CN114256843B - Distributed photovoltaic radiation data correction method and device - Google Patents
Distributed photovoltaic radiation data correction method and device Download PDFInfo
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Abstract
The invention relates to the technical field of new energy power generation, and particularly provides a distributed photovoltaic radiation data correction method and device, which comprise the following steps: acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station; and determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, radiation data monitored by the solar radiation station and corresponding satellite observation radiation data at the position of the solar radiation station. The method can provide complete earth surface incident total radiation time sequence data for photovoltaic power generation and resource evaluation, and solves the problem of difficult utilization caused by monitoring data quality.
Description
Technical Field
The invention relates to the technical field of new energy power generation, in particular to a distributed photovoltaic radiation data correction method and device. .
Background
Most areas have abundant solar energy resources, and the annual radiation quantity of each area is about 3340MJ/m2-8400MJ/m2Are not equal. At present, in the aspect of solar photovoltaic utilization, the production capacity of a solar cell module is also rapidly improved, and the working performance of various solar products is also continuously improved. Because the photovoltaic power generation process has uncertainty, the photovoltaic power generation grid connection is limited so as to seriously restrict the development of the photovoltaic industry. The solar energy resource is fully utilized, economic development can be effectively promoted, balance of an ecological system can be effectively protected, development of solar energy related industry is a career which is good at the present and is beneficial to the thousand years, accurate prediction of the solar energy resource is beneficial to improving the characteristics that photovoltaic power generation utilizing the solar energy resource has intermittency and the like along with output changes of seasons, days and nights, and the likeThe modularized access will bring certain influence to the safe and stable operation of the power grid.
According to the actual operation characteristics of the photovoltaic power station, the photovoltaic output characteristics are usually represented as periodicity, intermittency, randomness and volatility. The periodicity and intermittency are mainly influenced by uncertain conditions such as geography, climate and the like, for example, under the influence of different weather types in the same area, the photovoltaic output has great difference, or the photovoltaic output has great fluctuation in a short time. The most important influence factor of photovoltaic power generation is photovoltaic resources, namely total earth surface incident radiation, and only by accurately detecting the characteristics of the photovoltaic radiation, the photovoltaic resources and the photovoltaic output conditions thereof can be accurately predicted and evaluated, so that the photovoltaic resources can be better utilized. However, due to the fact that the number of distributed photovoltaic radiation monitoring stations is small, operation and maintenance are poor and the like, monitoring data are difficult to use in photovoltaic output and resource assessment. Under the existing situation, how to accurately acquire distributed photovoltaic radiation data is a problem to be solved urgently, so that the new energy consumption level is improved, the power grid defense capacity is improved, and the benefit efficiency is further improved.
Disclosure of Invention
In order to overcome the defects, the invention provides a distributed photovoltaic radiation data correction method and a distributed photovoltaic radiation data correction device.
In a first aspect, a distributed photovoltaic radiation data correction method is provided, where the distributed photovoltaic radiation data correction method includes:
acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station;
and determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, radiation data monitored by the solar radiation station and corresponding satellite observation radiation data at the position of the solar radiation station.
Preferably, the process of determining the fusion index includes:
dividing the set time into a plurality of time periods, and calculating an error average value between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in each preset time period and satellite observation radiation data corresponding to the position of the solar radiation station;
substituting the error average value into a pre-constructed data fusion model to obtain fusion coefficients corresponding to all preset time periods;
and taking the arithmetic mean value of the fusion coefficients corresponding to each preset time interval as a fusion index.
Further, the error average value is calculated by using a coefficient formula:
wherein the content of the first and second substances,error j the method comprises the steps of calculating the average value of errors between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation station,m j is the total number of time points set in the jth preset time period,Z ij the radiation data monitored by the solar radiation station in the preset range of the distributed photovoltaic station at the ith time point in the jth time period,W ij and observing radiation data of a satellite corresponding to the position of the solar radiation station at the ith time point in the jth preset time period.
Further, the calculation formula of the data fusion model is as follows:
Wj+ errorj= (Wj / avg(Zj) )^a j ·avg(Zj)，0< a j <1；
wherein, WjFor satellite observation radiation data, error, corresponding to the position of the solar radiation station in the jth time intervaljAn average value of errors Z between radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation stationjThe radiation data monitored by the solar radiation station within the preset range of the distributed photovoltaic station in the jth time interval,a j is the fusion coefficient corresponding to the j-th time interval.
Preferably, the calculation formula of the radiation correction data of the distributed photovoltaic station is as follows:
Wi,xf = (W/ avg(Z) )^a·avg(Z)
in the above formula, Wi,xfThe data is radiation correction data of the distributed photovoltaic stations, W is acquired satellite observation radiation data corresponding to the positions of the solar radiation stations, Z is acquired radiation data monitored by the solar radiation stations within a preset range of the distributed photovoltaic stations,ais a predetermined fusion index.
Preferably, the preset range is 0-20 km.
Preferably, after determining the radiation correction data of the distributed photovoltaic site, the method further includes:
photovoltaic resource assessment is carried out based on radiation correction data of the distributed photovoltaic stations; and
and scheduling the photovoltaic resources based on the photovoltaic resource assessment.
Further, photovoltaic resource assessment is performed based on radiation correction data of the distributed photovoltaic sites, and the method comprises the following steps:
and comparing the corrected radiation data with an evaluation rule to obtain an evaluation result.
Further, scheduling photovoltaic resources based on the photovoltaic resource assessment comprises:
searching a scheduling strategy base based on the evaluation result, and searching a scheduling strategy corresponding to the current evaluation result from the scheduling strategy base;
and scheduling the photovoltaic resources based on the scheduling strategy.
In a second aspect, the present invention provides a distributed photovoltaic radiation data correction apparatus, the apparatus comprising:
the acquisition module is used for acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station;
and the correction module is used for determining the radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, the radiation data monitored by the solar radiation station and the corresponding satellite observation radiation data at the position of the solar radiation station.
Preferably, the obtaining module is specifically configured to determine the fusion index according to the following manner:
dividing the set time into a plurality of time periods, and calculating an error average value between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in each preset time period and satellite observation radiation data corresponding to the position of the solar radiation station;
substituting the error average value into a pre-constructed data fusion model to obtain fusion coefficients corresponding to all preset time periods;
and taking the arithmetic mean value of the fusion coefficients corresponding to each preset time interval as a fusion index.
Preferably, the obtaining module is specifically configured to determine a calculation formula of the error average value according to the following manner:
wherein the content of the first and second substances,error j the method comprises the steps of calculating the error average value between the radiation data monitored by the solar radiation station in the preset range of the distributed photovoltaic station in the jth time period and the satellite observation radiation data corresponding to the position of the solar radiation station,m j is the total number of time points set in the jth preset time period,Z ij the radiation data monitored by the solar radiation station in the preset range of the distributed photovoltaic station at the ith time point in the jth time period,W ij and observing radiation data of a satellite corresponding to the position of the solar radiation station at the ith time point in the jth preset time period.
Preferably, the obtaining module is specifically configured to determine a calculation formula of the data fusion model according to the following manner:
Wj+ errorj= (Wj / avg(Zj) )^a j ·avg(Zj)，0< a j <1；
wherein, WjFor satellite observation radiation data, error, corresponding to the position of the solar radiation station in the jth time intervaljAn average value of errors Z between radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation stationjThe radiation data monitored by the solar radiation station within the preset range of the distributed photovoltaic station in the jth time interval,a j is the fusion coefficient corresponding to the j-th time interval.
Preferably, the correction module is specifically configured to determine a calculation formula of the radiation correction data of the distributed photovoltaic station according to the following manner:
Wi,xf = (W/ avg(Z) )^a·avg(Z)
in the above formula, Wi,xfThe radiation correction data of the distributed photovoltaic stations are obtained, W is the obtained satellite observation radiation data corresponding to the positions of the solar radiation stations, Z is the obtained radiation data monitored by the solar radiation stations within the preset range of the distributed photovoltaic stations,ais a predetermined fusion index.
Preferably, the method further comprises the following steps: an evaluation scheduling module to:
photovoltaic resource assessment is carried out based on radiation correction data of the distributed photovoltaic stations; and
and scheduling the photovoltaic resources based on the photovoltaic resource assessment.
Further, the evaluation scheduling module is specifically configured to:
and comparing the corrected radiation data with an evaluation rule to obtain an evaluation result.
Further, the evaluation scheduling module is specifically configured to:
searching a scheduling strategy base based on the evaluation result, and searching a scheduling strategy corresponding to the current evaluation result from the scheduling strategy base;
and scheduling the photovoltaic resources based on the scheduling strategy.
The invention provides an execution device comprising a processor coupled to a memory, the memory storing program instructions that, when executed by the processor, implement the method.
The invention provides a cloud computing platform which comprises a first server and a second server, wherein the first server comprises the device.
One or more technical schemes of the invention at least have one or more of the following beneficial effects: acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station; and determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, radiation data monitored by the solar radiation station and corresponding satellite observation radiation data at the position of the solar radiation station. The scheme can provide complete earth surface incident total radiation time sequence data for photovoltaic power generation and resource evaluation, and solves the problem of difficult utilization caused by monitoring data quality.
Furthermore, under the condition that the number of distributed photovoltaic radiation monitoring stations is small, a data fusion model can be scientifically constructed by using historical data, and radiation correction data can be quantitatively calculated, so that reliable quantitative data can be efficiently and scientifically provided for photovoltaic power generation and resource evaluation, and a power department can perform scientific photovoltaic resource scheduling.
Drawings
FIG. 1 is a schematic diagram of a continuous ten-day power curve of a photovoltaic resource in accordance with the present invention;
FIG. 2 is a schematic diagram of a comparison between solar radiation station monitoring and satellite monitoring data in accordance with the present invention;
FIG. 3 is a schematic diagram of a distributed photovoltaic radiation data correction method of an embodiment of the present invention;
FIG. 4 is a schematic diagram of a distributed photovoltaic radiation data modification apparatus of an embodiment of the present invention;
FIG. 5 is a schematic diagram of a photovoltaic resource assessment and scheduling method of an embodiment of the present invention;
FIG. 6 is a schematic diagram of a distributed photovoltaic radiation data correction system of an embodiment of the present invention;
FIG. 7 is a schematic diagram of an embodiment of a general architecture for a computer system of the present invention;
wherein: the system comprises a distributed photovoltaic station-210, a satellite-220, a cloud server-230 and a wireless network-240; computer system-100, communication interface-105, output device-110, input device-115, processor-120, memory-125.
Detailed Description
The development of the related industry of solar energy is a career which is worthy of being used in the millennium at the present generation, the accurate prediction of the solar energy resources is beneficial to improving the characteristics of intermittence and the like generated along with the output change of seasons, days and nights when the photovoltaic power generation is utilized by the solar energy resources, and the large-scale access brings certain influence on the safe and stable operation of a power grid.
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, it can be seen that the photovoltaic output curve is approximately cyclically fluctuating and has unstable values, so that the photovoltaic output characteristic tends to appear as periodic, intermittent, random and fluctuating. As shown in fig. 2, the continuous curve shows actual photovoltaic resource data, and the discontinuous data line shows monitoring data obtained by monitoring devices of the distributed photovoltaic stations. It can be seen that there is a certain inherent error in the monitoring device of the distributed photovoltaic site, in addition, there are also large delay and dynamic errors, and the data is discontinuous, so that there is a non-negligible discrepancy between the monitoring data obtained by the distributed photovoltaic site and the actual photovoltaic resource data, which is an error commonly known in the industry, and if the error is not corrected, it is difficult to perform subsequent accurate planning and scheduling.
Referring to fig. 3, fig. 3 is a schematic flow chart of main steps of a distributed photovoltaic radiation data correction method according to an embodiment of the present invention. As one mode, as shown in fig. 3, the distributed photovoltaic radiation data correction method in the embodiment of the present invention mainly includes the following steps:
step S101: acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station, wherein the preset range can be 0-20 km;
in the embodiment of the invention, a distributed photovoltaic power station resource monitoring device or a meteorological monitoring device can be selected as a solar radiation station; the satellite observation radiation data corresponding to the solar radiation station position can be satellite observation radiation data of a lattice point of satellite inversion data closest to the solar radiation station position, and in one embodiment, the time resolution of the satellite observation radiation data is 10 minutes, the spatial resolution is 1km, the time resolution of the radiation data monitored by the solar radiation station is 10 minutes, and the data time span is 3 months;
step S102: and determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, radiation data monitored by the solar radiation station and corresponding satellite observation radiation data at the position of the solar radiation station.
In this embodiment, the process of determining the predetermined fusion index includes:
dividing a historical time period into a plurality of preset time periods, and calculating an error average value between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in each preset time period and satellite observation radiation data corresponding to the position of the solar radiation station; in one embodiment, the plurality may be 3;
substituting the error average value into a pre-constructed data fusion model to obtain fusion coefficients corresponding to all preset time periods;
and taking the arithmetic mean value of the fusion coefficients corresponding to each preset time interval as a fusion index.
In one embodiment of the method of the present invention,
the error average value is calculated by adopting a coefficient formula:
wherein the content of the first and second substances,error j the method comprises the steps of calculating the average value of errors between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation station,m j is the total number of time points set in the jth preset time period,Z ij the radiation data monitored by the solar radiation station in the preset range of the distributed photovoltaic station at the ith time point in the jth time period,W ij and observing radiation data of a satellite corresponding to the position of the solar radiation station at the ith time point in the jth preset time period.
The calculation formula of the data fusion model is as follows:
Wj+ errorj= (Wj / avg(Zj) )^a j ·avg(Zj)，0< a j <1；
wherein, WjFor satellite observation radiation data, error, corresponding to the position of the solar radiation station in the jth time intervaljAn average value of errors Z between radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation stationjThe radiation data monitored by the solar radiation station within the preset range of the distributed photovoltaic station in the jth time interval,a j is the fusion coefficient corresponding to the j-th time interval.
In this embodiment, the calculation formula of the radiation correction data of the distributed photovoltaic station is as follows:
Wi,xf = (W/ avg(Z) )^a·avg(Z)
in the above formula, Wi,xfFor radiation correction data of distributed photovoltaic sites, W isTaking satellite observation radiation data corresponding to the position of the solar radiation station, wherein Z is the acquired radiation data monitored by the solar radiation station within the preset range of the distributed photovoltaic station,ais a predetermined fusion index.
Further, after determining the radiation correction data of the distributed photovoltaic site, the method further includes:
photovoltaic resource assessment is carried out based on radiation correction data of the distributed photovoltaic stations; and
and scheduling the photovoltaic resources based on the photovoltaic resource assessment.
In one embodiment, photovoltaic resource assessment based on radiation correction data for distributed photovoltaic sites includes:
and comparing the corrected radiation data with an evaluation rule to obtain an evaluation result.
In one embodiment, scheduling photovoltaic resources based on photovoltaic resource assessment comprises:
searching a scheduling strategy base based on the evaluation result, and searching a scheduling strategy corresponding to the current evaluation result from the scheduling strategy base;
and scheduling photovoltaic resources based on the scheduling strategy.
Based on the same inventive concept, the present invention provides a distributed photovoltaic radiation data correction apparatus, as shown in fig. 4, the distributed photovoltaic radiation data correction apparatus includes:
the acquisition module is used for acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station;
and the correction module is used for determining the radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, the radiation data monitored by the solar radiation station and the corresponding satellite observation radiation data at the position of the solar radiation station.
Preferably, the obtaining module is specifically configured to determine the fusion index according to the following manner:
dividing the set time into a plurality of time periods, and calculating an error average value between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in each preset time period and satellite observation radiation data corresponding to the position of the solar radiation station;
substituting the error average value into a pre-constructed data fusion model to obtain fusion coefficients corresponding to all preset time periods;
and taking the arithmetic average value of the fusion coefficients corresponding to each preset time interval as a fusion index.
Further, the obtaining module is specifically configured to determine a calculation formula of the error average value according to the following manner:
wherein the content of the first and second substances,error j the method comprises the steps of calculating the average value of errors between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation station,m j is the total number of time points set in the jth preset time period,Z ij the radiation data monitored by the solar radiation station in the preset range of the distributed photovoltaic station at the ith time point in the jth time period,W ij and observing radiation data of a satellite corresponding to the position of the solar radiation station at the ith time point in the jth preset time period.
Further, the obtaining module is specifically configured to determine a calculation formula of the data fusion model according to the following manner:
Wj+ errorj= (Wj / avg(Zj) )^a j ·avg(Zj)，0< a j <1；
wherein, WjFor satellite observation radiation data, error, corresponding to the position of the solar radiation station in the jth time intervaljAn average value of errors Z between radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation stationjIs the jthThe radiation data monitored by the solar radiation station within the preset range of the distributed photovoltaic station in the time period,a j is the fusion coefficient corresponding to the j-th time interval.
Preferably, the correction module is specifically configured to determine a calculation formula of the radiation correction data of the distributed photovoltaic station according to the following manner:
Wi,xf = (W/ avg(Z) )^a·avg(Z)
in the above formula, Wi,xfThe radiation correction data of the distributed photovoltaic stations are obtained, W is the obtained satellite observation radiation data corresponding to the positions of the solar radiation stations, Z is the obtained radiation data monitored by the solar radiation stations within the preset range of the distributed photovoltaic stations,ais a predetermined fusion index.
Preferably, the preset range is 0-20 km.
Preferably, the method further comprises the following steps: an evaluation scheduling module to:
photovoltaic resource assessment is carried out based on radiation correction data of the distributed photovoltaic stations; and
and scheduling the photovoltaic resources based on the photovoltaic resource assessment.
Further, the evaluation scheduling module is specifically configured to:
and comparing the corrected radiation data with an evaluation rule to obtain an evaluation result.
Further, the evaluation scheduling module is specifically configured to:
searching a scheduling strategy base based on the evaluation result, and searching a scheduling strategy corresponding to the current evaluation result from the scheduling strategy base;
and scheduling photovoltaic resources based on the scheduling strategy.
Referring to fig. 5, fig. 5 is a schematic flow chart illustrating main steps of a photovoltaic resource evaluation and scheduling method according to an embodiment of the present invention. In the above, the radiation correction data is accurately calculated and predicted, and the final purpose is to enable the power related department to carry out overall arrangement, planning construction and reasonable scheduling adjustment plan on the photovoltaic industry.
Based on the same inventive concept, as a mode, as shown in fig. 5, the photovoltaic resource assessment and scheduling method in the embodiment of the present invention mainly includes the following steps:
step S1, acquiring radiation data monitored by the solar radiation station within a preset range of the distributed photovoltaic station;
step S2: acquiring satellite observation radiation data corresponding to the position of the solar radiation station;
step S3: predetermining a fusion index based on historical data;
step S4: determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, radiation data monitored by the solar radiation station and corresponding satellite observation radiation data at the position of the solar radiation station;
step S5: performing photovoltaic resource assessment based on the radiation correction data;
step S6: and scheduling the photovoltaic resources based on the photovoltaic resource assessment.
In this embodiment, the process of performing photovoltaic resource evaluation based on radiation correction data specifically includes: and comparing the corrected radiation data with an evaluation rule to obtain an evaluation result. The electric power related department can acquire real-time radiation data from distributed photovoltaic stations by using a distributed photovoltaic radiation data correction system; when data acquisition is performed, authority verification of power related departments needs to be obtained. The evaluation rules differ from one local power department to another;
in this embodiment, the photovoltaic resource scheduling is performed based on photovoltaic resource evaluation, which specifically includes:
step S61, searching a scheduling strategy base based on the evaluation result; the scheduling policy repository is stored in the cloud server. The cloud server belongs to a part of a distributed photovoltaic radiation data correction system.
Step S62: searching a scheduling strategy corresponding to the current evaluation result from a scheduling strategy library;
step S63: and scheduling the photovoltaic resources based on the scheduling strategy.
Based on the same inventive concept, the invention provides a photovoltaic resource assessment and scheduling device, which comprises:
the first acquisition module is used for acquiring radiation data monitored by the solar radiation station within a preset range of the distributed photovoltaic station;
the second acquisition module is used for acquiring satellite observation radiation data corresponding to the position of the solar radiation station;
the determining module is used for determining a fusion index in advance based on historical data;
the correction module is used for determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, radiation data monitored by the solar radiation station and satellite observation radiation data corresponding to the position of the solar radiation station;
the evaluation module is used for carrying out photovoltaic resource evaluation based on the radiation correction data;
and the scheduling module is used for scheduling the photovoltaic resources based on the photovoltaic resource assessment.
And the evaluation module is used for comparing the corrected radiation data with an evaluation rule to obtain an evaluation result.
The scheduling module includes:
the searching module is used for searching the scheduling strategy base based on the evaluation result;
the matching module is used for searching the scheduling strategy corresponding to the current evaluation result from the scheduling strategy library;
and the strategy determining module is used for scheduling the photovoltaic resources based on the scheduling strategy.
Based on the same inventive concept, the invention provides a photovoltaic resource assessment and scheduling system, which is characterized by comprising: the system comprises a mobile terminal and a photovoltaic resource evaluation and scheduling device;
the mobile terminal is used for accessing the photovoltaic resource evaluation and scheduling device to obtain a scheduling instruction under the condition that the permission is allowed; and the mobile terminal is used for scheduling the photovoltaic resource based on the scheduling instruction.
Furthermore, the number of the mobile terminals is one or more.
Furthermore, when the mobile terminal accesses the photovoltaic resource evaluation and scheduling device, the access request is positioned to the power-related department, and after the authority verification of the power-related department is passed, the photovoltaic resource evaluation and scheduling device provides a scheduling instruction to the mobile terminal.
Based on the same inventive concept, the invention provides a distributed photovoltaic radiation data correction system, as shown in fig. 6, the distributed photovoltaic radiation data correction system includes a distributed photovoltaic site 210, a satellite 220, and a cloud server 230, which are located in a wireless network 240 or a wired network, and the distributed photovoltaic site, the satellite, and the cloud server perform data interaction through the wireless network or the wired network. In the invention, the distributed photovoltaic station is also provided with a monitoring device which can acquire monitoring data.
As a mode, the distributed photovoltaic station 210 obtains monitoring data by a manual mode, a non-manual mode, or a combination of manual and non-manual modes;
by one approach, the distributed photovoltaic sites 210 are one or more;
by one way, the satellites 220 are one or more;
by one approach, the cloud server 230 is a distributed server;
the server 230 may be a server that provides various services, such as a background server that provides support for pages displayed on the terminal device.
The distributed photovoltaic station is also provided with a monitoring device, and an RF module is arranged in the monitoring device; the method comprises the following steps that workers of the distributed photovoltaic station receive data collected in a monitoring device by carrying an RF collection module which can correspond to an RF module;
alternatively: the RF module directly exchanges data with the cloud server through a wireless network in an active mode; the RF module is used for receiving and transmitting electromagnetic waves, and realizing the interconversion of the electromagnetic waves and the electric signals, thereby communicating with a communication network or other equipment. The RF module 106 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The RF module may communicate with various networks such as the internet, an intranet, a wireless network, or with other devices via a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network.
The Wireless network may use various communication standards, protocols and technologies, including but not limited to global system for mobile communication (GSM), enhanced mobile communication (EDGE), wideband code division multiple access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Wireless Fidelity (WiFi) (such as ieee802.1 a, ieee802.1 b, ieee802.11g and/or ieee802.11n), voice over internet protocol (VoIP), worldwide interoperability for microwave, and other suitable protocols for short message communication, including any other protocols that are not currently developed.
The distributed photovoltaic radiation data correction device is implemented in a cloud server;
further, the present invention provides a storage medium, which includes a stored program, wherein when the program is executed, the apparatus on which the storage medium is located is controlled to execute the distributed photovoltaic radiation data correction method. The storage medium may comprise any computer-readable storage medium and may store computer instructions, such as processor-executable instructions, for implementing the various functions described herein for a corresponding system, as well as any data related thereto, generated thereby or received via communication interface(s) or input device(s), as present. Referring to the data processing system 100 of fig. 7, a memory 125 is included for storing historical data including radiation data monitored by solar radiation stations within a predetermined range of distributed photovoltaic stations and corresponding satellite observation radiation data at the positions of the solar radiation stations; the memory 125 can include a database. The processor(s) 120 shown in fig. 7 may be used to execute instructions stored in the memory 125 and, in doing so, may also read from or write to the memory various information processed and/or generated pursuant to execution of the instructions. The processor 120 is configured to execute a program, where the program executes the distributed photovoltaic radiation data correction method.
The processor 120 of the computer system 100 shown in fig. 7 may also be communicatively coupled to or control the communication interface(s) 105 to transmit or receive various information upon execution of instructions. For example, communication interface(s) 105 may couple to a wired or wireless network, bus, or other communication means, and thus may allow computer system 100 to transmit information to other devices (e.g., other computer systems) or receive information from other devices. In some implementations, the communication interface(s) may be configured to provide a website (e.g., via various hardware or software components) as an access portal to at least some aspects of the computer system 100. Examples of the communication interface 105 include a user interface (e.g., a web page) through which a user may communicate with the monitoring devices of the site and/or the satellite via the communication interface 105.
The output device 110 of the computer system 100 shown in fig. 7 may be provided, for example, to allow various information to be viewed, or otherwise perceived in connection with execution of instructions. Input device(s) 115 may be provided, for example, to allow a user to make manual adjustments, make selections, enter data, or interact with the processor in any of a number of various ways during execution of instructions. Additional information regarding the general computer system architecture that may be used with the various systems discussed herein is further provided herein.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (17)
1. A distributed photovoltaic radiation data correction method, the method comprising:
acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station;
determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, the radiation data and the satellite observation radiation data;
the fusion index determination process comprises the following steps:
dividing the set time into a plurality of time periods, and calculating an error average value between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in each preset time period and satellite observation radiation data corresponding to the position of the solar radiation station;
substituting the error average value into a pre-constructed data fusion model to obtain fusion coefficients corresponding to all preset time periods;
and taking the arithmetic mean value of the fusion coefficients corresponding to each preset time interval as a fusion index.
2. The method of claim 1, wherein the error mean is calculated using a coefficient formula:
wherein the content of the first and second substances,error j the method comprises the steps of calculating the average value of errors between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation station,m j set for the jth preset time periodThe total number of time points of (a),Z ij the radiation data monitored by the solar radiation station in the preset range of the distributed photovoltaic station at the ith time point in the jth time period,W ij and observing radiation data of a satellite corresponding to the position of the solar radiation station at the ith time point in the jth preset time period.
3. The method of claim 1, wherein the data fusion model is calculated as follows:
Wj+ errorj= (Wj / avg(Zj) )^a j ·avg(Zj)，0< a j <1；
wherein, WjFor satellite observation radiation data, error, corresponding to the position of the solar radiation station in the jth time intervaljAn average value of errors Z between radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation stationjThe radiation data monitored by the solar radiation station within the preset range of the distributed photovoltaic station in the jth time interval,a j is the fusion coefficient corresponding to the j-th time interval.
4. The method of claim 1, wherein the radiation correction data for the distributed photovoltaic site is calculated as follows:
Wi,xf = (W/ avg(Z) )^a·avg(Z)
in the above formula, Wi,xfThe radiation correction data of the distributed photovoltaic stations are obtained, W is the obtained satellite observation radiation data corresponding to the positions of the solar radiation stations, Z is the obtained radiation data monitored by the solar radiation stations within the preset range of the distributed photovoltaic stations,ais a predetermined fusion index.
5. The method of claim 1, wherein the predetermined range is 0-20 km.
6. The method of claim 1, further comprising, after determining the radiation correction data for the distributed photovoltaic site:
photovoltaic resource assessment is carried out based on radiation correction data of the distributed photovoltaic stations; and
and scheduling the photovoltaic resources based on the photovoltaic resource assessment.
7. The method of claim 6, wherein photovoltaic resource assessment based on radiation correction data for distributed photovoltaic sites comprises:
and comparing the corrected radiation data with an evaluation rule to obtain an evaluation result.
8. The method of claim 6, wherein scheduling photovoltaic resources based on photovoltaic resource evaluations comprises:
searching a scheduling strategy base based on the evaluation result, and searching a scheduling strategy corresponding to the current evaluation result from the scheduling strategy base;
and scheduling the photovoltaic resources based on the scheduling strategy.
9. A distributed photovoltaic radiation data modification apparatus, the apparatus comprising:
the acquisition module is used for acquiring radiation data monitored by a solar radiation station within a preset range of a distributed photovoltaic station and satellite observation radiation data corresponding to the position of the solar radiation station;
the correction module is used for determining radiation correction data of the distributed photovoltaic station based on a predetermined fusion index, radiation data monitored by the solar radiation station and satellite observation radiation data corresponding to the position of the solar radiation station;
the obtaining module is specifically configured to determine the fusion index in the following manner:
dividing the set time into a plurality of time periods, and calculating an error average value between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in each preset time period and satellite observation radiation data corresponding to the position of the solar radiation station;
substituting the error average value into a pre-constructed data fusion model to obtain fusion coefficients corresponding to all preset time periods;
and taking the arithmetic mean value of the fusion coefficients corresponding to each preset time interval as a fusion index.
10. The apparatus according to claim 9, wherein the obtaining module is specifically configured to determine the calculation of the error average value as follows:
wherein the content of the first and second substances,error j the method comprises the steps of calculating the average value of errors between radiation data monitored by a solar radiation station in a preset range of a distributed photovoltaic station in the jth time period and satellite observation radiation data corresponding to the position of the solar radiation station,m j is the total number of time points set in the jth preset time period,Z ij the radiation data monitored by the solar radiation station in the preset range of the distributed photovoltaic station at the ith time point in the jth time period,W ij and observing radiation data of a satellite corresponding to the position of the solar radiation station at the ith time point in the jth preset time period.
11. The apparatus according to claim 9, wherein the obtaining module is specifically configured to determine the calculation formula of the data fusion model according to the following manner:
Wj+ errorj= (Wj / avg(Zj) )^a j ·avg(Zj)，0< a j <1；
wherein, WjFor satellite observation radiation data, error, corresponding to the position of the solar radiation station in the jth time intervaljMonitoring radiation data of a solar radiation station within a preset range for a distributed photovoltaic station in the jth time period and the sunMean value of errors, Z, between corresponding satellite observations of radiation data at the location of the radiation stationjThe radiation data monitored by the solar radiation station within the preset range of the distributed photovoltaic station in the jth time interval,a j is the fusion coefficient corresponding to the j-th time interval.
12. The apparatus according to claim 9, wherein the correction module is specifically configured to determine the calculation formula of the radiation correction data of the distributed photovoltaic station in the following manner:
Wi,xf = (W/ avg(Z) )^a·avg(Z)
in the above formula, Wi,xfThe radiation correction data of the distributed photovoltaic stations are obtained, W is the obtained satellite observation radiation data corresponding to the positions of the solar radiation stations, Z is the obtained radiation data monitored by the solar radiation stations within the preset range of the distributed photovoltaic stations,ais a predetermined fusion index.
13. The apparatus of claim 9, further comprising: an evaluation scheduling module to:
photovoltaic resource assessment is carried out based on radiation correction data of the distributed photovoltaic stations; and
and scheduling the photovoltaic resources based on the photovoltaic resource assessment.
14. The apparatus of claim 13, wherein the evaluation scheduling module is specifically configured to:
and comparing the corrected radiation data with an evaluation rule to obtain an evaluation result.
15. The apparatus of claim 13, wherein the evaluation scheduling module is specifically configured to:
searching a scheduling strategy base based on the evaluation result, and searching a scheduling strategy corresponding to the current evaluation result from the scheduling strategy base;
and scheduling the photovoltaic resources based on the scheduling strategy.
16. An execution device comprising a processor coupled to a memory, the memory storing program instructions that, when executed by the processor, implement the method of any of claims 1 to 8.
17. A cloud computing platform comprising a first server and a second server, the first server comprising the apparatus of any of claims 9 to 15.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011158363A1 (en) * | 2010-06-17 | 2011-12-22 | 株式会社四国総合研究所 | Solar radiation intensity prediction system and photovoltaic power generation output prediction system |
| CN113311512A (en) * | 2021-06-24 | 2021-08-27 | 中国气象局公共气象服务中心(国家预警信息发布中心) | Photovoltaic power station solar radiation short-term forecasting method based on satellite radiation product |
| CN113313301A (en) * | 2021-05-25 | 2021-08-27 | 中国电力科学研究院有限公司 | Photovoltaic power generation power ultra-short term prediction result combination optimization method and system |
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|---|---|---|---|---|
| WO2011158363A1 (en) * | 2010-06-17 | 2011-12-22 | 株式会社四国総合研究所 | Solar radiation intensity prediction system and photovoltaic power generation output prediction system |
| CN113313301A (en) * | 2021-05-25 | 2021-08-27 | 中国电力科学研究院有限公司 | Photovoltaic power generation power ultra-short term prediction result combination optimization method and system |
| CN113311512A (en) * | 2021-06-24 | 2021-08-27 | 中国气象局公共气象服务中心(国家预警信息发布中心) | Photovoltaic power station solar radiation short-term forecasting method based on satellite radiation product |
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