CN-115271211-B - Method and device for generating power generation data

CN115271211BCN 115271211 BCN115271211 BCN 115271211BCN-115271211-B

Abstract

The disclosure provides a method and a device for generating power generation data, and particularly relates to the technical field of distributed photovoltaic power generation prediction. The method comprises the steps of obtaining target predicted weather data, obtaining first power generation data of the distributed photovoltaic, obtaining second power generation data of the distributed photovoltaic according to the ratio of the first power generation data of the distributed photovoltaic to comparison parameters, and inputting the target predicted weather data and the second power generation data of the distributed photovoltaic into a preset power prediction model to obtain third power generation data of the distributed photovoltaic. The accuracy of the prediction of the distributed photovoltaic power generation amount is improved by the method.

Inventors

TIAN LUN
SUN YUE
BIAN CHUANXIN
ZHANG YING
YANG SHENGWEN

Assignees

北京百度网讯科技有限公司

Dates

Publication Date: 20260508
Application Date: 20220729

Claims (13)

1. A power generation data generation method, comprising: Obtaining target predicted weather data, wherein the target predicted weather data is used for indicating predicted weather data of a future time period adjacent to the current moment; Acquiring first power generation data of distributed photovoltaic, wherein the first power generation data are used for indicating maximum power generation data in a historical first time period adjacent to the current moment; Obtaining second power generation data of the distributed photovoltaic according to the ratio of the first power generation data of the distributed photovoltaic to a comparison parameter, wherein the comparison parameter is used for indicating the ratio of the first power generation data of the centralized photovoltaic to the second power generation data of the centralized photovoltaic, the second power generation data is used for indicating the power generation data of each time point in a historical second time period adjacent to the current moment, and the length of the historical second time period is equal to that of the future time period; And inputting the target predicted weather data and the second power generation data of the distributed photovoltaic into a preset power prediction model to obtain third power generation data of the distributed photovoltaic, wherein the third power generation data is used for indicating the power generation data of the future time period, and the power prediction model is trained based on the predicted weather data marked with the third power generation data and the second power generation data sample.
2. The method of claim 1, wherein the acquiring the first power generation data of the distributed photovoltaic comprises: Based on the performance index data of distributed photovoltaic every day in a historical first time period adjacent to the current moment, determining a first average value of a preset number of minimum values of sunny power generation amounts and a second average value of a preset number of maximum values of non-sunny power generation amounts; And determining the difference value of the first average value and the second average value as first power generation data of the distributed photovoltaic.
3. The method of claim 1, wherein the obtaining target predicted weather data comprises: acquiring real weather data of a historical second time period adjacent to the current moment and first predicted weather data of a future time period adjacent to the current moment; Inputting the real weather data into a preset weather prediction model to obtain second predicted weather data, wherein the preset weather prediction model is obtained based on training of a real weather data sample marked with the second predicted weather data; Correcting the first predicted weather data according to the second predicted weather data to obtain corrected first predicted weather data; And determining target predicted weather data based on the corrected first predicted weather data.
4. The method of claim 3, wherein the corrected first predicted weather data comprises at least two items of weather data, and the determining target predicted weather data based on the corrected first predicted number of days comprises: And determining target predicted weather data according to the at least two weather data and the weight of each weather data in the at least two weather data.
5. The method of any one of claims 1-4, further comprising: And correcting the third power generation data according to the standard power curve of the centralized photovoltaic to obtain target power generation data.
6. A power generation data generation device comprising: A first acquisition module configured to acquire target predicted weather data, wherein the target predicted weather data is used for indicating predicted weather data of a future time period adjacent to a current moment; a second acquisition module configured to acquire first power generation data of the distributed photovoltaic, wherein the first power generation data is used for indicating maximum power generation data in a historical first time period adjacent to a current moment; The data calculation module is configured to obtain second power generation data of the distributed photovoltaic according to the ratio of the first power generation data of the distributed photovoltaic to a comparison parameter, wherein the comparison parameter is used for indicating the ratio of the first power generation data of the centralized photovoltaic to the second power generation data of the centralized photovoltaic, the second power generation data is used for indicating the power generation data of each time point in a historical second time period adjacent to the current moment, and the historical second time period is equal to the future time period in length; the data prediction module is configured to input the target predicted weather data and the second power generation data of the distributed photovoltaic into a preset power prediction model to obtain third power generation data of the distributed photovoltaic, the third power generation data is used for indicating the power generation data of the future time period, and the power prediction model is trained based on the predicted weather data marked with the third power generation data and the second power generation data sample.
7. The apparatus of claim 6, wherein the second acquisition module is further configured to: Based on the performance index data of distributed photovoltaic every day in a historical first time period adjacent to the current moment, determining a first average value of a preset number of minimum values of sunny power generation amounts and a second average value of a preset number of maximum values of non-sunny power generation amounts; And determining the difference value of the first average value and the second average value as first power generation data of the distributed photovoltaic.
8. The apparatus of claim 7, wherein the first acquisition module is further configured to: acquiring real weather data of a historical second time period adjacent to the current moment and first predicted weather data of a future time period adjacent to the current moment; Inputting the real weather data into a preset weather prediction model to obtain second predicted weather data, wherein the preset weather prediction model is obtained based on training of a real weather data sample marked with the second predicted weather data; Correcting the first predicted weather data according to the second predicted weather data to obtain corrected first predicted weather data; And determining target predicted weather data based on the corrected first predicted weather data.
9. The apparatus of claim 8, wherein the corrected first predicted weather data comprises at least two items of weather data, and the determining target predicted weather data based on the corrected first predicted number of days comprises: And determining target predicted weather data according to the at least two weather data and the weight of each weather data in the at least two weather data.
10. The apparatus according to any one of claims 6-9, further comprising: and the correction module is configured to correct the third power generation data according to the standard power curve of the centralized photovoltaic to obtain target power generation data.
11. An electronic device, comprising: At least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
12. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-5.
13. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-5.

Description

Method and device for generating power generation data Technical Field The disclosure relates to the technical field of new energy, in particular to the technical field of distributed photovoltaic power generation prediction, and particularly relates to a power generation data generation method and device. Background With the establishment of an economic system and a clean low-carbon safe and efficient energy system which are developed by the national environment on green low-carbon circulation, the power generation requirement on new energy is higher and higher. At present, a large number of local markets in China have started to build large-scale distributed photovoltaic devices, and the installation quantity is increased. In the prior art, because the distributed photovoltaic device generally records few specific power generation data, the prediction of the future power generation amount is mainly realized through manual estimation. Disclosure of Invention The embodiment of the disclosure provides a method, a device, equipment and a storage medium for generating power generation data. In a first aspect, an embodiment of the disclosure provides a method for generating power generation data, which includes obtaining target predicted weather data, obtaining first power generation data of distributed photovoltaic, obtaining second power generation data of the distributed photovoltaic according to a ratio of the first power generation data of the distributed photovoltaic to a comparison parameter, and inputting the target predicted weather data and the second power generation data of the distributed photovoltaic into a preset power prediction model to obtain third power generation data of the distributed photovoltaic. In a second aspect, an embodiment of the disclosure provides a generating device of generating power data, which includes a first acquiring module configured to acquire target predicted weather data, a second acquiring module configured to acquire first power generation data of distributed photovoltaic, a data calculating module configured to obtain second power generation data of distributed photovoltaic according to a ratio of the first power generation data of the distributed photovoltaic to a comparison parameter, and a data predicting module configured to input the target predicted weather data and the second power generation data of the distributed photovoltaic into a preset power predicting model to obtain third power generation data of the distributed photovoltaic. In a third aspect, an embodiment of the present disclosure provides an electronic device including one or more processors, and a storage device having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the method for generating power generation data as in any of the embodiments of the first aspect. In a fourth aspect, embodiments of the present disclosure provide a computer-readable medium having stored thereon a computer program which, when executed by a processor, implements the power generation data generation method of any of the embodiments of the first aspect. In a fifth aspect, embodiments of the present disclosure provide a computer program product comprising a computer program which, when executed by a processor, implements a power generation data generation method as in any of the embodiments of the first aspect. The accuracy of distributed photovoltaic power generation amount prediction is improved. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification. Drawings FIG. 1 is an exemplary system architecture diagram to which the present disclosure may be applied; FIG. 2 is a flow chart of one embodiment of a method of generating power generation data according to the present disclosure; FIG. 3 is a schematic illustration of one application scenario of a power generation data generation method according to the present disclosure; FIG. 4 is a flow chart of yet another embodiment of a power generation data generation method according to the present disclosure; FIG. 5 is a schematic diagram of one embodiment of a power generation data generation apparatus according to the present disclosure; Fig. 6 is a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure. Detailed Description Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modificat