Fusion terminal with distributed photovoltaic grid-connected intelligent control function

Abstract

The present invention relates to the field of data processing technology, and in particular to a fusion terminal with distributed photovoltaic grid-connected intelligent control function. The present invention first analyzes the collected relevant data to obtain the overall stability index and total power generation of the power generation group, and obtains the power generation performance index of the power generation group according to the overall stability index and total power generation of the power generation group; then, the predicted power generation performance index of the power generation group is obtained by combining the power generation performance index and the power generation change trend factor of the power generation group, and the power generation quality evaluation value of the power generation group is obtained according to the predicted power generation performance index of the power generation group and the total remaining electric energy of the power generation group; finally, according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system, the distributed photovoltaic power generation system is regulated and controlled for grid-connected decision-making at a future moment. The present invention is more accurate in evaluating the power generation quality of the distributed photovoltaic power generation system, and improves the reliability and accuracy of the distributed photovoltaic power generation group in the grid-connected decision-making process.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a fusion terminal with distributed photovoltaic grid-connected intelligent control function. Background Art

[0002] As a clean energy, solar energy has the advantages of large reserves, wide distribution, and no pollution to the environment. Therefore, the application of photovoltaic energy has been supported and promoted by all sectors of society. In order to more effectively apply the electricity generated by photovoltaic power generation, photovoltaic grid-connected regulation is required, and the electricity is connected to the main power grid or distribution network through the fusion terminal. The terminal device is an intelligent hardware device that combines multiple functions. It is usually used to improve the operating efficiency, stability and intelligent management capabilities of distributed photovoltaic power generation systems when connected to the grid.

[0003] Since distributed photovoltaic power generation systems may be affected by natural conditions such as cloud cover during power generation, the power output of distributed photovoltaic power generation systems is unstable, which in turn reduces the controllability of photovoltaic power generation grid connection. Therefore, it is necessary to accurately evaluate the power generation quality of distributed photovoltaic power generation systems in a timely manner, so as to improve the reliability and accuracy of the photovoltaic grid-connected control fusion terminal in the distributed photovoltaic power generation system grid connection decision-making process.

[0004] Therefore, how to accurately evaluate the power generation quality of distributed photovoltaic power generation systems in order to improve the reliability and accuracy of fusion terminals in the grid-connected decision-making process has become an urgent problem to be solved. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a fusion terminal with distributed photovoltaic grid-connected intelligent control function to solve the problem of how to accurately evaluate the power generation quality of distributed photovoltaic power generation systems to improve the reliability and accuracy of the fusion terminal in the grid-connected decision-making process.

[0006] In an embodiment of the present invention, a fusion terminal with distributed photovoltaic grid-connected intelligent control function is provided, 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, the following method is implemented:

[0007] For any power generation group of the distributed photovoltaic power generation system, at least two types of power data of the power generation group at the current sampling time are obtained, and each type of power data and the historical power data before the current sampling time are respectively used to form a data sequence corresponding to each type of power data;

[0008] According to the data difference of the power data in each data sequence, the overall stability index and the total power generation of the power generation group at the current sampling moment are obtained; according to the overall stability index and the total power generation of the power generation group at the current sampling moment, the power generation performance index of the power generation group at the current sampling moment is obtained; the data sequence corresponding to the power generation group is fused to obtain the power generation change trend factor of the power generation group at the current sampling moment;

[0009] According to the power generation performance index and the power generation change trend factor of the power generation group at the current sampling moment, the power generation performance index of the power generation group at the next sampling moment of the current sampling moment is predicted to obtain the predicted power generation performance index of the power generation group, and the total amount of electric energy remaining of the power generation group at the current sampling moment is obtained; according to the predicted power generation performance index of the power generation group and the total amount of electric energy remaining of the power generation group at the current sampling moment, the power generation quality evaluation value of the power generation group at the current sampling moment is obtained;

[0010] The power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system at the current sampling moment is obtained, and the grid connection decision of the distributed photovoltaic power generation system at a future moment is regulated according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system.

[0011] Preferably, the method for obtaining the overall stability index of the power generation group at the current sampling moment includes:

[0012] For any data sequence, the stability index of the data sequence at the current sampling moment is obtained based on the data difference of the power data in the data sequence, and the stability index of each data sequence corresponding to the power generation group at the current sampling moment is obtained respectively. Based on the stability index of each data sequence corresponding to the power generation group at the current sampling moment, the overall stability index of the power generation group at the current sampling moment is obtained.

[0013] Preferably, obtaining the stability index of the data sequence at the current sampling moment according to the data difference of the power data in the data sequence includes:

[0014] Perform first-order difference processing on the data sequence to obtain a corresponding first-order difference data sequence, obtain the difference data mean of the first-order difference data sequence, obtain the absolute value of the difference between each difference data in the first-order difference data sequence and the difference data mean, respectively, to form a difference absolute value sequence, obtain the difference absolute value mean of the difference absolute value sequence, calculate a first addition result of the difference absolute value mean and a preset value, and obtain the inverse of the first addition result as a stability indicator of the data sequence at the current sampling moment.

[0015] Preferably, obtaining the overall stability index of the power generation group at the current sampling moment according to the stability index of each data sequence corresponding to the power generation group at the current sampling moment includes:

[0016] The product of the stability index of each data sequence corresponding to the power generation group at the current sampling moment is obtained as the overall stability index of the power generation group at the current sampling moment.

[0017] Preferably, obtaining the power generation performance index of the power generation group at the current sampling moment according to the overall stability index and the total power generation of the power generation group at the current sampling moment includes:

[0018] The product of the overall stability index and the total power generation of the power generation group at the current sampling moment is obtained as the power generation performance index of the power generation group at the current sampling moment.

[0019] Preferably, the data sequence corresponding to the power generation group is subjected to data fusion to obtain the power generation change trend factor of the power generation group at the current sampling moment, including:

[0020] The data sequence corresponding to the power generation group includes at least a current data sequence and a voltage data sequence, and the current data sequence and the voltage data sequence corresponding to the power generation group are merged to obtain a power data sequence corresponding to the power generation group;

[0021] For any power data except the last power data in the power data sequence corresponding to the power generation group, obtain the second addition result of the power data at the next sampling moment of the sampling moment where the power data is located and the preset value, calculate the ratio of the power data to the second addition result to obtain the power ratio, obtain the power ratio of each power data except the last power data in the power data sequence respectively, form a power ratio data sequence, obtain the mean of the power ratios in the power ratio data sequence, and use the sum of the corresponding mean and the preset value as the power generation change trend factor of the power generation group at the current sampling moment.

[0022] Preferably, the power generation performance index of the power generation group at the next sampling moment of the current sampling moment is predicted according to the power generation performance index of the power generation group at the current sampling moment and the power generation change trend factor to obtain the predicted power generation performance index of the power generation group, including:

[0023] The product of the power generation performance index of the power generation group at the current sampling moment and the power generation change trend factor is obtained as the predicted power generation performance index of the power generation group.

[0024] Preferably, obtaining the power generation quality evaluation value of the power generation group at the current sampling moment according to the predicted power generation performance index of the power generation group and the total amount of electric energy remaining of the power generation group at the current sampling moment includes:

[0025] The predicted power generation performance index of the power generation group is normalized to obtain a first normalized value, the total amount of electric energy remaining of the power generation group at the current sampling moment is normalized to obtain a second normalized value, the first normalized value and the second normalized value are weightedly summed, and the weighted sum result is used as the power generation quality evaluation value of the power generation group at the current sampling moment.

[0026] Preferably, the power data includes:

[0027] The distributed photovoltaic power generation system includes voltage data and current data converted from solar energy received by solar panels during power generation, as well as AC voltage data generated by the power generation group after conversion through the inverter.

[0028] Preferably, the method of regulating the grid connection decision of the distributed photovoltaic power generation system at a future time according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system includes:

[0029] The power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system is sorted in descending order to form a power generation quality evaluation value sequence, and the grid connection decision of the distributed photovoltaic power generation system at a future moment is regulated according to the power generation quality evaluation value sequence.

[0030] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0031] The present invention aims at any power generation group of a distributed photovoltaic power generation system, obtains at least two kinds of power data of the power generation group at the current sampling moment, and respectively forms a data sequence corresponding to each of the power data with the historical power data before the current sampling moment; according to the data difference of the power data in each of the data sequences, obtains the overall stability index and the total power generation of the power generation group at the current sampling moment, obtains the power generation performance index of the power generation group at the current sampling moment according to the overall stability index and the total power generation of the power generation group at the current sampling moment, performs data fusion on the data sequence corresponding to the power generation group, and obtains the power generation change trend factor of the power generation group at the current sampling moment; according to the power generation group at the current sampling moment, obtains the power generation performance index of the power generation group at the current sampling moment; The power generation performance index and power generation change trend factor at the sampling moment are used to predict the power generation performance index of the power generation group at the next sampling moment of the current sampling moment, obtain the predicted power generation performance index of the power generation group, obtain the total amount of electric energy remaining of the power generation group at the current sampling moment, and obtain the power generation quality evaluation value of the power generation group at the current sampling moment according to the predicted power generation performance index of the power generation group and the total amount of electric energy remaining of the power generation group at the current sampling moment; obtain the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system at the current sampling moment, and according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system, regulate the grid-connected decision of the distributed photovoltaic power generation system at a future moment. The present invention obtains the predicted power generation performance index of the power generation group through the overall stability index of the power generation group and the power generation change trend factor, and then obtains the power generation quality evaluation value of the power generation group according to the predicted power generation performance index of the power generation group and the current storage power of the power generation group. The overall stability index of the power generation group takes into account the power supply of the current power generation group, and the predicted power generation performance index of the power generation group takes into account the stability and durability of the power supply in the subsequent grid-connected process, so that the power generation quality evaluation value of the power generation group is more accurate in evaluating the power generation quality of the distributed photovoltaic power generation system, thereby improving the reliability and accuracy of the distributed photovoltaic power generation group in the grid-connected decision-making process. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0033] Figure 1 It is a method flow chart of a fusion terminal with distributed photovoltaic grid-connected intelligent control function provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0034] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, but should not be understood as limiting the present disclosure.

[0035] It should be noted that the terms "first", "second", etc. in the specification of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure.

[0036] In order to illustrate the technical solution of the present invention, specific embodiments are provided below for illustration.

[0037] See also Figure 1 , is a method flow chart of a fusion terminal with distributed photovoltaic grid-connected intelligent control function provided by the first embodiment of the present invention, such as Figure 1 As shown, the fusion terminal with distributed photovoltaic grid-connected intelligent control function includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the following method is implemented:

[0038] Step S101, for any power generation group of the distributed photovoltaic power generation system, obtain at least two types of power data of the power generation group at the current sampling time, and respectively form a data sequence corresponding to each type of power data with the historical power data before the current sampling time.

[0039] In a distributed photovoltaic power generation system, a voltage acquisition module and a current acquisition module are used to collect power data of photovoltaic panels of each power generation group in the distributed photovoltaic power generation system during the power generation process, and the power data is transmitted to the analysis system of the fusion terminal through a wireless transmission module for subsequent analysis. In this embodiment, the power data includes: voltage data and current data after the solar energy received by the solar panel is converted during the power generation process of the distributed photovoltaic power generation system, and the AC voltage data generated by the power generation group after conversion through the inverter.

[0040] Take a power generation group in a distributed photovoltaic power generation system as an example, with a sampling frequency of 0.2s and the current sampling moment as the last sampling moment, collect the power data of the power generation group within 10 minutes to form a data sequence corresponding to each power data. There is no restriction here and it can be set according to the specific implementation scenario. Among them, the constructed data sequence includes voltage data sequence, current data sequence and AC voltage data sequence.

[0041] Step S102, according to the data difference of the power data in each of the data sequences, the overall stability index and the total power generation of the power generation group at the current sampling moment are obtained, and according to the overall stability index and the total power generation of the power generation group at the current sampling moment, the power generation performance index of the power generation group at the current sampling moment is obtained, and the data sequences corresponding to the power generation group are fused to obtain the power generation change trend factor of the power generation group at the current sampling moment.

[0042] During the power generation process of distributed photovoltaic power generation systems, the temperature and light intensity in the environment may affect the stability and power generation quality of photovoltaic power generation. If the stability of photovoltaic power generation is affected during the power generation process, it may affect the accuracy of the fusion terminal in the distributed photovoltaic power generation system's grid-connected decision-making; at the same time, the repeatedly changing current and voltage during the power generation process of the distributed photovoltaic power generation system will also bring a certain workload to the inverter and other components in the distributed photovoltaic power generation system, resulting in the voltage generated by the inverter being not stable enough, affecting the reliability of subsequent grid connection. Therefore, it is necessary to obtain the overall stability index of the power generation group in the distributed photovoltaic power generation system at the current sampling time, and accurately evaluate the power generation performance of the power generation group at the current sampling time through the overall stability index of the power generation group at the current sampling time.

[0043] The method for obtaining the overall stability index of the power generation group at the current sampling moment includes:

[0044] For any data sequence, the stability index of the data sequence at the current sampling moment is obtained based on the data difference of the power data in the data sequence, and the stability index of each data sequence corresponding to the power generation group at the current sampling moment is obtained respectively. Based on the stability index of each data sequence corresponding to the power generation group at the current sampling moment, the overall stability index of the power generation group at the current sampling moment is obtained.

[0045] First, obtain the stability index of any data sequence in the power generation group at the current sampling time:

[0046] Specifically, first-order difference processing is performed on the data sequence to obtain a corresponding first-order difference data sequence, the difference data mean of the first-order difference data sequence is obtained, the absolute value of the difference between each difference data in the first-order difference data sequence and the difference data mean is obtained respectively to form a difference absolute value sequence, the mean of the difference absolute values ​​of the difference absolute value sequence is obtained, the first addition result of the mean of the difference absolute values ​​and a preset value is calculated, and the inverse of the first addition result is obtained as a stability indicator of the data sequence at the current sampling moment.

[0047] In one embodiment, taking the kth data sequence of the power generation group as an example, the kth data sequence of the power generation group is subjected to first-order difference processing to obtain a first-order difference data sequence, wherein the first-order difference processing belongs to the prior art and will not be described in detail here. According to the first-order difference data sequence, the stability index of the kth data sequence of the power generation group at the current sampling time is calculated:

[0048]

[0049] in, is the stability index of the kth data sequence of the i-th power generation group at the current sampling time; i is the sequence number of the power generation group in the distributed photovoltaic power generation system; k is the sequence number of the data sequence corresponding to the i-th power generation group; is the number of difference data in the first-order difference data sequence; is the sth differential data in the first-order differential data sequence (i.e., the difference between the s+1th power data and the sth power data in the kth data sequence of the i-th power generation group); s is the sequence number of the differential data in the first-order differential data sequence; is the mean of the differential data of the first-order differential data sequence; the preset value c is 0.01, which is not limited here and can be set according to the specific implementation scenario; | | is the absolute value symbol.

[0050] It should be noted that the preset value c is 0.01, which is used to prevent the formula from calculating incorrectly when the formula value is 0; It represents the mean of the sum of the absolute values ​​of the differences between each differential data and the mean of the differential data in the first-order differential data sequence. The smaller the fluctuation of the differential data in the first-order differential data sequence, The smaller it is, the greater the stability index of the kth data sequence of the power generation group at the current sampling moment, indicating that the change of the kth data sequence of the power generation group is more stable; the greater the fluctuation of the differential data in the first-order difference data sequence, The larger it is, the smaller the stability index of the kth data sequence of the power generation group at the current sampling moment is, which means that the change of the kth data sequence of the power generation group is more unstable.

[0051] According to the method for obtaining the stability index of any data sequence in the power generation group at the current sampling moment, the stability index of each data sequence corresponding to the power generation group at the current sampling moment is obtained, and then according to the stability index of each data sequence corresponding to the power generation group at the current sampling moment, the overall stability index of the power generation group at the current sampling moment is obtained, including:

[0052] The product of the stability index of each data sequence corresponding to the power generation group at the current sampling moment is obtained as the overall stability index of the power generation group at the current sampling moment.

[0053] In one embodiment, the overall stability index of the power generation group at the current sampling time is calculated:

[0054]

[0055] in, is the overall stability index of the i-th power generation group at the current sampling time; i is the serial number of the power generation group in the distributed photovoltaic power generation system; is the stability index of the kth data sequence of the ith power generation group at the current sampling moment; n is the number of data sequences corresponding to the ith power generation group; k is the sequence number of the data sequence corresponding to the ith power generation group.

[0056] It should be noted that, in the data sequence corresponding to the i-th power generation group, if the stability index of each data sequence at the current sampling moment increases, the overall stability index of the i-th power generation group at the current sampling moment will increase.

[0057] The power generation performance of the power generation group at the current sampling time is not only related to the overall stability index of the power generation group at the current sampling time, but also to the power generation of the power generation group. Different power generation groups are affected by their distribution positions during the power generation process, resulting in different light intensities received by different power generation groups, which makes the power generation of different power generation groups different. If a power generation group has a high overall stability index during the power generation process, but the total power generation within the selected time range (that is, 10 minutes) is small, then the power generation performance of the power generation group at the current sampling time will also be relatively reduced, resulting in low reliability of the power generation group when connected to the grid. Therefore, it is necessary to accurately evaluate the power generation performance of the power generation group at the current sampling time through the overall stability index of the power generation group at the current sampling time and the total power generation of the power generation group within the selected time range (that is, 10 minutes).

[0058] Specifically, the product of the overall stability index and the total power generation of the power generation group at the current sampling moment is obtained as the power generation performance index of the power generation group at the current sampling moment.

[0059] In one embodiment, the total power generation of the power generation group 10 minutes before the current sampling time including the current sampling time is obtained as the total power generation of the power generation group at the current sampling time, and the power generation performance index of the power generation group at the current sampling time is calculated:

[0060]

[0061] in, is the power generation performance index of the i-th power generation group at the current sampling time; i is the serial number of the power generation group in the distributed photovoltaic power generation system; is the overall stability index of the i-th generating unit at the current sampling moment; is the total power generation of the ith power generation group at the current sampling time (that is, the total power generation within 10 minutes); t is the current sampling time.

[0062] It should be noted that the greater the product of the overall stability index and the total power generation of the power generation group at the current sampling moment, the higher the power generation performance index of the power generation group at the current sampling moment; if the overall stability index of the power generation group at the current sampling moment decreases, or the total power generation of the power generation group at the current sampling moment decreases, the power generation performance index of the power generation group at the current sampling moment will decrease.

[0063] After the power generation unit is connected to the grid, it needs to continuously output energy to the grid. If the overall power generation of the current power generation unit is attenuated, it may affect the reliability and durability of the subsequent grid-connected energy supply. Therefore, it is necessary to analyze the change trend of the power generation of the power generation unit within the selected time range (that is, 10 minutes) and obtain the power generation change trend factor of the power generation unit at the current sampling moment, so as to predict the power generation performance index of the power generation unit at future moments based on the power generation change trend factor, thereby improving the reliability and durability of the power generation unit when providing energy in the grid.

[0064] Among them, obtaining the power generation change trend factor of the power generation group at the current sampling time includes:

[0065] The data sequence corresponding to the power generation group includes at least a current data sequence and a voltage data sequence, and the current data sequence and the voltage data sequence corresponding to the power generation group are merged to obtain a power data sequence corresponding to the power generation group;

[0066] For any power data except the last power data in the power data sequence corresponding to the power generation group, obtain the second addition result of the power data at the next sampling moment of the sampling moment where the power data is located and the preset value, calculate the ratio of the power data to the second addition result to obtain the power ratio, obtain the power ratio of each power data except the last power data in the power data sequence respectively, form a power ratio data sequence, obtain the mean of the power ratios in the power ratio data sequence, and use the sum of the corresponding mean and the preset value as the power generation change trend factor of the power generation group at the current sampling moment.

[0067] In one embodiment, taking the i-th power generation group as an example, according to the current data sequence and voltage data sequence corresponding to the i-th power generation group, the power calculation formula P=U×I (power is the product of voltage and current) is used to merge the current data sequence and voltage data sequence corresponding to the i-th power generation group to obtain the power data sequence corresponding to the i-th power generation group, wherein the power calculation formula belongs to the prior art and is not described in detail here. According to the power data in the power data sequence corresponding to the i-th power generation group, the power generation change trend factor of the i-th power generation group at the current sampling moment is calculated:

[0068]

[0069] in, is the power generation change trend factor of the i-th power generation group at the current sampling time; i is the sequence number of the power generation group in the distributed photovoltaic power generation system; is the number of power data in the power data sequence corresponding to the i-th power generation group; is the jth power data in the power data sequence corresponding to the i-th power generation group; is the j+1th power data in the power data sequence corresponding to the i-th power generation group; j is the sequence number of the power data in the power data sequence; the preset value c is 0.01, which is not limited here and can be set according to the specific implementation scenario.

[0070] It should be noted that the default value c is 0.01. Prevent formula calculation errors when the formula value is 0; It ensures that the power generation change trend factor of the i-th power generation group at the current sampling time is not 0; is the mean of the sum of the ratios between the next power data and the previous power data in the power sequence corresponding to the i-th power generation group, indicating the change trend of the power generation of the i-th power generation group at the current sampling time. The larger the value is, the greater the change trend of the power generation of the i-th power generation group at the current sampling moment is, the greater the power generation change trend factor of the i-th power generation group at the current sampling moment is, and the greater the power generation of the i-th power generation group in the future moment is; The smaller it is, the smaller the change trend of the power generation of the i-th power generation group at the current sampling moment is, the smaller the power generation change trend factor of the i-th power generation group at the current sampling moment is, and the smaller the power generation of the i-th power generation group in the future moment is.

[0071] At this point, the power generation performance index and power generation change trend factor of the i-th power generation group at the current sampling moment can be obtained.

[0072] Step S103, based on the power generation performance index of the power generation group at the current sampling moment and the power generation change trend factor, predict the power generation performance index of the power generation group at the next sampling moment after the current sampling moment, obtain the predicted power generation performance index of the power generation group, obtain the total amount of electric energy remaining of the power generation group at the current sampling moment, and obtain the power generation quality evaluation value of the power generation group at the current sampling moment based on the predicted power generation performance index of the power generation group and the total amount of electric energy remaining of the power generation group at the current sampling moment.

[0073] After obtaining the power generation performance index and power generation change trend factor of the power generation group at the current sampling moment, the power generation performance index of the power generation group at the next sampling moment after the current sampling moment can be predicted using the power generation performance index and power generation change trend factor of the power generation group at the current sampling moment to obtain the predicted power generation performance index of the power generation group.

[0074] Specifically, the product of the power generation performance index of the power generation group at the current sampling moment and the power generation change trend factor is obtained as the predicted power generation performance index of the power generation group.

[0075] In one embodiment, taking the ith power generation group as an example, the predicted power generation performance index of the ith power generation group is calculated:

[0076]

[0077] in, is the predicted power generation performance index of the i-th power generation group; is the power generation performance index of the i-th power generation group at the current sampling moment; is the power generation change trend factor of the i-th power generation group at the current sampling moment; i is the sequence number of the power generation group in the distributed photovoltaic power generation system.

[0078] It should be noted that the larger the power generation performance index of the power generation group at the current sampling moment, the better the power generation performance of the power generation group at the current sampling moment; the larger the power generation change trend factor of the power generation group at the current sampling moment, the greater the change trend of the power generation of the power generation group in the future. Therefore, the larger the product of the power generation performance index of the power generation group at the current sampling moment and the power generation change trend factor, the larger the predicted power generation performance index of the power generation group, and the better the power generation performance of the power generation group in the future.

[0079] When a power generation unit is connected to the grid, it is necessary not only to consider the subsequent continuous energy supply to the grid, but also the total amount of electricity remaining in the power generation unit at the current sampling moment. If the total amount of electricity remaining in the power generation unit at the current sampling moment is too small, it will also affect the stability and durability of energy supply in the subsequent grid connection process. Therefore, it is necessary to evaluate the final power generation quality of the power generation unit in combination with the total amount of electricity remaining in the power generation unit at the current sampling moment and the predicted power generation performance indicators of the power generation unit.

[0080] Obtain the total amount of remaining electric energy of the power generation group at the current sampling time, and obtain the power generation quality evaluation value of the power generation group at the current sampling time according to the predicted power generation performance index of the power generation group and the total amount of remaining electric energy of the power generation group at the current sampling time, including:

[0081] The predicted power generation performance index of the power generation group is normalized to obtain a first normalized value, the total amount of electric energy remaining of the power generation group at the current sampling moment is normalized to obtain a second normalized value, the first normalized value and the second normalized value are weightedly summed, and the weighted sum result is used as the power generation quality evaluation value of the power generation group at the current sampling moment.

[0082] In one implementation, taking the ith power generation group as an example, the power generation quality evaluation value of the ith power generation group at the current sampling time is calculated:

[0083]

[0084] in, is the power generation quality evaluation value of the i-th power generation group at the current sampling time; is the predicted power generation performance index of the i-th power generation group; is the total amount of electric energy remaining in the i-th power generation group at the current sampling moment; i is the sequence number of the power generation group in the distributed photovoltaic power generation system; norm() is the normalization function; the first weight parameter a is preset to 0.7; the second weight parameter b is preset to 0.3, which is not limited here and can be set according to the specific implementation scenario.

[0085] It should be noted that the predicted power generation performance index of the i-th power generation group at the current sampling time is The larger the value, the higher the reliability and durability of the energy supply of the ith power generation group in the subsequent grid connection, corresponding to the power generation quality evaluation value of the ith power generation group at the current sampling time. The larger the value, the better the final power generation quality of the i-th power generation group; the total amount of electric energy remaining in the i-th power generation group at the current sampling time The larger the value, the higher the stability and durability of the energy supply of the ith power generation group in the subsequent grid connection, corresponding to the power generation quality evaluation value of the ith power generation group at the current sampling time. The larger it is, the better the final power generation quality of the i-th power generation group is.

[0086] At this point, the power generation quality evaluation value of the i-th power generation group at the current sampling moment can be obtained.

[0087] Step S104, obtaining the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system at the current sampling moment, and regulating the grid-connected decision of the distributed photovoltaic power generation system at a future moment according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system.

[0088] After obtaining the power generation quality evaluation value of the ith power generation group at the current sampling moment, the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system at the current sampling moment can be obtained according to the method for obtaining the power generation quality evaluation value of the ith power generation group at the current sampling moment, and then according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system at the current sampling moment, the grid-connected decision of the distributed photovoltaic power generation system at the future moment can be regulated.

[0089] Specifically, the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system is sorted in descending order to form a power generation quality evaluation value sequence, and the grid-connected decision of the distributed photovoltaic power generation system at a future moment is regulated according to the power generation quality evaluation value sequence.

[0090] In one embodiment, the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system is sorted in descending order to form a power generation quality evaluation value sequence. When the fusion terminal makes a grid-connected decision, the order of the power generation groups corresponding to the power generation quality evaluation value sequence from high to low and the power generation quality evaluation values ​​are used as the order and weights that the fusion terminal needs to consider in the grid-connected decision-making process at future moments, and the distributed photovoltaic power generation system is regulated in the grid-connected decision at future moments, thereby improving the reliability and accuracy of the distributed photovoltaic power generation group in the grid-connected decision-making process.

[0091] It should be noted that the focus of the embodiments of the present invention is on how to evaluate the power generation quality of each power generation group in the distributed photovoltaic power generation system at the current sampling moment, so as to use the evaluation results as a reference for the grid-connected decision of the fusion terminal, and to regulate the grid-connected decision of the distributed photovoltaic power generation system at future moments according to the power generation quality evaluation value sequence. This belongs to the prior art and will not be described in detail here.

[0092] In summary, this embodiment targets any power generation group of a distributed photovoltaic power generation system, obtains at least two types of power data of the power generation group at the current sampling moment, and respectively forms a data sequence corresponding to each type of power data with the historical power data before the current sampling moment; obtains the overall stability index and the total power generation of the power generation group at the current sampling moment according to the data difference of the power data in each data sequence, obtains the power generation performance index of the power generation group at the current sampling moment according to the overall stability index and the total power generation of the power generation group at the current sampling moment, performs data fusion on the data sequence corresponding to the power generation group, and obtains the power generation change trend factor of the power generation group at the current sampling moment; and Based on the power generation performance index and power generation change trend factor at the current sampling moment, the power generation performance index of the power generation group at the next sampling moment of the current sampling moment is predicted to obtain the predicted power generation performance index of the power generation group, and the total amount of electric energy remaining of the power generation group at the current sampling moment is obtained. According to the predicted power generation performance index of the power generation group and the total amount of electric energy remaining of the power generation group at the current sampling moment, the power generation quality evaluation value of the power generation group at the current sampling moment is obtained; the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system at the current sampling moment is obtained, and according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system, the grid-connected decision of the distributed photovoltaic power generation system at a future moment is regulated. This embodiment obtains the predicted power generation performance index of the power generation group through the overall stability index of the power generation group and the power generation trend factor, and then obtains the power generation quality evaluation value of the power generation group according to the predicted power generation performance index of the power generation group and the current storage power of the power generation group. The overall stability index of the power generation group takes into account the current power supply of the power generation group, and the predicted power generation performance index of the power generation group takes into account the stability and durability of the power supply in the subsequent grid-connected process, so that the power generation quality evaluation value of the power generation group is more accurate in evaluating the power generation quality of the distributed photovoltaic power generation system, thereby improving the reliability and accuracy of the distributed photovoltaic power generation group in the grid-connected decision-making process.

[0093] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A fusion terminal with distributed photovoltaic grid-connected intelligent control function, 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 following method is implemented: For any power generation group of the distributed photovoltaic power generation system, at least two types of power data of the power generation group at the current sampling time are obtained, and each type of power data and the historical power data before the current sampling time are respectively used to form a data sequence corresponding to each type of power data; According to the data difference of the power data in each data sequence, the overall stability index and the total power generation of the power generation group at the current sampling moment are obtained; according to the overall stability index and the total power generation of the power generation group at the current sampling moment, the power generation performance index of the power generation group at the current sampling moment is obtained; the data sequence corresponding to the power generation group is fused to obtain the power generation change trend factor of the power generation group at the current sampling moment; According to the power generation performance index and the power generation change trend factor of the power generation group at the current sampling moment, the power generation performance index of the power generation group at the next sampling moment of the current sampling moment is predicted to obtain the predicted power generation performance index of the power generation group, and the total amount of electric energy remaining of the power generation group at the current sampling moment is obtained; according to the predicted power generation performance index of the power generation group and the total amount of electric energy remaining of the power generation group at the current sampling moment, the power generation quality evaluation value of the power generation group at the current sampling moment is obtained; Obtaining a power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system at a current sampling moment, and regulating the grid connection decision of the distributed photovoltaic power generation system at a future moment according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system; The data sequence corresponding to the power generation group is subjected to data fusion to obtain the power generation change trend factor of the power generation group at the current sampling moment, including: The data sequence corresponding to the power generation group includes at least a current data sequence and a voltage data sequence, and the current data sequence and the voltage data sequence corresponding to the power generation group are merged to obtain a power data sequence corresponding to the power generation group; For any power data except the last power data in the power data sequence corresponding to the power generation group, obtain the second addition result of the power data at the next sampling moment of the sampling moment where the power data is located and the preset value, calculate the ratio of the power data to the second addition result to obtain the power ratio, obtain the power ratio of each power data except the last power data in the power data sequence respectively, form a power ratio data sequence, obtain the mean of the power ratios in the power ratio data sequence, and use the sum of the corresponding mean and the preset value as the power generation change trend factor of the power generation group at the current sampling moment.

2. According to claim 1, a fusion terminal with distributed photovoltaic grid-connected intelligent control function is characterized in that: The method for obtaining the overall stability index of the power generation group at the current sampling moment includes: For any data sequence, the stability index of the data sequence at the current sampling moment is obtained based on the data difference of the power data in the data sequence, and the stability index of each data sequence corresponding to the power generation group at the current sampling moment is obtained respectively. Based on the stability index of each data sequence corresponding to the power generation group at the current sampling moment, the overall stability index of the power generation group at the current sampling moment is obtained.

3. The integrated terminal with distributed photovoltaic grid-connected intelligent control function according to claim 2 is characterized in that: The obtaining, according to the data difference of the power data in the data sequence, a stability index of the data sequence at the current sampling moment, comprises: Perform first-order difference processing on the data sequence to obtain a corresponding first-order difference data sequence, obtain the difference data mean of the first-order difference data sequence, obtain the absolute value of the difference between each difference data in the first-order difference data sequence and the difference data mean, respectively, to form a difference absolute value sequence, obtain the difference absolute value mean of the difference absolute value sequence, calculate a first addition result of the difference absolute value mean and a preset value, and obtain the inverse of the first addition result as a stability indicator of the data sequence at the current sampling moment.

4. The integrated terminal with distributed photovoltaic grid-connected intelligent control function according to claim 2 is characterized in that: The step of obtaining the overall stability index of the power generation group at the current sampling moment according to the stability index of each data sequence corresponding to the power generation group at the current sampling moment comprises: The product of the stability index of each data sequence corresponding to the power generation group at the current sampling moment is obtained as the overall stability index of the power generation group at the current sampling moment.

5. The integrated terminal with distributed photovoltaic grid-connected intelligent control function according to claim 1 is characterized in that: The step of obtaining the power generation performance index of the power generation group at the current sampling moment according to the overall stability index and the total power generation of the power generation group at the current sampling moment includes: The product of the overall stability index and the total power generation of the power generation group at the current sampling moment is obtained as the power generation performance index of the power generation group at the current sampling moment.

6. The integrated terminal with distributed photovoltaic grid-connected intelligent control function according to claim 1, characterized in that: The method of predicting the power generation performance index of the power generation group at the next sampling moment after the current sampling moment according to the power generation performance index of the power generation group at the current sampling moment and the power generation change trend factor to obtain the predicted power generation performance index of the power generation group includes: The product of the power generation performance index of the power generation group at the current sampling moment and the power generation change trend factor is obtained as the predicted power generation performance index of the power generation group.

7. The integrated terminal with distributed photovoltaic grid-connected intelligent control function according to claim 1 is characterized in that: The step of obtaining the power generation quality evaluation value of the power generation group at the current sampling moment according to the predicted power generation performance index of the power generation group and the total amount of electric energy remaining of the power generation group at the current sampling moment comprises: The predicted power generation performance index of the power generation group is normalized to obtain a first normalized value, the total amount of electric energy remaining of the power generation group at the current sampling moment is normalized to obtain a second normalized value, the first normalized value and the second normalized value are weightedly summed, and the weighted sum result is used as the power generation quality evaluation value of the power generation group at the current sampling moment.

8. The integrated terminal with distributed photovoltaic grid-connected intelligent control function according to claim 1, characterized in that: The power data includes: The distributed photovoltaic power generation system includes voltage data and current data converted from solar energy received by solar panels during power generation, as well as AC voltage data generated by the power generation group after conversion through the inverter.

9. The integrated terminal with distributed photovoltaic grid-connected intelligent control function according to claim 1, characterized in that: The method of regulating the grid connection decision of the distributed photovoltaic power generation system at a future time according to the power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system includes: The power generation quality evaluation value of each power generation group in the distributed photovoltaic power generation system is sorted in descending order to form a power generation quality evaluation value sequence, and the grid connection decision of the distributed photovoltaic power generation system at a future moment is regulated according to the power generation quality evaluation value sequence.

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