Power generation type judgment method, device and equipment and readable storage medium

Abstract

The invention discloses a power generation type judgment method, device and equipment and a readable storage medium. The method comprises the steps that the environment output feature, the electrical feature and the current feature of a to-be-recognized generator can be collected; calculating an identification value of the generator to be identified based on the environment output characteristics, the electrical characteristics and the current characteristics; due to the fact that the electrical characteristics, the environment output characteristics and the current characteristics of the generators of different power generation types are greatly distinguished, the distinguishing value calculated by combining the environment output characteristics, the electrical characteristics and the current characteristics is high in reliability; then, on the basis of the distinguishing value, the power generation type of the to-be-recognized generator is evaluated; therefore, the power generation type of the generator can be distinguished by integrating the electrical characteristics, the environment output characteristics and the current characteristics. Therefore, the power generation type of the generator can be distinguished by integrating a plurality of feature dimensions, and the reliability and accuracy of distinguishing are further improved.

Description

Technical Field

[0001] The present application relates to the field of power grid technology, and more specifically, to a method, device, equipment and readable storage medium for determining a power generation type. Background Art

[0002] Distributed renewable energy generators have developed rapidly, and photovoltaic generators and synchronous generators are becoming more and more common in power systems. Generators of different power generation types have significantly different power generation characteristics. For example, the power generation of photovoltaic generators depends on the intensity and duration of sunshine, and has obvious intermittent and unstable characteristics; while the power generation of wind turbines is affected by wind speed, and also has intermittent and uncertain characteristics. Therefore, under the same environment, the power supply capacity of renewable energy generators of different power generation types is different. Based on this, when dispatching power, it is crucial to accurately identify the power generation type of the generator and effectively predict and evaluate its power generation capacity for power dispatching.

[0003] In summary, when the power grid system allocates the output of distributed generators, identifying the power generation type of each generator is an indispensable part. Summary of the invention

[0004] In view of this, the present application provides a method, device, equipment and readable storage medium for determining the power generation type of each generator.

[0005] In order to achieve the above objectives, the proposed solution is as follows:

[0006] A method for determining a power generation type, comprising:

[0007] Collect the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified;

[0008] Calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics;

[0009] Based on the identification value, the power generation type of the generator to be identified is evaluated.

[0010] Optionally, the calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics includes:

[0011] Performing differential emphasis processing on the electrical characteristics to calculate electrical values;

[0012] Performing low-value difference amplification processing on the current characteristics to calculate the current value;

[0013] Performing standard deviation amplification processing on the environmental output characteristics to calculate the output value;

[0014] Based on the electrical characteristics, the current characteristics, the environmental output characteristics, the electrical value, the current value and the output value, an identification value of the generator to be identified is calculated.

[0015] Optionally, calculating the identification value of the generator to be identified based on the electrical feature, the current feature, the environmental output feature, the electrical value, the current value and the output value includes:

[0016] Fusing the electrical feature and the current feature to obtain a first fused feature;

[0017] Fusing the environmental output feature and the current feature to obtain a second fused feature;

[0018] Fusing the electrical feature and the environmental output feature to obtain a third fused feature;

[0019] Numerical calculation is performed on the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value and the output value to calculate and obtain the identification value of the generator to be identified.

[0020] Optionally, performing numerical calculation on the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value, and the output value to calculate the identification value of the generator to be identified includes:

[0021] Using a hierarchy analysis method, calculating a third weight of the environmental output characteristic matching, a first weight of the electrical characteristic matching, and a second weight of the current characteristic matching;

[0022] Calculating a first fusion weight of the first fusion feature matching, a second fusion weight of the second fusion feature matching, and a third fusion weight of the third fusion feature matching;

[0023] Based on the environmental output feature and its matching third weight, the electrical feature and its matching first weight, the current feature and its matching second weight, the first fusion feature and its matching first fusion weight, the second fusion feature and its matching second fusion weight, and the third fusion feature and its matching third fusion weight, the identification value of the generator to be identified is calculated.

[0024] Optionally, the calculating a first fusion weight of the first fusion feature matching, a second fusion weight of the second fusion feature matching, and a third fusion weight of the third fusion feature matching includes:

[0025] Performing weight fusion on the first weight and the second weight to calculate and obtain the first fusion weight;

[0026] Performing weight fusion on the third weight and the second weight to calculate and obtain the second fusion weight;

[0027] The third weight and the first weight are weight-fused to obtain the third fused weight.

[0028] Optionally, the collecting of environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified includes:

[0029] Acquiring a harmonic distortion rate sequence of the generator to be identified;

[0030] Calculating the electrical characteristics of the generator to be identified based on the harmonic distortion rate sequence;

[0031] Acquiring current characteristics of the generator to be identified when the distribution transformer is reversely overloaded;

[0032] Acquire a power value sequence of the generator to be identified under different environments;

[0033] Based on the power value sequence, the environmental output characteristics of the generator to be identified are calculated.

[0034] Optionally, the evaluating the power generation type of the generator to be identified based on the identification value includes:

[0035] Obtaining a preset first recognition threshold and a second recognition threshold, wherein the first recognition threshold is smaller than the second recognition threshold;

[0036] When the identification value is less than the first identification threshold, confirming that the power generation type of the generator to be identified is thermal power generation;

[0037] When the identification value is greater than the second identification threshold, confirming that the generator to be identified is a new energy generator;

[0038] When it is confirmed that the generator to be identified is a new energy generator, the power generation type of the generator to be identified is evaluated based on the environmental output characteristics.

[0039] Optionally, the evaluating the power generation type of the generator to be identified based on the environmental output characteristics includes:

[0040] Based on the environmental output characteristics, evaluating a first correlation between sunshine hours and the output of the generator to be identified and a second correlation between wind intensity and the output of the generator to be identified;

[0041] When the first correlation is less than the second correlation, determining that the power generation type of the generator to be identified is wind power generation;

[0042] When the first correlation is greater than the second correlation, it is determined that the power generation type of the generator to be identified is photovoltaic power generation.

[0043] A power generation type determination device, comprising:

[0044] A collection module, used to collect environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified;

[0045] A calculation module, used for calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics;

[0046] An evaluation module is used to evaluate the power generation type of the generator to be identified based on the identification value.

[0047] A power generation type determination device, comprising a memory and a processor;

[0048] The memory is used to store programs;

[0049] The processor is used to execute the program to implement the various steps of the above-mentioned method for determining the power generation type.

[0050] A readable storage medium stores a computer program thereon, wherein when the computer program is executed by a processor, each step of the above-mentioned method for determining the power generation type is implemented.

[0051] It can be seen from the above technical solutions that the power generation type judgment method provided by the present application can collect the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified; based on the environmental output characteristics, electrical characteristics and current characteristics, the identification value of the generator to be identified is calculated; since the new energy generator is a power electronic device, the harmonic distortion rate in its electrical characteristics is relatively high, while the synchronous generator usually does not have a harmonic distortion rate; and considering that there may be a certain current amplitude when the new energy generator is reversely overloaded, but the synchronous generator does not generate electricity even when it is reversely overloaded, and the current amplitude is 0; at the same time, it is also considered that the new energy The output of the source generator is greatly affected by the environment. For example, when the wind is strong, the output of the wind generator is greater, and when the sunshine is strong, the output of the photovoltaic generator is greater. The output of the traditional generator is not affected by the environment. Therefore, the electrical characteristics, environmental output characteristics and current characteristics of generators of different power generation types are quite different. The discrimination value calculated by this application in combination with the environmental output characteristics, electrical characteristics and current characteristics is highly reliable. Subsequently, based on the discrimination value, the power generation type of the generator to be identified is evaluated. Based on this, this application can comprehensively identify the power generation type of the generator by combining the electrical characteristics, environmental output characteristics and current characteristics. It can be seen that this application can comprehensively identify the power generation type of the generator by combining multiple feature dimensions, further improving the reliability and accuracy of the identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0053] Figure 1 A flow chart of a method for determining a power generation type disclosed in an embodiment of the present application;

[0054] Figure 2 This is a structural block diagram of a power generation type determination device disclosed in an embodiment of the present application;

[0055] Figure 3 This is a hardware structure block diagram of a power generation type determination device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0057] The power generation type determination method of the present application can be used in many general or special computing device environments or configurations, such as personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor devices, and distributed computing environments including any of the above devices or equipment.

[0058] Next, combine Figure 1 The power generation type determination method of this application is introduced in detail, including the following steps:

[0059] Step S1, collecting environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified.

[0060] Specifically, the power value and electrical value of the generator to be identified at each sampling moment can be collected;

[0061] The environmental characteristic value at each sampling moment is determined, and each environmental characteristic value is used to indicate the sunshine intensity and wind intensity at the corresponding sampling moment.

[0062] Establish the corresponding relationship between the environmental characteristic value and the power value corresponding to the same sampling time.

[0063] Based on each power value and its corresponding environmental characteristic value, an environmental output characteristic is constructed.

[0064] Each sampling time can be set according to different needs. Each sampling time can be an hour of the day or a time corresponding to different environments.

[0065] The individual electrical values ​​can be processed to obtain electrical characteristics.

[0066] The output current value of the power generation unit when the distribution transformer is reversely overloaded can be obtained.

[0067] Each current value can be processed to obtain the current characteristics.

[0068] Step S2: calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics.

[0069] Specifically, numerical calculations may be performed on the environmental output characteristics, electrical characteristics, and current characteristics to calculate the identification value of the generator to be identified.

[0070] The identification value can be used to indicate whether the generator to be identified is a new energy generator.

[0071] Step S3: Based on the identification value, evaluate the power generation type of the generator to be identified.

[0072] Specifically, it can be evaluated whether the generator to be identified is a new energy generator based on the size of the discrimination value;

[0073] When it is determined that the generator to be identified is a new energy generator, its power generation type is distinguished as photovoltaic power generation or wind power generation based on the environmental output characteristics.

[0074] It can be seen from the above technical solutions that the power generation type judgment method provided by the present application can collect the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified; based on the environmental output characteristics, electrical characteristics and current characteristics, the identification value of the generator to be identified is calculated; since the new energy generator is a power electronic device, the harmonic distortion rate in its electrical characteristics is relatively high, while the synchronous generator usually does not have a harmonic distortion rate; and considering that there may be a certain current amplitude when the new energy generator is reversely overloaded, but the synchronous generator does not generate electricity even when it is reversely overloaded, and the current amplitude is 0; at the same time, it is also considered that the new energy The output of the source generator is greatly affected by the environment. For example, when the wind is strong, the output of the wind generator is greater, and when the sunshine is strong, the output of the photovoltaic generator is greater. The output of the traditional generator is not affected by the environment. Therefore, the electrical characteristics, environmental output characteristics and current characteristics of generators of different power generation types are quite different. The discrimination value calculated by this application in combination with the environmental output characteristics, electrical characteristics and current characteristics is highly reliable. Subsequently, based on the discrimination value, the power generation type of the generator to be identified is evaluated. Based on this, this application can comprehensively identify the power generation type of the generator by combining the electrical characteristics, environmental output characteristics and current characteristics. It can be seen that this application can comprehensively identify the power generation type of the generator by combining multiple feature dimensions, further improving the reliability and accuracy of the identification.

[0075] In some embodiments of the present application, the process of step S1, collecting the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified, is described in detail, and the steps are as follows:

[0076] S10: Acquire the harmonic distortion rate sequence of the generator to be identified.

[0077] Specifically, the harmonic distortion rate of the generator to be identified at each sampling moment can be obtained;

[0078] Each sampling moment can be set according to actual needs. For example, each hour of the day can be determined as a sampling moment.

[0079] The individual harmonic distortion rates may constitute a harmonic distortion rate sequence.

[0080] S11. Calculate the electrical characteristics of the generator to be identified based on the harmonic distortion rate sequence.

[0081] Specifically, the harmonic average value of each harmonic distortion rate in the harmonic distortion rate sequence may be calculated.

[0082] S12. Acquire current characteristics of the generator to be identified when the distribution transformer is reversely overloaded.

[0083] Specifically, the output current value of the generator to be identified when the distribution transformer is reversely overloaded may be obtained.

[0084] S13, obtaining a power value sequence of the generator to be identified under different environments.

[0085] Specifically, the power threshold of the generator to be identified may be calculated, each power value less than the power threshold may be removed, and each power value obtained after the removal and its corresponding environmental characteristic value may be combined into a power sequence value.

[0086] The power threshold of the generator to be identified is equal to the product of 5% and the rated power of the generator to be identified.

[0087] The power sequence value is composed of each power value exceeding the power threshold and its corresponding environmental characteristic value.

[0088] S14. Calculate the environmental output characteristics of the generator to be identified based on the power value sequence.

[0089] Specifically, the power standard deviation of each power value in the power sequence value may be calculated.

[0090] The data with the largest value among the harmonic average value, power standard deviation and output current value is selected as the maximum value, and the data with the smallest value among the harmonic average value, power standard deviation and output current value is selected as the minimum value.

[0091] Based on the maximum value and the minimum value, the harmonic average value, the power standard deviation and the output current value are normalized, the normalized harmonic average value is the electrical characteristic, the normalized output current value is the current characteristic, and the normalized standard deviation and power sequence value constitute the environmental output characteristic.

[0092] The normalization formula is as follows:

[0093]

[0094] In the formula, x max is the maximum value; x min is the minimum value; is the i-th measurement value; is the i-th eigenvalue.

[0095] For electrical characteristics, is the current characteristic, is the normalized standard deviation.

[0096] It can be seen from the above technical solution that this embodiment provides an optional method for collecting the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified. Through the above method, characteristic values ​​covering multiple aspects such as electrical characteristics, dynamic behavior characteristics, and operating environment influences can be collected to comprehensively reflect the status of the generator and further improve the identification reliability of this application.

[0097] In some embodiments of the present application, the process of calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics in step S2 is described in detail, and the steps are as follows:

[0098] S20, performing difference emphasis processing on the electrical characteristics to calculate electrical values.

[0099] Specifically, the electrical value may be calculated based on an electrical processing function for emphasizing the difference in high harmonic values.

[0100] The electrical processing function is as follows:

[0101]

[0102] In the formula, Can be an electrical value.

[0103] S21, performing low-value difference amplification processing on the current characteristics to calculate and obtain the current value.

[0104] Specifically, the current value may be calculated based on a current processing function for amplifying the difference between low values.

[0105] The current processing function can be as follows:

[0106]

[0107] In the formula, Can be a current value.

[0108] S22, performing standard deviation amplification processing on the environmental output characteristics to calculate the output value.

[0109] Specifically, the output value may be calculated based on an output processing function that amplifies a high standard deviation value.

[0110] The output processing function can be as follows:

[0111]

[0112] In the formula, Can be output value.

[0113] S23. Calculate the identification value of the generator to be identified based on the electrical characteristics, the current characteristics, the environmental output characteristics, the electrical value, the current value and the output value.

[0114] Specifically, the electrical characteristics, the current characteristics, the environmental output characteristics, the electrical value, the current value and the output value may be combined to calculate the identification value of the generator to be identified.

[0115] It can be seen from the above technical solution that this embodiment provides an optional way to calculate the discrimination value. Through the above method, the difference between high harmonic values ​​can be emphasized through a polynomial function; the difference between low values ​​can be amplified through a logarithmic transformation; the influence of high standard deviation values ​​can be amplified through an exponential function, thereby further improving the reliability of the discrimination value of this application.

[0116] In some embodiments of the present application, the process of calculating the identification value of the generator to be identified based on the electrical characteristics, the current characteristics, the environmental output characteristics, the electrical value, the current value and the output value in step S23 is described in detail, and the steps are as follows:

[0117] S230, fusing the electrical feature and the current feature to obtain a first fused feature.

[0118] Specifically, the product obtained by multiplying the electrical feature and the current feature can be used as the first fusion feature.

[0119] S231. Fusing the environmental output feature and the current feature to obtain a second fused feature.

[0120] Specifically, the product of the normalized standard deviation in the environmental output feature and the current feature may be used as the second fusion feature.

[0121] S232: Fusing the electrical feature and the environmental output feature to obtain a third fused feature.

[0122] Specifically, the product obtained by multiplying the normalized standard deviations of the electrical feature and the environmental output feature can be used as the third fusion feature.

[0123] S233, performing numerical calculations on the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value, and the output value to calculate a recognition value of the generator to be identified.

[0124] Specifically, the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value and the output value may be operated to calculate the identification value of the generator to be identified.

[0125] It can be seen from the above technical solution that this embodiment provides an optional method for calculating the discrimination value. Through the above method, each feature value can be fused pairwise and then the discrimination value can be calculated, which can capture the correlation and complementarity between different feature values; in the process of pairwise fusion, the first fusion feature can amplify the feature difference between the new energy generator and the traditional generator; the second fusion feature can capture the dynamic characteristics of the generator to be identified; the third fusion feature can clearly reflect the fluctuation characteristics of the generator to be identified, and further improve the accuracy of the discrimination results of this application.

[0126] In some embodiments of the present application, the process of performing numerical calculation on the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value and the output value to calculate the identification value of the generator to be identified is described in detail, and the steps are as follows:

[0127] S2330. Calculate, by using the analytic hierarchy process, the third weight of the environmental output characteristic matching, the first weight of the electrical characteristic matching, and the second weight of the current characteristic matching.

[0128] Specifically, the environmental output characteristics, electrical characteristics, and current characteristics can be compared in pairs to construct a judgment matrix;

[0129] The maximum eigenvalue of the judgment matrix can be calculated, and each eigenvector corresponding to the maximum eigenvalue can be calculated;

[0130] The third weight of the environmental output feature matching, the first weight of the electrical feature matching, and the second weight of the current feature matching may be selected from each feature vector.

[0131] The individual eigenvectors can be expressed as follows:

[0132]

[0133] In the formula, r ij is the ratio of the importance of the i-th feature to the j-th feature.

[0134] S2331. Calculate a first fusion weight of the first fusion feature matching, a second fusion weight of the second fusion feature matching, and a third fusion weight of the third fusion feature matching.

[0135] Specifically, the first fusion weight of the first fusion feature matching, the second fusion weight of the second fusion feature matching, and the third fusion weight of the third fusion feature matching may be calculated in a variety of ways.

[0136] For example, based on the hierarchical analysis method, the first fusion weight of the first fusion feature matching, the second fusion weight of the second fusion feature matching, and the third fusion weight of the third fusion feature matching can be calculated; or based on the third weight, the first weight and the second weight, the first fusion weight of the first fusion feature matching, the second fusion weight of the second fusion feature matching, and the third fusion weight of the third fusion feature matching can be calculated.

[0137] S2332. Based on the environmental output characteristics and the third weight of their matching, the electrical characteristics and the first weight of their matching, the current characteristics and the second weight of their matching, the first fusion characteristics and the first fusion weight of their matching, the second fusion characteristics and the second fusion weight of their matching, and the third fusion characteristics and the third fusion weight of their matching, the identification value of the generator to be identified is calculated.

[0138] Specifically, the first product between the environmental output feature and its matching third weight, the second product between the electrical feature and its matching first weight, the third product between the current feature and its matching second weight, the fourth product between the first fusion feature and its matching first fusion weight, the fifth product between the second fusion feature and its matching second fusion weight, and the sixth product between the third fusion feature and its matching third fusion weight can be added, and the added result is the identification value.

[0139] The discriminant value calculation function can be shown as follows:

[0140]

[0141] In the formula, is the discrimination value; is the electrical characteristic; is the first weight; is the second weight; is the third weight; is the first fusion weight; is the second fusion weight; is the third fusion weight; is the current characteristic, is the normalized standard deviation.

[0142] It can be seen from the above technical solution that the present application also provides an optional method for calculating the discrimination value. Through the above method, each feature value can be fused through weights to further improve the accuracy of the present application.

[0143] In some embodiments of the present application, step S2331, a process of calculating a first fusion weight of the first fusion feature matching, a second fusion weight of the second fusion feature matching, and a third fusion weight of the third fusion feature matching is described in detail, and the steps are as follows:

[0144] S23310. Perform weight fusion on the first weight and the second weight to calculate the first fusion weight.

[0145] Specifically, the product obtained by multiplying the first weight, the second weight and a preset ratio parameter can be used as the first fusion weight.

[0146] S23311. Perform weight fusion on the third weight and the second weight to calculate the second fusion weight.

[0147] Specifically, the product obtained by multiplying the third weight, the second weight and a preset ratio parameter can be used as the second fusion weight.

[0148] S23312. Perform weight fusion on the third weight and the first weight to calculate the third fusion weight.

[0149] Specifically, the product obtained by multiplying the third weight, the first weight and a preset ratio parameter can be used as the second fusion weight.

[0150] The scale parameter may be set according to actual conditions. Generally, the value range of k may be [0.75, 1].

[0151] It can be seen from the above technical solution that this embodiment provides an optional method for calculating the fusion weight. The above method can better calculate the fusion weight and improve the reliability of this application.

[0152] In some embodiments of the present application, step S3, the process of evaluating the power generation type of the generator to be identified based on the identification value, is described in detail, and the steps are as follows:

[0153] S30: Obtain a preset first recognition threshold and a second recognition threshold, wherein the first recognition threshold is smaller than the second recognition threshold.

[0154] Specifically, the first recognition threshold and the second recognition threshold may be set according to actual needs, wherein the first recognition threshold is smaller than the second recognition threshold.

[0155] It is also possible to collect environmental output characteristics and current characteristics of multiple new energy generators, use the above-mentioned discrimination value calculation function to calculate the discrimination value of each new energy generator, and use the average value of each new energy generator as the second recognition threshold.

[0156] The output characteristics and current characteristics of multiple synchronous generators are collected, and the discrimination value of each synchronous generator is calculated using the above-mentioned discrimination value calculation function, and the average value of each synchronous generator is used as the first recognition threshold.

[0157] S31. When the identification value is less than the first identification threshold, confirm that the power generation type of the generator to be identified is thermal power generation.

[0158] Specifically, if the identification value is less than the first identification threshold, it is confirmed that the power generation type of the generator to be identified is thermal power generation.

[0159] S32: When the identification value is greater than the second identification threshold, confirm that the generator to be identified is a new energy generator.

[0160] Specifically, if the identification value is greater than the second identification threshold, it is confirmed that the generator to be identified is a new energy generator.

[0161] If the identification value is greater than the first recognition threshold and less than the second recognition threshold, step S1 is executed again.

[0162] S33: When it is confirmed that the generator to be identified is a new energy generator, based on the environmental output characteristics, the power generation type of the generator to be identified is evaluated.

[0163] Specifically, if the generator to be identified is a new energy generator, it can be evaluated based on the environmental output characteristics whether the power generation type of the generator to be identified is wind power generation or photovoltaic power generation.

[0164] It can be seen from the above technical solution that this embodiment provides an optional method for evaluating the power generation type based on the identification value, and the above method can further improve the identification accuracy of the present application.

[0165] In some embodiments of the present application, step S33, when confirming that the generator to be identified is a new energy generator, the process of evaluating the power generation type of the generator to be identified based on the environmental output characteristics is described in detail, and the steps are as follows:

[0166] S330: Based on the environmental output characteristics, evaluate a first correlation between sunshine hours and the output of the generator to be identified and a second correlation between wind intensity and the output of the generator to be identified.

[0167] Specifically, the first correlation for indicating the influence of sunshine hours on the output of the generator to be identified may be calculated with reference to the power value sequence in the environmental output feature.

[0168] The second correlation for indicating the influence of wind intensity on the output of the generator to be identified may be calculated with reference to the power value sequence in the environmental output feature.

[0169] The first correlation and the second correlation can be calculated in a variety of ways. For example, the sunshine hours can be determined based on the sunshine intensity in the environmental characteristic value, and the sunshine intensity, sunshine hours and their corresponding power values ​​can be substituted into a preset correlation function to calculate the first correlation; the wind intensity in the environmental characteristic value and its corresponding power value can be substituted into a preset correlation function to calculate the second correlation. The sunshine hours can also be determined based on the sunshine intensity in the environmental characteristic value, and the sunshine intensity, sunshine hours and their corresponding power values ​​can be substituted into a preset calculation model to calculate the first correlation; the wind intensity in the environmental characteristic value and its corresponding power value can be substituted into a preset calculation model to calculate the second correlation.

[0170] S331. When the first correlation is less than the second correlation, determine that the power generation type of the generator to be identified is wind power generation.

[0171] Specifically, if the first correlation is smaller than the second correlation, it can be determined that the power generation type of the generator to be identified is wind power generation.

[0172] S332: When the first correlation is greater than the second correlation, determine that the power generation type of the generator to be identified is photovoltaic power generation.

[0173] Specifically, if the first correlation is greater than the second correlation, it can be determined that the power generation type of the generator to be identified is photovoltaic power generation.

[0174] If the first correlation is equal to the second correlation, the process reenters step S1.

[0175] It can be seen from the above technical solution that the present application provides an optional method for determining the power generation type of a new energy generator. Through the above method, the present application can determine the power generation type when determining that the generator to be identified is a new energy generator, thereby further improving the accuracy of the identification result.

[0176] Next, we will combine Figure 2 The power generation type determination device provided in the present application is introduced in detail. The power generation type determination device provided below can be compared with the power generation type determination method provided above.

[0177] See also Figure 2 It can be found that the power generation type determination device may include:

[0178] The acquisition module 10 is used to acquire the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified;

[0179] A calculation module 20, configured to calculate the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics;

[0180] The evaluation module 30 is used to evaluate the power generation type of the generator to be identified based on the identification value.

[0181] Furthermore, the acquisition module may include:

[0182] A first acquisition unit, used for acquiring a harmonic distortion rate sequence of the generator to be identified;

[0183] A second acquisition unit, configured to calculate the electrical characteristics of the generator to be identified based on the harmonic distortion rate sequence;

[0184] A third acquisition unit is used to obtain the current characteristics of the generator to be identified when the distribution transformer is reversely overloaded;

[0185] A fourth acquisition unit, used to obtain a power value sequence of the generator to be identified under different environments;

[0186] The fifth acquisition unit is used to calculate the environmental output characteristics of the generator to be identified based on the power value sequence.

[0187] Furthermore, the calculation module may include:

[0188] An electrical value calculation unit, used for performing difference emphasis processing on the electrical characteristics to calculate the electrical value;

[0189] A current value calculation unit, used for performing low-value difference amplification processing on the current characteristics to calculate the current value;

[0190] An output value calculation unit, used for performing standard deviation amplification processing on the environmental output characteristics to calculate the output value;

[0191] The identification value calculation unit is used to calculate the identification value of the generator to be identified based on the electrical characteristics, the current characteristics, the environmental output characteristics, the electrical value, the current value and the output value.

[0192] Further, the discrimination value calculation unit may include:

[0193] A first fusion feature calculation subunit, used for performing feature fusion on the electrical feature and the current feature to obtain a first fusion feature;

[0194] A second fusion feature calculation subunit is used to fuse the environmental output feature and the current feature to obtain a second fusion feature;

[0195] A third fusion feature calculation subunit is used to fuse the electrical feature and the environmental output feature to obtain a third fusion feature;

[0196] The fusion feature operation subunit is used to perform numerical operations on the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value and the output value to calculate the identification value of the generator to be identified.

[0197] Furthermore, the fusion feature operation subunit may include:

[0198] A weight calculation component, used to calculate the third weight of the environmental output feature matching, the first weight of the electrical feature matching and the second weight of the current feature matching by using a hierarchical analysis method;

[0199] A fusion weight calculation component, used to calculate a first fusion weight of the first fusion feature matching, a second fusion weight of the second fusion feature matching, and a third fusion weight of the third fusion feature matching;

[0200] The fusion weight utilization calculation component is used to calculate the identification value of the generator to be identified based on the environmental output feature and its matching third weight, the electrical feature and its matching first weight, the current feature and its matching second weight, the first fusion feature and its matching first fusion weight, the second fusion feature and its matching second fusion weight, and the third fusion feature and its matching third fusion weight.

[0201] Furthermore, the fusion weight calculation component may include:

[0202] A first fusion weight calculation subcomponent is used to perform weight fusion on the first weight and the second weight to calculate the first fusion weight;

[0203] A second fusion weight calculation subcomponent is used to perform weight fusion on the third weight and the second weight to calculate the second fusion weight;

[0204] The third fusion weight calculation subcomponent is used to perform weight fusion on the third weight and the first weight to calculate the third fusion weight.

[0205] Further, the assessment module may include:

[0206] An identification threshold acquisition unit, used to acquire a preset first identification threshold and a second identification threshold, wherein the first identification threshold is smaller than the second identification threshold;

[0207] a generator identification unit, configured to confirm that the power generation type of the generator to be identified is thermal power generation when the identification value is less than the first identification threshold; and to confirm that the generator to be identified is a new energy generator when the identification value is greater than the second identification threshold;

[0208] The power generation type evaluation unit is used to evaluate the power generation type of the generator to be identified based on the environmental output characteristics when confirming that the generator to be identified is a new energy generator.

[0209] Further, the power generation type assessment unit may include:

[0210] A correlation calculation component, used for evaluating a first correlation between sunshine hours and the output of the generator to be identified and a second correlation between wind intensity and the output of the generator to be identified based on the environmental output characteristics;

[0211] A correlation comparison component is used to determine that the power generation type of the generator to be identified is wind power generation when the first correlation is less than the second correlation; and to determine that the power generation type of the generator to be identified is photovoltaic power generation when the first correlation is greater than the second correlation.

[0212] The power generation type determination device provided in the embodiment of the present application can be applied to power generation type determination equipment, such as PC terminals, cloud platforms, servers and server clusters. Figure 3 The hardware structure diagram of the power generation type judgment device is shown. Figure 3 , the hardware structure of the power generation type judgment device may include: at least one processor 1, at least one communication interface 2, at least one memory 3 and at least one communication bus 4;

[0213] In the embodiment of the present application, the number of the processor 1, the communication interface 2, the memory 3, and the communication bus 4 is at least one, and the processor 1, the communication interface 2, and the memory 3 communicate with each other through the communication bus 4;

[0214] The processor 1 may be a central processing unit CPU, or an application-specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention, etc.;

[0215] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), etc., such as at least one disk memory;

[0216] The memory stores a program, and the processor can call the program stored in the memory, wherein the program is used to:

[0217] Collect the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified;

[0218] Calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics;

[0219] Based on the identification value, the power generation type of the generator to be identified is evaluated.

[0220] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0221] The embodiment of the present application further provides a readable storage medium, which may store a program suitable for execution by a processor, wherein the program is used to:

[0222] Collect the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified;

[0223] Calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics;

[0224] Based on the identification value, the power generation type of the generator to be identified is evaluated.

[0225] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0226] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0227] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0228] The above description of the disclosed embodiments enables professionals and technicians in the field to implement or use the present application. Various modifications to these embodiments will be apparent to professionals and technicians in the field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. The various embodiments of the present application can be combined with each other. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining a power generation type, characterized in that: include: Collect the environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified; Calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics; Based on the identification value, the power generation type of the generator to be identified is evaluated.

2. The method for determining the power generation type according to claim 1, characterized in that: The calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics includes: Performing differential emphasis processing on the electrical characteristics to calculate electrical values; Performing low-value difference amplification processing on the current characteristics to calculate the current value; Performing standard deviation amplification processing on the environmental output characteristics to calculate the output value; Based on the electrical characteristics, the current characteristics, the environmental output characteristics, the electrical value, the current value and the output value, an identification value of the generator to be identified is calculated.

3. The method for determining the power generation type according to claim 2, characterized in that: Based on the electrical characteristics, the current characteristics, the environmental output characteristics, the electrical value, the current value and the output value, the identification value of the generator to be identified is calculated, including: Fusing the electrical feature and the current feature to obtain a first fused feature; Performing feature fusion on the environmental output feature and the current feature to obtain a second fusion feature; Fusing the electrical feature and the environmental output feature to obtain a third fused feature; Numerical calculation is performed on the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value and the output value to calculate and obtain the identification value of the generator to be identified.

4. The method for determining the power generation type according to claim 3, characterized in that: Numerical calculation is performed on the first fusion feature, the second fusion feature, the third fusion feature, the electrical value, the current value, and the output value to calculate the identification value of the generator to be identified, including: Using a hierarchical analysis method, a first weight of the electrical feature matching, a second weight of the current feature matching, and a third weight of the environmental output feature matching are calculated; Calculating a first fusion weight of the first fusion feature matching, a second fusion weight of the second fusion feature matching, and a third fusion weight of the third fusion feature matching; Based on the electrical feature and its matching first weight, the current feature and its matching second weight, the environmental output feature and its matching third weight, the first fusion feature and its matching first fusion weight, the second fusion feature and its matching second fusion weight, and the third fusion feature and its matching third fusion weight, the identification value of the generator to be identified is calculated.

5. The method for determining the power generation type according to claim 4, characterized in that: The calculating the first fusion weight of the first fusion feature matching, the second fusion weight of the second fusion feature matching, and the third fusion weight of the third fusion feature matching includes: Performing weight fusion on the first weight and the second weight to calculate and obtain the first fusion weight; Performing weight fusion on the third weight and the second weight to calculate and obtain the second fusion weight; The third weight and the first weight are weight-fused to obtain the third fused weight.

6. The method for determining the power generation type according to claim 1, characterized in that: The collecting of environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified includes: Acquiring a harmonic distortion rate sequence of the generator to be identified; Calculating the electrical characteristics of the generator to be identified based on the harmonic distortion rate sequence; Acquiring current characteristics of the generator to be identified when the distribution transformer is reversely overloaded; Acquire a power value sequence of the generator to be identified under different environments; Based on the power value sequence, the environmental output characteristics of the generator to be identified are calculated.

7. The method for determining the power generation type according to any one of claims 1 to 6, characterized in that: The step of evaluating the power generation type of the generator to be identified based on the identification value includes: Obtaining a preset first recognition threshold and a second recognition threshold, wherein the first recognition threshold is smaller than the second recognition threshold; When the identification value is less than the first identification threshold, confirming that the power generation type of the generator to be identified is thermal power generation; When the identification value is greater than the second identification threshold, confirming that the generator to be identified is a new energy generator; When it is confirmed that the generator to be identified is a new energy generator, the power generation type of the generator to be identified is evaluated based on the environmental output characteristics.

8. The method for determining the power generation type according to claim 7, characterized in that: The step of evaluating the power generation type of the generator to be identified based on the environmental output characteristics includes: Based on the environmental output characteristics, evaluating a first correlation between sunshine hours and the output of the generator to be identified and a second correlation between wind intensity and the output of the generator to be identified; When the first correlation is less than the second correlation, determining that the power generation type of the generator to be identified is wind power generation; When the first correlation is greater than the second correlation, it is determined that the power generation type of the generator to be identified is photovoltaic power generation.

9. A device for determining the type of power generation, characterized in that: include: A collection module, used to collect environmental output characteristics, electrical characteristics and current characteristics of the generator to be identified; A calculation module, used for calculating the identification value of the generator to be identified based on the environmental output characteristics, electrical characteristics and current characteristics; An evaluation module is used to evaluate the power generation type of the generator to be identified based on the identification value.

10. A device for determining the type of power generation, characterized in that: including memory and processor; The memory is used to store programs; The processor is used to execute the program to implement each step of the power generation type determination method as described in any one of claims 1-8.

11. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the method for determining the power generation type according to any one of claims 1 to 8 is implemented.

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