CN115632426A - Energy storage control method, device and system and storage medium - Google Patents

Abstract

An energy storage control method, device, system, and storage medium. The method is applied to an integrated optical storage and charging power station, including: obtaining the first estimated user electricity consumption during the peak electricity price period of the next day, and the parity electricity price of the next day The second estimated user electricity consumption in the time period and the estimated photovoltaic power generation of the next day; compare the estimated photovoltaic power generation with the first estimated user electricity consumption, and determine that the estimated photovoltaic power generation is not greater than the first Send the energy storage command after estimating the user’s power consumption, and execute the next step after it is greater than; compare the estimated photovoltaic power generation with the sum of the first estimated user’s power consumption and the second estimated user’s power consumption, And send the first energy supply instruction after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated user electricity consumption and the second estimated user electricity consumption, and send the second energy supply instruction after it is greater than the sum. This application combines the cycle of peak and valley electricity prices and the actual daily electricity consumption to distribute electricity, and maximizes the economic benefits of photovoltaics and energy storage.

Description

Energy storage control method, device, system and storage medium

technical field

The present application relates to the field of photovoltaic technology, and more specifically relates to an energy storage control method, device, system and storage medium.

Background technique

Distributed photovoltaic power generation has received more and more attention because it can realize the self-use of photovoltaic power generation, reduce the loss of power transmission and distribution links, and effectively solve the loss of power in long-distance transmission. A large number of industrial and commercial users and residential users Distributed photovoltaics have been used on the roof to reduce daily electricity consumption. Due to the instability of photovoltaic power generation, when distributed photovoltaics are used for "spontaneous self-use", it is usually necessary to configure corresponding energy storage systems to improve the stability of power supply. Many regions have begun to require new distributed photovoltaics to be Proportionally configure the installed capacity of energy storage.

In the case of peak and valley time-of-use electricity prices, the integrated solar storage and charging system can also use electric energy more effectively and improve the comprehensive utilization rate of electric energy. However, there is currently no feasible method to maximize the utilization of photovoltaics and energy storage. It often happens that photovoltaic power generation is not effectively allocated to the peak electricity price period, while the energy storage system is combined with photovoltaics. At the same time, it is impossible to maximize the benefits of peak shaving and valley filling.

Contents of the invention

The present application has been made to solve at least one of the above-mentioned problems. According to one aspect of the present application, an energy storage control method is provided, which is applied to an integrated solar-storage-charge power station. The method includes: obtaining the first estimated user electricity consumption during the peak electricity price period of the next day, and the parity price of the next day The second estimated user electricity consumption during the electricity price period and the estimated photovoltaic power generation amount of the next day; compare the estimated photovoltaic power generation amount with the first estimated user electricity consumption, and determine the estimated After the amount of photovoltaic power generation is not greater than the first estimated user power consumption, an energy storage command is sent to the integrated solar-storage-charge power station, and when it is determined that the estimated photovoltaic power generation is greater than the first estimated user power consumption Execute the next step after measuring;

Comparing the estimated photovoltaic power generation with the sum of the first estimated user power consumption and the second estimated user power consumption, and determining that the estimated photovoltaic power generation is not greater than the first After the sum of the estimated user power consumption and the second estimated user power consumption, a first energy supply command is sent to the integrated solar-storage-charging power station, and when it is determined that the estimated photovoltaic power generation is greater than the second After the sum of the estimated user power consumption and the second estimated user power consumption, a second energy supply instruction is sent to the integrated solar-storage-charging power station.

In one embodiment of the present application, obtaining the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period include: obtaining historical electricity consumption data ; Based on the historical electricity consumption data, calculate the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period through a neural network model.

In one embodiment of the present application, obtaining the estimated photovoltaic power generation of the next day includes: obtaining historical photovoltaic power generation data and next day's weather data; Estimated photovoltaic power generation.

In one embodiment of the present application, the method further includes the step of adjusting the power dispatching. After determining that the estimated photovoltaic power generation is not greater than the first estimated user power consumption, the power dispatching The adjustment includes: obtaining actual photovoltaic power generation and actual user power consumption; comparing the first difference between the actual photovoltaic power generation and the actual user power consumption with the estimated photovoltaic power generation and the actual user power consumption The second difference of electric quantity is compared, and after determining that the first difference is not greater than the second difference, a third energy supply instruction is sent to the integrated optical storage and charging power station, and after determining the first After the difference is greater than the second difference, a fourth energy supply instruction is sent to the integrated optical storage and charging power station.

In one embodiment of the present application, the method further includes the step of adjusting power dispatching, and after determining that the estimated photovoltaic power generation is not greater than the first estimated user power consumption and the second estimated After the user's power consumption is summed, the adjustment of the power dispatching includes: obtaining the actual photovoltaic power generation and the actual user power consumption; the first difference between the actual photovoltaic power generation and the actual user power consumption and The second difference between the estimated photovoltaic power generation and the actual user power consumption is compared, and after the first difference is determined to be no greater than the second difference, the solar-storage-charge integrated power station Sending a fifth energy supply instruction, and sending a sixth energy supply instruction to the integrated optical storage and charging power station after determining that the first difference is greater than the second difference.

In one embodiment of the present application, the method further includes the step of adjusting power dispatching, and when it is determined that the estimated photovoltaic power generation is greater than the first estimated user power consumption and the second estimated user power consumption After the sum of the power consumption, the adjustment of the power dispatching includes: obtaining the actual photovoltaic power generation and the actual user power consumption; the first difference between the actual photovoltaic power generation and the actual user power consumption and the obtained The second difference between the estimated photovoltaic power generation and the actual user power consumption is compared, and after it is determined that the first difference is not greater than the second difference, it will be sent to the solar-storage-charge integrated power station The seventh energy supply instruction is to send an eighth energy supply instruction to the integrated optical storage and charging power station after determining that the first difference is greater than the second difference.

In one embodiment of the present application, the integrated optical-storage-charging power station is a distributed integrated optical-storage-charging power station.

According to yet another aspect of the present application, an energy storage control device is provided, which is applied to an integrated solar-storage-charging power station, and the device includes: an estimation module, configured to obtain the first estimated user usage rate during the next day's peak electricity price period. Electricity, the second estimated user electricity consumption in the parity electricity price period of the next day, and the estimated photovoltaic power generation amount of the next day; the first comparison module is used to compare the estimated photovoltaic power generation amount with the first estimated compare the power consumption of the user, and after determining that the estimated photovoltaic power generation is not greater than the first estimated user power consumption, send an energy storage command to the integrated solar-storage-charging power station, and after determining the estimated Execute the next step after the estimated photovoltaic power generation is greater than the first estimated user power consumption; the second comparison module is used to compare the estimated photovoltaic power generation and the first estimated user power consumption with the The sum of the second estimated user electricity consumption is compared, and after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated user electricity consumption and the second estimated user electricity consumption The solar-storage-charge integrated power station sends a first energy supply command, and after determining that the estimated photovoltaic power generation is greater than the sum of the first estimated user power consumption and the second estimated user power consumption, The solar-storage-charge integrated power station sends a second energy supply instruction.

According to yet another aspect of the present application, an energy storage control device is provided, including a memory and a processor, the memory stores a computer program executed by the processor, and the computer program is executed by the processor , so that the processor executes any one of the energy storage control methods described above.

According to yet another aspect of the present application, a photovoltaic system is provided, including an integrated solar-storage-charger power station and the energy storage control device described above.

According to still another aspect of the present application, a computer-readable storage medium is provided, and a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the processor executes any one of the above-mentioned The energy storage control method described in the item.

According to the energy storage control method, device, system, and storage medium of the embodiments of the present application, by predicting the electricity consumption during the peak electricity price period of the next day, the electricity consumption during the parity period, and the photovoltaic power generation amount, the peak and valley electricity prices are combined. According to the cycle and daily actual power consumption, the reasonable power distribution is carried out, and the economic benefits of photovoltaic and energy storage are maximized.

Description of drawings

The above and other objects, features and advantages of the present application will become more apparent through a more detailed description of the embodiments of the present application in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of the present application, and constitute a part of the specification, and are used together with the embodiments of the present application to explain the present application, and do not constitute limitations to the present application. In the drawings, the same reference numerals generally represent the same components or steps.

Fig. 1 shows a schematic block diagram of an example electronic device for implementing the energy storage control method and apparatus according to the embodiments of the present invention.

Fig. 2 shows a schematic flowchart of an energy storage control method according to an embodiment of the present application.

Fig. 3 shows a schematic flowchart of adjusting power dispatching after it is determined that the estimated photovoltaic power generation is not greater than the first estimated user power consumption according to an embodiment of the present application.

Fig. 4 shows a schematic flowchart for adjusting power dispatching after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated user power consumption and the second estimated user power consumption according to an embodiment of the present application .

Fig. 5 shows a schematic flow chart of adjusting power scheduling after determining that the estimated photovoltaic power generation is greater than the sum of the first estimated user electricity consumption and the second estimated user electricity consumption according to an embodiment of the present application.

Fig. 6 shows a schematic structural block diagram of an energy storage control device according to an embodiment of the present application.

Fig. 7 shows a schematic structural block diagram of another energy storage control device according to an embodiment of the present application.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more apparent, exemplary embodiments according to the present application will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here. Based on the embodiments of the present application described in the present application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present application.

First, an example electronic device 100 for implementing the energy storage control method and apparatus of the embodiments of the present invention is described with reference to FIG. 1 .

As shown in FIG. 1 , an electronic device 100 includes one or more processors 102, one or more storage devices 104, an input device 106, and an output device 108. These components are connected through a bus system 110 and/or other forms of connection mechanism (not shown shown) interconnection. It should be noted that the components and structure of the electronic device 100 shown in FIG. 1 are only exemplary rather than limiting, and the electronic device may also have other components and structures as required.

The processor 102 may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.

The storage device 104 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and/or cache memory (cache). The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, and the like. One or more computer program instructions can be stored on the computer-readable storage medium, and the processor 102 can execute the program instructions to realize the client functions (implemented by the processor) in the embodiments of the present invention described below and/or other desired functionality. Various application programs and various data, such as various data used and/or generated by the application programs, may also be stored in the computer-readable storage medium.

The input device 106 may be a device used by a user to input instructions, and may include one or more of a keyboard, a mouse, a microphone, and a touch screen. In addition, the input device 106 may also be any interface for receiving information.

The output device 108 may output various information (such as images or sounds) to the outside (such as a user), and may include one or more of a display, a speaker, and the like. In addition, the output device 108 may also be any other device with an output function.

Exemplarily, example electronic devices for implementing the energy storage control method and apparatus according to the embodiments of the present invention may be implemented such as mobile phones, computers, and the like.

Next, an energy storage control method 200 according to an embodiment of the present application will be described with reference to FIG. 2 . As shown in FIG. 2, the energy storage control method 200 is applied to an integrated solar-storage-charging power station, and may include the following steps:

In step S210, the first estimated user electricity consumption during the peak electricity price period of the next day, the second estimated user electricity consumption during the next day's parity electricity price period, and the estimated photovoltaic power generation amount of the next day are obtained.

In step S220, the estimated photovoltaic power generation is compared with the first estimated user power consumption, and after determining that the estimated photovoltaic power generation is not greater than the first estimated user power consumption, The solar-storage-charge integrated power station sends an energy storage command, and executes the next step after determining that the estimated photovoltaic power generation is greater than the first estimated user power consumption.

In step S230, compare the estimated photovoltaic power generation with the sum of the first estimated user power consumption and the second estimated user power consumption, and determine that the estimated photovoltaic power generation is not If it is greater than the sum of the first estimated user power consumption and the second estimated user power consumption, send a first energy supply command to the integrated solar-storage-charge power station, and then determine the estimated photovoltaic power generation After the sum of the first estimated user power consumption and the second estimated user power consumption is greater than the sum, a second energy supply instruction is sent to the integrated optical-storage-charge power station.

In the embodiment of the present application, the energy storage control method 200 provides a method for allocating electric energy in combination with peak-valley electricity price cycles and user electricity consumption. Specifically, the energy storage control method 200 combines the cycle of peak and valley electricity prices with the actual daily electricity consumption by predicting the electricity consumption during the next day's peak electricity price period, the electricity consumption during the parity period, and the photovoltaic power generation amount. , to carry out reasonable power distribution, and maximize the economic benefits of photovoltaic and energy storage.

It should be noted that the solar-storage-charge integrated power station is a comprehensive functional power station that integrates photovoltaic power generation, energy storage, and charging. The energy storage power station and the power grid supply power to users together, which not only realizes peak shaving and valley filling, but also effectively solves the problems of intermittency and instability of new energy power generation. In this embodiment, the integrated solar-storage-charging power station can be selected as a distributed solar-storage-charging integrated power station.

It should be noted that the peak-valley electricity price, also known as "time-of-use electricity price", is an electricity price system that calculates electricity charges separately according to peak electricity consumption and low-valley electricity consumption. Peak power consumption generally refers to the electricity consumption when the power consumption units are relatively concentrated and the power supply is tense. For example, during the day, the charging standard is higher; During the night, the charges are lower. In a day, the peak and valley periods can be divided into three periods, which are the peak electricity price period, the parity electricity price period and the valley value electricity price period. , which are divided according to the actual situation and are not limited.

In an embodiment of the present application, acquiring the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period may include: acquiring historical electricity consumption data ; Based on the historical electricity consumption data, calculate the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period through a neural network model. Specifically, the historical electricity consumption data is input into the neural network model, and the historical electricity consumption data is calculated through the neural network model, thereby estimating the user's first estimated user electricity consumption during the peak electricity price period of the next day and the second estimated electricity consumption of the user in the parity electricity price period of the next day. Among them, the historical electricity consumption data refers to the electricity consumption of the user in the past period of time, which can include the total electricity consumption, the electricity consumption during the peak electricity price period, the electricity consumption during the parity electricity price period, and the electricity consumption during the valley value period. Electricity consumption during the electricity price period, etc. The neural network model may be a recurrent neural network (Recurrent Neural Network, RNN) model such as a long short-term memory model (Long short-termmemory, LSTM for short), which is not limited.

In the embodiment of the present application, obtaining the estimated photovoltaic power generation of the next day includes: obtaining historical photovoltaic power generation data and next day's weather data; calculating the next day's estimated photovoltaic power generation data and next day's weather data power generation. Among them, the historical photovoltaic power generation data refers to the power generation of the solar-storage-charge integrated power station in the past period of time, which can include the total power generation, the power generation in a certain period of time in a day, and the power generation in a certain weather condition. power generation, etc. The next day's weather data can be obtained according to the weather forecast software. Weather data such as sunny, cloudy, cloudy, etc., the next day's weather data and historical photovoltaic power generation data are matched and calculated, so that the next day's photovoltaic power generation can be estimated.

In the embodiment of this application, after sending the energy storage command to the integrated solar-storage-charged power station, the integrated solar-storage-charged power station can carry out pre-storage in advance according to the energy storage command during the valley value electricity price period at night, and the peak electricity price of the next day The user's power consumption during the period can be supplied by photovoltaic power generation and pre-stored power. Among them, the pre-stored power of the solar-storage-charge integrated power station during the night valley power price period can be calculated according to the following formula:

P _IL = (P _CP -P _PV )/η ₁

Among them, P _IL is the pre-stored power during the valley price period, P _CP is the first estimated user power consumption during the peak power price period of the next day, PP _PV is the estimated photovoltaic power generation capacity of the next day, and η ₁ is the situation Lower the round-trip efficiency of energy storage.

In the embodiment of this application, after sending the first energy supply command to the integrated solar-storage-charging power station, the solar-storage-charging integrated power station can mobilize photovoltaic power generation and storage The energy and electricity are used by users. During the parity price period of the next day, the solar-storage-charge integrated power station can mobilize the surplus of photovoltaic power generation for users according to the first energy supply command. Among them, the power consumption of users in the daily parity price period supplied by photovoltaic power generation can be calculated according to the following formula:

P _PVN =P _PV -P _CP ×η ₂

Among them, PP _PVN is the user's electricity consumption directly provided by photovoltaic power generation during the parity electricity price period, P _CP is the first estimated user's electricity consumption during the peak electricity price period of the next day, and PP _PV is the estimated photovoltaic power generation amount of the next day , η ₂ is the round-trip efficiency of energy storage in this situation.

In the embodiment of this application, after sending the second energy supply command to the integrated solar-storage-charging power station, the solar-storage-charging integrated power station can mobilize photovoltaic power generation to supply For users, during the parity price period of the next day, the photovoltaic storage and charging integrated power station can also mobilize photovoltaic power generation for users according to the second energy supply command. For the excess electricity generated by photovoltaic power generation on the next day, the solar-storage-charge integrated power station can sell this part of the excess electricity on the grid according to the second energy supply order. The excess electricity sold in grid connection can be calculated according to the following formula:

Ps＝P _PV -(P _CP +P _pv )×η ₃

Among them, P _S is the excess power sold on the grid, P _CP is the first estimated user power consumption during the peak power price period of the next day, PP _PV is the estimated photovoltaic power generation capacity of the next day, and η ₃ is the storage capacity in this situation. Energy round-trip efficiency.

In the above, one day is used as a cycle. By predicting the photovoltaic power generation and user power consumption of the next day, power dispatching is carried out in advance according to the predicted photovoltaic power generation and user power consumption of the next day, so that the photovoltaic power generation can be guaranteed. Supply the user's electricity consumption during the peak electricity price period. When the user's electricity consumption during the peak electricity price period is greater than the photovoltaic power generation, the energy storage will store energy one day in advance during the valley electricity price period, which can maximize the peak shaving of energy storage Valley filling benefits.

It should be noted that due to the gap between the actual power generation of photovoltaics and the actual power consumption of users and the estimated data, adjustments can also be made according to the actual situation during the power station dispatching process. Specifically, real-time monitoring of photovoltaic power generation and user power consumption can be used to adjust power distribution. When there is a gap between photovoltaic power generation and user power consumption, it can be adjusted in time to ensure that it can still be used in actual use. Ensure maximum economic benefits. The following describes how to adjust power dispatching according to actual conditions.

In the embodiment of the present application, as shown in Figure 3, after it is determined that the estimated photovoltaic power generation is not greater than the first estimated user power consumption, adjusting the power dispatch includes: obtaining the actual photovoltaic power generation and actual user power consumption amount; compare the first difference between the actual photovoltaic power generation and actual user power consumption with the second difference between the estimated photovoltaic power generation and actual user power consumption, and determine that the first difference is not greater than the second difference The third energy supply command is sent to the integrated solar-storage-charging power station after the value is greater than the second difference, and the fourth energy-supply command is sent to the solar-storage-charging integrated power station after it is determined that the first difference is greater than the second difference. Among them, when obtaining the actual photovoltaic power generation and actual user power consumption, it can be in units of hours. Correspondingly, the estimated photovoltaic power generation should also be in hours, or data collection can also be done based on other units. To limit. When the first difference is not greater than the second difference, it indicates that the actual photovoltaic power generation cannot meet the user's electricity consumption during the peak electricity price period, and the solar-storage-charge integrated power station can combine the photovoltaic power generation and the pre-stored power All of them are used for the user's electricity consumption during the peak electricity price period; when the first difference is greater than the second difference, the photovoltaic power storage and charging integrated power station can give priority to ensuring that the photovoltaic power generation and pre-storage electricity are used for the peak electricity price period according to the fourth energy supply instruction The electricity consumption of users, the surplus of photovoltaic power generation will be used for power supply during the period of parity electricity price, and if there is still surplus, it can be sold on the grid.

In the embodiment of the present application, as shown in Figure 4, after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated user power consumption and the second estimated user power consumption, adjusting the power dispatch includes : Obtain the actual photovoltaic power generation and actual user power consumption; compare the first difference between the actual photovoltaic power generation and actual user power consumption with the second difference between the estimated photovoltaic power generation and actual user power consumption, and After it is determined that the first difference is not greater than the second difference, the fifth energy supply command is sent to the integrated optical storage and charging power station, and after the first difference is determined to be greater than the second difference, the sixth energy supply instruction is sent to the integrated optical storage and charging power station. can command. Among them, when obtaining the actual photovoltaic power generation and actual user power consumption, it can be in units of hours. Correspondingly, the estimated photovoltaic power generation should also be in hours, or data collection can also be done based on other units. To limit. When the first difference is not greater than the second difference, the solar-storage-charge integrated power station can give priority to ensuring that the photovoltaic power generation and pre-storage power are used for the user's power consumption during the peak power price period according to the fifth energy supply order, and the remaining photovoltaic power generation When the first difference is greater than the second difference, the solar-storage-charge integrated power station can increase the power supply of photovoltaic power generation to users during the parity price period according to the sixth energy supply instruction, such as photovoltaic power generation If there is any surplus, it can be sold online.

In the embodiment of the present application, as shown in Figure 5, after determining that the estimated photovoltaic power generation is greater than the sum of the first estimated user power consumption and the second estimated user power consumption, adjusting the power dispatch includes: Obtain the actual photovoltaic power generation and actual user power consumption; compare the first difference between the actual photovoltaic power generation and actual user power consumption with the second difference between the estimated photovoltaic power generation and actual user power consumption, and After determining that the first difference is not greater than the second difference, send the seventh energy supply command to the integrated optical storage and charging power station, and after determining that the first difference is greater than the second difference, send the eighth energy supply to the integrated optical storage and charging power station instruction. Among them, when obtaining the actual photovoltaic power generation and actual user power consumption, it can be in units of hours. Correspondingly, the estimated photovoltaic power generation should also be in hours, or data collection can also be done based on other units. To limit. When the first difference is not greater than the second difference, the solar-storage-charge integrated power station can give priority to ensuring that the photovoltaic power generation and pre-storage power are used for the user's power consumption during the peak power price period according to the seventh energy supply instruction, and the remaining photovoltaic power generation If there is still surplus photovoltaic power generation, it can be sold on the grid; when the first difference is greater than the second difference, the solar-storage-charge integrated power station can increase the photovoltaic power generation according to the eighth energy supply order. During the period of parity electricity price, if there is still a surplus of photovoltaic power generation, it can be sold on the grid.

Based on the above description, the energy storage control method according to the embodiment of the present application predicts the electricity consumption during the peak electricity price period of the next day, the electricity consumption during the parity period, and the photovoltaic power generation, thus combining the cycle of peak and valley electricity prices and the daily According to the actual daily power consumption, the reasonable power distribution can be carried out, and the economic benefits of photovoltaic and energy storage can be realized to the maximum extent.

The above exemplarily describes the energy storage control method according to the embodiment of the present application. An energy storage control device provided by another aspect of the present application is described below with reference to FIG. 6 . Fig. 6 shows a schematic block diagram of an energy storage control device 600 according to an embodiment of the present application. As shown in FIG. 6 , the energy storage control device 600 according to the embodiment of the present application is applied to an integrated optical storage and charging power station, and may include an estimation module 610 , a first comparison module 620 and a second comparison module 630 . Wherein, the estimation module 610 is used to obtain the first estimated user electricity consumption during the peak electricity price period of the next day, the second estimated user electricity consumption during the next day's parity electricity price period, and the estimated photovoltaic power generation amount of the next day; The first comparison module 620 is used to compare the estimated photovoltaic power generation with the first estimated user power consumption, and determine that the estimated photovoltaic power generation is not greater than the first estimated user power consumption After the energy storage command is sent to the integrated solar-storage-charging power station, and the next step is executed after it is determined that the estimated photovoltaic power generation is greater than the first estimated user power consumption; the second comparison module 630 is used to Comparing the estimated photovoltaic power generation with the sum of the first estimated user power consumption and the second estimated user power consumption, and determining that the estimated photovoltaic power generation is not greater than the first After the sum of the estimated user power consumption and the second estimated user power consumption, a first energy supply command is sent to the integrated solar-storage-charging power station, and when it is determined that the estimated photovoltaic power generation is greater than the second After the sum of the estimated user power consumption and the second estimated user power consumption, a second energy supply instruction is sent to the integrated solar-storage-charging power station.

Among them, the estimation module 610, the first comparison module 620 and the second comparison module 630 can be realized by the processor 102 in the electronic device 100 shown in FIG. 1 running the program instructions stored in the memory 104, and can execute the Corresponding steps in the energy storage control method of the embodiment. In the following, only the main functions of the modules of the energy storage control device 600 will be described, and the details described above will be omitted.

It should be noted that the solar-storage-charge integrated power station is a comprehensive functional power station that integrates photovoltaic power generation, energy storage, and charging. The energy storage power station and the power grid supply power to users together, which not only realizes peak shaving and valley filling, but also effectively solves the problems of intermittency and instability of new energy power generation. In this embodiment, the integrated solar-storage-charging power station can be selected as a distributed solar-storage-charging integrated power station.

It should be noted that the peak-valley electricity price, also known as "time-of-use electricity price", is an electricity price system that calculates electricity charges separately according to peak electricity consumption and low-valley electricity consumption. Peak power consumption generally refers to the electricity consumption when the power consumption units are relatively concentrated and the power supply is tense. For example, during the day, the charging standard is higher; During the night, the charges are lower. In a day, the peak and valley periods can be divided into three periods, which are the peak electricity price period, the parity electricity price period and the valley value electricity price period. , which are divided according to the actual situation and are not limited.

In an embodiment of the present application, acquiring the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period may include: acquiring historical electricity consumption data ; Based on the historical electricity consumption data, calculate the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period through a neural network model. Specifically, the historical electricity consumption data is input into the neural network model, and the historical electricity consumption data is calculated through the neural network model, thereby estimating the user's first estimated user electricity consumption during the peak electricity price period of the next day and the second estimated electricity consumption of the user in the parity electricity price period of the next day. Among them, the historical electricity consumption data refers to the electricity consumption of the user in the past period of time, which can include the total electricity consumption, the electricity consumption during the peak electricity price period, the electricity consumption during the parity electricity price period, and the electricity consumption during the valley value period. Electricity consumption during the electricity price period, etc. The neural network model may be a recurrent neural network (Recurrent Neural Network, RNN) model such as a long short-term memory model (Long short-termmemory, LSTM for short), which is not limited.

In the embodiment of the present application, obtaining the estimated photovoltaic power generation of the next day includes: obtaining historical photovoltaic power generation data and next day's weather data; calculating the next day's estimated photovoltaic power generation data and next day's weather data power generation. Among them, the historical photovoltaic power generation data refers to the power generation of the solar-storage-charge integrated power station in the past period of time, which can include the total power generation, the power generation in a certain period of time in a day, and the power generation in a certain weather condition. power generation, etc. The next day's weather data can be obtained according to the weather forecast software. Weather data such as sunny, cloudy, cloudy, etc., the next day's weather data and historical photovoltaic power generation data are matched and calculated, so that the next day's photovoltaic power generation can be estimated.

In the embodiment of this application, after sending the energy storage command to the integrated solar-storage-charged power station, the integrated solar-storage-charged power station can carry out pre-storage in advance according to the energy storage command during the valley value electricity price period at night, and the peak electricity price of the next day The user's power consumption during the period can be supplied by photovoltaic power generation and pre-stored power. Among them, the pre-stored power of the solar-storage-charge integrated power station during the night valley power price period can be calculated according to the following formula:

P _IL = (P _CP -P _PV )/η ₁

Among them, P _IL is the pre-stored power during the valley price period, P _CP is the first estimated user power consumption during the peak power price period of the next day, PP _PV is the estimated photovoltaic power generation capacity of the next day, and η ₁ is the situation Lower the round-trip efficiency of energy storage.

In the embodiment of this application, after sending the first energy supply command to the integrated solar-storage-charging power station, the solar-storage-charging integrated power station can mobilize photovoltaic power generation and storage The energy and electricity are used by users. During the parity price period of the next day, the solar-storage-charge integrated power station can mobilize the surplus of photovoltaic power generation for users according to the first energy supply command. Among them, the power consumption of users in the daily parity price period supplied by photovoltaic power generation can be calculated according to the following formula:

P _PVN =P _PV -P _CP ×η ₂

Among them, PP _PVN is the user's electricity consumption directly provided by photovoltaic power generation during the parity electricity price period, P _CP is the first estimated user's electricity consumption during the peak electricity price period of the next day, and PP _PV is the estimated photovoltaic power generation amount of the next day , η ₂ is the round-trip efficiency of energy storage in this situation.

In the embodiment of this application, after sending the second energy supply command to the integrated solar-storage-charging power station, the solar-storage-charging integrated power station can mobilize photovoltaic power generation to supply For users, during the parity price period of the next day, the photovoltaic storage and charging integrated power station can also mobilize photovoltaic power generation for users according to the second energy supply command. For the excess electricity generated by photovoltaic power generation on the next day, the solar-storage-charge integrated power station can sell this part of the excess electricity on the grid according to the second energy supply order. The excess electricity sold in grid connection can be calculated according to the following formula:

Ps＝P _PV -(P _CP +P _pv )×η ₃

Among them, P _S is the excess power sold on the grid, P _CP is the first estimated user power consumption during the peak power price period of the next day, PP _PV is the estimated photovoltaic power generation capacity of the next day, and η ₃ is the storage capacity in this situation. Energy round-trip efficiency.

In the above, one day is used as a cycle. By predicting the photovoltaic power generation and user power consumption of the next day, power dispatching is carried out in advance according to the predicted photovoltaic power generation and user power consumption of the next day, so that the photovoltaic power generation can be guaranteed. Supply the user's electricity consumption during the peak electricity price period. When the user's electricity consumption during the peak electricity price period is greater than the photovoltaic power generation, the energy storage will store energy one day in advance during the valley electricity price period, which can maximize the peak shaving of energy storage Valley filling benefits.

It should be noted that due to the gap between the actual power generation of photovoltaics and the actual power consumption of users and the estimated data, adjustments can also be made according to the actual situation during the power station dispatching process. Specifically, real-time monitoring of photovoltaic power generation and user power consumption can be used to adjust power distribution. When there is a gap between photovoltaic power generation and user power consumption, it can be adjusted in time to ensure that it can still be used in actual use. Ensure maximum economic benefits. The following describes how to adjust power dispatching according to actual conditions.

In the embodiment of the present application, as shown in Figure 3, after it is determined that the estimated photovoltaic power generation is not greater than the first estimated user power consumption, adjusting the power dispatch includes: obtaining the actual photovoltaic power generation and actual user power consumption amount; compare the first difference between the actual photovoltaic power generation and actual user power consumption with the second difference between the estimated photovoltaic power generation and actual user power consumption, and determine that the first difference is not greater than the second difference The third energy supply command is sent to the integrated solar-storage-charging power station after the value is greater than the second difference, and the fourth energy-supply command is sent to the solar-storage-charging integrated power station after it is determined that the first difference is greater than the second difference. Among them, when obtaining the actual photovoltaic power generation and actual user power consumption, it can be in units of hours. Correspondingly, the estimated photovoltaic power generation should also be in hours, or data collection can also be done based on other units. To limit. When the first difference is not greater than the second difference, it indicates that the actual photovoltaic power generation cannot meet the user's electricity consumption during the peak electricity price period, and the solar-storage-charge integrated power station can combine the photovoltaic power generation and the pre-stored power All of them are used for the user's electricity consumption during the peak electricity price period; when the first difference is greater than the second difference, the photovoltaic power storage and charging integrated power station can give priority to ensuring that the photovoltaic power generation and pre-storage electricity are used for the peak electricity price period according to the fourth energy supply instruction The electricity consumption of users, the surplus of photovoltaic power generation will be used for power supply during the period of parity electricity price, and if there is still surplus, it can be sold on the grid.

In the embodiment of the present application, as shown in Figure 4, after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated user power consumption and the second estimated user power consumption, adjusting the power dispatch includes : Obtain the actual photovoltaic power generation and actual user power consumption; compare the first difference between the actual photovoltaic power generation and actual user power consumption with the second difference between the estimated photovoltaic power generation and actual user power consumption, and After it is determined that the first difference is not greater than the second difference, the fifth energy supply command is sent to the integrated optical storage and charging power station, and after the first difference is determined to be greater than the second difference, the sixth energy supply instruction is sent to the integrated optical storage and charging power station. can command. Among them, when obtaining the actual photovoltaic power generation and actual user power consumption, it can be in units of hours. Correspondingly, the estimated photovoltaic power generation should also be in hours, or data collection can also be done based on other units. To limit. When the first difference is not greater than the second difference, the solar-storage-charge integrated power station can give priority to ensuring that the photovoltaic power generation and pre-storage power are used for the user's power consumption during the peak power price period according to the fifth energy supply order, and the remaining photovoltaic power generation When the first difference is greater than the second difference, the solar-storage-charge integrated power station can increase the power supply of photovoltaic power generation to users during the parity price period according to the sixth energy supply instruction, such as photovoltaic power generation If there is any surplus, it can be sold online.

In the embodiment of the present application, as shown in Figure 5, after determining that the estimated photovoltaic power generation is greater than the sum of the first estimated user power consumption and the second estimated user power consumption, adjusting the power dispatch includes: Obtain the actual photovoltaic power generation and actual user power consumption; compare the first difference between the actual photovoltaic power generation and actual user power consumption with the second difference between the estimated photovoltaic power generation and actual user power consumption, and After determining that the first difference is not greater than the second difference, send the seventh energy supply command to the integrated optical storage and charging power station, and after determining that the first difference is greater than the second difference, send the eighth energy supply to the integrated optical storage and charging power station instruction. Among them, when obtaining the actual photovoltaic power generation and actual user power consumption, it can be in units of hours. Correspondingly, the estimated photovoltaic power generation should also be in hours, or data collection can also be done based on other units. To limit. When the first difference is not greater than the second difference, the solar-storage-charge integrated power station can give priority to ensuring that the photovoltaic power generation and pre-storage power are used for the user's power consumption during the peak power price period according to the seventh energy supply instruction, and the remaining photovoltaic power generation If there is still surplus photovoltaic power generation, it can be sold on the grid; when the first difference is greater than the second difference, the solar-storage-charge integrated power station can increase the photovoltaic power generation according to the eighth energy supply order. During the period of parity electricity price, if there is still a surplus of photovoltaic power generation, it can be sold on the grid.

According to yet another aspect of the present application, another energy storage control device is provided. Fig. 7 shows a schematic block diagram of another energy storage control device 700 according to an embodiment of the present application. As shown in FIG. 7, the energy storage control device 700 according to the embodiment of the present application is applied to an integrated optical storage and charging power station, and may include a memory 710 and a processor 720. The memory 710 stores a computer program run by the processor 720. When the computer program is run by the processor 720, the processor 720 executes the aforementioned energy storage control method according to the embodiment of the present application. Those skilled in the art can understand the specific operations of the energy storage control device according to the embodiment of the present application in combination with the foregoing content. For the sake of brevity, specific details are not repeated here, and only some main operations of the processor 720 are described.

In one embodiment of the present application, when the computer program is run by the processor 720, the processor 720 executes the following steps: obtain the first estimated user electricity consumption during the next day's peak electricity price period, and obtain the next day's parity electricity price period The second estimated user electricity consumption and the estimated photovoltaic power generation amount of the next day; compare the estimated photovoltaic power generation amount with the first estimated user electricity consumption, and determine that the estimated photovoltaic power generation amount is not greater than the first estimated After estimating the user's electricity consumption, send an energy storage command to the integrated solar-storage-charging power station, and execute the next step after confirming that the estimated photovoltaic power generation is greater than the first estimated user's electricity consumption; the estimated photovoltaic power generation and the first Comparing the estimated electricity consumption of the user with the sum of the second estimated electricity consumption of the user, and after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated electricity consumption of the user and the second estimated electricity consumption of the user Send the first energy supply command to the integrated solar-storage-charged power station, and send it to the integrated solar-storage-charged power station after determining that the estimated photovoltaic power generation is greater than the sum of the first estimated user power consumption and the second estimated user power consumption Second energy supply command.

In one embodiment of the present application, obtaining the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period include: obtaining historical electricity consumption data ; Calculate the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period based on the historical electricity consumption data through the neural network model.

In one embodiment of the present application, obtaining the estimated photovoltaic power generation of the next day includes: obtaining historical photovoltaic power generation data and next day's weather data; calculating the forecast of the next day according to the historical photovoltaic power generation data and next day's weather data Photovoltaic power generation.

In one embodiment of the present application, when the computer program is run by the processor 720, the processor 720 also executes the step of adjusting the power scheduling, and when it is determined that the estimated photovoltaic power generation is not greater than the first estimated user power consumption Finally, the adjustment of power dispatching includes: obtaining the actual photovoltaic power generation and actual user power consumption; the first difference between the actual photovoltaic power generation and actual user power consumption and the estimated photovoltaic power generation and actual user power consumption The second difference is compared, and after it is determined that the first difference is not greater than the second difference, a third energy supply command is sent to the integrated optical storage and charging power station, and after the first difference is determined to be greater than the second difference, the third energy supply command is sent to the optical storage The integrated charging station sends a fourth energy supply instruction.

In one embodiment of the present application, when the computer program is run by the processor 720, the processor 720 also executes the step of adjusting the power scheduling, and when it is determined that the estimated photovoltaic power generation is not greater than the first estimated user power consumption After the sum of the second estimated user power consumption, the adjustment of power dispatching includes: obtaining the actual photovoltaic power generation and actual user power consumption; and the first difference between the actual photovoltaic power generation and actual user power consumption and the estimated Compare the second difference between the estimated photovoltaic power generation and the actual user power consumption, and after determining that the first difference is not greater than the second difference, send the fifth energy supply command to the integrated solar-storage-charging power station. After the difference is greater than the second difference, a sixth energy supply instruction is sent to the integrated solar-storage-charger station.

In one embodiment of the present application, when the computer program is run by the processor 720, the processor 720 further executes the step of adjusting the power dispatch, and when it is determined that the estimated photovoltaic power generation is greater than the first estimated user power consumption and After the sum of the second estimated user power consumption, the adjustment of power dispatching includes: obtaining the actual photovoltaic power generation and actual user power consumption; and the first difference between the actual photovoltaic power generation and actual user power consumption and the estimated Compare the second difference between the amount of photovoltaic power generation and the actual user’s electricity consumption, and send the seventh energy supply command to the integrated solar-storage-charging power station after determining that the first difference is not greater than the second difference. After the value is greater than the second difference, an eighth energy supply command is sent to the integrated solar-storage-charger station.

Based on the above description, the energy storage control device according to the embodiment of the application predicts the electricity consumption during the peak electricity price period of the next day, the electricity consumption during the parity period, and the photovoltaic power generation, thus combining the cycle of peak and valley electricity prices and the daily According to the actual daily power consumption, the reasonable power distribution can be carried out, and the economic benefits of photovoltaic and energy storage can be realized to the maximum extent.

In addition, according to the embodiment of the present application, a storage medium is also provided, on which a computer program is stored, and when the computer program is run by a computer or a processor, it is used to execute the energy storage control of the embodiment of the present application. corresponding steps of the method. The storage medium may include, for example, a memory card of a smart phone, a storage unit of a tablet computer, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disk ROM, etc. (CD-ROM), USB memory, or any combination of the above storage media. The computer readable storage medium can be any combination of one or more computer readable storage medium.

In one embodiment of the present application, when the computer program is run by a computer or a processor, it can implement each functional module of the energy storage control device according to the embodiment of the present invention, and/or can execute the storage system according to the embodiment of the present invention. able to control the method.

In one embodiment of the present application, when the computer program is run by the computer or the processor, the computer or the processor executes the following steps: obtain the first estimated user electricity consumption during the peak electricity price period of the next day, and the parity electricity price of the next day The second estimated power consumption of the user in the time period and the estimated photovoltaic power generation of the next day; compare the estimated photovoltaic power generation with the first estimated user power consumption, and determine that the estimated photovoltaic power generation is not greater than the first After estimating the user's power consumption, send an energy storage command to the integrated solar-storage-charging power station, and execute the next step after confirming that the estimated photovoltaic power generation is greater than the first estimated user's power consumption; the estimated photovoltaic power generation and the second Comparing the sum of the estimated electricity consumption of the first user with the sum of the second estimated electricity consumption of the user, and determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated electricity consumption of the user and the second estimated electricity consumption of the user Then send the first energy supply command to the integrated solar-storage-charged power station, and then send the integrated solar-storage-charged power station Send the second energy supply instruction.

In one embodiment of the present application, obtaining the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period include: obtaining historical electricity consumption data ; Calculate the first estimated user electricity consumption during the next day's peak electricity price period and the second estimated user electricity consumption during the next day's parity electricity price period based on the historical electricity consumption data through the neural network model.

In one embodiment of the present application, obtaining the estimated photovoltaic power generation of the next day includes: obtaining historical photovoltaic power generation data and next day's weather data; calculating the forecast of the next day according to the historical photovoltaic power generation data and next day's weather data Photovoltaic power generation.

In one embodiment of the present application, when the computer program is run by the computer or the processor, the computer or the processor also executes the step of adjusting the power scheduling, and when it is determined that the estimated photovoltaic power generation is not greater than the first estimated user power consumption After measuring, adjusting the power dispatch includes: obtaining the actual photovoltaic power generation and actual user power consumption; comparing the first difference between the actual photovoltaic power generation and actual user power consumption with the estimated photovoltaic power generation and actual user power consumption The second difference is compared, and after determining that the first difference is not greater than the second difference, a third energy supply command is sent to the integrated power station for optical storage and charging, and after determining that the first difference is greater than the second difference, the third energy supply command is sent to the optical The integrated storage and charging power station sends a fourth energy supply instruction.

In one embodiment of the present application, when the computer program is run by the computer or the processor, the computer or the processor also executes the step of adjusting the power scheduling, and when it is determined that the estimated photovoltaic power generation is not greater than the first estimated user power consumption After the sum of the actual photovoltaic power generation and the second estimated user power consumption, adjusting the power dispatch includes: obtaining the actual photovoltaic power generation and actual user power consumption; combining the first difference between the actual photovoltaic power generation and actual user power consumption with Compare the second difference between the estimated photovoltaic power generation and the actual user's electricity consumption, and send the fifth energy supply command to the integrated solar-storage-charging power station after determining that the first difference is not greater than the second difference. After the first difference is greater than the second difference, a sixth energy supply command is sent to the integrated solar-storage-charger station.

In one embodiment of the present application, when the computer program is run by the computer or the processor, the computer or the processor further executes the step of adjusting the power scheduling, and when it is determined that the estimated photovoltaic power generation is greater than the first estimated user power consumption After the sum of the second estimated user power consumption, the adjustment of power dispatching includes: obtaining the actual photovoltaic power generation and actual user power consumption; and the first difference between the actual photovoltaic power generation and actual user power consumption and the estimated Compare the second difference between the estimated photovoltaic power generation and the actual user power consumption, and send the seventh energy supply command to the integrated photovoltaic power station after determining that the first difference is not greater than the second difference. After the difference is greater than the second difference, an eighth energy supply command is sent to the integrated solar-storage-charging power station.

In addition, a computer program is also provided, and the computer program can be stored in the cloud or on a local storage medium. When the computer program is run by a computer or a processor, it is used to execute the corresponding steps of the energy storage control method of the embodiment of the present invention, and is used to realize the corresponding modules in the energy storage control device according to the embodiment of the present invention.

In addition, a photovoltaic system is also provided, and the photovoltaic system includes an integrated solar-storage-charging power station and an energy storage control device. The energy storage control device can be implemented as the energy storage control device 600, 700 mentioned above, and reference can be made to the above description, which will not be repeated here. The integrated solar-storage-charging power station can be selected as a distributed solar-storage-charging integrated power station or other types of solar-storage-charging integrated power station, which is not limited.

Based on the above description, according to the energy storage control method, device, system, and storage medium of the embodiments of the present application, by predicting the electricity consumption during the peak electricity price period of the next day, the electricity consumption during the parity period, and the photovoltaic power generation amount, the combined According to the cycle of peak and valley electricity prices and the actual daily electricity consumption, a reasonable distribution of electric energy is carried out, and the economic benefits of photovoltaic and energy storage are maximized.

Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above-described example embodiments are exemplary only, and are not intended to limit the scope of the application thereto. Various changes and modifications can be made therein by those of ordinary skill in the art without departing from the scope and spirit of the application. All such changes and modifications are intended to be included within the scope of this application as claimed in the appended claims.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another device, or some features may be omitted, or not implemented.

In the description provided herein, numerous specific details are set forth. However, it is understood that the embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Similarly, it should be understood that in the description of the exemplary embodiments of the application, in order to streamline the application and to facilitate understanding of one or more of the various inventive aspects, various features of the application are sometimes grouped together into a single embodiment, figure , or in its description. This method of application, however, is not to be interpreted as reflecting an intention that the claimed application requires more features than are expressly recited in each claim. Rather, as the corresponding claims reflect, the inventive point lies in that the corresponding technical problem may be solved by using less than all features of a single disclosed embodiment. Thus, the claims following this Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this application.

It will be appreciated by those skilled in the art that all features disclosed in this specification (including accompanying claims, abstract and drawings) and all features of any method or apparatus so disclosed may be used in any combination, except where the features are mutually exclusive. process or unit. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

In addition, those skilled in the art will understand that although some embodiments described herein include some features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the present application. and form different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

The various component embodiments of the present application may be realized in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all functions of some modules according to the embodiments of the present application. The present application can also be implemented as an apparatus program (for example, a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program implementing the present application may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

The above is only the specific implementation of the application or the description of the specific implementation. The scope of protection of the application is not limited thereto. Any person familiar with the technical field can easily Any changes or substitutions that come to mind should be covered within the protection scope of the present application. The protection scope of the present application should be based on the protection scope of the claims.

Claims (11)

1. An energy storage control method is applied to a light storage and charging integrated power station, and is characterized by comprising the following steps:

acquiring first estimated user power consumption in a peak electricity price period of the next day, second estimated user power consumption in a flat electricity price period of the next day and estimated photovoltaic power generation amount of the next day;

comparing the estimated photovoltaic power generation amount with the first estimated user power consumption, sending an energy storage instruction to the light storage and charging integrated power station after determining that the estimated photovoltaic power generation amount is not larger than the first estimated user power consumption, and executing the next step after determining that the estimated photovoltaic power generation amount is larger than the first estimated user power consumption;

will predict photovoltaic power generation volume with first predict user power consumption with the second predicts the sum of user power consumption and compares, and is confirming it is not more than to predict photovoltaic power generation volume first predict user power consumption with the second predict with the back of user power consumption light is storing up and is filling integration power station and sending first energy supply instruction, is confirming it is greater than to predict photovoltaic power generation volume first predict user power consumption with the second predict with the back of user power consumption light is storing up and is filling integration power station and sending the second energy supply instruction.

2. The energy storage control method according to claim 1, wherein the obtaining of the first pre-estimated user electricity consumption in the peak electricity rate period of the next day and the second pre-estimated user electricity consumption in the flat electricity rate period of the next day comprises:

acquiring historical electricity consumption data;

and calculating the first pre-estimated user power consumption in the peak electricity price period of the next day and the second pre-estimated user power consumption in the flat electricity price period of the next day through a neural network model based on the historical power consumption data.

3. The energy storage control method according to claim 1, wherein obtaining the estimated photovoltaic power generation amount of the following day comprises:

acquiring historical photovoltaic power generation data and next day weather data;

and calculating the estimated photovoltaic power generation amount of the next day according to the historical photovoltaic power generation amount data and the weather data of the next day.

4. The energy storage control method of claim 1, further comprising the step of adjusting a power schedule, the adjusting the power schedule comprising, after determining that the estimated photovoltaic power generation is not greater than the first estimated customer power usage:

acquiring actual photovoltaic power generation capacity and actual user power consumption;

will actual photovoltaic power generation amount with the first difference of actual user power consumption with predict photovoltaic power generation amount with the second difference of actual user power consumption compares, and is confirming first difference is not more than behind the second difference light stores up and fills integration power station and send the third energy supply instruction, is confirming first difference is greater than behind the second difference light stores up and fills integration power station and send the fourth energy supply instruction.

5. The energy storage control method of claim 1, further comprising the step of adjusting a power schedule, the adjusting the power schedule comprising, after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated customer power usage and the second estimated customer power usage:

acquiring actual photovoltaic power generation capacity and actual user power consumption;

will actual photovoltaic power generation amount with the first difference of actual user power consumption with predict photovoltaic power generation amount with the second difference of actual user power consumption compares, and is confirming first difference is not more than behind the second difference light stores up and fills integration power station and send the fifth energy supply instruction, is confirming first difference is greater than behind the second difference light stores up and fills integration power station and send the sixth energy supply instruction.

6. The energy storage control method of claim 1, further comprising the step of adjusting a power schedule, the adjusting the power schedule comprising, after determining that the estimated photovoltaic power generation is greater than the sum of the first estimated customer power usage and the second estimated customer power usage:

acquiring actual photovoltaic power generation capacity and actual user power consumption;

will actual photovoltaic power generation amount with the first difference of actual user power consumption with predict photovoltaic power generation amount with the second difference of actual user power consumption compares, and is confirming first difference is not more than behind the second difference light stores up and fills integration power station and send the seventh energy supply instruction, is confirming first difference is greater than behind the second difference light stores up and fills integration power station and send the eighth energy supply instruction.

7. The energy storage control method according to claim 1, wherein the optical storage and charging integrated power station is a distributed optical storage and charging integrated power station.

8. An energy storage control device is applied to a light storage and charging integrated power station, and is characterized by comprising:

the estimation module is used for acquiring first estimation user power consumption in a peak electricity price period of the next day, second estimation user power consumption in a flat electricity price period of the next day and estimation photovoltaic power generation amount of the next day;

the first comparison module is used for comparing the estimated photovoltaic power generation amount with the first estimated user power consumption, sending an energy storage instruction to the optical storage and charging integrated power station after determining that the estimated photovoltaic power generation amount is not larger than the first estimated user power consumption, and executing the next step after determining that the estimated photovoltaic power generation amount is larger than the first estimated user power consumption;

the second comparison module is used for comparing the estimated photovoltaic power generation amount with the first estimated user power consumption with the second estimated user power consumption, determining that the estimated photovoltaic power generation amount is not larger than the first estimated user power consumption with the second estimated user power consumption and backward the light storage and charging integrated power station sends a first energy supply instruction, determining that the estimated photovoltaic power generation amount is larger than the first estimated user power consumption with the second estimated user power consumption and backward the light storage and charging integrated power station sends a second energy supply instruction.

9. An energy storage control apparatus comprising a memory and a processor, the memory having stored thereon a computer program for execution by the processor, wherein the computer program, when executed by the processor, causes the processor to perform the energy storage control method of any one of claims 1 to 7.

10. A photovoltaic system comprising a light storage and charging integrated plant and an energy storage control device according to claim 8 or 9.

11. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when executed by a processor, causes the processor to carry out the energy storage control method according to any one of claims 1 to 7.

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