A virtual power management method, device, equipment and system

Abstract

The present application discloses a virtual power management method, device, equipment and system, including receiving a user's energy storage capacity purchase instruction during the electricity price trough period; storing the corresponding amount of electricity in the battery energy storage power station invested by the user according to the energy storage capacity purchase instruction; receiving the user's discharge instruction during the electricity price peak period; and controlling the battery energy storage power station to discharge for the user's use according to the discharge instruction. The present application stores electricity in the battery energy storage power station invested by the user through the energy storage capacity purchase instruction issued by the user during the electricity price trough period, and uses the electricity stored in the battery energy storage power station through the user's discharge instruction during the electricity price peak period, thereby reducing electricity costs. The electricity is stored in the battery energy storage power station invested by the user. With the user's participation in the investment, it is easier to establish a total energy storage power station, thereby enabling more total energy storage power stations to participate in the actual operation of the power grid; users do not need to store batteries at home, thereby improving safety.

Description

Technical Field

[0001] The present application relates to the field of virtual energy storage, and in particular to a virtual power management method, device, equipment and system. Background Art

[0002] With the emergence of energy shortages, the proportion of renewable energy generation in my country's power grid is continuing to rise rapidly. However, due to practical absorption issues with renewable energy generation, some wind farms and photovoltaic panels have adopted power rationing measures, resulting in reduced green energy utilization efficiency.

[0003] To increase the comprehensive utilization of renewable energy, most regions in my country have implemented comprehensive electricity pricing strategies, resulting in discrepancies between peak and off-peak electricity prices. Some factories can reduce electricity costs and increase profits by adjusting their operating schedules. For example, they can operate during off-peak periods and reduce or even suspend production during peak periods. However, ordinary residents often use electricity during peak periods, excluding these preferential pricing measures. This leads to underutilization of off-peak electricity in the grid. If users purchase batteries to store energy during off-peak periods and use electricity during peak periods, the charging, discharging, and storage of these batteries pose significant safety risks.

[0004] Therefore, how to solve the above technical problems should be the focus of those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a virtual power management method, device, equipment and system so that residents can make full use of peak and valley electricity, improve the safety of users' stored electricity, and enable more energy storage power stations to participate in the actual operation of the power grid.

[0006] To solve the above technical problems, the present application provides a virtual power management method, including:

[0007] Receive energy storage capacity purchase instructions from users during periods of low electricity prices;

[0008] According to the energy storage capacity purchase instruction, storing corresponding electricity in the battery energy storage power station invested in by the user;

[0009] receiving a discharge instruction from the user during a peak electricity price period;

[0010] According to the discharge instruction, the battery energy storage power station is controlled to discharge for use by the user.

[0011] Optionally, also include:

[0012] Determine the actual distributable revenue generated by the electricity stored by all battery energy storage plants in the overall energy storage plant;

[0013] Determining the user's revenue share based on the user's estimated energy storage purchase amount;

[0014] Determine the user's expected income based on the income ratio and the actual distributable income;

[0015] The estimated revenue is sent to the automatic charge and discharge control software platform to provide the user with a basis for making decisions on the amount of energy storage purchased.

[0016] Optionally, determining the user's revenue share based on the user's expected energy storage purchase amount includes:

[0017] The income ratio is determined according to a first preset formula, which is:

[0018]

[0019] Among them, δ is the proportion of income, B i is the expected energy storage purchase amount belonging to the i-th capacity level, α i is the proportion of expected energy storage purchases of capacity level i, and a is the total number of capacity levels.

[0020] Optionally, determining the actual distributable income generated by the amount of electricity stored by all battery energy storage power stations in the total energy storage power station includes:

[0021] The actual distributable income is determined according to a second preset formula, which is:

[0022]

[0023] Among them, P r is the actual distributable income, P t P is the total revenue from replacing coal-fired power generation with new energy after adding energy storage purchases. b is the loss of energy storage purchased, P m is the management cost of each function in the total energy storage power station, and n is the total number of battery energy storage power stations.

[0024] Optionally, after sending the estimated revenue to the automatic charge and discharge control software platform, the method further includes:

[0025] receiving a purchase instruction for energy storage purchase from the user;

[0026] According to the energy storage purchase quantity purchase instruction, the corresponding amount of electricity is stored in the battery energy storage power station invested in by the user.

[0027] Optionally, also include:

[0028] receiving an automatic charge and discharge mode instruction from the user;

[0029] During the electricity price trough period, storing electricity in the battery energy storage power station invested in by the user according to the automatic charge and discharge mode instruction;

[0030] During the peak period of electricity prices, according to the automatic charge and discharge mode instructions and the grid demand instructions, the stored electricity is output to the grid to obtain benefits.

[0031] Optionally, also include:

[0032] receiving a frequency modulation mode instruction from the user;

[0033] According to the frequency modulation mode instruction and the grid frequency, when the grid frequency is less than a first preset frequency threshold, outputting the stored electricity to the grid;

[0034] According to the frequency modulation mode instruction and the grid frequency, when the grid frequency is greater than a second preset frequency threshold, purchasing electricity from the grid and charging the purchased electricity to the battery energy storage power station invested by the user for storage;

[0035] During the electricity price trough period, electricity is stored in the battery energy storage power station invested in by the user according to the frequency regulation mode instruction.

[0036] The present application also provides a virtual power management device, comprising:

[0037] The first receiving module is configured to receive a user's energy storage capacity purchase instruction during a period of low electricity prices;

[0038] a storage module, configured to store corresponding electricity in a battery energy storage power station invested in by the user according to the energy storage capacity purchase instruction;

[0039] A second receiving module is configured to receive a discharge instruction from the user during a peak electricity price period;

[0040] A discharge module is used to control the battery energy storage power station to discharge for use by the user according to the discharge instruction.

[0041] This application also provides a virtual power management device, including:

[0042] memory for storing computer programs;

[0043] A processor is configured to implement any one of the steps of the aforementioned virtual power management method when executing the computer program.

[0044] This application also provides a virtual power management system, including:

[0045] The virtual power management device mentioned above;

[0046] Battery energy storage power stations;

[0047] Automatic charging and discharging control software platform.

[0048] The present application provides a virtual power management method, comprising: receiving a user's energy storage capacity purchase instruction during a period of low electricity prices; storing corresponding power in a battery energy storage power station invested in by the user based on the energy storage capacity purchase instruction; receiving a discharge instruction from the user during a period of peak electricity prices; and controlling the battery energy storage power station to discharge power for use by the user based on the discharge instruction.

[0049] It can be seen that the virtual electricity management method of the present application stores the corresponding electricity in the battery energy storage station invested by the user through the energy storage electricity purchase instruction issued by the user during the electricity price trough period, and controls the battery energy storage station to discharge for the user through the user's discharge instruction during the electricity price peak period. That is to say, the electricity used by the user during the electricity price peak period is the electricity purchased during the electricity price trough period, so that the user can make full use of the peak and valley electricity and reduce electricity costs. In addition, the electricity purchased by the user during the electricity price trough period is stored in the battery energy storage station invested by the user himself. It takes a lot of money to establish a total energy storage station including many battery energy storage stations. However, with the participation of many users in the investment, the establishment of the total energy storage station can be made easier, thereby allowing more energy storage stations to participate in the actual operation of the power grid. At the same time, users do not need to store batteries at home for energy storage, thereby improving safety.

[0050] In addition, the present application also provides a device, apparatus and system having the above advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0052] Figure 1 A flowchart of a virtual power management method provided in an embodiment of the present application;

[0053] Figure 2 A flowchart of another virtual power management method provided in an embodiment of the present application;

[0054] Figure 3 A structural block diagram of a virtual power management device provided in an embodiment of the present application;

[0055] Figure 4This is a structural block diagram of the virtual power management system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments. Obviously, the embodiments described are only a part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making any creative efforts are within the scope of protection of the present application.

[0057] As mentioned in the background section, with comprehensive electricity pricing strategies, residents often use electricity during peak hours, excluding them from preferential pricing. This results in insufficient utilization of peak and valley power within the grid. If users purchase batteries to store energy during valley hours and use electricity during peak hours, the charging, discharging, and storage of these batteries present significant safety risks.

[0058] In view of this, this application provides a virtual power management method, please refer to Figure 1 , the method comprising:

[0059] Step S101: receiving a user's energy storage capacity purchase instruction during the electricity price trough period.

[0060] The energy storage capacity purchase instruction includes the amount of electricity to be purchased.

[0061] The trough and peak periods of electricity prices are determined according to the electricity price strategies of various regions. The trough periods are periods of low electricity consumption, such as 10 p.m. to 6 a.m., and the peak periods are periods of peak electricity consumption, such as 6 a.m. to 10 a.m., 6 p.m. to 10 p.m., and so on.

[0062] Step S102: According to the energy storage capacity purchase instruction, the corresponding amount of electricity is stored in the battery energy storage power station invested in by the user.

[0063] When a large number of battery energy storage power stations invested by a large number of users are combined together, a large energy storage power station can be formed. The establishment of a large energy storage power station requires a lot of capital, and it is difficult for a single company or individual to establish it. Therefore, the number of energy storage power stations is currently limited. However, in this application, since a large number of users participate in the investment, the difficulty of establishing the energy storage power station can be reduced, so that more energy storage power stations can participate in the operation of the power grid.

[0064] Step S103: receiving a discharge instruction from the user during a peak electricity price period.

[0065] The discharge instruction includes the discharge amount.

[0066] Step S104: According to the discharge instruction, control the battery energy storage station to discharge for use by the user.

[0067] The virtual electricity management method of the present application stores the corresponding electricity in the battery energy storage station invested by the user through the energy storage electricity purchase instruction issued by the user during the electricity price valley period. The battery energy storage station is controlled to discharge for user use through the user's discharge instruction during the electricity price peak period. In other words, the electricity used by the user during the electricity price peak period is the electricity purchased during the electricity price valley period, allowing the user to fully utilize the peak and valley electricity and reduce electricity costs. In addition, the electricity purchased by the user during the electricity price valley period is stored in the battery energy storage station invested by the user. Establishing a total energy storage station including many battery energy storage stations requires a large amount of capital. However, with the participation of many users, the establishment of the total energy storage station can be made easier, thereby allowing more energy storage stations to participate in the actual operation of the power grid. At the same time, users do not need to store energy in their own batteries, thereby improving safety.

[0068] Please refer to Figure 2 , based on the above embodiment, the method includes:

[0069] Step S201: Receive a user's energy storage capacity purchase instruction during the electricity price trough period.

[0070] Step S202: According to the energy storage capacity purchase instruction, the corresponding amount of electricity is stored in the battery energy storage power station invested in by the user.

[0071] Step S203: receiving a discharge instruction from the user during a peak electricity price period.

[0072] Step S204: According to the discharge instruction, control the battery energy storage station to discharge for use by the user.

[0073] Step S205: Determine the actual distributable income generated by the electricity stored in all battery energy storage power stations in the total energy storage power station.

[0074] Optionally, determining the actual distributable income generated by the amount of electricity stored by all battery energy storage power stations in the total energy storage power station includes:

[0075] The actual distributable income is determined according to a second preset formula, which is:

[0076]

[0077] Among them, P r is the actual distributable income, P t P is the total revenue from replacing coal-fired power generation with new energy after adding energy storage purchases. b is the loss of energy storage purchased, P mis the management cost of each function in the total energy storage power station, and n is the total number of battery energy storage power stations.

[0078] Step S206: Determine the user's profit ratio based on the user's estimated energy storage purchase amount.

[0079] This application does not limit the method for determining the proportion of revenue from the user's expected energy storage purchase amount, and the user can set it at his / her discretion.

[0080] As an implementable method, regardless of the user's expected energy storage purchase amount, the profit share is determined according to the ratio of the expected energy storage purchase amount to the amount of electricity stored in all battery energy storage power stations.

[0081] As another possible implementation method, determining the user's revenue share based on the user's expected energy storage purchase amount includes:

[0082] The income ratio is determined according to a first preset formula, which is:

[0083]

[0084] Among them, δ is the proportion of income, B i is the expected energy storage purchase amount belonging to the i-th capacity level, α i is the proportion of expected energy storage purchases of capacity level i, and a is the total number of capacity levels.

[0085] The total number of capacity levels is not limited in this application and can be set by yourself. For example, the total number of capacity levels can be 4, 5, 7, and so on. Furthermore, the proportion of the expected energy storage purchase amount of the i-th capacity level is not limited in this application. In order to encourage users to purchase more energy storage purchases, the higher the capacity level, the higher its proportion. Taking capacity level 4 as an example, the proportion of energy storage purchases of the 1st capacity level is α1=10%, the proportion of energy storage purchases of the 2nd capacity level is α2=20%, the proportion of energy storage purchases of the 3rd capacity level is α3=30%, and the proportion of energy storage purchases of the 4th capacity level is α4=40%. The more energy storage purchases a user purchases, the higher the profit proportion, and the higher the profit that can be obtained.

[0086] The maximum amount of energy storage that a user can purchase is set to S max , then the amount of energy storage that users can purchase at each capacity level is:

[0087] S i =α i S max ,i=1,2,3,4 (3)

[0088] Among them, S i is the expected energy storage purchase amount under the i-th capacity level, αi is the proportion of the i-th capacity level, S max The maximum amount of energy storage a user can purchase.

[0089] Step S207: Determine the expected income of the user according to the income proportion and the actual distributable income.

[0090] Specifically, the user's expected income is determined according to a third preset formula, which is:

[0091] P=P r ×δ (4)

[0092] Among them, P is the user's expected revenue, P r is the actual distributable income, and δ is the income ratio.

[0093] Step S208: Sending the estimated revenue to the automatic charge and discharge control software platform to provide the user with a basis for making decisions on the amount of energy storage purchased.

[0094] In this embodiment, the user's expected energy storage purchase amount is used to calculate the user's potential income, thereby encouraging the user to purchase energy storage electricity.

[0095] Furthermore, after sending the estimated revenue to the automatic charge and discharge control software platform, the method further includes:

[0096] receiving a purchase instruction for energy storage purchase from the user;

[0097] According to the energy storage purchase quantity purchase instruction, the corresponding amount of electricity is stored in the battery energy storage power station invested in by the user.

[0098] Users purchase electricity and store it in the invested battery energy storage power station. Users participate in energy storage investment, which brings actual benefits to users and increases their long-term economic income.

[0099] Based on the above embodiment, in one embodiment of the present application, the virtual power management method further includes:

[0100] receiving an automatic charge and discharge mode instruction from the user;

[0101] During the electricity price trough period, storing electricity in the battery energy storage power station invested in by the user according to the automatic charge and discharge mode instruction;

[0102] During the peak period of electricity prices, according to the automatic charge and discharge mode instructions and the grid demand instructions, the stored electricity is output to the grid to obtain benefits.

[0103] When the user selects the automatic charging and discharging mode, electricity will be automatically purchased to charge the battery energy storage power station during the trough period of electricity prices. During the peak period of electricity prices and when the electricity in the grid cannot meet the electricity demand, the grid will issue a demand instruction and then output electricity to the grid, earning the difference between the trough price and the peak price.

[0104] Based on the above embodiment, in one embodiment of the present application, the virtual power management method further includes:

[0105] receiving a frequency modulation mode instruction from the user;

[0106] According to the frequency modulation mode instruction and the grid frequency, when the grid frequency is less than a first preset frequency threshold, outputting the stored electricity to the grid;

[0107] According to the frequency modulation mode instruction and the grid frequency, when the grid frequency is greater than a second preset frequency threshold, purchasing electricity from the grid and charging the purchased electricity to the battery energy storage power station invested by the user for storage;

[0108] During the electricity price trough period, electricity is stored in the battery energy storage power station invested in by the user according to the frequency regulation mode instruction.

[0109] In this application, there is no limitation on the first preset frequency threshold and the second preset frequency threshold, which may be determined according to circumstances.

[0110] When a user selects frequency modulation mode, if the grid frequency falls below the first preset frequency threshold, the grid's power supply cannot meet demand. At this point, the battery energy storage station's stored power is exported to the grid to generate revenue. When the grid frequency exceeds the second preset frequency threshold, the grid's power supply is in excess, and power is purchased from the grid to reduce the frequency. The grid then discharges power to the user at a low price. During periods of low electricity prices, power is automatically purchased to charge the battery energy storage station. The user's energy storage participating in grid frequency modulation allows for more renewable energy generation to be integrated into the grid, increasing the grid's renewable energy consumption rate.

[0111] When the frequency in the power grid is less than a first preset frequency threshold and greater than a second preset frequency threshold, the power grid will send a primary frequency modulation instruction and a secondary frequency modulation instruction (AGC (Automatic Gain Control) instruction).

[0112] The virtual power management device provided in an embodiment of the present application is introduced below. The virtual power management device described below and the virtual power management method described above can be referenced to each other.

[0113] Figure 3 The structure diagram of the virtual power management device provided in the embodiment of the present application is shown in FIG. Figure 3The virtual power management device may include:

[0114] The first receiving module 100 is used to receive a user's energy storage capacity purchase instruction during the electricity price valley period;

[0115] The storage module 200 is configured to store the corresponding amount of electricity in the battery energy storage power station invested in by the user according to the energy storage capacity purchase instruction;

[0116] The second receiving module 300 is configured to receive a discharge instruction from the user during a peak electricity price period;

[0117] The discharging module 400 is used to control the battery energy storage station to discharge the energy for use by the user according to the discharging instruction.

[0118] The virtual power management device of this embodiment is used to implement the aforementioned virtual power management method. Therefore, the specific implementation methods of the virtual power management device can be found in the embodiment part of the virtual power management method in the previous text. For example, the first receiving module 100, the storage module 200, the second receiving module 300, and the discharging module 400 are respectively used to implement steps S101, S102, S103 and S104 in the aforementioned virtual power management method. Therefore, its specific implementation methods can refer to the descriptions of the corresponding embodiments of each part and will not be repeated here.

[0119] Optionally, also include:

[0120] The first determination module is used to determine the actual distributable income generated by the electricity stored in all battery energy storage power stations in the total energy storage power station;

[0121] A second determining module is configured to determine the user's profit ratio based on the user's expected energy storage purchase amount;

[0122] A third determining module is configured to determine the user's expected income based on the income ratio and the actual distributable income;

[0123] The sending module is used to send the expected income to the automatic charge and discharge control software platform to provide the user with a basis for making decisions on the amount of energy storage purchased.

[0124] Optionally, the second determining module is specifically configured to:

[0125] The income ratio is determined according to a first preset formula, which is:

[0126]

[0127] Among them, δ is the proportion of income, B i is the expected energy storage purchase amount belonging to the i-th capacity level, α iis the proportion of expected energy storage purchases of capacity level i, and a is the total number of capacity levels.

[0128] Optionally, the first determining module is specifically configured to:

[0129] The actual distributable income generated by the electricity stored by all battery energy storage power stations in the total energy storage power station is determined to include:

[0130] The actual distributable income is determined according to a second preset formula, which is:

[0131]

[0132] Among them, P r is the actual distributable income, P t P is the total revenue from replacing coal-fired power generation with new energy after adding energy storage purchases. b is the loss of energy storage purchased, P m is the management cost of each function in the total energy storage power station, and n is the total number of battery energy storage power stations.

[0133] Optionally, also include:

[0134] A third receiving module is configured to receive an energy storage purchase instruction from the user;

[0135] The first power storage module is used to store corresponding power in the battery energy storage power station invested by the user according to the energy storage purchase quantity purchase instruction.

[0136] Optionally, also include:

[0137] A fourth receiving module, configured to receive an automatic charge and discharge mode instruction from the user;

[0138] a second power storage module, configured to store power in the battery energy storage power station invested in by the user according to the automatic charge and discharge mode instruction during the electricity price valley period;

[0139] The first power output module is used to output the stored power to the power grid to obtain benefits during the peak period of electricity prices according to the automatic charge and discharge mode instructions and the power grid demand instructions.

[0140] Optionally, also include:

[0141] A fifth receiving module, configured to receive a frequency modulation mode instruction from the user;

[0142] a second power output module, configured to output the stored power to the grid according to the frequency modulation mode instruction and the grid frequency, when the grid frequency is less than a first preset frequency threshold;

[0143] a third power storage module, configured to purchase power from the power grid and charge the purchased power to the battery energy storage power station invested by the user for storage, according to the frequency modulation mode instruction and the power grid frequency, when the power grid frequency is greater than a second preset frequency threshold;

[0144] The fourth power storage module is used to store power in the battery energy storage power station invested by the user according to the frequency modulation mode instruction during the electricity price valley period.

[0145] The virtual power management device provided in the embodiments of the present application is introduced below. The virtual power management device described below and the virtual power management method described above can refer to each other.

[0146] A virtual power management device includes:

[0147] memory for storing computer programs;

[0148] A processor is configured to implement the steps of the virtual power management method described in any one of the above embodiments when executing the computer program.

[0149] The processor includes an automatic charge and discharge control power station server and a peak and valley automatic charge and discharge measurement and control device.

[0150] This application also provides a virtual power management system, please refer to Figure 4 ,include:

[0151] The virtual power management device mentioned above;

[0152] Battery energy storage power stations;

[0153] Automatic charging and discharging control software platform.

[0154] Among them, the battery energy storage power station is connected to the power grid through a power channel, the automatic charging and discharging control software platform is connected to the automatic charging and discharging control power station server in the virtual power management device, and the battery energy storage power station is connected to the peak and valley automatic charging and discharging measurement and control device in the virtual power management device.

[0155] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0156] 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 above description has generally described the components and steps of each example according to their functions. 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 beyond the scope of this application.

[0157] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0158] The above is a detailed introduction to the virtual power management method, device, equipment and system provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core ideas of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A virtual power management method, characterized in that: include: Receive energy storage capacity purchase instructions from users during periods of low electricity prices; The user is a resident; According to the energy storage capacity purchase instruction, storing corresponding electricity in the battery energy storage power station invested in by the user; receiving a discharge instruction from the user during a peak electricity price period; According to the discharge instruction, controlling the battery energy storage station to discharge for use by the user; Determine the actual distributable revenue generated by the electricity stored by all battery energy storage plants in the overall energy storage plant; Determining the user's revenue share based on the user's estimated energy storage purchase amount; Determine the user's expected income based on the income ratio and the actual distributable income; Sending the estimated revenue to an automatic charge and discharge control software platform to provide the user with a basis for making decisions on the amount of energy storage purchased; Determining the user's revenue share based on the user's estimated energy storage purchase amount includes: The income ratio is determined according to a first preset formula, which is: Among them, δ is the proportion of income, B i is the expected energy storage purchase amount belonging to the i-th capacity level, α i is the proportion of energy storage purchases expected for capacity level i, and a is the total number of capacity levels. The higher the capacity level, the higher its proportion. receiving a frequency modulation mode instruction from the user; According to the frequency modulation mode instruction and the grid frequency, when the grid frequency is less than a first preset frequency threshold, outputting the stored electricity to the grid; According to the frequency modulation mode instruction and the grid frequency, when the grid frequency is greater than a second preset frequency threshold, purchasing electricity from the grid and charging the purchased electricity to the battery energy storage power station invested by the user for storage; During the electricity price trough period, electricity is stored in the battery energy storage power station invested in by the user according to the frequency regulation mode instruction.

2. The virtual power management method according to claim 1, wherein: The actual distributable income generated by the electricity stored by all battery energy storage power stations in the total energy storage power station is determined to include: The actual distributable income is determined according to a second preset formula, which is: Among them, P r is the actual distributable income, P t P is the total revenue from replacing coal-fired power generation with new energy after adding energy storage purchases. b is the loss of energy storage purchased, P m is the management cost of each function in the total energy storage power station, and n is the total number of battery energy storage power stations.

3. The virtual power management method according to claim 1, wherein: After sending the estimated revenue to the automatic charge and discharge control software platform, the method further includes: receiving a purchase instruction for energy storage purchase from the user; According to the energy storage purchase quantity purchase instruction, the corresponding amount of electricity is stored in the battery energy storage power station invested in by the user.

4. The virtual power management method according to claim 1, wherein: Also includes: receiving an automatic charge and discharge mode instruction from the user; During the electricity price trough period, storing electricity in the battery energy storage power station invested in by the user according to the automatic charge and discharge mode instruction; During the peak period of electricity prices, according to the automatic charge and discharge mode instructions and the grid demand instructions, the stored electricity is output to the grid to obtain benefits.

5. A virtual power management device, characterized in that: include: The first receiving module is configured to receive a user's energy storage capacity purchase instruction during a period of low electricity prices; The user is a resident; a storage module, configured to store corresponding electricity in a battery energy storage power station invested in by the user according to the energy storage capacity purchase instruction; A second receiving module is configured to receive a discharge instruction from the user during a peak electricity price period; a discharging module, configured to control the battery energy storage station to discharge energy for use by the user according to the discharging instruction; The first determination module is used to determine the actual distributable income generated by the electricity stored in all battery energy storage power stations in the total energy storage power station; A second determining module is configured to determine the user's profit ratio based on the user's expected energy storage purchase amount; A third determining module is configured to determine the user's expected income based on the income ratio and the actual distributable income; a sending module, configured to send the estimated revenue to an automatic charge and discharge control software platform to provide the user with a basis for making a decision on the amount of energy storage purchased; The second determining module is specifically configured to: The income ratio is determined according to a first preset formula, which is: Among them, δ is the proportion of income, B i is the expected energy storage purchase amount belonging to the i-th capacity level, α i is the proportion of energy storage purchases expected for capacity level i, and a is the total number of capacity levels. The higher the capacity level, the higher its proportion. A fifth receiving module, configured to receive a frequency modulation mode instruction from the user; a second power output module, configured to output the stored power to the grid according to the frequency modulation mode instruction and the grid frequency, when the grid frequency is less than a first preset frequency threshold; a third power storage module, configured to purchase power from the power grid and charge the purchased power to the battery energy storage power station invested by the user for storage, according to the frequency modulation mode instruction and the power grid frequency, when the power grid frequency is greater than a second preset frequency threshold; The fourth power storage module is used to store power in the battery energy storage power station invested by the user according to the frequency modulation mode instruction during the electricity price valley period.

6. A virtual power management device, characterized in that: include: memory for storing computer programs; A processor, configured to implement the steps of the virtual power management method according to any one of claims 1 to 4 when executing the computer program.

7. A virtual power management system, characterized in that: include: The virtual power management device according to claim 6; Battery energy storage power stations; Automatic charging and discharging control software platform.

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