CN115358778A - Method, device and equipment for metering photovoltaic power generation income and storage medium - Google Patents

Method, device and equipment for metering photovoltaic power generation income and storage medium Download PDF

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CN115358778A
CN115358778A CN202210984844.9A CN202210984844A CN115358778A CN 115358778 A CN115358778 A CN 115358778A CN 202210984844 A CN202210984844 A CN 202210984844A CN 115358778 A CN115358778 A CN 115358778A
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photovoltaic power
power generation
preset
historical
load value
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高小明
林丹
刘青
颜家慧
胡超
陈佳欢
苏云彬
陈思宇
杨伟杰
杨宁
黄佳敏
谢惠玲
邱涵溪
袁溢祺
钟舒铨
黄晓钰
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin

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Abstract

The invention discloses a method, a device, equipment and a storage medium for measuring photovoltaic power generation income. The method comprises the following steps: acquiring historical power load data and historical weather data of a user, and acquiring a photovoltaic power load value according to the historical power load data, the historical weather data and a preset photovoltaic power generation capacity; and acquiring photovoltaic power generation benefits according to the photovoltaic power load value, the historical power load data, the historical weather data and the preset photovoltaic power generation capacity. According to the technical scheme, the historical electricity load data, the historical weather data and the photovoltaic power generation capacity to be established of the user are comprehensively considered, so that the photovoltaic power generation benefit is evaluated, and the accuracy of measurement of the photovoltaic power generation benefit can be improved.

Description

Method, device and equipment for metering photovoltaic power generation income and storage medium
Technical Field
The invention relates to the technical field of power grids, in particular to a method, a device, equipment and a storage medium for measuring photovoltaic power generation income.
Background
At present, the existing prediction and estimation method of photovoltaic power generation income usually multiplies photovoltaic construction capacity by local annual full power generation hours to predict annual power generation amount of photovoltaic; and then calculating historical weighted average electricity price, and further multiplying the annual photovoltaic power generation amount by the historical weighted average electricity price to predict annual photovoltaic power generation income. However, in the prior art, differences of illumination, weather, electricity prices, customer self-load conditions and the like in different local time periods are not considered, so that the accuracy of estimation of the photovoltaic power generation profit is poor.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for measuring photovoltaic power generation income, which can improve the accuracy of measuring the photovoltaic power generation income when the photovoltaic power generation income is estimated.
According to an aspect of the present invention, there is provided a method for measuring photovoltaic power generation yield, including:
acquiring historical electricity load data and historical weather data of a user;
acquiring a photovoltaic power load value according to the historical power load data, the historical weather data and a preset photovoltaic power generation capacity;
and acquiring photovoltaic power generation benefits according to the photovoltaic power load value, the historical power load data, the historical weather data and a preset photovoltaic power generation capacity.
According to another aspect of the present invention, there is provided a photovoltaic power generation yield measuring apparatus, including:
the data acquisition module is used for acquiring historical electricity load data and historical weather data of a user;
the photovoltaic power load value acquisition module is used for acquiring a photovoltaic power load value according to the historical power load data, the historical weather data and a preset photovoltaic power generation capacity;
and the photovoltaic power generation profit acquisition module is used for acquiring photovoltaic power generation profit according to the photovoltaic power load value, the historical power load data, the historical weather data and the preset photovoltaic power generation capacity.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method for measuring photovoltaic power generation yield according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the method for measuring photovoltaic power generation profit according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, the photovoltaic power load value is obtained by obtaining the historical power load data and the historical weather data of a user and according to the historical power load data, the historical weather data and the preset photovoltaic power generation capacity; furthermore, according to photovoltaic power load value, historical power load data, historical weather data and preset photovoltaic power generation capacity, photovoltaic power generation income is obtained, historical power load data, historical weather data and the photovoltaic power generation capacity to be established of user are considered through synthesis to assess photovoltaic power generation income, can promote the accuracy of the measurement of photovoltaic power generation income.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for measuring photovoltaic power generation profit according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for measuring photovoltaic power generation profit according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a photovoltaic power generation profit metering device provided according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing the method for measuring photovoltaic power generation yield according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
It should be noted that the terms "first," "second," "target," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for measuring photovoltaic power generation benefits according to an embodiment of the present invention, where the method is applicable to a situation where benefits of a photovoltaic power generation device to be built are evaluated, and the method may be performed by a device for measuring photovoltaic power generation benefits, where the device for measuring photovoltaic power generation benefits may be implemented in hardware and/or software, and the device for measuring photovoltaic power generation benefits may be configured in an electronic device, where the electronic device may be a computer device or a server. As shown in fig. 1, the method includes:
and S110, acquiring historical electricity load data and historical weather data of the user.
The user can be an enterprise or an individual needing to build the photovoltaic power generation equipment; correspondingly, the historical electricity load data of the user may be electricity consumption data of a company or an individual in the past period, and typically may be electricity load data of the user at preset time intervals (for example, 15 minutes) in the previous year.
The historical weather data can be weather conditions in a past period, and sunrise and sunset time of each day; typically, this may be the weather conditions of each day of the previous year, as well as the sunrise and sunset times of each day.
In this embodiment, historical power consumption load data of a user can be acquired by querying the enterprise power and electricity quantity database, and historical weather data can be acquired by querying the weather database. The enterprise power and electricity quantity database can store historical power consumption records of users. It should be noted that, before querying the enterprise power and electricity quantity database, authorization of the user is performed in advance.
And S120, acquiring a photovoltaic power load value according to the historical power load data, the historical weather data and a preset photovoltaic power generation capacity.
The preset photovoltaic power generation capacity can be the theoretical power generation capacity of photovoltaic power generation equipment to be built by a user. It can be understood that the weather condition may seriously affect the power generation efficiency of the photovoltaic power generation device, for example, when the weather condition is cloudy or cloudy, the power generation capacity of the photovoltaic power generation device cannot reach the preset photovoltaic power generation capacity; furthermore, after a solar fall, the photovoltaic power generation apparatus cannot operate.
In this embodiment, the weather condition weight and the sunshine weight corresponding to a moment can be acquired according to historical weather data, and the weather condition weight and the sunshine weight are multiplied by the preset photovoltaic power generation capacity to acquire the actual photovoltaic power generation capacity at the moment. Furthermore, the historical electricity load value at the moment can be obtained by screening the historical electricity load data, and the actual photovoltaic power generation capacity is subtracted from the historical electricity load value to obtain the photovoltaic electricity load value at the moment, namely the commercial electric quantity required to be used by the user after the photovoltaic power generation equipment is put into use.
The historical weather data may include daily weather conditions, sunrise time and sunset time, and the weather conditions may include sunny, cloudy and cloudy, etc.
In an optional implementation manner of this embodiment, obtaining the photovoltaic power load value according to the historical power load data, the historical weather data, and the preset photovoltaic power generation capacity may include:
acquiring a first parameter value corresponding to a first preset moment according to the daily weather condition, and acquiring a second parameter value corresponding to the first preset moment according to the daily sunrise time and the sunset time; acquiring a historical electric load value corresponding to a first preset moment according to the historical electric load data;
and acquiring the photovoltaic power load value corresponding to the first preset moment according to the historical power load value corresponding to the first preset moment, the preset photovoltaic power generation capacity, and the first parameter value and the second parameter value corresponding to the first preset moment.
The first preset time may be a preset time of a certain day. In this embodiment, the first parameter value and the second parameter value corresponding to the first preset time may be obtained according to the weather condition of each day, and the sunrise time and the sunset time. The first parameter value may be a weight value corresponding to a weather condition; the second parameter value may be a weight value corresponding to sunshine.
In a specific example, the first preset time isT, when the weather condition of the day is fine, the first parameter value K 1 =1; when the weather condition of the day is negative, the first parameter value K 1 =0.3; when the weather condition of the day is cloudy, the first parameter value K 1 =0.5; if the weather condition of the day is other conditions, such as rain, the first parameter value K 1 And =0. Secondly, the sunrise time of the day is T Go out Sunset time of T Fall off If T is Go out <t<T Fall to I.e. the first predetermined time is between sunrise and sunset, the second parameter value K 2 =1; otherwise, the second parameter value K 2 =0. Therefore, a first parameter value and a second parameter value corresponding to the first preset time can be obtained.
Further, the historical electric load value corresponding to the first preset time can be obtained by screening from the historical electric load data, and can be based on a formula P s =P t -S×K 1 ×K 2 And calculating to obtain a photovoltaic electrical load value P corresponding to the first preset moment s (ii) a Wherein, P t Representing the historical electric load value corresponding to the first preset time t, S representing the preset photovoltaic power generation capacity, K 1 Representing a first parameter value, K 2 Representing a second parameter value, S x K 1 ×K 2 And the actual photovoltaic power generation capacity at the first preset moment is represented.
Wherein if P s =P t If the current is not the same as the current of the photovoltaic power generation equipment, the photovoltaic power generation equipment needs to purchase commercial power; if P is t >P s If the voltage is more than 0, the photovoltaic power generation is self-used, and the shortage exists, and the commercial power needs to be purchased for supplement; if P is s If the current is not less than 0, the photovoltaic power generation is self-used, and the photovoltaic power generation is just enough, and the additional commercial power supplement is not needed; if P s If the power is less than 0, the photovoltaic power generation is free of self-use and can output power to a power grid.
S130, obtaining photovoltaic power generation benefits according to the photovoltaic power load value, the historical power load data, the historical weather data and preset photovoltaic power generation capacity.
In this embodiment, after the photovoltaic electrical load value corresponding to each preset time is obtained, the historical electrical load value at each preset time may be obtained from the historical electrical load data; further, the photovoltaic power generation amount per unit time period corresponding to each preset time may be obtained based on the historical weather data and the preset photovoltaic power generation capacity according to the magnitude relationship between the photovoltaic power load value and the historical power load value at each preset time, for example, the actual photovoltaic power generation capacity at the preset time is multiplied by the duration of the unit time period to obtain the photovoltaic power generation amount per unit time period corresponding to the current preset time. Then, the photovoltaic power generation amount of each unit time interval can be respectively multiplied by the matched electricity price of the corresponding unit time interval to obtain the photovoltaic power generation income of each unit time interval.
The unit time interval corresponding to the preset time can be a time interval with the preset time as a starting point and the preset duration as an interval length; the photovoltaic power generation amount per unit time interval may be the power generation amount of the photovoltaic power generation equipment per unit time interval.
According to the technical scheme of the embodiment of the invention, the photovoltaic power load value is obtained by obtaining the historical power load data and the historical weather data of a user and according to the historical power load data, the historical weather data and the preset photovoltaic power generation capacity; furthermore, according to the photovoltaic power load value, the historical power load data, the historical weather data and the preset photovoltaic power generation capacity, the photovoltaic power generation profit is obtained, the historical power load data, the historical weather data and the photovoltaic power generation capacity to be established of the user are comprehensively considered, so that the photovoltaic power generation profit is evaluated, and the accuracy of the measurement of the photovoltaic power generation profit can be improved.
Example two
Fig. 2 is a flowchart of a method for measuring photovoltaic power generation yield according to a second embodiment of the present invention, which is a further refinement of the foregoing technical solution, and the technical solution in this embodiment may be combined with one or more of the foregoing implementations. As shown in fig. 2, the method includes:
s210, obtaining historical electricity load data and historical weather data of the user.
S220, acquiring a first parameter value corresponding to a first preset moment according to the daily weather condition, and acquiring a second parameter value corresponding to the first preset moment according to the daily sunrise time and the daily sunset time.
And S230, acquiring a historical electric load value corresponding to the first preset moment according to the historical electric load data.
S240, acquiring a photovoltaic power load value corresponding to the first preset moment according to the historical power load value corresponding to the first preset moment, the preset photovoltaic power generation capacity, and the first parameter value and the second parameter value corresponding to the first preset moment.
And S250, acquiring photovoltaic power generation income in unit time period corresponding to the first preset time according to the historical power load value and the photovoltaic power load value corresponding to the first preset time.
Specifically, firstly, according to the magnitude relation between the photovoltaic electrical load value corresponding to the first preset time and the historical electrical load value, based on the historical weather data and the preset photovoltaic power generation capacity, the photovoltaic power generation amount in the unit time period corresponding to the first preset time is obtained; and then multiplying the photovoltaic power generation amount in the unit time interval by the current electricity price in the unit time interval to obtain the photovoltaic power generation income in the unit time interval corresponding to the first preset time.
And S260, obtaining the photovoltaic power generation income of the unit time period corresponding to each other preset time, and obtaining the photovoltaic power generation income according to the photovoltaic power generation income of the unit time period corresponding to each preset time.
In this embodiment, the unit time interval photovoltaic power generation profit corresponding to each preset time may be obtained in advance, and the obtained unit time interval photovoltaic power generation profits are added, and the sum value is used as the final photovoltaic power generation profit.
In a specific example, with 15 minutes as a duration of a unit period, each preset time may be 0. Firstly, acquiring the photovoltaic power generation income of each unit time interval of the whole year; and then accumulating the photovoltaic power generation income of each unit time interval, and taking the sum value as the photovoltaic power generation income of the whole year, namely the income which can be expected in the future. For example, it can be based on the publicFormula M = ∑ M t Obtaining photovoltaic power generation profit, M t And (4) representing the photovoltaic power generation benefits in unit time intervals corresponding to different time t.
According to the technical scheme of the embodiment of the invention, the historical electricity load data and the historical weather data of the user are obtained, the first parameter value corresponding to the first preset time is obtained according to the daily weather condition, and the second parameter value corresponding to the first preset time is obtained according to the daily sunrise time and sunset time; then, acquiring a historical electric load value corresponding to the first preset moment according to the historical electric load data; acquiring a photovoltaic power load value corresponding to a first preset moment according to a historical power load value corresponding to the first preset moment, a preset photovoltaic power generation capacity, a first parameter value and a second parameter value corresponding to the first preset moment; further, according to the historical power load value and the photovoltaic power load value corresponding to the first preset time, the photovoltaic power generation income of the unit time period corresponding to the first preset time is obtained, the photovoltaic power generation income of the unit time period corresponding to other preset times is obtained, and then the photovoltaic power generation income is obtained according to the photovoltaic power generation income of the unit time period corresponding to the preset times; corresponding photovoltaic power generation income is calculated through unit period at every interval, and then obtains final photovoltaic power generation income, can synthesize the weather condition change and the price of electricity change of considering different periods, can further promote the degree of accuracy of the measurement of photovoltaic power generation income.
In an optional implementation manner of this embodiment, obtaining the photovoltaic power generation benefit in the unit time period corresponding to the first preset time according to the historical electrical load value and the photovoltaic electrical load value corresponding to the first preset time may include:
and if the historical electric load value corresponding to the first preset moment is equal to the corresponding photovoltaic electric load value, determining that the photovoltaic power generation yield per unit time interval corresponding to the first preset moment is zero.
In this embodiment, if the historical electrical load value is equal to the photovoltaic electrical load value, i.e. P s =P t That is, the photovoltaic power generation equipment does not generate power at the current moment, and at this moment, the user needs to purchase all the photovoltaic power generation equipmentAnd the commercial power is not available, so that the photovoltaic power generation income does not exist, namely the corresponding photovoltaic power generation income in unit time interval is zero.
In another optional implementation manner of this embodiment, obtaining the photovoltaic power generation benefit in a unit time period corresponding to the first preset time according to the historical electrical load value and the photovoltaic electrical load value corresponding to the first preset time may include:
if the historical power load value corresponding to the first preset moment is larger than the corresponding photovoltaic power load value and the photovoltaic power load value corresponding to the first preset moment is larger than or equal to zero, acquiring a first parameter value and a second parameter value corresponding to a second preset moment according to the daily weather condition, sunrise time and sunset time;
acquiring the electricity price between a first preset time and a second preset time;
and acquiring the photovoltaic power generation income of the unit time interval corresponding to the first preset time according to the first parameter value and the second parameter value corresponding to the first preset time, the first parameter value and the second parameter value corresponding to the second preset time, the preset photovoltaic power generation capacity and the electricity price between the first preset time and the second preset time.
The second preset time may be a cutoff time of a unit time period corresponding to the first preset time, for example, if the first preset time is 0. The electricity price between the first preset time and the second preset time can comprise peak-time electricity price, normal-time electricity price and valley-time electricity price, and different commercial electricity prices can be used in different time periods. In the present embodiment, the value of each electricity price may be set in advance according to the local actual situation.
In this embodiment, if at a first preset time of a certain day, the historical electrical load value is greater than the corresponding photovoltaic electrical load value, and the photovoltaic electrical load value is greater than or equal to zero, that is, P t >P s And the power is more than or equal to 0, the photovoltaic power generation is completely self-used, and a part of commercial power needs to be additionally purchased. At the moment, the photovoltaic power generation income can be reduced by the cost of purchasing the commercial power.
In particular, it can be based on a formula
Figure BDA0003801668680000101
Obtaining a photovoltaic power generation profit M in a unit time period corresponding to a first preset time t t . Wherein, K t1 First parameter value K representing a first predetermined time t 1 ,K t2 Second parameter value K representing a first predetermined time t 2 ,K (t+15)1 A first parameter value K representing a second predetermined time (t + 15) 1 ,K (t+15)2 A second parameter value K representing a second predetermined time (t + 15) 2 And m represents the commercial power price between t and (t + 15), and the value can be the peak time power price, the normal time power price or the valley time power price, and 0.25 represents the duration of the unit time period, namely 0.25 hour, namely 15 minutes.
In this embodiment, through considering the difference of peak flat valley period, adopt different commercial power price, can further promote the degree of accuracy of the measurement of photovoltaic power generation income.
In another optional implementation manner of this embodiment, obtaining the photovoltaic power generation benefit in a unit time period corresponding to the first preset time according to the historical electrical load value and the photovoltaic electrical load value corresponding to the first preset time may include:
if the photovoltaic power load value corresponding to the first preset moment is smaller than zero, acquiring a historical power load value corresponding to the second preset moment according to the historical power load data;
acquiring first photovoltaic power generation income corresponding to the first preset time according to the historical electric load value corresponding to the first preset time, the historical electric load value corresponding to the second preset time and the electricity price between the first preset time and the second preset time;
acquiring a second photovoltaic power generation benefit corresponding to the first preset moment according to the preset photovoltaic power generation capacity, a first parameter value and a second parameter value corresponding to the first preset moment, a historical power load value corresponding to the first preset moment and a preset photovoltaic internet price;
and adding the first photovoltaic power generation income and the second photovoltaic power generation income corresponding to the first preset moment, and taking the sum as the photovoltaic power generation income of the unit time period corresponding to the first preset moment.
In another case, when the photovoltaic electrical load value is less than zero, i.e. P s When the current is less than 0, the photovoltaic power generation equipment can output extra power to the power grid. At the moment, the photovoltaic power generation benefit is composed of the electric quantity originally required by the user and the electric quantity output to the power grid.
In a specific example, when the photovoltaic electrical load value is less than zero, it can be based on formula M t =W t ×m+0.25×(S×K t1 ×K t2 -P t )×m Light (es) Obtaining a photovoltaic power generation profit M in a unit time period corresponding to a first preset time t t . Wherein, W t Xm may represent a first photovoltaic generation yield, i.e., a portion of electric power originally required by a user, W t Represents the amount of electricity used between t and (t + 15); 0.25X (S X K) t1 ×K t2 -P t )×m Light (es) The second photovoltaic generation yield, i.e. the portion of the electricity output to the grid, m, can be expressed Light (A) The preset photovoltaic grid-connected electricity price can be represented.
Acquiring a first photovoltaic power generation benefit corresponding to the first preset time according to a historical power load value corresponding to the first preset time, a historical power load value corresponding to the second preset time, and a power price between the first preset time and the second preset time, wherein the acquiring of the first photovoltaic power generation benefit corresponding to the first preset time may include:
acquiring an average power load value according to the historical power load value corresponding to the first preset time and the historical power load value corresponding to the second preset time;
and multiplying the average power load value, the power price between the first preset time and the second preset time and the preset unit time period, and taking the product as the first photovoltaic power generation income corresponding to the first preset time.
In one particular example, it may be based on a formula
Figure BDA0003801668680000111
Calculating the amount of electricity W used between t and (t + 15) t Wherein P is t Represents the historical electric load value, P, corresponding to the first preset time t t+15 Represents the historical electric load value corresponding to the second preset time (t + 15),
Figure BDA0003801668680000112
represents the average electrical load value, and 0.25 represents the preset unit time period duration, i.e., 0.25 hours and 15 minutes. Specifically, the average power load value is multiplied by the preset unit time period to obtain the unit time period power consumption, and then the unit time period power consumption is multiplied by the corresponding electricity price to obtain the first photovoltaic power generation income.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a photovoltaic power generation profit metering device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: the system comprises a data acquisition module 310, a photovoltaic power load value acquisition module 320 and a photovoltaic power generation profit acquisition module 330; wherein,
the data acquisition module 310 is used for acquiring historical electricity load data and historical weather data of a user;
a photovoltaic power load value obtaining module 320, configured to obtain a photovoltaic power load value according to the historical power load data, the historical weather data, and a preset photovoltaic power generation capacity;
and the photovoltaic power generation profit obtaining module 330 is configured to obtain photovoltaic power generation profits according to the photovoltaic power load value, the historical power load data, the historical weather data, and a preset photovoltaic power generation capacity.
According to the technical scheme of the embodiment of the invention, the photovoltaic power load value is obtained by obtaining the historical power load data and the historical weather data of a user and according to the historical power load data, the historical weather data and the preset photovoltaic power generation capacity; furthermore, according to photovoltaic power load value, historical power load data, historical weather data and preset photovoltaic power generation capacity, photovoltaic power generation income is obtained, historical power load data, historical weather data and the photovoltaic power generation capacity to be established of user are considered through synthesis to assess photovoltaic power generation income, can promote the accuracy of the measurement of photovoltaic power generation income.
Optionally, the historical weather data includes daily weather conditions, sunrise time, and sunset time;
photovoltaic power load value acquisition module 320 includes:
the parameter value acquisition unit is used for acquiring a first parameter value corresponding to a first preset moment according to the daily weather condition and acquiring a second parameter value corresponding to the first preset moment according to the daily sunrise time and sunset time;
the historical electrical load value acquisition unit is used for acquiring a historical electrical load value corresponding to a first preset moment according to the historical electrical load data;
and the photovoltaic power load value acquisition unit is used for acquiring the photovoltaic power load value corresponding to the first preset moment according to the historical power load value corresponding to the first preset moment, the preset photovoltaic power generation capacity, and the first parameter value and the second parameter value corresponding to the first preset moment.
Optionally, the photovoltaic power generation profit obtaining module 330 includes:
a unit time interval photovoltaic power generation profit obtaining unit, configured to obtain a unit time interval photovoltaic power generation profit corresponding to the first preset time according to the historical electrical load value and the photovoltaic electrical load value corresponding to the first preset time;
and the photovoltaic power generation profit obtaining unit is used for obtaining the photovoltaic power generation profits of unit time periods corresponding to other preset moments and obtaining the photovoltaic power generation profits according to the photovoltaic power generation profits of unit time periods corresponding to the preset moments.
Optionally, the unit for obtaining photovoltaic power generation profit per unit time interval includes:
and the unit time interval photovoltaic power generation profit determination subunit is used for determining that the unit time interval photovoltaic power generation profit corresponding to the first preset time is zero if the historical electrical load value corresponding to the first preset time is detected to be equal to the corresponding photovoltaic electrical load value.
Optionally, the unit for obtaining photovoltaic power generation profit per unit time interval includes:
a parameter value obtaining subunit, configured to, if it is detected that the historical electrical load value corresponding to the first preset time is greater than the corresponding photovoltaic electrical load value, and the photovoltaic electrical load value corresponding to the first preset time is greater than or equal to zero, obtain a first parameter value and a second parameter value corresponding to a second preset time according to the daily weather condition, sunrise time, and sunset time;
the electricity price acquiring subunit is used for acquiring the electricity price between the first preset time and the second preset time;
and the first unit time interval photovoltaic power generation profit obtaining subunit is used for obtaining the unit time interval photovoltaic power generation profit corresponding to the first preset time according to the first parameter value and the second parameter value corresponding to the first preset time, the first parameter value and the second parameter value corresponding to the second preset time, the preset photovoltaic power generation capacity and the electricity price between the first preset time and the second preset time.
Optionally, the unit for obtaining photovoltaic power generation profit includes:
a historical power load value obtaining subunit, configured to, if it is detected that the photovoltaic power load value corresponding to the first preset time is smaller than zero, obtain, according to the historical power load data, a historical power load value corresponding to the second preset time;
a first photovoltaic power generation profit obtaining subunit, configured to obtain a first photovoltaic power generation profit corresponding to the first preset time according to the historical power load value corresponding to the first preset time, the historical power load value corresponding to the second preset time, and a power price between the first preset time and the second preset time;
a second photovoltaic power generation profit obtaining subunit, configured to obtain, according to the preset photovoltaic power generation capacity, the first parameter value and the second parameter value corresponding to the first preset time, the historical power load value corresponding to the first preset time, and a preset photovoltaic internet access price, a second photovoltaic power generation profit corresponding to the first preset time;
and the second unit time interval photovoltaic power generation profit obtaining subunit is used for adding the first photovoltaic power generation profit and the second photovoltaic power generation profit corresponding to the first preset time, and taking the sum as the unit time interval photovoltaic power generation profit corresponding to the first preset time.
Optionally, the first photovoltaic power generation profit obtaining subunit is specifically configured to obtain an average power load value according to the historical power load value corresponding to the first preset time and the historical power load value corresponding to the second preset time;
and multiplying the average power load value, the power price between the first preset time and the second preset time and the preset unit time period, and taking the product as the first photovoltaic power generation income corresponding to the first preset time.
The photovoltaic power generation profit metering device provided by the embodiment of the invention can execute the photovoltaic power generation profit metering method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the technical solution of the present embodiment, the acquisition, storage, application, and the like of the personal information of the related user all conform to the regulations of the relevant laws and regulations, and do not violate the good custom of the public order.
Example four
FIG. 4 shows a schematic block diagram of an electronic device 40 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from a storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data necessary for the operation of the electronic apparatus 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.
A number of components in the electronic device 40 are connected to the I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Processor 41 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. Processor 41 performs the various methods and processes described above, such as a method of metering photovoltaic power generation revenue.
In some embodiments, the method of metering photovoltaic power generation revenue may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the method for metering photovoltaic power generation revenue described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the method of metering photovoltaic power generation revenue by any other suitable means (e.g., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for measuring photovoltaic power generation income is characterized by comprising the following steps:
acquiring historical electricity load data and historical weather data of a user;
acquiring a photovoltaic power load value according to the historical power load data, the historical weather data and a preset photovoltaic power generation capacity;
and acquiring photovoltaic power generation benefits according to the photovoltaic power load value, the historical power load data, the historical weather data and a preset photovoltaic power generation capacity.
2. The method of claim 1, wherein the historical weather data comprises daily weather conditions, sunrise time and sunset time, and obtaining the photovoltaic power load value according to the historical power load data, the historical weather data and a preset photovoltaic power generation capacity comprises:
acquiring a first parameter value corresponding to a first preset moment according to the daily weather condition, and acquiring a second parameter value corresponding to the first preset moment according to the daily sunrise time and the sunset time;
acquiring a historical electric load value corresponding to a first preset moment according to the historical electric load data;
and acquiring the photovoltaic power load value corresponding to the first preset moment according to the historical power load value corresponding to the first preset moment, the preset photovoltaic power generation capacity, and the first parameter value and the second parameter value corresponding to the first preset moment.
3. The method of claim 2, wherein obtaining photovoltaic generation revenue from the photovoltaic electrical load value, the historical electrical load data, the historical weather data, and a preset photovoltaic generation capacity comprises:
acquiring photovoltaic power generation income in a unit time period corresponding to the first preset time according to the historical electrical load value and the photovoltaic electrical load value corresponding to the first preset time;
and acquiring the photovoltaic power generation income of the unit time period corresponding to each other preset time, and acquiring the photovoltaic power generation income according to the photovoltaic power generation income of the unit time period corresponding to each preset time.
4. The method according to claim 3, wherein obtaining the photovoltaic power generation profit in the unit time period corresponding to the first preset time according to the historical electrical load value and the photovoltaic electrical load value corresponding to the first preset time comprises:
and if the historical electric load value corresponding to the first preset moment is equal to the corresponding photovoltaic electric load value, determining that the photovoltaic power generation income of the unit time interval corresponding to the first preset moment is zero.
5. The method according to claim 3, wherein obtaining a photovoltaic power generation profit per unit time period corresponding to the first preset time according to a historical electrical load value and a photovoltaic electrical load value corresponding to the first preset time comprises:
if the historical power load value corresponding to the first preset moment is larger than the corresponding photovoltaic power load value and the photovoltaic power load value corresponding to the first preset moment is larger than or equal to zero, acquiring a first parameter value and a second parameter value corresponding to a second preset moment according to the daily weather condition, sunrise time and sunset time;
acquiring the electricity price between a first preset time and a second preset time;
and acquiring the photovoltaic power generation income in a unit time period corresponding to the first preset time according to the first parameter value and the second parameter value corresponding to the first preset time, the first parameter value and the second parameter value corresponding to the second preset time, the preset photovoltaic power generation capacity and the electricity price between the first preset time and the second preset time.
6. The method according to claim 5, wherein obtaining a photovoltaic power generation profit per unit time period corresponding to the first preset time according to a historical electrical load value and a photovoltaic electrical load value corresponding to the first preset time comprises:
if the photovoltaic power load value corresponding to the first preset moment is smaller than zero, acquiring a historical power load value corresponding to the second preset moment according to the historical power load data;
acquiring first photovoltaic power generation income corresponding to the first preset time according to the historical electric load value corresponding to the first preset time, the historical electric load value corresponding to the second preset time and the electricity price between the first preset time and the second preset time;
acquiring a second photovoltaic power generation benefit corresponding to the first preset moment according to the preset photovoltaic power generation capacity, a first parameter value and a second parameter value corresponding to the first preset moment, a historical power load value corresponding to the first preset moment and a preset photovoltaic internet price;
and adding the first photovoltaic power generation income and the second photovoltaic power generation income corresponding to the first preset moment, and taking the sum as the photovoltaic power generation income of the unit time period corresponding to the first preset moment.
7. The method according to claim 6, wherein obtaining a first photovoltaic power generation yield corresponding to the first preset time according to the historical electrical load value corresponding to the first preset time, the historical electrical load value corresponding to the second preset time, and the electricity price between the first preset time and the second preset time comprises:
acquiring an average power load value according to the historical power load value corresponding to the first preset time and the historical power load value corresponding to the second preset time;
and multiplying the average power load value, the power price between the first preset time and the second preset time and the preset unit time period, and taking the product as the first photovoltaic power generation income corresponding to the first preset time.
8. A photovoltaic power generation profit metering device, characterized by comprising:
the data acquisition module is used for acquiring historical electricity load data and historical weather data of a user;
the photovoltaic power load value acquisition module is used for acquiring a photovoltaic power load value according to the historical power load data, the historical weather data and a preset photovoltaic power generation capacity;
and the photovoltaic power generation profit acquisition module is used for acquiring photovoltaic power generation profit according to the photovoltaic power load value, the historical power load data, the historical weather data and the preset photovoltaic power generation capacity.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of metering photovoltaic power generation revenue as recited in any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the method of measuring photovoltaic power generation profit according to any one of claims 1 to 7.
CN202210984844.9A 2022-08-17 2022-08-17 Method, device and equipment for metering photovoltaic power generation income and storage medium Pending CN115358778A (en)

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