Electricity price determination method and device, electronic equipment and storage medium

Abstract

The invention provides an electricity price determination method and device, electronic equipment and a storage medium. The market electricity price of an electricity market is acquired; obtaining a target adjustment coefficient and a target adjustment value of the market electricity price; and determining the actual electricity purchasing price based on the market electricity price, the target adjustment coefficient and the target adjustment value, so that automatic adjustment can be performed based on the market electricity price of the electricity market, and the accuracy of calculating the income of the optical storage equipment can be improved.

Description

Technical Field

[0001] The present application belongs to the field of photovoltaic storage software technology, and in particular, relates to a method, device, electronic device and storage medium for determining electricity prices. Background Art

[0002] In existing photovoltaic storage equipment software, software developers are usually able to access the electricity prices of power manufacturers to calculate the benefits of photovoltaic storage equipment. By calculating the benefits, users can understand the benefits of using photovoltaic storage equipment. However, most of these accessed electricity prices are wholesale market electricity prices or retail prices, which may be significantly different from the actual purchase prices of users. These differences may come from additional taxes, discounts, or other regional charging standards. Since the actual purchase price of electricity is different from the electricity price provided by the power manufacturer, the accuracy of calculating the benefits of photovoltaic storage equipment is low. In related technologies, photovoltaic storage equipment software allows users to manually input to set the electricity price. However, the electricity price is usually affected by factors such as season, date and time period, especially the dynamic electricity price, which may change every minute. This makes it difficult for users to manually input the electricity price accurately and timely. In particular, when the electricity price needs to be adjusted frequently, the manual setting method is cumbersome and inefficient. Summary of the invention

[0003] The embodiments of the present application provide a method, device, electronic device and storage medium for determining electricity prices, which can automatically adjust based on the market electricity prices in the electricity market.

[0004] In a first aspect, an embodiment of the present application provides a method for determining an electricity price, comprising:

[0005] Obtain the market electricity price of the electricity market;

[0006] Obtaining a target adjustment coefficient and a target adjustment value of the market electricity price;

[0007] An actual electricity purchase price is determined based on the market electricity price, the target adjustment coefficient, and the target adjustment value.

[0008] In some embodiments, obtaining the target adjustment coefficient and target adjustment value of the market electricity price includes:

[0009] Acquire historical adjustment records of the photovoltaic storage device and current season information, wherein the historical adjustment records include: adjustment coefficients and adjustment values;

[0010] Calculating an average value of the adjustment coefficients to obtain a first adjustment coefficient, and calculating an average value of the adjustment values ​​to obtain a first adjustment value;

[0011] determining an adjustment weight based on the seasonal information;

[0012] determining a second adjustment coefficient based on the adjustment weight and the first adjustment coefficient, and determining the second adjustment value based on the adjustment weight and the first adjustment value;

[0013] The target adjustment coefficient and the target adjustment value are determined based on the second adjustment coefficient and the second adjustment value.

[0014] In some embodiments, determining the target adjustment coefficient and the target adjustment value based on the second adjustment coefficient and the second adjustment value includes:

[0015] outputting the second adjustment coefficient and the second adjustment value;

[0016] In case a triggering operation of adjusting the second adjustment coefficient and the second adjustment value is obtained, determining a target adjustment coefficient and a target adjustment value based on the adjusted adjustment coefficient and adjustment value;

[0017] In a case where it is determined that the second adjustment coefficient and the second adjustment value are to be used, the second adjustment coefficient is determined as the target adjustment coefficient, and the second adjustment value is determined as the target adjustment value.

[0018] In some embodiments, the method further comprises:

[0019] The electricity selling price set by the user is obtained, and the electricity selling price is stored.

[0020] In some embodiments, the method further comprises:

[0021] In the case of obtaining preferential electricity price information, identifying a preferential time period and a preferential electricity price corresponding to the preferential time period based on the preferential electricity price information, the preferential electricity price including: a preferential selling electricity price and a preferential selling electricity price;

[0022] The actual electricity purchase price corresponding to the preferential time period is adjusted to the preferential electricity purchase price, and the electricity selling price corresponding to the preferential time period is adjusted to the preferential electricity selling price.

[0023] In some embodiments, the method further comprises:

[0024] When the preferential buying electricity price and preferential selling electricity price for the preferential time period set by the user are obtained, the actual buying electricity price corresponding to the preferential time period is adjusted to the preferential buying electricity price, and the selling electricity price corresponding to the preferential time period is adjusted to the preferential selling electricity price.

[0025] In some embodiments, the method further comprises:

[0026] Obtain the amount of electricity sold, purchased, and self-generated electricity from the photovoltaic and storage equipment;

[0027] Determining a first income of the photovoltaic storage device based on the sold electricity quantity and the sold electricity price;

[0028] Determine the second income of the photovoltaic storage device based on the purchased electricity, the self-generated electricity and the actual purchased electricity price;

[0029] Determine the total revenue of the photovoltaic storage device based on the first revenue and the second revenue;

[0030] And output the total revenue.

[0031] In a second aspect, an embodiment of the present application provides an electricity price determination device, comprising:

[0032] The first acquisition module is used to obtain the market electricity price of the power market;

[0033] A second acquisition module is used to acquire a target adjustment coefficient and a target adjustment value of the market electricity price;

[0034] An adjustment module is used to determine an actual electricity purchase price based on the market electricity price, the target adjustment coefficient and the target adjustment value.

[0035] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the computer program.

[0036] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, any of the methods described above is implemented.

[0037] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when executed on a terminal device, enables the electronic device to execute any of the methods described above.

[0038] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0039] The electricity price determination method provided in the embodiment of the present application obtains the market electricity price of the electricity market; obtains the target adjustment coefficient and the target adjustment value of the market electricity price; determines the actual purchase electricity price based on the market electricity price, the target adjustment coefficient and the target adjustment value, and can automatically adjust based on the market electricity price of the electricity market, thereby improving the accuracy of calculating the revenue of photovoltaic storage equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0041] Figure 1 A schematic diagram of the implementation process of a method for determining electricity prices provided for the implementation of this application;

[0042] Figure 2 A schematic diagram of an implementation flow of obtaining a target adjustment coefficient and a target adjustment value of the market electricity price provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of the structure of an electricity price determination device provided in an embodiment of the present application;

[0044] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0046] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0047] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0048] As used in the specification of this application and the appended claims, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrases "if it is determined" or "if it is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce detected" or "in response to detecting" depending on the context.

[0049] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0050] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the phrases "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. appearing in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways.

[0051] Based on the technical problems of the related technology, the embodiments of the present application provide a method for determining electricity prices that can be applied to electronic devices such as mobile phones, tablet computers, wearable devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiments of the present application do not impose any restrictions on the specific type of electronic devices, and the electronic device can be a controller of a light storage device.

[0052] The present application provides a method for determining electricity price. Figure 1 A schematic diagram of the implementation flow of a method for determining electricity prices provided for the implementation of this application is shown in FIG. Figure 1 As shown, the electricity price determination method includes:

[0053] Step S101, obtaining the market electricity price of the power market.

[0054] In the embodiment of the present application, the market electricity price of the power market refers to the price used when trading electricity between power suppliers and buyers in the power market. This price is usually updated in real time or regularly, reflecting the supply and demand relationship of electricity and the operation of the power market.

[0055] In the embodiment of the present application, the electronic device can obtain data through the official website of the power market operator, the API interface of the power trading platform, the power industry association or the data released by the relevant government departments.

[0056] Step S102, obtaining a target adjustment coefficient and a target adjustment value of the market electricity price.

[0057] In an embodiment of the present application, the target adjustment coefficient is used to adjust the market electricity price to reflect the deviation between the actual electricity price paid by the user and the market electricity price. The target adjustment coefficient usually takes into account factors such as taxes, service fees, discounts, regional differences, etc. The target adjustment coefficient may be calculated based on information such as the season of historical data. The target adjustment coefficient can be a fixed value or a dynamic value that changes with time and electricity volume. The adjustment value is used to correct the market electricity price to more accurately reflect the actual electricity price paid by the user. It is usually used to compensate for fixed costs, such as taxes, service fees, etc. The adjustment value is usually a fixed value.

[0058] In some embodiments, the target adjustment coefficient and the target adjustment value may also be set by the user according to his or her actual electricity price.

[0059] Step S103, determining an actual electricity purchase price based on the market electricity price, the target adjustment coefficient and the target adjustment value.

[0060] In the embodiment of the present application, the actual purchase price of electricity refers to the price that the user actually pays to purchase electricity. The actual purchase price of electricity takes into account factors such as the market electricity price, the adjustment coefficient and the adjustment value. The actual purchase price of electricity can be calculated by multiplying the market electricity price by the adjustment coefficient and adding the adjustment value. The calculation formula of the actual purchase price of electricity can be expressed as: user actual electricity price = k*price+b, where price is the market electricity price, k is the target adjustment coefficient, and b is the target adjustment value.

[0061] The electricity price determination method provided in the embodiment of the present application obtains the market electricity price of the electricity market; obtains the target adjustment coefficient and the target adjustment value of the market electricity price; determines the actual purchase electricity price based on the market electricity price, the target adjustment coefficient and the target adjustment value, and can automatically adjust based on the market electricity price of the electricity market, thereby improving the accuracy of the calculation of the revenue of the photovoltaic storage equipment.

[0062] In some embodiments, Figure 2 A schematic diagram of an implementation flow of obtaining a target adjustment coefficient and a target adjustment value of the market electricity price provided in an embodiment of the present application is as follows: Figure 2 As shown, step S102 can be implemented by the following steps:

[0063] Step S1021, obtaining historical adjustment records of the photovoltaic storage device and current season information, wherein the historical adjustment records include: an adjustment coefficient and an adjustment value.

[0064] In the embodiments of the present application, the photovoltaic storage device refers to a photovoltaic energy storage system, which is a device that converts solar energy into electrical energy and stores it. It usually includes a solar panel (for collecting solar energy and converting it into electrical energy) and an energy storage device (such as a battery pack, for storing electrical energy for later use). The photovoltaic storage device can be connected to the power grid, charged through the power grid, and can also output electrical energy to the power grid. Historical adjustment records refer to records of past adjustments to the electricity price of photovoltaic storage devices, including adjustment coefficients and adjustment values. Seasonal information refers to the season of the current time (such as spring, summer, autumn, winter). The photovoltaic storage device here can be multiple photovoltaic storage devices with adjustment coefficients and adjustment values ​​set.

[0065] In the embodiment of the present application, the historical adjustment records of the optical storage device can be retrieved from the database, and the season information of the current time can be obtained.

[0066] Step S1022: Calculate the average value of the adjustment coefficients to obtain a first adjustment coefficient, and calculate the average value of the adjustment values ​​to obtain a first adjustment value.

[0067] In the embodiment of the present application, the value obtained by averaging the adjustment coefficients in all historical adjustment records. The value obtained by averaging the adjustment values ​​in all historical adjustment records.

[0068] In the embodiment of the present application, the first adjustment coefficient and the first adjustment value may be calculated using the following formula, where the formula is expressed as:

[0069] Where n is the number of photovoltaic storage devices with set electricity prices, ki and bi are the adjustment coefficient and adjustment value of the ith photovoltaic storage device respectively. The first adjustment system is: k avg is the first adjustment coefficient, b avg is the first adjustment value.

[0070] Step S1023: determining an adjustment weight based on the season information.

[0071] In the embodiment of the present application, different seasons usually correspond to different electricity demands. Different electricity demands and electricity prices are different. Different seasons can correspond to different adjustment weights. In summer and winter, i.e., peak seasons, the adjustment weight can be set to the first adjustment weight; in Spring Festival and winter, i.e., low seasons, the adjustment weight can be set to the second adjustment weight, and the first adjustment weight is greater than the second adjustment weight. Exemplarily, the first adjustment weight can be 1.2, and the second adjustment weight can be set to 0.8.

[0072] Step S1024: determining a second adjustment coefficient based on the adjustment weight and the first adjustment coefficient, and determining the second adjustment value based on the adjustment weight and the first adjustment value.

[0073] In the embodiment of the present application, the first adjustment coefficient and the first adjustment value are adjusted using the adjustment weight to obtain the second adjustment coefficient and the second adjustment value, which can be adjusted using the following formula:

[0074] k0=k avg ·w s ,b0=b avg ·w s ;

[0075] Wherein, k0 is the second adjustment coefficient, and b0 is the second adjustment value.

[0076] Step S1025: determining the target adjustment coefficient and the target adjustment value based on the second adjustment coefficient and the second adjustment value.

[0077] In the embodiment of the present application, step S1025 can be implemented by the following steps:

[0078] Step S1, outputting the second adjustment coefficient and the second adjustment value.

[0079] In the embodiment of the present application, the second adjustment coefficient and the second adjustment value may be output through a user interface.

[0080] Step S2: when a triggering operation of adjusting the second adjustment coefficient and the second adjustment value is obtained, a target adjustment coefficient and a target adjustment value are determined based on the adjusted adjustment coefficient and adjustment value.

[0081] In an embodiment of the present application, a trigger operation refers to an event or an action. When this event or action occurs, it triggers the adjustment of the second adjustment coefficient and the second adjustment value. This trigger operation may be an instruction manually input by the user, or it may be automatically triggered by the system according to certain conditions. The electronic device will continuously monitor whether a trigger operation occurs. This trigger operation may be an instruction input by the user through the interface, such as clicking on buttons such as "adjustment coefficient" and "adjustment value"; the electronic device will adjust the second adjustment coefficient and the second adjustment value based on this operation. This adjustment may involve increasing, decreasing, multiplying or dividing a certain value or ratio. The adjusted new value will be used as the target adjustment coefficient and target adjustment value.

[0082] Step S3: when it is determined that the second adjustment coefficient and the second adjustment value are to be used, the second adjustment coefficient is determined as the target adjustment coefficient, and the second adjustment value is determined as the target adjustment value.

[0083] In an embodiment of the present application, if the electronic device does not receive a trigger operation, or the user decides to directly use the current second adjustment coefficient and second adjustment value, the second adjustment coefficient and second adjustment value are directly determined as the target adjustment coefficient and target adjustment value.

[0084] The method provided in the embodiment of the present application outputs the second adjustment coefficient and the second adjustment value; when a trigger operation for adjusting the second adjustment coefficient and the second adjustment value is obtained, a target adjustment coefficient and a target adjustment value are determined based on the adjusted adjustment coefficient and the adjustment value; when it is determined to use the second adjustment coefficient and the second adjustment value, the second adjustment coefficient is determined as the target adjustment coefficient, and the second adjustment value is determined as the target adjustment value. By inputting the first adjustment coefficient and the second adjustment value, the user can make adjustments according to his actual electricity price requirements.

[0085] The method provided in the embodiment of the present application can automatically determine the target adjustment coefficient and the target adjustment value by acquiring the historical adjustment records of the photovoltaic storage equipment and the seasonal information of the current time, and can automatically adjust the electricity price, thereby avoiding the tedious operation of manually entering a complex electricity price formula, and at the same time improving the accuracy and practicality of the electricity price setting.

[0086] In some embodiments, the method further comprises:

[0087] Step S104, obtaining the electricity selling price set by the user, and storing the electricity selling price.

[0088] In an embodiment of the present application, the photovoltaic storage device can supply power to the power grid, so that the electricity can be sold. The selling price can be a fixed price or a dynamically adjusted price. For example, the electricity price is dynamically adjusted according to the market electricity price. An input box or selection box can be displayed to the user through the user interface (UI) so that the user can enter or select the selling price they want to set. The user enters their desired selling price in the input box or selection box, or selects one from the preset options. When the user submits the input (for example, by clicking the "Save" or "Confirm" button), the electronic device needs to capture this data, and the selling price can be saved at this time for calculating the revenue.

[0089] In the related art, power companies may send preferential electricity price notifications to users via email or other forms, informing users that the electricity price will be reduced on a certain day or in a certain time period in the future. When making adjustments, users need to perform complex operations to set the electricity price. In order to solve this problem, in some embodiments, the method further includes:

[0090] Step S105 , when the electricity price preferential information is obtained, identifying the preferential time period and the preferential electricity price corresponding to the preferential time period based on the electricity price preferential information, wherein the preferential electricity price includes: a preferential buying electricity price and a preferential selling electricity price.

[0091] In the embodiment of the present application, the electricity price preferential information can be obtained by interface calling, data capture or user input. Taking data capture as an example, the electricity price preferential information can be obtained from the power grid company, energy supplier or third-party platform. Taking user input as an example, the power grid company, energy supplier or third-party platform can send the electricity price preferential information to the user's mailbox. The user can input the electricity price preferential information into the electronic device, so that the electronic device can obtain the electricity price preferential information.

[0092] In the embodiment of the present application, the electricity price discount information can be parsed to extract the discount time period and the corresponding discount buying price and discount selling price. The electronic device can use natural language processing technology for automatic interpretation and use text parsing algorithms to identify time periods and electricity price information.

[0093] Step S106, adjusting the actual electricity purchase price corresponding to the preferential time period to the preferential electricity purchase price, and adjusting the electricity selling price corresponding to the preferential time period to the preferential electricity selling price.

[0094] In the embodiment of the present application, the electronic device can automatically adjust the actual electricity purchase price corresponding to the preferential time period to the preferential electricity purchase price, and adjust the electricity selling price corresponding to the preferential time period to the preferential electricity selling price.

[0095] In the embodiment of the present application, when adjusting the actual purchase price and the sale price of electricity, conversion of multiple languages ​​can be supported.

[0096] In some embodiments, the user can set whether to enable the automatic synchronization function, or manually confirm the synchronization results. This method can regularly check updates to ensure the real-time and accuracy of preferential information without manual intervention. When the user sets manual confirmation, after the actual purchase price corresponding to the preferential time period is adjusted to the preferential purchase price and the selling price corresponding to the preferential time period is adjusted to the preferential selling price, the result can be displayed to the user, and the user can submit after a second confirmation. If the user enables the automatic synchronization function, the replacement is performed directly.

[0097] The method provided in the embodiment of the present application can adjust the purchase price and the selling price of electricity only in a specific time period, so as not to affect the purchase price and the selling price of electricity in other time periods. The tedious operation of manual input one by one can be avoided, the efficiency can be improved, and the risk of human error input can be reduced.

[0098] In some embodiments, when the preferential buying electricity price and preferential selling electricity price for the preferential time period set by the user are obtained, the actual buying electricity price corresponding to the preferential time period is adjusted to the preferential buying electricity price, and the selling electricity price corresponding to the preferential time period is adjusted to the preferential selling electricity price.

[0099] In the embodiment of the present application, the user can independently set the preferential buying and selling prices of electricity during the preferential time period through the system interface, and manually enter the start and end time of the preferential time period, as well as the buying and selling prices. This method is suitable for users who are familiar with the details of the preferential packages, which is convenient and flexible.

[0100] In some embodiments, the method further comprises:

[0101] Step S107, obtaining the amount of electricity sold, the amount of electricity purchased, and the amount of electricity generated for self-use by the photovoltaic storage device.

[0102] In the embodiment of the present application, the amount of electricity sold is the total amount of electricity sold by the photovoltaic storage device to the power grid or energy supplier within a specific time period. The amount of electricity can be sold when the electricity generated by the photovoltaic storage device exceeds its own demand. The amount of electricity purchased refers to the total amount of electricity purchased by the photovoltaic storage device from the power grid or energy supplier within a specific time period. When the electricity generated by the photovoltaic storage device is not enough to meet its own needs, it is necessary to buy electricity. The amount of electricity generated for self-use refers to the total amount of electricity used by the photovoltaic storage device for its own load (such as lighting, heating, etc.) within a specific time period.

[0103] In the embodiment of the present application, the amount of electricity sold, the amount of electricity purchased, and the amount of electricity generated for self-use by the photovoltaic storage device can be obtained from the intelligent control system of the photovoltaic storage device.

[0104] Step S108: determining a first income of the photovoltaic storage device based on the sold electricity amount and the sold electricity price.

[0105] In the embodiment of the present application, the amount of electricity sold is multiplied by the electricity selling price to obtain the income obtained by the photovoltaic storage device through the sale of electricity, that is, the first income.

[0106] Step S109, determining a second income of the photovoltaic storage device based on the purchased electricity amount, the self-generated electricity amount and the actual purchased electricity price.

[0107] In an embodiment of the present application, the value obtained by subtracting the amount of electricity purchased from the amount of electricity generated for self-use can be multiplied by the actual purchase price of electricity to obtain a second benefit. In some embodiments, the amount of electricity purchased (the amount of electricity purchased from the power grid) can be multiplied by the actual purchase price of electricity to obtain the cost of purchasing electricity for the photovoltaic storage device in a specific time period. The amount of electricity generated for self-use is multiplied by the actual purchase price of electricity to obtain the saved electricity bill. Because if it is assumed that this amount of electricity generated for self-use is purchased, the same electricity bill needs to be paid. The saved electricity bill can be subtracted from the purchase point cost to obtain the second benefit.

[0108] Step S110: determining a total revenue of the photovoltaic storage device based on the first revenue and the second revenue.

[0109] In the embodiment of the present application, the first income can be added to the second income to obtain the total income.

[0110] Step S111, and output the total revenue.

[0111] In the embodiment of the present application, the total revenue can be displayed on the user interface of the optical storage software.

[0112] The method provided in the embodiment of the present application can enable users to understand the benefits of energy storage equipment by displaying the total benefit, making the calculated benefit more accurate.

[0113] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0114] According to the aforementioned embodiments, the embodiments of the present application provide an electricity price determination device, and the modules included in the device, as well as the units included in the modules, can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MPU, Microprocessor Unit), a digital signal processor (DSP, Digital Signal Processing) or a field programmable gate array (FPGA, Field Programmable Gate Array), etc.

[0115] The present application provides a device for determining electricity price. Figure 3 A schematic diagram of a structure of an electricity price determination device provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the electricity price determination device 300 includes:

[0116] The first acquisition module 301 is used to acquire the market electricity price of the power market;

[0117] The second acquisition module 302 is used to acquire the target adjustment coefficient and target adjustment value of the market electricity price;

[0118] The adjustment module 303 is used to determine the actual purchase price of electricity based on the market electricity price, the target adjustment coefficient and the target adjustment value.

[0119] In some embodiments, the second acquisition module includes:

[0120] A first acquisition unit is used to acquire a historical adjustment record of the optical storage device and season information of the current time, wherein the historical adjustment record includes: an adjustment coefficient and an adjustment value;

[0121] A first calculation unit, configured to obtain an average value of the adjustment coefficients to obtain a first adjustment coefficient, and obtain an average value of the adjustment values ​​to obtain a first adjustment value;

[0122] A first determining unit, configured to determine an adjustment weight based on the season information;

[0123] a second calculation unit, configured to determine a second adjustment coefficient based on the adjustment weight and the first adjustment coefficient, and to determine the second adjustment value based on the adjustment weight and the first adjustment value;

[0124] A second determining unit is configured to determine the target adjustment coefficient and the target adjustment value based on the second adjustment coefficient and the second adjustment value.

[0125] In some embodiments, the second determining unit includes:

[0126] an output subunit, configured to output the second adjustment coefficient and the second adjustment value;

[0127] an adjusting subunit, configured to determine a target adjustment coefficient and a target adjustment value based on the adjusted adjustment coefficient and adjustment value when a triggering operation for adjusting the second adjustment coefficient and the second adjustment value is acquired;

[0128] A determination subunit is used to determine the second adjustment coefficient as the target adjustment coefficient and the second adjustment value as the target adjustment value when it is determined that the second adjustment coefficient and the second adjustment value are to be used.

[0129] In some embodiments, the electricity price determination device further comprises:

[0130] The first setting module is used to obtain the electricity selling price set by the user and store the electricity selling price.

[0131] In some embodiments, the electricity price determining device:

[0132] A first determination module is used to identify a preferential time period and a preferential electricity price corresponding to the preferential time period based on the electricity price preferential information when obtaining the electricity price preferential information, wherein the preferential electricity price includes: a preferential selling electricity price and a preferential selling electricity price;

[0133] The optimized electricity price adjustment module is used to adjust the actual electricity purchase price corresponding to the preferential time period to the preferential electricity purchase price, and adjust the electricity selling price corresponding to the preferential time period to the preferential electricity selling price.

[0134] In some embodiments, the electricity price determination device further comprises:

[0135] The second setting module is used to adjust the actual buying electricity price corresponding to the preferential time period to the preferential buying electricity price, and adjust the selling electricity price corresponding to the preferential time period to the preferential selling electricity price, upon obtaining the preferential buying electricity price and preferential selling electricity price for the preferential time period set by the user.

[0136] In some embodiments, the electricity price determination device further comprises:

[0137] The third acquisition module is used to obtain the amount of electricity sold, purchased, and self-generated electricity of the photovoltaic storage device;

[0138] A second determination module is used to determine a first income of the photovoltaic storage device based on the sold electricity quantity and the sold electricity price;

[0139] A third determination module is used to determine the first income of the photovoltaic storage device based on the purchased electricity, the self-generated electricity and the actual purchased electricity price;

[0140] A fourth determining module, configured to determine a total revenue of the photovoltaic storage device based on the first revenue and the second revenue;

[0141] An output module is used to output the total revenue.

[0142] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0143] in addition, Figure 3 The electricity price determination device shown may be a software unit, a hardware unit, or a combination of software and hardware, or may be integrated into the electronic device as an independent pendant, or may exist as an independent terminal device.

[0144] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0145] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4 As shown, the electronic device 3 of this embodiment may include: at least one processor 30 ( Figure 4Only one processor 30 is shown in the figure), a memory 31, and a computer program 32 stored in the memory 31 and executable on at least one processor 30. When the processor 30 executes the computer program 32, the steps in any of the above-mentioned method embodiments are implemented; or, when the processor 30 executes the computer program 32, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0146] Exemplarily, the computer program 32 may be divided into one or more modules / units, one or more modules / units are stored in the memory 31, and are executed by the processor 30 to complete the present application. One or more modules / units may be a series of computer program 32 instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 32 in the electronic device 3.

[0147] The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program 32. When the computer program 32 is executed by the processor 30, the steps in the above-mentioned method embodiments can be implemented.

[0148] An embodiment of the present application provides a computer program product. When the computer program product runs on an electronic device, the electronic device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0149] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. According to this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program 32, and the computer program 32 can be stored in a computer-readable storage medium, and the computer program 32 can implement the steps of the above-mentioned various method embodiments when executed by the processor 30. Among them, the computer program 32 includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device capable of carrying the computer program code to the terminal, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electric carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0150] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0151] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0152] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0153] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0154] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for determining electricity price, characterized in that: include: Obtain the market electricity price of the electricity market; Obtaining a target adjustment coefficient and a target adjustment value of the market electricity price; An actual electricity purchase price is determined based on the market electricity price, the target adjustment coefficient, and the target adjustment value.

2. The method according to claim 1, characterized in that The obtaining of the target adjustment coefficient and target adjustment value of the market electricity price includes: Acquire historical adjustment records of the photovoltaic storage device and current season information, wherein the historical adjustment records include: adjustment coefficients and adjustment values; Calculating an average value of the adjustment coefficients to obtain a first adjustment coefficient, and calculating an average value of the adjustment values ​​to obtain a first adjustment value; determining an adjustment weight based on the seasonal information; determining a second adjustment coefficient based on the adjustment weight and the first adjustment coefficient, and determining a second adjustment value based on the adjustment weight and the first adjustment value; The target adjustment coefficient and the target adjustment value are determined based on the second adjustment coefficient and the second adjustment value.

3. The method according to claim 2, characterized in that The determining the target adjustment coefficient and the target adjustment value based on the second adjustment coefficient and the second adjustment value comprises: outputting the second adjustment coefficient and the second adjustment value; In case a triggering operation of adjusting the second adjustment coefficient and the second adjustment value is obtained, determining a target adjustment coefficient and a target adjustment value based on the adjusted adjustment coefficient and adjustment value; In a case where it is determined that the second adjustment coefficient and the second adjustment value are to be used, the second adjustment coefficient is determined as the target adjustment coefficient, and the second adjustment value is determined as the target adjustment value.

4. The method according to claim 1, characterized in that: The method further comprises: The electricity selling price set by the user is obtained, and the electricity selling price is stored.

5. The method according to claim 4, characterized in that The method further comprises: In the case of obtaining preferential electricity price information, identifying a preferential time period and a preferential electricity price corresponding to the preferential time period based on the preferential electricity price information, wherein the preferential electricity price includes: a preferential buying electricity price and a preferential selling electricity price; The actual electricity purchase price corresponding to the preferential time period is adjusted to the preferential electricity purchase price, and the electricity selling price corresponding to the preferential time period is adjusted to the preferential electricity selling price.

6. The method according to claim 4, characterized in that The method further comprises: When the preferential buying electricity price and preferential selling electricity price for the preferential time period set by the user are obtained, the actual buying electricity price corresponding to the preferential time period is adjusted to the preferential buying electricity price, and the selling electricity price corresponding to the preferential time period is adjusted to the preferential selling electricity price.

7. The method according to claim 5, characterized in that The method further comprises: Obtain the amount of electricity sold, purchased, and self-generated electricity from the photovoltaic and storage equipment; Determining a first income of the photovoltaic storage device based on the sold electricity quantity and the sold electricity price; Determine the second income of the photovoltaic storage device based on the purchased electricity, the self-generated electricity and the actual purchased electricity price; Determine the total revenue of the photovoltaic storage device based on the first revenue and the second revenue; And output the total revenue.

8. An electricity price determination device, characterized in that: include: The first acquisition module is used to obtain the market electricity price of the power market; A second acquisition module is used to acquire a target adjustment coefficient and a target adjustment value of the market electricity price; An adjustment module is used to determine an actual electricity purchase price based on the market electricity price, the target adjustment coefficient and the target adjustment value.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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