Photovoltaic consumption method and device, electronic equipment and storage medium

Abstract

The invention provides a photovoltaic consumption method and device, electronic equipment and a storage medium, and the method comprises the steps: predicting the photovoltaic power generation power and the charging load power of a charging station, so as to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve in a future preset time period; according to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capability of a power supply line for supplying power to the charging station, identifying a charging invitation time period and a discharging invitation time period in a future preset time period; when the charging invitation time period is identified, generating and issuing a charging invitation order corresponding to the charging invitation time period; and when the discharge invitation time period is identified, generating and issuing a discharge invitation order corresponding to the discharge invitation time period. By generating and issuing the charging invitation order and the discharging invitation order, the photovoltaic power generation and load consumption of the charging station can be balanced, and the heavy load of the power supply line can be avoided, thereby ensuring the operation stability of the power distribution network.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic technology, and in particular to a photovoltaic absorption method, device, electronic equipment and storage medium. Background Art

[0002] With the rapid development of the photovoltaic industry, the proportion of distributed photovoltaics is also gradually increasing. On the one hand, distributed photovoltaics are usually concentrated in suburban and rural areas, but the load absorption capacity of suburban and rural areas is insufficient, which will cause the surplus power to be sent back to the distribution network, affecting the stable operation of the distribution network; on the other hand, although urban areas have a large amount of load absorption capacity, the distributed photovoltaic power generation capacity in urban areas is weak and cannot meet the load absorption needs of urban areas.

[0003] Therefore, how to effectively balance photovoltaic power generation and load consumption is an urgent problem that needs to be solved today. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a photovoltaic consumption method, device, electronic device and storage medium to balance photovoltaic power generation and load consumption.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A first aspect of an embodiment of the present invention discloses a photovoltaic consumption method, the method comprising:

[0007] Predict the photovoltaic power generation power and charging load power of the charging station to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve within a preset time period in the future;

[0008] According to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station, identifying the charging invitation time period and the discharging invitation time period within the future preset time period;

[0009] When the charging invitation time period is identified, generating and issuing a charging invitation order corresponding to the charging invitation time period;

[0010] When the discharge invitation time period is identified, a discharge invitation order corresponding to the discharge invitation time period is generated and issued.

[0011] Preferably, identifying the charging invitation time period and the discharging invitation time period within the future preset time period according to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station includes:

[0012] Comparing the photovoltaic power generation prediction curve with the charging load power prediction curve to identify a charging invitation period within the future preset time period, wherein the charging invitation period is a period when the photovoltaic power generation power is higher than the charging load power;

[0013] The charging load power prediction curve is compared with the supporting capacity of the power supply line supplying power to the charging station to identify the discharge invitation period within the future preset time period, wherein the discharge invitation period is a period when the charging load power is higher than the supporting capacity of the power supply line.

[0014] Preferably, when the charging invitation time period is identified, generating and issuing a charging invitation order corresponding to the charging invitation time period includes:

[0015] When the charging invitation period is identified, the photovoltaic excess power generation per unit time in the charging invitation period is calculated based on the photovoltaic power generation power prediction curve and the charging load power prediction curve;

[0016] Generate at least one charging invitation order according to the unit time and the photovoltaic excess power generation per unit time, wherein the charging invitation order at least includes: chargeable power, charging time period, charging power price and charging service fee;

[0017] The charging invitation order is published.

[0018] Preferably, when the discharge invitation time period is identified, generating and issuing a discharge invitation order corresponding to the discharge invitation time period includes:

[0019] When the discharge invitation period is identified, the load overload power per unit time in the discharge invitation period is calculated based on the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station;

[0020] Generate at least one discharge invitation order according to the unit time and the load overload quantity per unit time, wherein the discharge invitation order at least includes: dischargeable quantity, discharge time period and discharge electricity price;

[0021] The discharge invitation order is issued.

[0022] Preferably, after issuing the charging invitation order, the method further includes:

[0023] If the charging invitation order is not accepted, reducing the charging electricity price of the charging invitation order until the charging invitation order is accepted or until the charging electricity price is reduced to a preset minimum charging electricity price;

[0024] If the charging invitation order is accepted and executed by any user, the final charging fee is calculated according to the charging invitation order and the actual charging amount of the user.

[0025] Preferably, after issuing the discharge invitation order, the method further includes:

[0026] If the discharge invitation order is not accepted, increase the discharge electricity price of the discharge invitation order until the discharge invitation order is accepted or until the discharge electricity price is increased to a preset maximum discharge electricity price;

[0027] If the discharge invitation order is accepted and executed by any user, the final discharge fee is calculated according to the discharge invitation order and the actual discharge amount of the user.

[0028] A second aspect of an embodiment of the present invention discloses a photovoltaic absorption device, the device comprising:

[0029] A prediction unit, used to predict the photovoltaic power generation power and charging load power of the charging station, so as to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve within a preset time period in the future;

[0030] an identification unit, configured to identify a charging invitation time period and a discharging invitation time period within the future preset time period according to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station;

[0031] A charging invitation unit, configured to generate and publish a charging invitation order corresponding to the charging invitation time period when the charging invitation time period is identified;

[0032] The discharge invitation unit is used to generate and publish a discharge invitation order corresponding to the discharge invitation time period when the discharge invitation time period is identified.

[0033] Preferably, the identification unit comprises:

[0034] A first identification module is used to compare the photovoltaic power generation prediction curve and the charging load power prediction curve to identify the charging invitation period within the future preset time period, and the charging invitation period is: a period when the photovoltaic power generation power is higher than the charging load power;

[0035] The second identification module is used to compare the charging load power prediction curve with the supporting capacity of the power supply line supplying power to the charging station to identify the discharge invitation period within the future preset time period, and the discharge invitation period is: a period when the charging load power is higher than the supporting capacity of the power supply line.

[0036] A third aspect of an embodiment of the present invention discloses an electronic device, comprising: a processor and a memory, wherein the processor and the memory are connected via a communication bus; wherein the processor is used to call and execute a program stored in the memory; and the memory is used to store a program, wherein the program is used to implement the photovoltaic absorption method disclosed in the first aspect of the embodiment of the present invention.

[0037] A fourth aspect of an embodiment of the present invention discloses a computer-readable storage medium, in which computer-executable instructions are stored. The computer-executable instructions are used to execute the photovoltaic absorption method disclosed in the first aspect of the embodiment of the present invention.

[0038] A fifth aspect of an embodiment of the present invention discloses a computer program product, including a computer program / instruction, which, when executed by a processor, implements the photovoltaic absorption method disclosed in the first aspect of an embodiment of the present invention.

[0039] Based on the above-mentioned embodiment of the present invention, a photovoltaic consumption method, device, electronic device and storage medium are provided. The method is: predicting the photovoltaic power generation power and charging load power of the charging station to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve within a preset time in the future; identifying the charging invitation period and the discharge invitation period within the preset time in the future according to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station; when the charging invitation period is identified, generating and publishing a charging invitation order corresponding to the charging invitation period; when the discharge invitation period is identified, generating and publishing a discharge invitation order corresponding to the discharge invitation period. In this scheme, the photovoltaic power generation power prediction curve and the charging load power prediction curve of the charging station are predicted, and the charging invitation order and the discharge invitation order are generated and published according to the photovoltaic power generation power prediction curve and the charging load power prediction curve, so as to balance the photovoltaic power generation and load consumption of the charging station, and also avoid overloading of the power supply line, and ensure the operation stability of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, 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 embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0041] Figure 1 A flow chart of a photovoltaic consumption method provided by an embodiment of the present invention;

[0042] Figure 2 An example diagram of a charging invitation period and a discharging invitation period provided in an embodiment of the present invention;

[0043] Figure 3 An example diagram of an invitation mode and an economic mode provided by an embodiment of the present invention;

[0044] Figure 4 A flowchart of issuing a charging invitation order provided by an embodiment of the present invention;

[0045] Figure 5 A flow chart of issuing a discharge invitation order provided by an embodiment of the present invention;

[0046] Figure 6 An example diagram of the structure of an integrated system provided by an embodiment of the present invention;

[0047] Figure 7 A structural block diagram of a photovoltaic absorption device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] In this application, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0050] With the rapid development of the photovoltaic industry, the proportion of distributed photovoltaics is gradually increasing. On the one hand, distributed photovoltaics are usually concentrated in areas with abundant rooftop resources such as suburban areas and rural areas, but the load absorption capacity of suburban areas and rural areas is insufficient, which will cause the surplus power to be sent back to the distribution network, affecting the stable operation of the distribution network; on the other hand, although urban areas have a large amount of load absorption capacity, the distributed photovoltaic power generation capacity in urban areas is relatively weak (distributed resource power generation capacity is insufficient), which is not enough to meet the load absorption needs of urban areas. The regional imbalance of photovoltaic power generation capacity and load absorption capacity has seriously affected the development of the photovoltaic industry.

[0051] Therefore, the embodiments of the present invention provide a photovoltaic consumption method, device, electronic device and storage medium, which predict the photovoltaic power generation prediction curve and charging load power prediction curve of the charging station, generate and publish charging invitation orders and discharging invitation orders according to the photovoltaic power generation prediction curve and the charging load power prediction curve, so as to balance the photovoltaic power generation and load consumption of the charging station, avoid overloading of the power supply line, and ensure the operating stability of the distribution network.

[0052] It should be noted that the photovoltaic consumption method proposed in this scheme is implemented based on the scheduling of electric vehicles V2G (Vehicle to Grid, V2G). The scheme is described in detail through various embodiments below.

[0053] See also Figure 1 , shows a flow chart of a photovoltaic consumption method provided by an embodiment of the present invention, the photovoltaic consumption method comprising:

[0054] Step S101: predicting the photovoltaic power generation power and charging load power of the charging station to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve within a preset time period in the future.

[0055] In the process of specifically implementing step S101, the photovoltaic power generation power of the charging station is predicted based on an artificial intelligence algorithm to generate a photovoltaic power generation power prediction curve of the charging station for a preset time in the future; and the charging load power of the charging station is predicted based on an artificial intelligence algorithm to generate a charging load power prediction curve of the charging station for a preset time in the future.

[0056] For example: based on the artificial intelligence algorithm, the photovoltaic power generation power of the charging station is predicted on the day before, and the photovoltaic power generation power prediction curve for the next 24 hours is generated; and based on the artificial intelligence algorithm, the charging load power of the charging station is predicted on the day before, and the charging load power prediction curve for the next 24 hours is generated.

[0057] Step S102: According to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station, the charging invitation time period and the discharging invitation time period within a preset time period in the future are identified.

[0058] It should be noted that the power supply line for the charging station is: the line of the power grid that supplies power to the charging station; the charging station is equipped with at least V2G charging piles, loads and photovoltaics.

[0059] In the specific implementation of step S102, after the photovoltaic power generation power prediction curve and the charging load power prediction curve are generated, the line operation of the charging station is analyzed according to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station, and then the charging invitation time period and the discharging invitation time period within the preset time period in the future are identified;

[0060] According to the identification results of the charging invitation time period and the discharging invitation time period, it is determined whether a charging invitation order and / or a discharging invitation order needs to be generated.

[0061] In some embodiments, the specific method for identifying the charging invitation time period and the discharging invitation time period within the future preset time period is: comparing the photovoltaic power generation power prediction curve and the charging load power prediction curve to identify the charging invitation time period within the future preset time period, and the charging invitation time period is: the time period when the photovoltaic power generation power is higher than the charging load power.

[0062] That is to say, by comparing the photovoltaic power prediction curve and the charging load power prediction curve, the time period when the line load of the charging station cannot fully absorb the photovoltaic power generation (i.e., the time period when the photovoltaic power generation power is higher than the charging load power) is identified. The "time period when the line load cannot fully absorb the photovoltaic power generation" is the charging invitation period. In order to absorb the photovoltaic power generation, a charging invitation order corresponding to the charging invitation period can be generated. For instructions on generating a charging invitation order, please see the explanation of the subsequent step S103.

[0063] Compare the charging load power prediction curve with the supporting capacity of the power supply line supplying power to the charging station to identify the discharge invitation period within the future preset time period. The discharge invitation period is the period when the charging load power is higher than the supporting capacity of the power supply line.

[0064] That is to say, by comparing the charging load power prediction curve with the supporting capacity of the power supply line supplying power to the charging station, the time period when the power supply line cannot support the load power consumption (i.e. the time period when the charging load power is higher than the supporting capacity of the power supply line) is identified. The “time period when the power supply line cannot support the load power consumption” is the discharge invitation period;

[0065] The power supply line may be overloaded during the discharge invitation period. In order to share the pressure of the power supply line, it is necessary to generate a discharge invitation order corresponding to the discharge invitation period. For details on generating the discharge invitation order, please refer to the explanation of the subsequent step S104.

[0066] For example: From Figure 2 As shown in the example diagram of the charging invitation period and the discharging invitation period, it can be seen that by comparing the photovoltaic power generation power prediction curve and the charging load power prediction curve, the charging invitation period can be identified and the charging invitation order corresponding to the charging invitation period can be generated;

[0067] By comparing the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station, the discharge invitation period can be identified and a discharge invitation order corresponding to the discharge invitation period can be generated.

[0068] During the comparison of the above-mentioned photovoltaic power generation power prediction curve, charging load power prediction curve, and the supporting capacity of the power supply line, a charging invitation period and / or a discharging invitation period may be identified, or neither a charging invitation period nor a discharging invitation period may be identified (i.e., the line load completely absorbs the photovoltaic power generation, and the power supply line can support the load power consumption).

[0069] If a charging invitation period is identified, step S103 is executed to generate a charging invitation order; if a discharging invitation period is identified, step S104 is executed to generate a discharging invitation order; if neither a charging invitation period nor a discharging invitation period is identified, there is no need to generate a charging invitation order nor a discharging invitation order.

[0070] Step S103: When a charging invitation time period is identified, a charging invitation order corresponding to the charging invitation time period is generated and issued.

[0071] In the specific implementation of step S103, when the charging invitation period is identified, the photovoltaic excess power generation per unit time in the charging invitation period is calculated based on the photovoltaic power generation power prediction curve and the charging load power prediction curve.

[0072] For example: Based on the photovoltaic power generation power forecast curve and the charging load power forecast curve, the photovoltaic over-generation per hour during the charging invitation period is calculated.

[0073] At least one charging invitation order is generated according to the unit time and the photovoltaic excess power generation per unit time. The charging invitation order includes at least: the chargeable power, the charging time period, the charging electricity price and the charging service fee; among which, the charging electricity price of the charging invitation order is the billing standard of the charging fee when the user charges at the charging station, and the charging electricity price can be set to 90% of the standard electricity price.

[0074] Specifically, the charging invitation period is divided into multiple charging periods according to the unit time length, and the length of each charging period is the unit time length; for each charging period, at least one charging invitation order is generated for the charging period according to the photovoltaic over-generation in the charging period.

[0075] It should be noted that when generating a charging invitation order, the chargeable power of each charging invitation order cannot be higher than the preset maximum chargeable power (limiting the maximum value of the chargeable power of a single charging invitation order);

[0076] If the photovoltaic excess power generation in a certain charging period exceeds the maximum charging power, then multiple charging invitation orders will need to be generated during the charging period to fully absorb the photovoltaic power generation.

[0077] For example: the charging invitation period is divided into multiple charging periods by hour. For a certain charging period, if the photovoltaic super-generation capacity in the charging period exceeds the maximum charging capacity (equivalent to the photovoltaic super-generation capacity in a certain hour exceeding the maximum charging capacity), multiple charging invitation orders are generated in the charging period.

[0078] After generating a charging invitation order, publish the charging invitation order. Specifically, the charging invitation order can be published in an APP or mini program to invite users to go to a charging station to charge.

[0079] In some embodiments, after a charging invitation order is issued, if the charging invitation order is not accepted, the charging electricity price of the charging invitation order is reduced until the charging invitation order is accepted or until the charging electricity price is reduced to a preset minimum charging electricity price.

[0080] For example: after issuing a charging invitation order, if the charging invitation order is not accepted, the charging electricity price of the charging invitation order will be reduced by "reducing the charging electricity price by 10% every hour" until a user accepts the charging invitation order, or until the charging electricity price of the charging invitation order is reduced to the minimum charging electricity price.

[0081] If the charging invitation order is accepted and executed by any user, the final charging fee will be calculated based on the charging invitation order and the user's actual charging amount.

[0082] Step S104: when the discharge invitation time period is identified, a discharge invitation order corresponding to the discharge invitation time period is generated and issued.

[0083] In the process of specifically implementing step S104, when the discharge invitation period is identified, the load overload power per unit time in the discharge invitation period is calculated based on the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station. The load overload power is: the power consumption that exceeds the supporting capacity of the power supply line.

[0084] For example: based on the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station, the load overload power per hour during the discharge invitation period is calculated.

[0085] At least one discharge invitation order is generated according to the unit time and the load overload power per unit time, and the discharge invitation order at least includes: the dischargeable power, the discharge time period and the discharge power price; wherein the discharge invitation order is used to invite the user to go to the charging station to discharge, specifically, the user who accepts the discharge invitation order discharges other electric vehicles and loads in the charging station through the electric vehicle, and the electric vehicle uses V2G technology to discharge other electric vehicles and loads in the charging station;

[0086] The discharge electricity price of the discharge invitation order is the charging standard for the discharge fee (compensation to the user) when the user discharges at the charging station, and the discharge electricity price can be set to 60% of the standard electricity price.

[0087] Specifically, the discharge invitation period is divided into a plurality of discharge periods according to the unit time length, and the length of each discharge period is the unit time length; for each discharge period, at least one discharge invitation order is generated for the discharge period according to the load overload power of the discharge period.

[0088] It should be noted that when generating a discharge invitation order, the dischargeable power of each discharge invitation order cannot be higher than the preset maximum discharge power (limiting the maximum value of the dischargeable power of a single discharge invitation order);

[0089] If the load overload power in a certain discharge period exceeds the maximum discharge power, then multiple discharge invitation orders need to be generated during the discharge period to fully share the pressure on the power supply line.

[0090] For example: the discharge invitation period is divided into multiple discharge periods by hour. For a certain discharge period, if the load overload power in the discharge period exceeds the maximum discharge power (equivalent to the load overload power in a certain hour exceeding the maximum discharge power), multiple discharge invitation orders are generated in the discharge period.

[0091] After generating the discharge invitation order, publish the discharge invitation order. Specifically, the discharge invitation order can be published in an APP or mini program to invite the user to go to the charging station to discharge.

[0092] In some embodiments, after issuing a discharge invitation order, if the discharge invitation order is not accepted, the discharge electricity price of the discharge invitation order is increased until the discharge invitation order is accepted or until the discharge electricity price is increased to a preset maximum discharge electricity price.

[0093] For example: after issuing a discharge invitation order, if the discharge invitation order is not accepted, the discharge electricity price of the discharge invitation order is increased by "increasing the discharge electricity price by 10% every hour" until a user accepts the discharge invitation order, or until the discharge electricity price of the discharge invitation order is increased to the maximum discharge electricity price.

[0094] If the discharge invitation order is accepted and executed by any user, the final discharge fee is calculated according to the discharge invitation order and the user's actual discharge amount.

[0095] It should be noted that after issuing a charging invitation order and a discharging invitation order, the user can only choose one of the invitation orders at the same time.

[0096] In actual application, the user can start the electric vehicle for charging and discharging according to the time period (charging period or discharging period) of the accepted invitation order (charging invitation order or discharging invitation order); when the user starts the electric vehicle for charging and discharging, the user can choose to execute only the invitation mode or the economic mode, and formulate a charging and discharging plan based on the mode selected by the user.

[0097] Combination Figure 3 The example diagrams of the invitation mode and the economic mode are shown, and the contents of charging and discharging in the invitation mode and the economic mode are described in detail:

[0098] In the invitation mode, if the user accepts the charging invitation order, the electric vehicle will only be charged during the charging period of the charging invitation order, and the amount of electricity charged by the electric vehicle will be equal to the chargeable amount of the charging invitation order.

[0099] In the invitation mode, if the user accepts the discharge invitation order, the electric vehicle will only discharge during the discharge period of the discharge invitation order, and the amount of electricity discharged by the electric vehicle is equal to the dischargeable amount of the discharge invitation order.

[0100] In the economic mode, if the user accepts the discharge invitation order, the electric vehicle will only discharge during the discharge period of the discharge invitation order, and the amount of electricity discharged by the electric vehicle is equal to the dischargeable amount of the discharge invitation order.

[0101] In economic mode, if the user accepts a charging invitation order, for the amount of electricity charged in the electric vehicle, the user can continue to charge during other time periods outside the charging period of the charging invitation order, on the premise that the rechargeable amount of the charging invitation order is met, thereby ensuring the user's travel needs.

[0102] After the user completes charging, the final charging fee will be settled as follows: if the amount of electricity charged by the electric vehicle exceeds the rechargeable amount of the charging invitation order, the excess amount will be settled according to the normal charging price (standard charging operation price), and the portion that does not exceed will be settled according to the charging electricity price of the charging invitation order; if the amount of electricity charged by the electric vehicle does not exceed the rechargeable amount of the charging invitation order, the charged amount will be settled according to the charging electricity price of the charging invitation order.

[0103] After the user completes the discharge, the final discharge fee will be settled according to the discharge electricity price of the discharge invitation order.

[0104] It should be noted that Figure 3 The charging invitation power is the chargeable power of the charging invitation order, the charging invitation price is the charging electricity price of the charging invitation order, the discharge invitation power is the dischargeable power of the discharge invitation order, the discharge invitation price is the discharge electricity price of the discharge invitation order, and the charging power is the part exceeding the chargeable power of the charging invitation order.

[0105] To ensure the marketing of charging station operations, after a user accepts a charging invitation order, if the amount of electricity actually charged by the user is less than 60% of the chargeable amount of the charging invitation order, the user's credit points will be deducted; similarly, after a user accepts a discharging invitation order, if the amount of electricity actually discharged by the user is less than 60% of the dischargeable amount of the discharging invitation order, the user's credit points will be deducted.

[0106] The above is the relevant explanation about charging and discharging in invitation mode and economic mode.

[0107] In an embodiment of the present invention, the photovoltaic power generation prediction curve and the charging load power prediction curve of the charging station are predicted, and charging invitation orders and discharging invitation orders are generated and issued according to the photovoltaic power generation prediction curve and the charging load power prediction curve, so as to balance the photovoltaic power generation and load consumption of the charging station, avoid overloading of the power supply line, and ensure the operating stability of the distribution network.

[0108] To better understand the content of charging invitation orders and discharging invitation orders, the following is an example from the perspective of practical application. Figure 4 and Figure 5 Let's take an example.

[0109] See also Figure 4 , shows a flow chart of issuing a charging invitation order provided by an embodiment of the present invention, including the following steps:

[0110] Step S401: Calculate the photovoltaic excess power generation per hour.

[0111] Step S402: Formulate a charging invitation order.

[0112] Step S403: Publish a charging invitation order.

[0113] Step S404: Determine whether the charging invitation order is accepted; if the charging invitation order is accepted, end; if the charging invitation order is not accepted, execute step S405.

[0114] Step S405: reduce the charging electricity price of the charging invitation order, and return to execute step S402 to update the charging invitation order.

[0115] See also Figure 5 , shows a flow chart of issuing a discharge invitation order provided by an embodiment of the present invention, including the following steps:

[0116] Step S501: Calculate the load overload power per hour.

[0117] Step S502: Formulate a discharge invitation order.

[0118] Step S503: issuing a discharge invitation order.

[0119] Step S504: determine whether the discharge invitation order is accepted; if the discharge invitation order is accepted, end; if the discharge invitation order is not accepted, execute step S505.

[0120] Step S505: increase the discharge electricity price of the discharge invitation order, and return to execute step S502 to update the discharge invitation order.

[0121] It should be noted that Figure 4 and Figure 5 The execution principle of each step in the above-mentioned embodiment of the present invention can be found in Figure 1 The content will not be repeated here.

[0122] In practical applications, this solution can be implemented through an integrated system, such as Figure 6 As shown, the integrated system includes a photovoltaic prediction system 601, a load prediction system 602, a charging and discharging invitation system 603, a charging operation system 604, a V2G optimization system 605 and an order settlement system 606;

[0123] The photovoltaic prediction system 601 predicts the photovoltaic power generation power of the charging station based on the artificial intelligence algorithm and generates a photovoltaic power generation power prediction curve for the next 24 hours (for example only).

[0124] The load prediction system 602 predicts the charging load power of the charging station based on an artificial intelligence algorithm and generates a charging load power prediction curve for the next 24 hours.

[0125] The charging and discharging invitation system 603 formulates charging and discharging invitation orders (charging invitation orders and discharging invitation orders) based on the photovoltaic power generation power prediction curve and the charging load power prediction curve, and publishes the charging and discharging invitation orders through the APP or mini program. Users can accept the invitation on the APP or mini program.

[0126] Charging operation system 604, the user starts charging and discharging in the charging operation system through the APP or mini program.

[0127] The V2G optimization system 605 formulates a V2G charging and discharging plan for the electric vehicle based on the charging invitation order, the discharging invitation order and the user's travel needs.

[0128] The order settlement system 606 performs settlement based on the actual charging and discharging conditions of the user, thereby calculating the final charging fee and the final discharging fee.

[0129] This solution arranges the charging and discharging amount of electric vehicles through charging and discharging invitations, thereby realizing the photovoltaic absorption of charging stations and avoiding overloading of power supply lines; gradually adjusts the charging price of charging invitation orders and the discharging price of discharging invitation orders during the invitation stage, explores the price elasticity characteristics of users, and maximizes the revenue of charging stations; publishes charging invitation orders and discharging invitation orders in advance, so that users can understand the charging price and discharging price in advance, which stimulates users' enthusiasm for charging and discharging.

[0130] Corresponding to a photovoltaic consumption method provided by the above embodiment of the present invention, see Figure 7 , the embodiment of the present invention also provides a structural block diagram of a photovoltaic consumption device, the photovoltaic consumption device includes: a prediction unit 701, an identification unit 702, a charging invitation unit 703 and a discharging invitation unit 704;

[0131] The prediction unit 701 is used to predict the photovoltaic power generation power and charging load power of the charging station to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve within a preset time period in the future.

[0132] The identification unit 702 is used to identify the charging invitation time period and the discharging invitation time period within a preset time period in the future according to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station.

[0133] The charging invitation unit 703 is used to generate and publish a charging invitation order corresponding to the charging invitation time period when a charging invitation time period is identified.

[0134] The discharge invitation unit 704 is configured to generate and publish a discharge invitation order corresponding to the discharge invitation time period when a discharge invitation time period is identified.

[0135] In an embodiment of the present invention, the photovoltaic power generation prediction curve and the charging load power prediction curve of the charging station are predicted, and charging invitation orders and discharging invitation orders are generated and issued according to the photovoltaic power generation prediction curve and the charging load power prediction curve, so as to balance the photovoltaic power generation and load consumption of the charging station, avoid overloading of the power supply line, and ensure the operating stability of the distribution network.

[0136] Preferably, combined Figure 7 The content shown, the identification unit 702 includes a first identification module and a second identification module, and the execution principle of each module is as follows:

[0137] The first identification module is used to compare the photovoltaic power generation power prediction curve and the charging load power prediction curve to identify the charging invitation period within a preset time period in the future. The charging invitation period is: a period when the photovoltaic power generation power is higher than the charging load power.

[0138] The second identification module is used to compare the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station to identify the discharge invitation period within a preset time in the future. The discharge invitation period is: the period when the charging load power is higher than the supporting capacity of the power supply line.

[0139] Preferably, combined Figure 7 As shown in the figure, the charging invitation unit 703 includes a first calculation module, a charging invitation generation module and a charging invitation publishing module. The execution principle of each module is as follows:

[0140] The first calculation module is used to calculate the photovoltaic excess power generation per unit time in the charging invitation period based on the photovoltaic power generation power prediction curve and the charging load power prediction curve when the charging invitation period is identified.

[0141] A charging invitation generation module, used to generate at least one charging invitation order according to the unit time and the photovoltaic excess power generation per unit time, wherein the charging invitation order at least includes: chargeable power, charging time period, charging power price and charging service fee;

[0142] The charging invitation publishing module is used to publish charging invitation orders.

[0143] Preferably, the charging invitation unit 703 further includes:

[0144] The price reduction module is used to reduce the charging electricity price of the charging invitation order if the charging invitation order is not accepted, until the charging invitation order is accepted or until the charging electricity price is reduced to a preset minimum charging electricity price.

[0145] The second calculation module is used to calculate the final charging fee according to the charging invitation order and the actual charging amount of the user if the charging invitation order is accepted and executed by any user.

[0146] Preferably, combined Figure 7 As shown in the figure, the discharge invitation unit 704 includes a third calculation module, a discharge invitation generation module and a discharge invitation publishing module. The execution principle of each module is as follows:

[0147] The third calculation module is used to calculate the load overload power per unit time in the discharge invitation period based on the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station when the discharge invitation period is identified.

[0148] A discharge invitation generation module is used to generate at least one discharge invitation order according to the unit time and the load overload quantity per unit time, and the discharge invitation order at least includes: the dischargeable quantity, the discharge time period and the discharge electricity price;

[0149] The discharge invitation publishing module is used to publish the discharge invitation order.

[0150] Preferably, the discharge invitation unit 704 further includes:

[0151] The price increase module is used to increase the discharge electricity price of the discharge invitation order if the discharge invitation order is not accepted, until the discharge invitation order is accepted or until the discharge electricity price is increased to a preset maximum discharge electricity price.

[0152] The fourth calculation module is used to calculate the final discharge fee according to the discharge invitation order and the actual discharge amount of the user if the discharge invitation order is accepted and executed by any user.

[0153] Preferably, an embodiment of the present invention further provides an electronic device, comprising: a processor and a memory, wherein the processor and the memory are connected via a communication bus; wherein the processor is used to call and execute a program stored in the memory; and the memory is used to store a program, and the program is used to implement the photovoltaic absorption method provided in the above method embodiment.

[0154] Preferably, an embodiment of the present invention further provides a computer-readable storage medium, in which computer-executable instructions are stored, and the computer-executable instructions are used to execute the photovoltaic absorption method provided by the above method embodiment.

[0155] Preferably, an embodiment of the present invention further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the photovoltaic absorption method provided by the above method embodiment.

[0156] In summary, the embodiments of the present invention provide a photovoltaic consumption method, device, electronic device and storage medium, which predict the photovoltaic power generation power prediction curve and charging load power prediction curve of the charging station, generate and publish charging invitation orders and discharging invitation orders according to the photovoltaic power generation power prediction curve and the charging load power prediction curve, so as to balance the photovoltaic power generation and load consumption of the charging station, avoid overloading of the power supply line, and ensure the operating stability of the distribution network.

[0157] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0158] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may 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 the present invention.

[0159] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A photovoltaic consumption method, characterized in that: The method comprises: Predict the photovoltaic power generation power and charging load power of the charging station to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve within a preset time period in the future; According to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station, identifying the charging invitation time period and the discharging invitation time period within the future preset time period; When the charging invitation time period is identified, generating and issuing a charging invitation order corresponding to the charging invitation time period; When the discharge invitation time period is identified, a discharge invitation order corresponding to the discharge invitation time period is generated and issued.

2. The method according to claim 1, characterized in that According to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station, identifying the charging invitation time period and the discharging invitation time period within the future preset time period, including: Comparing the photovoltaic power generation prediction curve with the charging load power prediction curve to identify a charging invitation period within the future preset time period, wherein the charging invitation period is a period when the photovoltaic power generation power is higher than the charging load power; The charging load power prediction curve is compared with the supporting capacity of the power supply line supplying power to the charging station to identify the discharge invitation period within the future preset time period, wherein the discharge invitation period is a period when the charging load power is higher than the supporting capacity of the power supply line.

3. The method according to claim 1 or 2, characterized in that: When the charging invitation time period is identified, generating and issuing a charging invitation order corresponding to the charging invitation time period includes: When the charging invitation period is identified, the photovoltaic excess power generation per unit time in the charging invitation period is calculated based on the photovoltaic power generation power prediction curve and the charging load power prediction curve; Generate at least one charging invitation order according to the unit time and the photovoltaic excess power generation per unit time, wherein the charging invitation order at least includes: chargeable power, charging time period, charging power price and charging service fee; The charging invitation order is published.

4. The method according to claim 1 or 2, characterized in that: When the discharge invitation time period is identified, a discharge invitation order corresponding to the discharge invitation time period is generated and issued, including: When the discharge invitation period is identified, the load overload power per unit time in the discharge invitation period is calculated based on the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station; Generate at least one discharge invitation order according to the unit time and the load overload quantity per unit time, wherein the discharge invitation order at least includes: dischargeable quantity, discharge time period and discharge electricity price; The discharge invitation order is issued.

5. The method according to claim 3, characterized in that: After issuing the charging invitation order, it also includes: If the charging invitation order is not accepted, reducing the charging electricity price of the charging invitation order until the charging invitation order is accepted or until the charging electricity price is reduced to a preset minimum charging electricity price; If the charging invitation order is accepted and executed by any user, the final charging fee is calculated according to the charging invitation order and the actual charging amount of the user.

6. The method according to claim 4, characterized in that After issuing the discharge invitation order, it also includes: If the discharge invitation order is not accepted, increase the discharge electricity price of the discharge invitation order until the discharge invitation order is accepted or until the discharge electricity price is increased to a preset maximum discharge electricity price; If the discharge invitation order is accepted and executed by any user, the final discharge fee is calculated according to the discharge invitation order and the actual discharge amount of the user.

7. A photovoltaic consumption device, characterized in that: The device comprises: A prediction unit, used to predict the photovoltaic power generation power and charging load power of the charging station, so as to generate a photovoltaic power generation power prediction curve and a charging load power prediction curve within a preset time period in the future; an identification unit, configured to identify a charging invitation time period and a discharging invitation time period within the future preset time period according to the photovoltaic power generation power prediction curve, the charging load power prediction curve and the supporting capacity of the power supply line supplying power to the charging station; A charging invitation unit, configured to generate and publish a charging invitation order corresponding to the charging invitation time period when the charging invitation time period is identified; The discharge invitation unit is used to generate and publish a discharge invitation order corresponding to the discharge invitation time period when the discharge invitation time period is identified.

8. The device according to claim 7, characterized in that The identification unit comprises: A first identification module is used to compare the photovoltaic power generation power prediction curve and the charging load power prediction curve to identify the charging invitation period within the future preset time period, and the charging invitation period is: a period when the photovoltaic power generation power is higher than the charging load power; The second identification module is used to compare the charging load power prediction curve with the supporting capacity of the power supply line supplying power to the charging station to identify the discharge invitation period within the future preset time period, and the discharge invitation period is: the period when the charging load power is higher than the supporting capacity of the power supply line.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the processor and the memory are connected via a communication bus; wherein the processor is used to call and execute a program stored in the memory; The memory is used to store a program, and the program is used to implement the photovoltaic absorption method as described in any one of claims 1-6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to execute the photovoltaic absorption method described in any one of claims 1-6.

11. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the photovoltaic absorption method as described in any one of claims 1-6 is implemented.

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