CN115632426A

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

Info

Publication number: CN115632426A
Application number: CN202211393396.1A
Authority: CN
Inventors: 严册; 肖诚斌; 朱海淼; 王博; 赵彬
Original assignee: China Everbright Green Technology Innovation Research Institute Co ltd; Everbright Envirotech China Ltd
Current assignee: China Everbright Green Technology Innovation Research Institute Co ltd; Everbright Envirotech China Ltd
Priority date: 2022-11-08
Filing date: 2022-11-08
Publication date: 2023-01-20

Abstract

An energy storage control method, an energy storage control device, an energy storage control system and a storage medium are provided, wherein the method is applied to an optical storage and charging integrated power station and comprises 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 after determining that the estimated photovoltaic power generation amount is not more than the first estimated user power consumption, and executing the next step after determining that the estimated photovoltaic power generation amount is more than the first estimated user power consumption; and comparing the estimated photovoltaic power generation amount with the sum of the first estimated user power consumption and the second estimated user power consumption, sending a first energy supply instruction after determining that the estimated photovoltaic power generation amount is not more than the sum of the first estimated user power consumption and the second estimated user power consumption, and sending a second energy supply instruction after determining that the estimated photovoltaic power generation amount is not more than the sum of the first estimated user power consumption and the second estimated user power consumption. The solar photovoltaic and energy storage system carries out electric energy distribution by combining the period of peak-valley electricity price and the daily actual electricity utilization condition, and realizes the economic benefits of photovoltaic and energy storage to the maximum extent.

Description

Energy storage control method, device and system and storage medium

Technical Field

The present application relates to the field of photovoltaic technologies, and in particular, to a method, an apparatus, a system, and a storage medium for energy storage control.

Background

The distributed photovoltaic power generation can realize the spontaneous self-use of the photovoltaic power generation, reduces the loss of a power transmission and distribution link, effectively solves the loss of electric power in long-distance transmission, receives more and more attention, and a large number of industrial and commercial users and residential users start to use the distributed photovoltaic on roofs to reduce daily power consumption. Due to instability of photovoltaic power generation, when distributed photovoltaic is used for 'self-generation and self-utilization', a corresponding energy storage system is generally required to be configured to improve stability of power supply, and many regions already require that the loading amount of stored energy is required to be configured proportionally for new distributed photovoltaic.

Under the condition of peak-valley time-of-use electricity price, the light storage and charging integrated system can also more effectively utilize electric energy and improve the comprehensive utilization rate of the electric energy. However, there is no feasible method for reasonably utilizing both the photovoltaic and the stored energy to the maximum, and it is often the case that the photovoltaic power generation is not effectively allocated to the peak electricity price period, and the energy storage system cannot maximize the peak clipping and valley filling benefits when combined with the photovoltaic.

Disclosure of Invention

The present application has been made to solve at least one of the above problems. According to an aspect of the present application, there is provided an energy storage control method applied to a light storage and charging integrated power station, the method including: 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.

In one embodiment of the present application, obtaining the first electricity consumption of the predicted user in the peak electricity price period of the next day and the second electricity consumption of the predicted user in the flat electricity price period of the next day includes: 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.

In one embodiment of the present application, obtaining an estimated photovoltaic power generation amount of the next day includes: 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.

In one embodiment of the present application, the method further includes the step of adjusting the power schedule, and after determining that the estimated photovoltaic power generation amount is not greater than the first estimated user power consumption amount, the adjusting the power schedule includes: 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.

In an embodiment of the present application, the method further includes a step of adjusting the power schedule, and after determining that the estimated photovoltaic power generation amount is not greater than a sum of the first estimated user power consumption and the second estimated user power consumption, the adjusting the power schedule includes: 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.

In an embodiment of the present application, the method further includes a step of adjusting the power schedule, and after determining that the estimated photovoltaic power generation amount is greater than a sum of the first estimated user power consumption and the second estimated user power consumption, the adjusting the power schedule includes: 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.

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

According to another aspect of the present application, there is provided an energy storage control device applied to a light storage and charging integrated power station, the device including: 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.

According to yet another aspect of the present application, there is provided an energy storage control apparatus, comprising a memory and a processor, the memory having stored thereon a computer program for execution by the processor, the computer program, when executed by the processor, causing the processor to perform the energy storage control method of any one of the above.

According to another aspect of the present application, a photovoltaic system is provided, which includes a light storage and charging integrated power station and the energy storage control device described in the above.

According to yet another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, causes the processor to perform the energy storage control method of any one of the above.

According to the energy storage control method, the device, the system and the storage medium, the power consumption in the next day peak electricity price period, the power consumption in the flat price period and the photovoltaic power generation amount are predicted, so that the period of the peak-valley electricity price and the daily actual power consumption condition are combined, reasonable electric energy distribution is carried out, and the photovoltaic and energy storage economic benefits are realized to the maximum extent.

Drawings

The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts 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 an embodiment of the present invention.

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

Fig. 3 shows a schematic flow chart of adjusting power scheduling after determining that the estimated photovoltaic power generation is not greater than the first estimated consumer power usage according to an embodiment of the application.

Fig. 4 shows a schematic flow chart of adjusting power scheduling after determining that the estimated photovoltaic power generation is not greater than the sum of the first estimated consumer power usage and the second estimated consumer power usage, according to an embodiment of the 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 consumer power usage and the second estimated consumer power usage, according to an embodiment of the application.

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

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

Detailed Description

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. It should be understood that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application described in the present application without inventive step, shall fall within the scope of protection of the present application.

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

As shown in FIG. 1, electronic device 100 includes one or more processors 102, one or more memory devices 104, an input device 106, and an output device 108, which are interconnected via a bus system 110 and/or other form of connection mechanism (not shown). It should be noted that the components and structure of the electronic device 100 shown in fig. 1 are exemplary only, and not limiting, and the electronic device may have other components and structures as desired.

The processor 102 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.

The storage 104 may include one or more computer program products that 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), cache memory (cache), and/or the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, etc. On which one or more computer program instructions may be stored that may be executed by processor 102 to implement client-side functionality (implemented by the processor) and/or other desired functionality in embodiments of the invention described below. Various applications and various data, such as various data used and/or generated by the applications, 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, a touch screen, and the like. The input device 106 may be any interface for receiving information.

The output device 108 may output various information (e.g., images or sounds) to an external (e.g., user), and may include one or more of a display, a speaker, and the like. The output device 108 may be any other device having an output function.

For example, an example electronic device for implementing the energy storage control method and apparatus according to the embodiment of the invention may be implemented as a mobile phone, a computer, or 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 optical storage and charging integrated power station, and may include the following steps:

in step S210, a first estimated user power consumption in a peak electricity price period of the next day, a second estimated user power consumption in a flat electricity price period of the next day, and an estimated photovoltaic power generation amount of the next day are obtained.

In step S220, the estimated photovoltaic power generation amount is compared with the first estimated user power consumption, an energy storage instruction is sent to the optical storage and charging integrated power station after the estimated photovoltaic power generation amount is determined to be not greater than the first estimated user power consumption, and the next step is executed after the estimated photovoltaic power generation amount is determined to be greater than the first estimated user power consumption.

In step S230, the estimated photovoltaic power generation amount and the sum of the first estimated user power consumption and the second estimated user power consumption are compared, the estimated photovoltaic power generation amount is determined to be not larger than the sum of the first estimated user power consumption and the second estimated user power consumption, then the first energy supply instruction is sent to the optical storage and charging integrated power station, and the estimated photovoltaic power generation amount is determined to be larger than the first estimated user power consumption and the second estimated user power consumption and then the second energy supply instruction is sent to the optical storage and charging integrated power station.

In an embodiment of the present application, the energy storage control method 200 provides a method for distributing electric energy in combination with peak-to-valley electricity rate periods and user electricity usage. Specifically, the energy storage control method 200 predicts the power consumption in the peak electricity rate period, the power consumption in the flat rate period, and the photovoltaic power generation amount of the next day, so as to combine the peak-valley electricity rate period and the daily actual power consumption condition to perform reasonable power distribution, thereby maximally achieving the photovoltaic and energy storage economic benefits.

The photovoltaic power generation, energy storage and charging integrated power station can utilize an energy storage system to store energy at the valley price at night, and the energy storage power station and a power grid supply power to users together during the peak period, so that peak clipping and valley filling are realized, and the problems of intermittent and unstable new energy power generation and the like can be effectively solved. In this embodiment, the optical storage and charging integrated power station may be selected as a distributed optical storage and charging integrated power station.

It should be noted that peak-valley electricity rates are also called "time-of-use electricity rates", which is an electricity rate system for calculating electricity rates according to peak electricity usage and valley electricity usage, respectively. Peak power utilization generally means that power utilization units are concentrated, and power utilization is performed when power supply is in short supply, for example, in daytime, the charging standard is high; the valley power consumption generally refers to the power consumption when the power consumption unit is less and the power supply is more sufficient, such as at night, the charging standard is lower. In one day, the peak-valley period may be divided into three segments, namely, a peak electricity price period, a flat electricity price period, and a valley electricity price period, each of which may be 8 hours, or divided according to actual conditions according to different seasons and times of peak-valley load, which is not limited.

In an embodiment of the present application, obtaining the first predicted user power consumption in the peak electricity rate period of the next day and the second predicted user power consumption in the flat electricity rate period of the next day may include: acquiring historical electricity consumption data; and calculating the first estimated user power consumption in the peak electricity price period of the next day and the second 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. Specifically, historical electricity consumption data are input into a neural network model, and the historical electricity consumption data are calculated through the neural network model, so that first estimated user electricity consumption of a user in a peak electricity price period of the next day and second estimated user electricity consumption of a user in a flat electricity price period of the next day are estimated. The historical electricity consumption data refers to the electricity consumption of the user in the past period, and may include the total electricity consumption, the electricity consumption in the peak electricity price period, the electricity consumption in the flat electricity price period, the electricity consumption in the valley electricity price period, and the like. The Neural Network model may be a Recurrent Neural Network (RNN) model such as a Long short-term-memory (LSTM) model, and is not limited thereto.

In the embodiment of the application, obtaining the estimated photovoltaic power generation amount of the next 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. The historical photovoltaic power generation data refers to the power generation situation of the light storage and charging integrated power station in a past period, and can comprise total power generation, power generation in a certain period of a day, power generation in a certain weather condition and the like. The weather data of the next day can be obtained according to weather forecast software, and the weather data such as sunny days, cloudy days and the like are subjected to matching operation on the weather data of the next day and historical photovoltaic power generation amount data, so that the photovoltaic power generation amount of the next day can be estimated.

In the embodiment of the application, after the energy storage instruction is sent to the light storage and charging integrated power station, the light storage and charging integrated power station can perform pre-energy storage in the valley electricity price time period at night according to the energy storage instruction, and the electricity consumption of the user in the peak electricity price time period of the next day can be supplied by photovoltaic power generation and pre-stored electricity together. The electric quantity pre-stored in the light storage and charging integrated power station at the night valley electricity price time period can be calculated according to the following formula:

P _IL ＝(P _CP -P _PV )/η ₁

wherein, P _IL Pre-stored electricity quantity for valley electricity price period, P _CP First estimated user power consumption, P, for the next day's peak electricity rate period _PV Estimated photovoltaic power generation amount eta for the next day ₁ The round trip efficiency of the stored energy in this situation.

In the embodiment of the application, after the first energy supply instruction is sent to the light storage and charging integrated power station, in the peak electricity price stage of the next day, the light storage and charging integrated power station can transfer the photovoltaic power generation and the energy storage electric quantity to be used by the user according to the first energy supply instruction, and in the flat electricity price period of the next day, the light storage and charging integrated power station can transfer the surplus of the photovoltaic power generation to be used by the user according to the first energy supply instruction. The electricity consumption of the user in the flat price electricity price period of the day supplied by the photovoltaic power generation amount can be calculated according to the following formula:

P _PVN ＝P _PV -P _CP ×η ₂

wherein, P _PVN User power consumption, P, provided directly by photovoltaic power generation during flat rate periods _CP First estimated user power consumption, P, for the next day's peak electricity rate period _PV Estimated photovoltaic power generation amount eta for the next day ₂ The round trip efficiency of the stored energy in this situation.

In the embodiment of the application, after the second energy supply instruction is sent to the light storage and charging integrated power station, in the peak electricity price stage of the next day, the light storage and charging integrated power station can transfer the photovoltaic power generation to be used by the user according to the second energy supply instruction, and in the flat price electricity price period of the next day, the light storage and charging integrated power station can also transfer the photovoltaic power generation to be used by the user according to the second energy supply instruction. For the surplus electric quantity of photovoltaic power generation in the next day, the light storage and charging integrated power station can be used for selling the surplus electric quantity in a grid-connected mode according to the second energy supply instruction. The surplus electric quantity sold in the grid-connected mode can be calculated according to the following formula:

Ps＝P _PV -(P _CP +P _pv )×η ₃

wherein, P _S Surplus electricity for sale on grid, P _CP First estimated user power consumption, P, for the next day's peak electricity rate period _PV Estimated photovoltaic power generation amount eta for the next day ₃ The round trip efficiency of the stored energy in this situation.

In the above, by taking one day as a cycle, the photovoltaic power generation amount and the user power consumption amount of the next day are predicted, and the power scheduling is performed in advance according to the predicted photovoltaic power generation amount and the user power consumption amount of the next day, so that the photovoltaic power generation amount can be ensured to be supplied to the user power consumption amount in the peak electricity price period, and when the user power consumption amount in the peak electricity price period is larger than the photovoltaic power generation amount, the energy storage can be performed in the valley electricity price period one day in advance, and the peak clipping and valley filling benefits of the energy storage can be maximized.

It should be noted that, because a difference exists between the actual photovoltaic power generation situation and the actual power utilization situation of the user and the estimated data, the adjustment can be performed according to the actual situation in the power station scheduling process. Particularly, can adjust the electric power distribution through the condition of real-time supervision photovoltaic power generation and user's power consumption, when photovoltaic generated energy and user's power consumption and anticipated when having the gap, can in time adjust to guarantee still can guarantee the economic benefits maximize when in actual use. The adjustment of the power schedule according to the actual situation will be described below.

In an embodiment of the application, as shown in fig. 3, after determining that the estimated photovoltaic power generation amount is not greater than the first estimated user power consumption amount, adjusting the power schedule includes: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a third energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending a fourth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value. When the actual photovoltaic power generation amount and the actual power consumption of the user are obtained, the unit of the actual photovoltaic power generation amount and the unit of the actual power consumption of the user can be used, correspondingly, the estimated photovoltaic power generation amount should also be used, or data acquisition can be carried out according to other units, and the method is not limited. When the first difference is not larger than the second difference, the fact that the actual photovoltaic power generation amount cannot meet the user power consumption in the peak electricity price period is shown, and the photovoltaic power generation amount and the pre-stored electricity amount can be completely used by the light storage and charging integrated power station for the user power consumption in the peak electricity price period according to the third energy supply instruction; when the first difference is larger than the second difference, the light storage and charging integrated power station can preferentially ensure that the photovoltaic power generation amount and the pre-stored power amount are used for the user power consumption in the peak electricity price period according to the fourth energy supply instruction, the surplus of the photovoltaic power generation is supplied in the flat electricity price period, and if the surplus is still left, the power can be sold in a grid-connected mode.

In an embodiment of the application, as shown in fig. 4, after determining that the estimated photovoltaic power generation amount is not greater than the sum of the first estimated user power consumption and the second estimated user power consumption, adjusting the power scheduling includes: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a fifth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending a sixth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value. When the actual photovoltaic power generation amount and the actual power consumption of the user are obtained, the unit of the actual photovoltaic power generation amount and the unit of the actual power consumption of the user can be used, correspondingly, the estimated photovoltaic power generation amount should also be used, or data acquisition can be carried out according to other units, and the method is not limited. When the first difference value is not larger than the second difference value, the light storage and charging integrated power station can preferentially ensure that the photovoltaic power generation amount and the pre-stored power amount are used for the power consumption of the user in the peak electricity price period according to a fifth energy supply instruction, and the allowance of the photovoltaic power generation is used for supplying power in the flat electricity price period; when the first difference is larger than the second difference, the light storage and charging integrated power station can improve the power supply amount of the photovoltaic power generation to the user in the flat price electricity price time period according to the sixth energy supply instruction, and if the photovoltaic power generation amount is still remained, the photovoltaic power generation amount can be sold in a grid-connected mode.

In an embodiment of the present application, as shown in fig. 5, after determining that the estimated photovoltaic power generation amount is greater than a sum of the first estimated user power consumption and the second estimated user power consumption, adjusting the power scheduling includes: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a seventh energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending an eighth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value. When the actual photovoltaic power generation amount and the actual power consumption of the user are obtained, the unit of the actual photovoltaic power generation amount and the unit of the actual power consumption of the user can be used, correspondingly, the estimated photovoltaic power generation amount should also be used, or data acquisition can be carried out according to other units, and the method is not limited. When the first difference value is not larger than the second difference value, the light storage and charging integrated power station can preferentially ensure that the photovoltaic power generation amount and the pre-stored power amount are used for the user power consumption in the peak electricity price period according to the seventh energy supply instruction, the surplus of the photovoltaic power generation is used for supplying power in the flat electricity price period, and if the photovoltaic power generation amount is still surplus, the power can be sold in a grid-connected mode; when the first difference is larger than the second difference, the light storage and charging integrated power station can improve the power supply amount of the photovoltaic power generation for the user in the flat price electricity price time period according to the eighth energy supply instruction, and if the photovoltaic power generation amount still remains, the photovoltaic power generation amount can be sold in a grid-connected mode.

Based on the above description, the energy storage control method according to the embodiment of the application predicts the power consumption in the peak electricity price period of the next day, the power consumption in the flat price period and the photovoltaic power generation amount, so that the period of the peak-valley electricity price and the daily actual power consumption condition are combined to perform reasonable power distribution, and the economic benefits of photovoltaic and energy storage are realized to the maximum extent.

The energy storage control method according to the embodiment of the application is exemplarily described above. 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, applied to a light storage and charging integrated power station, may include an estimation module 610, a first comparison module 620, and a second comparison module 630. The estimation module 610 is used for acquiring a first estimation user power consumption in a peak electricity price period of the next day, a second estimation user power consumption in a flat electricity price period of the next day and an estimation photovoltaic power generation amount of the next day; the first comparison module 620 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 630 is used for estimating the photovoltaic power generation amount and the first estimated user power consumption with the second estimates the user power consumption and compares, and is confirming it is not more than to estimate the photovoltaic power generation amount the first estimated user power consumption with the second estimates the user power consumption with the back the light stores up and fills integration power station and sends first energy supply instruction, is confirming it is greater than to estimate the photovoltaic power generation amount the first estimated user power consumption with the second estimates the user power consumption with the back the light stores up and fills integration power station and sends the second energy supply instruction.

The estimation module 610, the first comparison module 620 and the second comparison module 630 may be implemented by the processor 102 in the electronic device 100 shown in fig. 1 executing program instructions stored in the memory 104, and may perform corresponding steps in the energy storage control method according to the embodiment of the present invention. Only the main functions of the respective modules of the energy storage control device 600 will be described below, and details that have been described above will be omitted.

It should be noted that peak-valley electricity rates are also called "time-of-use electricity rates", which is an electricity rate system for calculating electricity rates according to peak electricity usage and valley electricity usage. Peak power utilization generally means that power utilization units are concentrated, and power utilization is performed when power supply is in short supply, for example, in daytime, the charging standard is high; the valley power consumption generally refers to the power consumption when the power consumption unit is less and the power supply is more sufficient, such as at night, the charging standard is lower. In one day, the peak-valley period may be divided into three segments, namely, a peak electricity price period, a flat electricity price period, and a valley electricity price period, each of which may be 8 hours, or divided according to actual conditions according to different seasons and times of peak-valley load, which is not limited.

In an embodiment of the present application, obtaining the first electricity consumption of the predicted user in the peak electricity price period of the next day and the second electricity consumption of the predicted user in the flat electricity price period of the next day may include: 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. Specifically, historical electricity consumption data are input into a neural network model, and the historical electricity consumption data are calculated through the neural network model, so that first estimated user electricity consumption of a user in a peak electricity price period of the next day and second estimated user electricity consumption of a user in a flat electricity price period of the next day are estimated. The historical electricity consumption data refers to the electricity consumption of the user in the past period, and may include the total electricity consumption, the electricity consumption in the peak electricity price period, the electricity consumption in the flat electricity price period, the electricity consumption in the valley electricity price period, and the like. The Neural Network model may be a Recurrent Neural Network (RNN) model such as a Long short-term-memory (LSTM) model, and is not limited thereto.

In an embodiment of the application, obtaining estimated photovoltaic power generation amount of the next day includes: 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. The historical photovoltaic power generation data refers to the power generation situation of the light storage and charging integrated power station in a past period, and can comprise total power generation, power generation in a certain period of a day, power generation in a certain weather condition and the like. The weather data of the next day can be obtained according to weather forecast software, and the weather data such as sunny days, cloudy days and the like are subjected to matching operation on the weather data of the next day and historical photovoltaic power generation amount data, so that the photovoltaic power generation amount of the next day can be estimated.

In the embodiment of the application, after the energy storage instruction is sent to the optical storage and charging integrated power station, the optical storage and charging integrated power station can pre-store energy in the valley electricity price time period at night according to the energy storage instruction, and the electricity consumption of the user in the peak electricity price time period of the next day can be supplied by photovoltaic power generation and the pre-stored electricity together. Wherein, the electric quantity that light storage charges integration power station carries out the prestore at the valley power price period of night can calculate according to following formula:

P _IL ＝(P _CP -P _PV )/η ₁

P _PVN ＝P _PV -P _CP ×η ₂

In the embodiment of the application, after the second energy supply instruction is sent to the light storage and charging integrated power station, in the peak electricity price stage of the next day, the light storage and charging integrated power station can transfer the photovoltaic power generation to be used by the user according to the second energy supply instruction, and in the flat price electricity price period of the next day, the light storage and charging integrated power station can also transfer the photovoltaic power generation to be used by the user according to the second energy supply instruction. For the surplus electric quantity of photovoltaic power generation in the next day, the light storage and charging integrated power station can be used for carrying out grid-connected selling on the part of the surplus electric quantity according to the second energy supply instruction. The surplus electric quantity sold in the grid-connected mode can be calculated according to the following formula:

Ps＝P _PV -(P _CP +P _pv )×η ₃

It should be noted that, because a difference exists between the actual photovoltaic power generation situation and the actual power utilization situation of the user and the estimated data, the adjustment can be performed according to the actual situation in the power station scheduling process. Particularly, the power distribution can be adjusted by monitoring the conditions of photovoltaic power generation and user power consumption in real time, and when the difference exists between the photovoltaic power generation amount and the user power consumption and the expectation, the adjustment can be carried out in time, so that the economic benefit maximization can be ensured when the photovoltaic power generation and user power consumption are actually used. The following describes adjustment of power scheduling according to actual conditions.

In an embodiment of the application, as shown in fig. 3, after determining that the estimated photovoltaic power generation amount is not greater than the first estimated user power consumption amount, adjusting the power schedule includes: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a third energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending a fourth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value. When the actual photovoltaic power generation amount and the actual power consumption of the user are obtained, the unit of the actual photovoltaic power generation amount and the unit of the actual power consumption of the user can be hour, correspondingly, the estimated photovoltaic power generation amount should also be hour, or data acquisition can be performed according to other units, and the method is not limited. When the first difference is not larger than the second difference, the fact that the actual photovoltaic power generation amount cannot meet the user power consumption in the peak electricity price period is shown, and the photovoltaic power generation amount and the pre-stored electricity amount can be completely used by the light storage and charging integrated power station for the user power consumption in the peak electricity price period according to the third energy supply instruction; when the first difference is larger than the second difference, the light storage and charging integrated power station can preferentially ensure that the photovoltaic power generation amount and the pre-stored power amount are used for the user power consumption in the peak electricity price period according to the fourth energy supply instruction, the allowance of the photovoltaic power generation is used for supplying power in the flat electricity price period, and if the allowance is still left, the power station can be connected to the grid for sale.

According to another aspect of the application, another energy storage control device is also 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 apparatus 700 according to the embodiment of the present application is applied to an optical storage and charging integrated power station, and may include a memory 710 and a processor 720, where the memory 710 stores a computer program executed by the processor 720, and the computer program, when executed by the processor 720, causes the processor 720 to execute the energy storage control method according to the embodiment of the present application. Those skilled in the art can understand specific operations of the energy storage control device according to the embodiment of the present application in combination with the foregoing descriptions, and for the sake of brevity, specific details are not described herein, and only some main operations of the processor 720 are described.

In one embodiment of the application, the computer program, when executed by the processor 720, causes the processor 720 to perform the steps of: 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 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; and comparing the estimated photovoltaic power generation amount with the sum of the first estimated user power consumption and the second estimated user power consumption, sending a first energy supply instruction to the optical storage and charging integrated power station after determining that the estimated photovoltaic power generation amount is not more than the sum of the first estimated user power consumption and the second estimated user power consumption, and sending a second energy supply instruction to the optical storage and charging integrated power station after determining that the estimated photovoltaic power generation amount is more than the sum of the first estimated user power consumption and the second estimated user power consumption.

In one embodiment of the present application, obtaining the first electricity consumption of the predicted user in the peak electricity price period of the next day and the second electricity consumption of the predicted user in the flat electricity price period of the next day includes: acquiring historical electricity consumption data; and calculating the first estimated user power consumption in the peak electricity price period of the next day and the second 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.

In one embodiment of the application, obtaining the estimated photovoltaic power generation amount of the next 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.

In one embodiment of the application, the computer program, when executed by the processor 720, causes the processor 720 to further perform the step of adjusting the power schedule, the adjusting the power schedule after determining that the estimated photovoltaic power generation amount is not greater than the first estimated user power consumption amount comprising: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a third energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending a fourth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value.

In one embodiment of the application, the computer program, when executed by the processor 720, causes the processor 720 to further perform the step of adjusting the power schedule, the adjusting the power schedule after determining that the estimated photovoltaic power generation amount is not greater than a sum of the first estimated user power consumption and the second estimated user power consumption comprising: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a fifth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending a sixth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value.

In an embodiment of the application, the computer program, when executed by the processor 720, causes the processor 720 to further perform the step of adjusting the power schedule, the adjusting the power schedule after determining that the estimated photovoltaic power generation amount is greater than the sum of the first estimated user power consumption and the second estimated user power consumption comprising: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a seventh energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending an eighth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value.

Based on the above description, the energy storage control device according to the embodiment of the application predicts the power consumption in the peak electricity price period of the next day, the power consumption in the flat price period and the photovoltaic power generation amount, so that the period of the peak-valley electricity price and the daily actual power consumption condition are combined to perform reasonable power distribution, and the economic benefits of photovoltaic and energy storage are realized to the maximum extent.

Furthermore, according to an embodiment of the present application, there is also provided a storage medium on which a computer program is stored, which is used to execute corresponding steps of the energy storage control method of the embodiment of the present application when the computer program is executed by a computer or a processor. The storage medium may include, for example, a memory card of a smart phone, a storage component 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 disc read only memory (CD-ROM), a USB memory, or any combination of the above storage media. The computer-readable storage medium may be any combination of one or more computer-readable storage media.

In an embodiment of the present application, the computer program may implement the functional modules of the energy storage control apparatus according to the embodiment of the present invention when being executed by a computer or a processor, and/or may perform the energy storage control method according to the embodiment of the present invention.

In one embodiment of the application, the computer program, when executed by the computer or processor, causes the computer or processor to perform the steps of: 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 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; and comparing the estimated photovoltaic power generation amount with the sum of the first estimated user power consumption and the second estimated user power consumption, sending a first energy supply instruction to the light storage and charging integrated power station after determining that the estimated photovoltaic power generation amount is not more than the sum of the first estimated user power consumption and the second estimated user power consumption, and sending a second energy supply instruction to the light storage and charging integrated power station after determining that the estimated photovoltaic power generation amount is more than the sum of the first estimated user power consumption and the second estimated user power consumption.

In one embodiment of the present application, obtaining a first predicted user power consumption in a peak electricity rate period of a next day and a second predicted user power consumption in a flat electricity rate period of the next day includes: acquiring historical electricity consumption data; and calculating the first estimated user power consumption in the peak electricity price period of the next day and the second 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.

In one embodiment of the application, the computer program, when executed by the computer or processor, causes the computer or processor to further perform the step of adjusting the power schedule, the adjusting the power schedule after determining that the estimated photovoltaic power generation is not greater than the first estimated consumer power usage comprising: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value of the actual photovoltaic power generation amount and the actual user power consumption with a second difference value of the estimated photovoltaic power generation amount and the actual user power consumption, sending a third energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is not more than the second difference value, and sending a fourth energy supply instruction to the optical storage and charging integrated power station after determining that the first difference value is more than the second difference value.

In one embodiment of the application, the computer program, when executed by the computer or processor, causes the computer or processor to further perform the step of adjusting the power schedule, the adjusting the power schedule after determining that the estimated photovoltaic power generation is not greater than a sum of the first estimated consumer power usage and the second estimated consumer power usage comprising: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value between the actual photovoltaic power generation amount and the actual user power consumption with a second difference value between the estimated photovoltaic power generation amount and the actual user power consumption, sending a fifth energy supply instruction to the light storage and charging integrated power station after determining that the first difference value is not greater than the second difference value, and sending a sixth energy supply instruction to the light storage and charging integrated power station after determining that the first difference value is greater than the second difference value.

In one embodiment of the application, the computer program, when executed by the computer or processor, causes the computer or processor to further perform the step of adjusting the power schedule, the adjusting the power schedule after determining that the estimated photovoltaic power generation is greater than a sum of the first estimated consumer power usage and the second estimated consumer power usage comprising: acquiring actual photovoltaic power generation capacity and actual user power consumption; and comparing a first difference value between the actual photovoltaic power generation amount and the actual user power consumption with a second difference value between the estimated photovoltaic power generation amount and the actual user power consumption, sending a seventh energy supply instruction to the light storage and charging integrated power station after determining that the first difference value is not greater than the second difference value, and sending an eighth energy supply instruction to the light storage and charging integrated power station after determining that the first difference value is greater than the second difference value.

Furthermore, a computer program is provided, which may be stored on a storage medium in the cloud or locally. When being executed by a computer or a processor, the computer program is used for executing the corresponding steps of the energy storage control method according to the embodiment of the invention and for realizing the corresponding modules in the energy storage control device according to the embodiment of the invention.

In addition, a photovoltaic system is also provided, and the photovoltaic system comprises a light storage and charging integrated power station and an energy storage control device. The energy storage control device may be implemented as the energy

storage control devices

600 and 700 in the foregoing, and reference may be made to the above description, which is not described herein again. The light storage and charging integrated power station may be a distributed light storage and charging integrated power station or another type of light storage and charging integrated power station, which is not limited in this respect.

Based on the above description, according to the energy storage control method, device, system and storage medium of the embodiments of the present application, the power consumption in the peak electricity price period of the next day, the power consumption in the flat price period and the photovoltaic power generation amount are predicted, so that the period of the peak-valley electricity price and the daily actual power consumption condition are combined to perform reasonable power distribution, and the economic benefits of photovoltaic and energy storage are realized to the maximum.

Although the example embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the above-described example embodiments are merely illustrative and are not intended to limit the scope of the present application thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present application. All such changes and modifications are intended to be included within the scope of the present application as claimed in the appended claims.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.

In the description provided herein, numerous specific details are set forth. However, it is understood that 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 an understanding of this description.

Similarly, it should be appreciated that in the description of exemplary embodiments of the present application, various features of the present application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present application should not be construed to reflect the intent: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the 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 understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Moreover, those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments, not other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules according to embodiments of the present application. The present application may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs 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 website, 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 may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

The above description is only for the specific embodiments of the present application or the description thereof, and the protection scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope disclosed in the present application, and shall be covered by the protection scope of the present application. The protection scope of the present application shall be subject to the protection scope of the claims.

Claims

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;

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:

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:

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.