abnormal voltage and normal voltage; the initial stability is obtained based on the range and variance of the normal voltage; the initial stability is adjusted based on the proportion of abnormal voltage in the total duration and the first-order difference fluctuation to obtain the stage stability;

[0008] The deviation degree is determined based on the maximum degree to which all abnormal voltages exceed the voltage range; the deviation degree is updated and adjusted based on the difference between adjacent abnormal voltages; the abnormal voltages are grouped into abnormal groups; the minimum difference between each abnormal voltage and the voltage range is used as the abnormality degree; the distance between abnormal groups is adjusted based on the abnormal group length and the maximum abnormality degree to obtain the abnormality severity; the stage stability, updated deviation degree, and abnormality severity are forwardly integrated to obtain the unstable abnormality degree;

[0009] Obtaining a power supply startup coefficient based on the degree to which the current in the abnormal group exceeds the rated current, the abnormal voltage change speed, and the degree of unstable abnormality;

[0010] The power startup coefficient is compared with a preset threshold to determine whether to start the backup power supply to handle the fault.

[0011] In the above scheme, this application determines the voltage stability by analyzing the voltage changes of the power generation system and analyzing the two opposite sides of normal voltage and abnormal voltage, and analyzes the possible causes of voltage instability based on the current conditions when the voltage is abnormal. The conditions for enabling the backup power supply are determined according to the stability and possible causes. By evaluating the necessary coefficients, the backup power supply is enabled only when it is really needed, avoiding frequent startup of the backup power supply due to short-term voltage fluctuations or misjudgments with unimportant causes, reducing unnecessary startup of the backup power supply, and extending the service life of the backup power supply.

[0012] In one embodiment, the preliminary stability is negatively correlated with the range and variance of all normal voltages.

[0013] In one embodiment, the method for adjusting the initial stability based on the ratio of abnormal voltage to total duration and first-order differential fluctuation to obtain the stability of the stage is:

[0014] The difference between the earliest time and the latest time of all abnormal voltages is taken as the distribution range of the abnormal voltage;

[0015] Sort all abnormal voltages in time sequence, obtain their first-order difference sequence, and calculate the inverse of the variance of the first-order difference sequence as the uniform distribution value;

[0016] The stage stability is positively correlated with the initial stability, and negatively correlated with the ratio of the distribution range and total duration of the abnormal voltage and the uniform distribution value of the abnormal voltage.

[0017] In one embodiment, the method for obtaining the update deviation degree is:

[0018] The voltage differences between adjacent abnormal voltages are normalized and then averaged, and the product of the average and the deviation degree of the abnormal voltage is used as the updated deviation degree.

[0019] In one embodiment, the abnormality degree is the minimum value of the absolute values ​​of the differences between the abnormal voltage value and the upper limit value of the voltage range and the lower limit value of the voltage range.

[0020] In one embodiment, the method for adjusting the abnormal group interval distance based on the abnormal group length and the maximum abnormality degree to obtain the abnormality severity is:

[0021] The product of the length of the abnormal group and the maximum abnormal degree is taken as the abnormal severity of the abnormal group;

[0022] The number of normal voltages between two adjacent abnormal groups is taken as the separation distance between the two abnormal groups;

[0023] The expression for the severity of anomaly is:

[0024] , Indicates the The abnormal group and The distance between the abnormal groups, Indicates the The severity of abnormalities in each abnormal group, Indicates the The severity of abnormalities in each abnormal group, represents the number of abnormal groups, represents an exponential function with a natural constant as the base, Indicates the length of the longest abnormal group, Indicates the severity of the abnormality of voltage data.

[0025] In one embodiment, the method for obtaining the power supply startup coefficient based on the degree to which the current in the abnormal group exceeds the rated current, the abnormal voltage change speed, and the degree of instability is:

[0026] , represents the maximum current in the kth abnormal group, Indicates the rated current, represents the voltage variation amplitude of the kth abnormal group, represents the length of the kth abnormal group, represents the number of abnormal groups, Indicates the degree of instability and abnormality of voltage data; Indicates the power supply startup factor.

[0027] In one embodiment, the method of comparing the power startup coefficient with a preset threshold to determine whether to start the backup power supply to handle the fault is:

[0028] The power startup coefficient is normalized and compared with the preset threshold. If it is greater than the preset threshold, the backup power supply is enabled; if it is less than or equal to the preset threshold, the backup power supply does not need to be enabled and the system needs to be adjusted accordingly.

[0029] In the second aspect, an embodiment of the present application also provides a fault handling system, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-mentioned energy unit-based energy supply system fault handling methods.

[0030] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements a method for handling energy supply system faults based on an energy unit as described in the first aspect.

[0031] The beneficial effects of this application are:

[0032] This application determines the voltage stability by analyzing the voltage changes of the power generation system and analyzing the opposite sides of normal voltage and abnormal voltage, and analyzes the possible causes of voltage instability based on the current conditions when the voltage is abnormal. The conditions for enabling the backup power supply are determined according to the stability and possible causes. By evaluating the necessary coefficients, the backup power supply is enabled only when it is really needed, avoiding frequent startup of the backup power supply due to short-term voltage fluctuations or misjudgments with unimportant causes, reducing unnecessary startup of the backup power supply, and extending the service life of the backup power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0034] Figure 1 A flow chart of a method for troubleshooting an energy supply system based on an energy unit provided in one embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to further illustrate the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the energy supply system fault handling method, system and medium based on the energy unit proposed in this application, its specific implementation method, structure, features and effects. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics of one or more embodiments may be combined in any suitable form.

[0036] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0037] An energy supply system fault handling method, system and medium embodiment based on an energy unit:

[0038] The following describes in detail with reference to the accompanying drawings a specific solution of a method, system and medium for troubleshooting an energy supply system based on an energy unit provided by the present application.

[0039] See also Figure 1 , which shows a flow chart of a method for troubleshooting an energy supply system based on an energy unit according to an embodiment of the present application, the method comprising the following steps:

[0040] Step S001: collecting voltage data based on a voltmeter.

[0041] In the energy unit power supply system, the power supply system is a key link in energy transmission and distribution. When the main power supply is interrupted due to equipment failure, line failure, overload, etc., or the voltage and frequency exceed the normal range and cannot meet the load demand, or a systemic failure occurs, it is necessary to connect a backup power supply system to ensure the continuity of power supply.

[0042] The power generation link is the source of the power supply system. Voltage anomalies in the power generation link will have a significant impact on the stability of the entire power supply system. Therefore, this application monitors the voltage-related parameters in the power generation link of the power supply system.

[0043] Select a suitable voltmeter and install it at the generator output terminal. After ensuring that the connection is correct, the generator terminal voltage of the energy supply system can be measured during normal operation, and the measured voltage data can be recorded. In this embodiment, a voltage data is collected every 10 minutes.

[0044] At this point, the voltage output by the engine is obtained.

[0045] Step S002 : dividing the voltage data into abnormal voltage and normal voltage, and obtaining the stage stability based on the normal voltage fluctuation and the distribution of the abnormal voltage.

[0046] In the power supply system, whether the voltage output by the generator is stable is the basis for the stable operation of the entire power system. Most electrical equipment has certain requirements for voltage stability. Excessive high or low voltage will have a certain impact on electrical equipment, so it is necessary to ensure voltage stability. However, in the actual operation process, the voltage may be unstable due to factors such as sudden load changes and power system failures, so it is necessary to determine the voltage stability in the power supply system.

[0047] Generally speaking, when the voltage deviation exceeds ±10% of the normal rated voltage, it is considered to have seriously deviated from the normal range. For example, in a system with a rated voltage of 220V, a voltage lower than 198V or higher than 242V may cause damage to most electrical equipment.

[0048] Therefore, based on the rated voltage of the current power generation system, the voltage deviation of the power generation system is preset. In this embodiment, the voltage deviation range is ±8%, and the lower limit value U1 and upper limit value U2 for judging whether the measured voltage is abnormal are obtained. U1=U-8%U; U2=U+8%U, where U represents the rated voltage of the current system.

[0049] Based on all the measured voltage data, all voltage data that is less than U1 or greater than U2 is recorded as abnormal voltage, and those within the range of U1-U2 are recorded as normal voltage; determine the number of all abnormal voltages, recorded as a, the greater the number of abnormal voltages, the more serious the abnormality of the measured voltage; and determine the corresponding time of occurrence of all abnormal voltages.

[0050] For all normal voltages, calculate their range. The range represents the fluctuation range of the normal voltage. The smaller the fluctuation range, the smaller the maximum fluctuation of the normal voltage, and the more stable the voltage. Also calculate the variance of all normal voltages. The smaller the variance, the smaller the overall fluctuation of the normal voltage, and the more stable the voltage. Therefore, based on the range and variance of the normal voltage, we can obtain the initial stability of the voltage data.

[0051] The initial stability is negatively correlated with the range and variance of all normal voltages.

[0052] It should be noted that negative correlation means that when one variable increases, the other variable decreases accordingly, and the two variables change in opposite directions. When one variable changes from large to small or from small to large, the other variable also changes from small to large or from large to small. The specific relationship is determined by actual application and this application does not impose any special restrictions.

[0053] Preferably, in this embodiment, the expression of preliminary stability is:

[0054] ;in, Indicates the extreme difference of normal voltage. represents the variance of all normal voltages, represents an exponential function with a natural constant as the base, Indicates the initial stability of voltage data. When the range and variance are smaller, the voltage data is more stable and the initial stability is greater.

[0055] In addition to the maximum fluctuation amplitude and overall fluctuation of normal voltage, the stability of voltage data is also related to the distribution of abnormal voltage. If the abnormal voltage is scattered throughout the monitoring process, it means that the voltage is constantly fluctuating between normal and abnormal, and the stability is poor; when the abnormal voltage is concentrated in a certain period of time, the abnormal changes in voltage will also be concentrated in this period of time, and the stability is strong.

[0056] Therefore, for all abnormal voltages, the difference between the earliest and latest time in the time series is calculated as the distribution range of the abnormal voltage. A larger distribution range indicates a wider distribution of the abnormal voltage. However, a wide distribution does not necessarily mean that the abnormal voltages are evenly distributed at different times. It is possible that most abnormal voltages are within a small interval, while some are within other intervals. Therefore, for all abnormal voltages, their time series are sequentially constructed into a time series sequence. The first-order difference of the time series sequence is calculated to obtain the first-order difference sequence. The inverse of the variance of the first-order difference sequence is calculated as the uniform distribution value. The larger the uniform distribution value, the more uniform the abnormal voltage distribution.

[0057] The initial stability adjustment is performed based on the ratio of the distribution range of the abnormal voltage to the total duration and the uniform distribution value of the abnormal voltage to obtain the stage stability.

[0058] The stage stability is positively correlated with the initial stability, and negatively correlated with the ratio of the distribution range and total duration of the abnormal voltage and the uniform distribution value of the abnormal voltage.

[0059] It should be noted that positive correlation means that when one variable increases, the other variable also increases, and the two variables change in the same direction. When one variable changes from large to small or from small to large, the other variable also changes from large to small or from small to large; the specific relationship is determined by actual application and this application does not impose any special restrictions.

[0060] Preferably, in this embodiment, the expression of stage stability is:

[0061] , Indicates the distribution range of abnormal voltage, Indicates the total time of collecting voltage data. Indicates the uniform distribution value of abnormal voltage, represents an exponential function with a natural constant as the base, Indicates the initial stability of the voltage data, Indicates the phase stability of voltage data.

[0062] At this point, the stage stability of the voltage data is obtained.

[0063] Step S003, based on the difference between adjacent abnormal voltages, the degree to which the abnormal voltage exceeds the voltage range is adjusted to obtain an updated deviation degree; an abnormal group is constructed; the severity of the abnormality is obtained based on the maximum abnormal degree and length in the abnormal group; and the degree of unstable abnormality is determined based on the stage stability, the updated deviation degree, and the severity of the abnormality.

[0064] There are many factors that lead to unstable voltage in the power supply system. When the voltage of the power supply system is unstable, whether to enable the backup power supply needs to consider the specific reasons and the severity of the voltage fluctuation. If the voltage fluctuation is due to a power supply system failure, such as a failure of major equipment such as a generator or transformer, which causes the voltage to deviate seriously from the normal range, the power supply needs to be continuously stable when the backup power supply is enabled; if the voltage fluctuation is short-term and small-scale, or caused by random changes in the load, it can be solved by making appropriate adjustments to the current power supply system without enabling the backup power supply; therefore, it is necessary to further analyze the voltage stability and determine the factors that lead to voltage instability, so as to determine whether the backup power supply needs to be enabled.

[0065] The stage stability obtained in the above steps only roughly determines the voltage stability index based on the fluctuation range of abnormal voltage and normal voltage, ignoring the characteristics of abnormal voltage such as duration and degree of deviation. Therefore, further analysis of the voltage is needed to determine the severity of its instability.

[0066] The maximum and minimum values ​​of all abnormal voltages are determined. Since the abnormal voltage may be less than the lower limit or greater than the upper limit, the deviation degree of the abnormal voltage is calculated based on the magnitude by which the abnormal voltage exceeds the upper limit and the magnitude by which the abnormal voltage is less than the lower limit.

[0067] Preferably, the method for obtaining the deviation degree of the abnormal voltage is: calculating the difference between the maximum value and the upper limit of the abnormal voltage and recording it as the first difference; calculating the absolute value of the difference between the minimum value and the lower limit of the abnormal voltage and recording it as the second difference.

[0068] The deviation degree of the abnormal voltage is obtained based on the first difference and the second difference; the deviation degree is positively correlated with the first difference and the second difference.

[0069] Preferably, in this embodiment, the sum of the first difference and the second difference is normalized and used as the deviation degree of the abnormal voltage.

[0070] When the deviation degree of the abnormal voltage is large, it may be caused by the large differences between all abnormal voltages or the large differences between some abnormal voltages. Therefore, the deviation degree needs to be updated according to the differences between adjacent abnormal voltages.

[0071] The voltage difference between adjacent abnormal voltages is calculated. In this embodiment, the voltage difference is the absolute value of the difference between the voltage values ​​of two adjacent abnormal voltages.

[0072] The voltage differences between adjacent abnormal voltages are normalized and then averaged, and the product of the average and the deviation degree of the abnormal voltage is used as the updated deviation degree.

[0073] Factors that affect the severity of voltage instability include not only the degree of voltage deviation but also the duration of the abnormal voltage. The longer the abnormality lasts, the more seriously the voltage is affected and the greater the possibility of affecting equipment operation. If the abnormality lasts for a short time, or is only a momentary fluctuation and then returns to normal, it means that its severity is relatively small.

[0074] If there is no normal voltage between two adjacent abnormal voltages, the two adjacent abnormal voltages form an abnormal group. If there is no normal voltage between the abnormal group and its adjacent abnormal voltage, the adjacent abnormal voltage is added to the abnormal group. The entire monitoring time is traversed to obtain several abnormal groups of different lengths. The length is the number of abnormal voltages in the abnormal group.

[0075] The number of normal voltages between two adjacent abnormal groups is taken as the distance between the two abnormal groups. For each abnormal voltage, the degree to which it exceeds the upper limit or lower limit is taken as the abnormality degree of each abnormal voltage.

[0076] Preferably, in this embodiment, the absolute value of the difference between the voltage value of each abnormal voltage and the upper limit and the lower limit is calculated respectively, and the smallest absolute value of the difference is used as the abnormality degree of the abnormal voltage.

[0077] The severity of anomaly groups is calculated based on the length of each anomaly group and the maximum anomaly level within the anomaly group. In this embodiment, the severity of anomaly is the product of the length of the anomaly group and the maximum anomaly level within the anomaly group. That is, the longer the length of the anomaly group and the greater the maximum anomaly level, the greater the severity of the anomaly group.

[0078] The interval distance is adjusted based on the abnormality degree of adjacent abnormal groups, and the abnormal severity of the voltage data is obtained in combination with the length of the longest abnormal group;

[0079] Preferably, in this embodiment, the expression of the severity of the abnormality is:

[0080] , Indicates the The abnormal group and The distance between the abnormal groups, Indicates the The severity of abnormalities in each abnormal group, Indicates the The severity of abnormalities in each abnormal group, represents the number of abnormal groups, represents an exponential function with a natural constant as the base, Indicates the length of the longest abnormal group, Indicates the severity of the abnormality of voltage data.

[0081] Among them, the longer the maximum continuous length and the smaller the interval distance, the more continuous the abnormal voltage distribution, the longer the duration, and the greater the severity of the abnormality; and the greater the severity of the abnormality of the abnormal group, the longer the abnormal voltage and the greater the severity of the abnormality.

[0082] The instability and abnormality degree of the voltage data is calculated based on the stage stability, update deviation degree and abnormality severity of the voltage data.

[0083] The degree of unstable anomaly is negatively correlated with stage stability, and positively correlated with the degree of update deviation and the severity of anomaly.

[0084] Preferably, in this embodiment, the degree of instability anomaly is the product of the inverse of the stage stability, the update deviation degree, and the severity of the anomaly.

[0085] Among them, the smaller the stage stability of the voltage data, the more unstable the voltage data; the larger the update deviation, the larger the voltage difference between the abnormal voltages, and the more unstable the voltage data; the greater the severity of the anomaly, the smaller the interval distance and the more continuous the abnormal voltage distribution, that is, the longer the duration of the anomaly, the more unstable the voltage data.

[0086] At this point, the degree of instability and abnormality of the voltage data is obtained.

[0087] Step S004 : obtaining a power supply startup coefficient based on the current excess degree, voltage variation amplitude, and instability abnormality degree in the abnormal group.

[0088] The above steps provide an indication of the degree of voltage instability. To determine whether the backup power supply needs to be activated, the cause of the voltage instability must be determined.

[0089] When a power supply system fails, the voltage variation caused is usually large, such as a rapid drop or surge, and the current will also increase sharply, far exceeding the normal operating range, and may be several times the rated current; when the load change causes voltage instability, the corresponding current change is usually relatively gentle, without large changes, and the amplitude of the change is always within a certain range and will not exceed the tolerance of the equipment. Therefore, the cause of the voltage instability and the necessity of activating the backup power supply are determined based on this.

[0090] Each abnormal group is regarded as a voltage abnormality. The number of abnormal groups and the current corresponding to each abnormal group are determined. When the maximum current in each group is greater than the rated current of the system, the abnormality is more likely to be caused by a fault.

[0091] At the same time, the voltage change amplitude and duration (length) of each abnormal group are determined, and the ratio of the voltage change amplitude to the duration is used to represent the voltage change speed caused by the abnormality. The larger the change in a shorter period of time, the faster the change speed, and the more likely it is that the abnormality is caused by a fault. The voltage change amplitude of the abnormal group is the difference between the maximum abnormal voltage and the minimum abnormal voltage in the abnormal group.

[0092] The power supply startup coefficient is obtained based on the ratio of the maximum current of the abnormal group to the rated current, the ratio of the voltage change amplitude to the length of the abnormal group, and the degree of unstable abnormality of the voltage data.

[0093] The power supply startup coefficient is positively correlated with the ratio of the maximum current to the rated current, the ratio of the voltage variation amplitude to the length of the abnormal group, and the degree of unstable abnormality.

[0094] Preferably, in this embodiment, the expression of the power startup coefficient is:

[0095] , represents the maximum current in the kth abnormal group, Indicates the rated current, represents the voltage variation amplitude of the kth abnormal group, represents the length of the kth abnormal group, represents the number of abnormal groups, Indicates the degree of instability and abnormality of voltage data; Indicates the power supply startup coefficient.

[0096] in, represents the voltage change rate of the kth abnormal group, Indicates the possibility that the current voltage instability is caused by a system failure. The greater the possibility of a system failure and the more severe the voltage instability, the more necessary it is to enable the backup power supply.

[0097] At this point, the power startup coefficient is obtained.

[0098] Step S005: determining a fault handling method based on the power startup coefficient.

[0099] According to the above steps, the power startup coefficient of the functional system at the current moment is determined and normalized to a range of 0-1 using a normalization index. The normalized power startup coefficient is then compared with a preset threshold. If it is greater than the preset threshold, it indicates that the current voltage anomaly is severe and is likely caused by a system failure. In this case, the backup power supply needs to be activated to maintain power supply stability. If it is less than or equal to the preset threshold, it indicates that the anomaly is minor and is likely caused by a load change. In this case, only corresponding adjustments to the system are required. In this embodiment, the preset threshold is 0.6.

[0100] If the backup power source is needed, the system sends a signal to the switching device, which automatically switches from the current power supply system to the backup power supply system in a very short time, ensuring uninterrupted power supply or extremely short interruptions. If the backup power source is not needed, the current power supply system is adjusted, such as adjusting the transformer tap to change the output voltage, switching on or off the reactive power compensation device, and optimizing load distribution.

[0101] Based on the same inventive concept as the above method, an embodiment of the present invention also provides a fault handling system, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-mentioned energy unit-based energy supply system fault handling methods.

[0102] Based on the same concept as the method embodiment of the present application, a computer-readable storage medium is proposed, which stores a computer program. When the computer program is executed by the processor, it implements a method for handling energy supply system faults based on energy units as described in the first aspect. Its specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0103] It should be noted that the above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application.

[0104] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for troubleshooting an energy supply system based on an energy unit, characterized in that: The method comprises the following steps: Collect voltage data based on voltmeter; Based on the rated voltage, the voltage data is divided into abnormal voltage and normal voltage; the initial stability is obtained based on the range and variance of the normal voltage; the initial stability is adjusted based on the proportion of abnormal voltage in the total duration and the first-order difference fluctuation to obtain the stage stability; The deviation degree is determined based on the maximum degree to which all abnormal voltages exceed the voltage range; the voltage differences of adjacent abnormal voltages are normalized and averaged, and the product of the average and the deviation degree of the abnormal voltage is used as the updated deviation degree; the abnormal voltages are grouped into abnormal groups; the minimum difference between each abnormal voltage and the voltage range is used as the abnormality degree; the abnormal group spacing is adjusted based on the abnormal group length and the maximum abnormality degree to obtain the abnormality severity; the unstable abnormality degree is obtained based on the stage stability, the updated deviation degree, and the abnormality severity; the unstable abnormality degree is negatively correlated with the stage stability, and positively correlated with the updated deviation degree and the abnormality severity; Obtaining a power supply startup coefficient based on the degree to which the current in the abnormal group exceeds the rated current, the abnormal voltage change speed, and the degree of unstable abnormality; Compare the power supply startup coefficient with the preset threshold to determine whether to start the backup power supply to handle the fault; The method for adjusting the initial stability based on the ratio of abnormal voltage to total duration and first-order differential fluctuation to obtain stage stability is: The difference between the earliest time and the latest time of all abnormal voltages is taken as the distribution range of the abnormal voltage; Sort all abnormal voltages in time sequence, obtain their first-order difference sequence, and calculate the inverse of the variance of the first-order difference sequence as the uniform distribution value; The stage stability is positively correlated with the initial stability, and negatively correlated with the ratio of the distribution range and total duration of the abnormal voltage and the uniform distribution value of the abnormal voltage; The method for adjusting the abnormal group interval distance based on the abnormal group length and the maximum abnormality degree to obtain the abnormality severity is: The product of the length of the abnormal group and the maximum abnormal degree is taken as the abnormal severity of the abnormal group; The number of normal voltages between two adjacent abnormal groups is taken as the separation distance between the two abnormal groups; The expression for the severity of anomaly is: d l,l-1 Indicates the distance between the lth abnormal group and the l-1th abnormal group, y l Indicates the severity of the abnormality of the lth abnormal group, y l-1 represents the severity of the anomaly of the l-1th anomaly group, x represents the number of anomaly groups, exp() represents the exponential function with a natural constant as the base, and f max represents the length of the longest abnormal group, and C represents the severity of the abnormality of the voltage data; The method for obtaining the power supply startup coefficient based on the degree to which the current in the abnormal group exceeds the rated current, the abnormal voltage change speed, and the degree of unstable abnormality is: I k,max represents the maximum current in the kth abnormal group, I represents the rated current, and u k represents the voltage variation amplitude of the kth abnormal group, f k represents the length of the kth abnormal group, y represents the number of abnormal groups, D represents the degree of unstable abnormality of voltage data; and E represents the power startup coefficient.

2. A method for troubleshooting an energy supply system based on an energy unit according to claim 1, characterized in that: The preliminary stability is negatively correlated with the range and variance of all normal voltages.

3. The method for troubleshooting an energy supply system based on an energy unit according to claim 1, wherein: The abnormality degree is the minimum value of the absolute values ​​of the differences between the abnormal voltage value and the upper limit value of the voltage range and the lower limit value of the voltage range.

4. A method for troubleshooting an energy supply system based on an energy unit according to claim 1, characterized in that: The method of comparing the power startup coefficient with a preset threshold to determine whether to start the backup power supply to handle the fault is: The power startup coefficient is normalized and compared with the preset threshold. If it is greater than the preset threshold, the backup power supply is enabled; if it is less than or equal to the preset threshold, the backup power supply does not need to be enabled and the system needs to be adjusted accordingly.

5. A fault handling system comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the processor implements the steps of a method for handling energy supply system faults based on an energy unit as described in any one of claims 1 to 4.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement a method for handling energy supply system faults based on an energy unit as described in any one of claims 1 to 4.

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