Photovoltaic power station multi-data-source electric quantity correction module and correction method

Abstract

The invention provides a photovoltaic power station multi-data-source electric quantity correction module and correction method. The correction module comprises a multi-source data acquisition module, a priority ranking module, a slicing module and a data source selection module. The multi-source data acquisition module, the priority ranking module, the slicing module and the data source selection module are connected in sequence. According to the method, by introducing a logic isolation mechanism of a time window and combining the characteristics of multiple data sources, time-sharing fusion calculation for different configurations and data sources is realized, the problem of data inconsistency can be effectively solved, and the accuracy of electric quantity calculation is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power stations, and in particular to the technical field of power correction of photovoltaic power stations. Background Art

[0002] With the expansion of photovoltaic power stations and the complexity of energy management, the calculation of electricity in photovoltaic storage charging stations has become increasingly important. However, the acquisition of electricity data usually relies on multiple different data sources, such as converters, meters, sensors, etc. Due to differences in accuracy, acquisition time and data quality, these devices face many challenges in terms of consistency, effectiveness and accuracy of electricity data. In addition, when dealing with electricity calculations from multiple data sources, the existing technology cannot effectively realize the flexible selection and verification of different time periods and different devices, resulting in large errors in the data processing process. To this end, a method for calculating electricity that can combine multiple data sources and provide flexible configuration and verification mechanisms is needed to improve the operational efficiency and economic benefits of photovoltaic storage charging stations. Summary of the invention

[0003] The present invention provides a photovoltaic power station multi-data source power correction module and correction method, which effectively solves the calculation problems of consistency, effectiveness and accuracy of multiple data sources.

[0004] In one aspect, the present invention provides a photovoltaic power station multi-data source power correction module, comprising a multi-source data acquisition module, a priority sorting module, a slicing module and a data source selection module; the multi-source data acquisition module, the priority sorting module, the slicing module and the data source selection module are connected in sequence;

[0005] The multi-source data acquisition module is further connected to multiple data sources, and the data sources provide first power data; the first power data includes one or more of the charging amount, discharging amount, purchased amount and generated amount of the photovoltaic power station;

[0006] The multi-source data acquisition module is used to acquire the first power data from at least two of the data sources;

[0007] The priority sorting module is used to sort the data sources providing the first power data according to their priorities;

[0008] The slicing module is used to aggregate the first power data according to the time window;

[0009] The data source selection module is used to screen the data source of the data in each time window according to the sorting result of the priority sorting module, obtain the optimal data source with the highest priority, and use the first power data provided by the optimal data source as the actual value in a single time window.

[0010] Furthermore, the priority sorting module sorts the data sources providing the first power data according to their priorities, specifically by sorting the data sources according to one or more factors of accuracy, reliability, precision and timeliness.

[0011] Furthermore, the priority sorting module automatically sorts the data sources.

[0012] Furthermore, the priority sorting module also includes a manual module for manually sorting the data sources.

[0013] Furthermore, a single time window includes a time period of M minutes, where M is a positive integer.

[0014] Furthermore, it also includes an electricity calculation module, which is configured to be connected to the data source selection module, and is used to calculate second electricity data of the photovoltaic power station in each of the time windows based on the first electricity data provided by the optimal data source, wherein the second electricity data includes one or more of online electricity, offline electricity, user electricity consumption, power generation load electricity, power generation charging electricity and power generation grid-connected electricity.

[0015] Furthermore, it also includes an abnormality checking and time-sharing correction module, which is configured to be connected to the power calculation module and is used to perform abnormal data checking and correction on the second power data in each of the time windows.

[0016] On the other hand, the present invention also provides a method for correcting the power of multiple data sources in a photovoltaic power station using the correction module, comprising the following steps:

[0017] Step 1: Acquire first power data from multiple data sources;

[0018] Step 2: sorting the data sources according to priority;

[0019] Step 3: Aggregate the first power data according to the time window;

[0020] Step 4: For the data sources within a single time window, filter them according to the sorting result of step 2 to obtain the optimal data source with the highest priority;

[0021] Step 5: Taking the first electricity data provided by the optimal data source as the actual electricity data within the time window.

[0022] Step 6: traverse other time windows and repeat steps 4 to 5 to obtain the actual power data corresponding to each time window.

[0023] Furthermore, the method further includes step seven, in each of the time windows, calculating second power data of the photovoltaic power station according to the actual power data.

[0024] Furthermore, the method also includes step eight of performing abnormality checking and correction on the second electrical quantity data in each time window.

[0025] Compared with the prior art, the present invention has the following advantages:

[0026] This application introduces a logical isolation mechanism of time windows and combines the characteristics of multiple data sources to achieve time-sharing fusion calculations for different configurations and data sources, and to achieve isolation and correction of data in different time periods. It can effectively solve the problem of data inconsistency and significantly improve the accuracy of power calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 Schematic diagram of the structure of the correction module of this embodiment. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Figure 1 FIG. 1 is a schematic diagram of the correction module structure of this embodiment. Figure 1 As shown, the correction module 10 includes a multi-source data acquisition module 100, a priority sorting module 200, a slicing module 300, a data source selection module 400, a power calculation module 500 and an abnormality check and time-sharing correction module 600;

[0031] Among them, one end of the multi-source data acquisition module 100 is connected to multiple data sources ( Figure 1The first data source 1001, the second data source 1002, the third data source 1003, the fourth data source 1004, the fifth data source 1005, the sixth data source 1006, the seventh data source 1007 and the eighth data source 1008 are connected, and the other end is connected to one end of the priority sorting module 200, the other end of the priority sorting module 200 is connected to one end of the slicing module 300, the other end of the slicing module 300 is connected to the other end of the data source selection module 400, the other end of the data source selection module 400 is connected to one end of the power calculation module 500, and the other end of the power calculation module 500 is connected to one end of the abnormality check and time-sharing correction module 600.

[0032] The multi-source data acquisition module 100 is used to acquire first power data from at least two data sources; the first power data includes one or more of the charging capacity, discharging capacity, and power generation capacity in the purchased power capacity of the photovoltaic power station.

[0033] Optionally, the data source connected to one end of the multi-source data acquisition module 100 is preferably: the first data source 1001 is a local controller, the second data source 1002 is a converter, the third data source 1003 is a gateway table, the fourth data source 1004 is an edge gateway, the fifth data source 1005 is a storage side meter, the sixth data source 1006 is a high-voltage side meter, the seventh data source 1007 is an internal load meter, and the eighth data source 1008 is a photovoltaic side meter.

[0034] It should be noted that the types and quantities of the above data sources are for illustration only and are not limited thereto. They may also be other types of devices or sensors for providing the first electrical quantity data, as well as other quantities, such as three or four.

[0035] The priority sorting module 200 is used to sort the data sources providing the first power data according to their priorities.

[0036] Optionally, the priority ranking module 200 can evaluate the priority of the first data source 1001 to the eighth data source 1008 based on the accuracy, reliability, precision and timeliness of the data source. The evaluation formula can be:

[0037] y=a·X1+b·X2+c·X3+d·X4

[0038] Among them, a, b, c, and d are weight coefficients, X1 represents the accuracy score, X2 is the reliability score, X3 is the precision score, X4 is the timeliness score, and y is the priority score.

[0039] According to the evaluation formula, the priority scores of the first data source 1001 to the eighth data source 1008 are calculated and sorted from high to low according to the scores.

[0040] Optionally, the above-mentioned sorting and screening process can be a pre-set program, which can automatically perform the sorting and screening functions, or the module 2001 can be manually configured to manually sort the priority order of multiple data sources. For example, when a data source includes an energy storage side meter, the energy storage side meter is set as the optimal data source, that is, the data source with the highest priority.

[0041] It should be noted that the above priority evaluation formula is only for illustration and is not limited thereto, and those skilled in the art may adjust the factors and weight coefficients therein according to actual needs.

[0042] The slicing module 300 is used to aggregate the first electricity data according to a time window; wherein the time window is defined as M minutes as a time window, and M is a positive integer.

[0043] The slicing module 300 aggregates the first power data according to the time dimension, and each time window includes the first power data provided by one or more data sources. And in different time windows, the number of data sources may be different. For example, taking five minutes as a time window, there are the first data source 1001 and the second data source 1002 in the first time window, and the first data source 1001, the second data source 1002 and the third data source 1003 in the second time window.

[0044] The data source selection module 400 is used to screen the data sources in each time window to obtain the optimal data source, which is the data source with the highest score in the priority evaluation formula. There may be different optimal data sources in different time windows. For example, there are the first data source 1001 and the second data source 1002 in the first time window, and the first data source 1001, the second data source 1002 and the third data source 1003 in the second time window. Compared with the first time window, the third data source 1003 is added in the second time window, and in the priority sorting module, the priority of the third data source 1003 is higher than that of the second data source 1002, and the second priority 1002 is higher than the first priority 1001. Then, the optimal data source of the first time window is the second data source 1002, and the optimal data source of the second time window is the third data source 1003.

[0045] The power calculation module 500 is used to calculate the second power data of the photovoltaic power station in each time window based on the first power data provided by the optimal data source, wherein the second power data includes one or more of the online power, offline power, user power consumption, power generation load power, power generation charging power and power generation grid-connected power.

[0046] Optionally, the calculation process of the power calculation module 500 on the second power data includes:

[0047] Step S1, using the gateway device as the core, judging the charging and discharging status of the power station;

[0048] Step S2, obtaining the charging amount and discharging amount of the power station through the converter;

[0049] Step S3, obtaining the internal equipment load of the power station through the internal load meter;

[0050] Step S4: Calculate the online and offline power of the photovoltaic power station based on the acquired data, combined with the charge and discharge status, charge amount and discharge amount.

[0051] Step S5, obtaining the purchased electricity amount through the gateway table;

[0052] Step S6: Obtain the purchased electricity amount and the off-grid electricity amount of the photovoltaic power station through S4 and S5, and calculate the user's electricity consumption.

[0053] The abnormality checking and time-sharing correction module 600 is used to check and correct the abnormal data of the second electric quantity data in each time window. The specific abnormality checking method and correction method here adopt the existing technology, which will not be repeated here.

[0054] Optionally, the abnormality checking and time-sharing correction module 600 further includes a manual correction module 6001 for manual checking and correction.

[0055] This embodiment introduces a logical isolation mechanism of time windows and combines the characteristics of multiple data sources to achieve time-sharing fusion calculation for different configurations and data sources. This method can effectively solve the problem of data inconsistency, significantly improve the accuracy of power calculation, and is equipped with a manual data correction tool to achieve isolation and correction of data in different time periods.

[0056] On the other hand, this embodiment also provides a method for correcting the power of multiple data sources in a photovoltaic power station using the correction module, comprising the following steps:

[0057] Step 1: Obtain first power data from multiple data sources.

[0058] Step 2: sort the data sources according to their priorities.

[0059] Step three: aggregate the first electricity quantity data according to the time window.

[0060] Step 4: For the data sources within a single time window, filter them according to the sorting results of step 2 to obtain the optimal data source with the highest priority.

[0061] Step 5: Taking the first power data provided by the optimal data source as the actual power data.

[0062] Step 6: traverse other time windows and repeat steps 4 to 5 to obtain the actual power data corresponding to each time window.

[0063] Optionally, the method further includes step seven, calculating second power data of the photovoltaic power station according to actual power data in each time window.

[0064] Optionally, the method further includes step eight of performing abnormality checking and correction on the second electrical quantity data within each time window.

[0065] The "equal" or "same" or "equal" disclosed in the present invention must take into account the parameter distribution of the project, and the error distribution is within ±30%; the definition of "parallel" of two line segments or two straight lines is that the angle between the two line segments or two straight lines is less than or equal to 45 degrees; the definition of "perpendicular" of two line segments or two straight lines is that the angle between the two line segments or two straight lines is within the range of [60, 120] degrees; the definition of "phase mismatch" also needs to take into account the parameter distribution of the project, and the error distribution of the degree of mismatch is within ±30%. In addition, 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 that there is 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 includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. Without more constraints, an element defined by the phrase "comprising a..." does not exclude the existence of other identical elements in the process, method, article or apparatus comprising the element.

[0066] 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.

[0067] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A photovoltaic power station multi-data source power correction module, characterized in that: include: A multi-source data acquisition module, a priority sorting module, a slicing module and a data source selection module; the multi-source data acquisition module, the priority sorting module, the slicing module and the data source selection module are connected in sequence; The multi-source data acquisition module is further connected to multiple data sources, and the data sources provide first power data; the first power data includes one or more of the charging amount, discharging amount, purchased amount and generated amount of the photovoltaic power station; The multi-source data acquisition module is used to acquire the first power data from at least two of the data sources; The priority sorting module is used to sort the data sources providing the first power data according to their priorities; The slicing module is used to aggregate the first power data according to the time window; The data source selection module is used to screen the data source of the data in each time window according to the sorting result of the priority sorting module, obtain the optimal data source with the highest priority, and use the first power data provided by the optimal data source as the actual value in a single time window.

2. The correction module according to claim 1, characterized in that The priority sorting module sorts the data sources providing the first power data according to their priorities, specifically by sorting the data sources according to one or more factors of accuracy, reliability, precision and timeliness.

3. The correction module according to claim 1, characterized in that: The priority sorting module automatically sorts the data sources.

4. The correction module according to claim 1 or 3, characterized in that: The priority sorting module also includes a manual module for manually sorting the data sources.

5. The correction module according to claim 1, characterized in that: A single time window includes a time period of M minutes, where M is a positive integer.

6. The correction module according to claim 1, characterized in that: It also includes an electricity calculation module, which is configured to be connected to the data source selection module, and is used to calculate second electricity data of the photovoltaic power station in each of the time windows based on the first electricity data provided by the optimal data source, wherein the second electricity data includes one or more of online electricity, offline electricity, user electricity consumption, power generation load electricity, power generation and charging electricity, and power generation and grid-connected electricity.

7. The correction module according to claim 6, characterized in that: It also includes an abnormality checking and time-sharing correction module, which is configured to be connected to the power calculation module and is used to perform abnormal data checking and correction on the second power data in each of the time windows.

8. A method for correcting the quantity of electricity from multiple data sources in a photovoltaic power station using the correction module as described in claims 1-7, characterized in that: The following steps are involved: Step 1: Acquire first power data from multiple data sources; Step 2: sorting the data sources according to priority; Step 3: Aggregate the first power data according to the time window; Step 4: For the data sources within a single time window, filter them according to the sorting result of step 2 to obtain the optimal data source with the highest priority; Step 5: Using the first power data provided by the optimal data source as the actual power data within the time window; Step 6: traverse other time windows and repeat steps 4 to 5 to obtain the actual power data corresponding to each time window.

9. The method for correcting the electric quantity according to claim 8, characterized in that: The method further includes step seven, calculating second power data of the photovoltaic power station according to the actual power data in each of the time windows.

10. The method for correcting electric quantity according to claim 9, characterized in that: The method also includes step eight of performing abnormality checking and correction on the second electrical quantity data in each time window.

Images