CN111047219A - Photovoltaic cleaning determination method and device, readable medium and electronic equipment - Google Patents

Photovoltaic cleaning determination method and device, readable medium and electronic equipment Download PDF

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Publication number
CN111047219A
CN111047219A CN201911380913.XA CN201911380913A CN111047219A CN 111047219 A CN111047219 A CN 111047219A CN 201911380913 A CN201911380913 A CN 201911380913A CN 111047219 A CN111047219 A CN 111047219A
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determining
photovoltaic power
power station
value
efficiency
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贺亚楠
邹广宇
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Xinao Shuneng Technology Co Ltd
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Xinao Shuneng Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a method and a device for determining photovoltaic cleaning, a readable medium and electronic equipment, wherein the method comprises the following steps: determining a target efficiency value of a target photovoltaic power station and an actual efficiency value corresponding to the target photovoltaic power station at the current day; determining an efficiency loss value corresponding to the target photovoltaic power station at the current day according to the benchmarking efficiency value and the actual efficiency value; according to the efficiency loss value, determining the corresponding yield loss of the target photovoltaic power station at the current day; determining a cleaning cost threshold corresponding to the target photovoltaic power station; when the yield loss is larger than the cleaning cost threshold value, determining the target photovoltaic power station as a photovoltaic power station to be cleaned; the actual efficiency value based on the target photovoltaic power station is realized, the loss of revenue caused by the existing dust deposition is determined, and the loss of revenue and the cleaning cost threshold value are compared, so that whether the target photovoltaic power station is cleaned or not is determined by combining with the actual condition, the revenue of the photovoltaic power station is improved, and meanwhile, the cost caused by additionally deploying hardware is avoided.

Description

Photovoltaic cleaning determination method and device, readable medium and electronic equipment
Technical Field
The invention relates to the technical field of computers, in particular to a photovoltaic cleaning determination method, a photovoltaic cleaning determination device, a readable medium and electronic equipment.
Background
In a photovoltaic power station, the deposition of dust on a photovoltaic module affects the radiation penetration and heat dissipation capability of the photovoltaic module, and even causes the photovoltaic module to be corroded. Therefore, the accumulated dust has serious influence on the power generation performance and equipment safety of the photovoltaic power station. Dust cleaning is an important task in the operation process of photovoltaic power stations. However, because the photovoltaic module has a large area, is difficult to clean and has high cost, how to determine the cleaning time is the key for maximizing the benefit of the photovoltaic power station.
In the prior art, part of photovoltaic power plants choose to clean the photovoltaic modules in a fixed cycle. This cleaning method is very modular and obviously cannot be adjusted in accordance with the actual situation, and cannot maximize the benefit. And another photovoltaic power station selects to install a dust detector so as to detect the dust deposition degree of the photovoltaic power station. Therefore, the photovoltaic module can be cleaned in combination with actual conditions. However, the installation of the dust detector itself causes additional hardware cost, and still causes a certain cost problem.
Disclosure of Invention
The invention provides a method and a device for determining photovoltaic cleaning, a readable medium and electronic equipment, which can determine whether to clean a photovoltaic power station or not by combining the power generation efficiency of the photovoltaic power station.
In a first aspect, the present invention provides a method for determining photovoltaic cleaning, including:
determining a target efficiency value of a target photovoltaic power station and an actual efficiency value corresponding to the target photovoltaic power station at the current day;
determining an efficiency loss value corresponding to the target photovoltaic power station at the current day according to the benchmarking efficiency value and the actual efficiency value;
according to the efficiency loss value, determining the corresponding yield loss of the target photovoltaic power station at the current day;
determining a cleaning cost threshold corresponding to the target photovoltaic power station;
and when the yield loss is larger than the cleaning cost threshold value, determining the target photovoltaic power station as the photovoltaic power station to be cleaned.
Preferably, the determining the efficiency loss value corresponding to the target photovoltaic power station at the current day according to the benchmarking efficiency value and the actual efficiency value includes:
determining a difference between the benchmarking efficiency value and the actual efficiency value as the efficiency loss value.
Preferably, before determining the efficiency loss value, the method further comprises:
and if the target efficiency value and the actual efficiency value meet preset conditions, determining the target photovoltaic power station as the cleaned photovoltaic power station.
Preferably, the determining, according to the efficiency loss value, the corresponding revenue loss of the target photovoltaic power station on the current day includes:
determining a corresponding electric quantity loss value according to the efficiency loss value;
and determining the return loss according to the electric quantity loss value.
Preferably, the determining the corresponding power loss value according to the efficiency loss value includes:
determining the standard daily power generation amount of the target photovoltaic power station;
and determining the product of the efficiency loss value and the standard daily generated energy as the electric quantity loss value.
Preferably, the determining the loss of revenue according to the power loss value includes:
and determining the product of the electric quantity loss value and the electricity price as the profit loss.
Preferably, the determining the cleaning cost threshold corresponding to the target photovoltaic power station includes:
and determining the product of the original cleaning cost and a preset critical cleaning coefficient as the cleaning cost threshold.
In a second aspect, the present invention provides a device for determining photovoltaic cleaning, comprising:
the efficiency value determining module is used for determining a target bar efficiency value of a target photovoltaic power station and an actual efficiency value corresponding to the target photovoltaic power station at the current day;
the efficiency loss value determining module is used for determining an efficiency loss value corresponding to the target photovoltaic power station at the current day according to the target efficiency value and the actual efficiency value;
the yield loss determining module is used for determining the yield loss corresponding to the target photovoltaic power station at the current day according to the efficiency loss value;
the cleaning cost threshold value determining module is used for determining a cleaning cost threshold value corresponding to the target photovoltaic power station;
and the cleaning determining module is used for determining the target photovoltaic power station as the photovoltaic power station to be cleaned when the yield loss is greater than the cleaning cost threshold value.
In a third aspect, the present invention provides a readable medium comprising executable instructions, which when executed by a processor of an electronic device, cause the electronic device to perform the method of determining photovoltaic cleaning according to any one of the first aspect.
In a fourth aspect, the present invention provides an electronic device, including a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the determination method for photovoltaic cleaning according to any one of the first aspect.
The invention provides a method and a device for determining photovoltaic cleaning, a readable medium and electronic equipment, which are used for determining the yield loss caused by the current dust deposition based on the actual efficiency value of a target photovoltaic power station and comparing the yield loss with a cleaning cost threshold value, so that whether the target photovoltaic power station is cleaned or not is determined by combining the actual situation, the yield of the photovoltaic power station is improved, and the cost caused by additionally deploying hardware is avoided.
Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.
Drawings
In order to more clearly illustrate the embodiments or the prior art solutions of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic flow chart of a method for determining photovoltaic cleaning according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another method for determining photovoltaic cleaning according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a photovoltaic cleaning determination apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the 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.
In the prior art, part of photovoltaic power plants choose to clean the photovoltaic modules in a fixed cycle. The cleaning mode is very modular, the photovoltaic module with serious dust deposition can not be cleaned at the first time, and the photovoltaic module with not serious dust deposition can be cleaned unnecessarily along with the period. It is obvious that the flexible adjustment cannot be performed in combination with the actual situation, and the benefit cannot be maximized. And another photovoltaic power station selects to install a dust detector so as to detect the dust deposition degree of the photovoltaic module. Therefore, the photovoltaic module can be cleaned in combination with actual conditions. However, the installation of the dust detector itself causes additional hardware cost, and still causes a certain cost problem.
In view of the above, the present invention provides a method and an apparatus for determining photovoltaic cleaning, which can determine whether to clean a photovoltaic power station in combination with the power generation efficiency of the photovoltaic power station. The benefit of photovoltaic power plant has been guaranteed, has avoided extra hardware to deploy simultaneously.
Referring to fig. 1, a specific embodiment of a method for determining photovoltaic cleaning according to the present invention is shown. In this embodiment, the method specifically includes the following steps:
step 101, a target efficiency value of a target photovoltaic power station and an actual efficiency value corresponding to the target photovoltaic power station at the current day are determined.
The target photovoltaic power station, i.e., the object for which cleaning is required in this embodiment, is determined. The efficiency value of the target photovoltaic power station is referred to in the art as PR value (i.e., Performance Ratio), or may be referred to as "comprehensive power generation efficiency". Is an important performance parameter in the photovoltaic working process. There are specific provisions in the art for the calculation of the PR value, which are not described herein.
The benchmarking efficiency value in this step is an efficiency value that the target photovoltaic power station should theoretically (or under the assumption that no dust is deposited), and can be regarded as a rated standard of the target photovoltaic power station. And the actual efficiency value is the efficiency actually calculated in the working process of the target photovoltaic power station.
And 102, determining an efficiency loss value corresponding to the target photovoltaic power station at the current day according to the benchmarking efficiency value and the actual efficiency value.
It is considered that the photovoltaic deposition is a factor that mainly affects the efficiency of the target photovoltaic power plant. In the presence of dust deposition, the actual efficiency value of the target photovoltaic power station may be reduced relative to the benchmarking efficiency value. In this embodiment, the difference between the benchmarking efficiency rate and the actual efficiency rate is determined as the efficiency loss rate. The efficiency loss value means the efficiency loss of the target photovoltaic power station due to the deposition of dust.
And 103, determining the corresponding revenue loss of the target photovoltaic power station at the current day according to the efficiency loss value.
For a photovoltaic power plant, the loss of efficiency of the target photovoltaic power plant means the loss of revenue. Therefore, in this embodiment, the corresponding revenue loss of the target photovoltaic power station on the current day is further determined according to the efficiency loss value. Usually, the loss of power generation caused by dust deposition can be estimated through the efficiency loss value, and the corresponding loss of revenue can be determined by further combining the electricity price. It will be appreciated that this loss of revenue also corresponds to the revenue that would theoretically be gained in addition to the cleaning of the target photovoltaic power plant.
And 104, determining a cleaning cost threshold corresponding to the target photovoltaic power station.
In this embodiment, the cleaning cost threshold may refer to a cost brought by cleaning the target photovoltaic power station.
And 105, when the yield loss is larger than the cleaning cost threshold value, determining the target photovoltaic power station as the photovoltaic power station to be cleaned.
From a cost and revenue perspective, the loss of revenue may be considered as the additional revenue that will be gained after cleaning the target photovoltaic power plant. And the cleaning cost threshold is the cost for cleaning the target photovoltaic power station. Obviously, if the loss of revenue is greater than the cleaning cost threshold, the target photovoltaic power station is cleaned at the moment, and the profit is greater than the cost, namely the profitability behavior. And otherwise, if the profit loss is smaller than the cleaning cost threshold value, cleaning the target photovoltaic power station, wherein the profit is smaller than the cost, namely the profit behavior.
Therefore, in this embodiment, when the revenue loss is greater than the cleaning cost threshold, the target photovoltaic power station is determined as the photovoltaic power station to be cleaned, that is, the target photovoltaic power station is considered to need to be cleaned, and additional profit is generated when the target photovoltaic power station is cleaned.
According to the technical scheme, the beneficial effects of the embodiment are as follows: the actual efficiency value based on the target photovoltaic power station is realized, the loss of revenue caused by the existing dust deposition is determined, and the loss of revenue and the cleaning cost threshold value are compared, so that whether the target photovoltaic power station is cleaned or not is determined by combining with the actual condition, the revenue of the photovoltaic power station is improved, and meanwhile, the cost caused by additionally deploying hardware is avoided.
Fig. 1 shows only a basic embodiment of the method of the present invention, and based on this, certain optimization and expansion can be performed, and other preferred embodiments of the method can also be obtained.
Fig. 2 shows another specific embodiment of the method for determining photovoltaic cleaning according to the present invention. The present embodiment is further developed on the basis of the foregoing embodiments. The method specifically comprises the following steps:
step 201, a target photovoltaic power station benchmarking efficiency value and an actual efficiency value corresponding to the target photovoltaic power station at the current day are determined.
Step 202, determining the difference between the benchmarking efficiency rate and the actual efficiency rate as the efficiency loss rate.
The above steps 201 to 202 are the same as those in the embodiment shown in fig. 1, and the description thereof will not be repeated.
It should be noted that, in the present embodiment, it is preferably determined whether the benchmarking efficiency rate and the actual efficiency rate satisfy preset conditions. And if the target efficiency value and the actual efficiency value meet preset conditions, determining the target photovoltaic power station as the cleaned photovoltaic power station.
It is generally recognized that the re-deposition of ash from a target photovoltaic power plant after cleaning is a particular rule. That is, the efficiency drop curve of the target photovoltaic power plant after cleaning is also specific. Therefore, whether the actual efficiency value meets the descending rule or not can be determined by judging whether the flagpole efficiency value and the actual efficiency value meet preset conditions or not.
If the above rule is satisfied, the deposition condition is considered to be normal, and the preset condition is not satisfied, the process may proceed to step 203. Otherwise, if the rule is not met, the accumulated dust of the target photovoltaic power station is influenced by other factors. Generally, rainwater can generate a natural cleaning effect on photovoltaic, namely, the law of dust deposition of a target photovoltaic power station is changed, so that the dust deposition of the target photovoltaic power station is influenced. Therefore, in this embodiment, when the actual efficiency value does not conform to the above-mentioned descent rule, it is considered that the preset condition is satisfied, that is, it is considered that the rainwater naturally cleans the target photovoltaic power station, and manual cleaning is not required for a while. The target photovoltaic power plant can thus be determined as a cleaned photovoltaic power plant.
And 203, determining a corresponding electric quantity loss value according to the efficiency loss value.
In this embodiment, the standard daily power generation amount of the target photovoltaic power station, that is, the power generation amount that the target photovoltaic power station can generate on the current day in theory, may be determined. The standard daily power generation amount depends on the performance of the target photovoltaic power station and the illuminance of the current day, and is a parameter which can be calculated conventionally in the field, and is not described herein. And further determining the product of the efficiency loss value and the standard daily generated energy as the electric quantity loss value. The power loss value means a value at which the efficiency of the target photovoltaic power station decreases due to deposition of dust, resulting in a decrease in power generation amount.
And 204, determining the profit loss according to the electric quantity loss value.
In this embodiment, the product of the electric quantity loss value and the electricity price is determined as the profit loss. The loss of revenue means a reduction in efficiency of the target photovoltaic power plant due to deposition of dust, resulting in a reduced value of revenue.
It should be noted that, for some photovoltaic power stations, a part of the generated electricity is supplied for local use, and another part of the generated electricity is uploaded to the grid system. The two parts have different electricity prices. Then separate calculations are also made in proportion to the lost revenue at this time. Specifically, the revenue loss may be considered as an electricity loss value, a local energy supply ratio, a local electricity price, and an electricity loss value, and uploaded to the grid ratio, a grid electricity price.
Step 205, determining the product of the original cleaning cost and a preset critical cleaning coefficient as the cleaning cost threshold.
The initial cleaning cost in this embodiment may refer to the cost incurred to clean the target photovoltaic power plant. In some cases, the raw cleaning cost may be used directly as a cleaning cost threshold. However, in this embodiment, it is necessary to preset a corresponding critical cleaning coefficient additionally, and determine the product of the original cleaning cost and the critical cleaning coefficient as the cleaning cost threshold.
Because in practical situations, after determining that the target photovoltaic power plant needs to be cleaned, the actual cleaning is not necessarily able to be performed on the same day or the next day. During which there is often a certain time interval. The time interval can be taken into account by setting the critical cleaning factor so as to decide to clean the target photovoltaic power station in advance for a certain time. It is ensured that on the day of cleaning, profit can be produced precisely from cleaning the target photovoltaic power plant. In this embodiment, the critical cleaning factor may be set to 95%.
And step 206, when the yield loss is larger than the cleaning cost threshold value, determining the target photovoltaic power station as a photovoltaic power station to be cleaned.
This step is the same as that in the embodiment shown in fig. 1, and will not be repeated here.
Fig. 3 shows a specific embodiment of the photovoltaic cleaning determination device according to the present invention. The apparatus of this embodiment is a physical apparatus for performing the method described in fig. 1-2. The technical solution is essentially the same as that in the above embodiment, and the corresponding description in the above embodiment is also applicable to this embodiment. The device in this embodiment includes:
an efficiency value determining module 301, configured to determine a target photovoltaic power station's benchmarking efficiency value, and an actual efficiency value that the target photovoltaic power station corresponds to on the current day.
And an efficiency loss value determining module 302, configured to determine, according to the flagpole efficiency value and the actual efficiency value, an efficiency loss value corresponding to the target photovoltaic power station on the current day.
And a revenue loss determining module 303, configured to determine, according to the efficiency loss value, a revenue loss corresponding to the target photovoltaic power station on the current day.
A cleaning cost threshold determination module 304, configured to determine a cleaning cost threshold corresponding to the target photovoltaic power station.
A cleaning determination module 305, configured to determine the target photovoltaic power station as a photovoltaic power station to be cleaned when the revenue loss is greater than the cleaning cost threshold.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device comprises a processor and optionally an internal bus, a network interface and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (peripheral component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
And the memory is used for storing the execution instruction. In particular, a computer program that can be executed by executing instructions. The memory may include both memory and non-volatile storage and provides execution instructions and data to the processor.
In a possible implementation manner, the processor reads corresponding execution instructions from the nonvolatile memory into the memory and then runs the corresponding execution instructions, and corresponding execution instructions can also be obtained from other equipment so as to form the determination device for photovoltaic cleaning on a logic level. The processor executes the execution instructions stored in the memory, so that the determination method for photovoltaic cleaning provided by any embodiment of the invention is realized through the executed execution instructions.
The method performed by the determination device for photovoltaic cleaning provided by the embodiment of the invention shown in fig. 3 can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
An embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores an execution instruction, and when the stored execution instruction is executed by a processor of an electronic device, the electronic device can be caused to perform the method for determining photovoltaic cleaning provided in any embodiment of the present invention, and is specifically configured to perform the method shown in fig. 1 or fig. 2.
The electronic device described in the foregoing embodiments may be a computer.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method 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.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (10)

1. A method of determining photovoltaic cleaning, comprising:
determining a target efficiency value of a target photovoltaic power station and an actual efficiency value corresponding to the target photovoltaic power station at the current day;
determining an efficiency loss value corresponding to the target photovoltaic power station at the current day according to the benchmarking efficiency value and the actual efficiency value;
according to the efficiency loss value, determining the corresponding yield loss of the target photovoltaic power station at the current day;
determining a cleaning cost threshold corresponding to the target photovoltaic power station;
and when the yield loss is larger than the cleaning cost threshold value, determining the target photovoltaic power station as the photovoltaic power station to be cleaned.
2. The method of claim 1, wherein determining an efficiency loss value corresponding to the target photovoltaic power plant on a current day based on the benchmarking efficiency value and the actual efficiency value comprises:
determining a difference between the benchmarking efficiency value and the actual efficiency value as the efficiency loss value.
3. The method of claim 2, further comprising, prior to determining the efficiency loss value:
and if the target efficiency value and the actual efficiency value meet preset conditions, determining the target photovoltaic power station as the cleaned photovoltaic power station.
4. The method of claim 1, wherein determining the corresponding loss of revenue for the target photovoltaic power plant on the current day based on the efficiency loss value comprises:
determining a corresponding electric quantity loss value according to the efficiency loss value;
and determining the return loss according to the electric quantity loss value.
5. The method of claim 4, wherein determining the corresponding charge loss value based on the efficiency loss value comprises:
determining the standard daily power generation amount of the target photovoltaic power station;
and determining the product of the efficiency loss value and the standard daily generated energy as the electric quantity loss value.
6. The method of claim 4, wherein said determining the loss of revenue as a function of the charge loss value comprises:
and determining the product of the electric quantity loss value and the electricity price as the profit loss.
7. The method according to any one of claims 1 to 6, wherein the determining the cleaning cost threshold corresponding to the target photovoltaic power plant comprises:
and determining the product of the original cleaning cost and a preset critical cleaning coefficient as the cleaning cost threshold.
8. A photovoltaic cleaning determination device, comprising:
the efficiency value determining module is used for determining a target bar efficiency value of a target photovoltaic power station and an actual efficiency value corresponding to the target photovoltaic power station at the current day;
the efficiency loss value determining module is used for determining an efficiency loss value corresponding to the target photovoltaic power station at the current day according to the target efficiency value and the actual efficiency value;
the yield loss determining module is used for determining the yield loss corresponding to the target photovoltaic power station at the current day according to the efficiency loss value;
the cleaning cost threshold value determining module is used for determining a cleaning cost threshold value corresponding to the target photovoltaic power station;
and the cleaning determining module is used for determining the target photovoltaic power station as the photovoltaic power station to be cleaned when the yield loss is greater than the cleaning cost threshold value.
9. A readable medium comprising executable instructions that, when executed by a processor of an electronic device, cause the electronic device to perform the method of photovoltaic cleaning determination of any of claims 1 to 7.
10. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the determination method of photovoltaic cleaning according to any one of claims 1 to 7 when the processor executes the execution instructions stored by the memory.
CN201911380913.XA 2019-12-27 2019-12-27 Photovoltaic cleaning determination method and device, readable medium and electronic equipment Pending CN111047219A (en)

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US6506260B1 (en) * 1999-07-29 2003-01-14 Kaneka Corporation Method for cleaning photovoltaic module and cleaning apparatus
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Application publication date: 20200421