CN111008909A - Anti-reflux protection method, device, equipment and storage medium of energy storage system - Google Patents
Anti-reflux protection method, device, equipment and storage medium of energy storage system Download PDFInfo
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Abstract
The embodiment of the application discloses an anti-reflux protection method, an anti-reflux protection device and an anti-reflux protection storage medium of an energy storage system, and belongs to the technical field of energy storage, wherein the method comprises the following steps: acquiring the predicted load power of the electricity utilization side; acquiring real-time discharge power of an energy storage converter PCS of an energy storage system; and if the predicted load power is smaller than the real-time discharge power, sending a first control instruction to the PCS. In the technical scheme provided by the embodiment of the application, the predicted load power of the power utilization side is compared with the real-time discharge power of the PCS, and when the predicted load power is smaller than the real-time discharge power, the real-time discharge power of the PCS is controlled to be reduced to be smaller than or equal to the predicted load power, so that the problem of low anti-backflow protection efficiency in the related technology is solved, the anti-backflow protection efficiency is improved, corresponding measures are effectively taken before backflow occurs, and the backflow problem is avoided as much as possible.
Description
Technical Field
The embodiment of the application relates to the technical field of energy storage, in particular to an anti-reflux protection method, an anti-reflux protection device, anti-reflux protection equipment and an anti-reflux protection storage medium for an energy storage system.
Background
With the development of scientific and technical and social levels, the power supply requirements of users are gradually increased, and further, the charge and discharge power set by the energy storage system is increased.
At present, after the energy storage System sets the charge and discharge Power, the load Power of the user side is monitored in real time through the anti-backflow protection device, and if the load Power of the current user side is smaller than the discharge Power of the energy storage System, the anti-backflow protection device of the energy storage System sends a control instruction to a Power Conversion System (PCS) to control the energy storage System to reduce the discharge Power. After receiving the control command, the PCS reduces the discharge power to the user side.
However, when the power of the current load electric quantity of the user is smaller than the charging and discharging power set by the energy storage system, the backflow already occurs, and further, the energy management system sends the control command to the energy storage system remotely with a time delay, which causes the energy storage system to generate more backflow during the time when responding to the control command.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for anti-backflow protection of an energy storage system, which can be used for solving the problem that the energy storage system in the related art generates more backflow when responding to a control instruction. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a method for preventing backflow of an energy storage system, where the method includes:
acquiring predicted load power of a power utilization side, wherein the predicted load power refers to the predicted average load power of the power utilization side in a target time period;
acquiring real-time discharge power of a PCS of an energy storage system;
if the predicted load power is smaller than the real-time discharge power, sending a first control instruction to the PCS, wherein the first control instruction is used for indicating the PCS to reduce the real-time discharge power to a first target power, and the first target power is smaller than or equal to the predicted load power.
In another aspect, an embodiment of the present application provides an anti-backflow protection device for an energy storage system, where the device includes:
the device comprises a prediction power acquisition module, a prediction power acquisition module and a power utilization module, wherein the prediction power acquisition module is used for acquiring the prediction load power of a power utilization side, and the prediction load power refers to the average load power of the power utilization side in a target time period;
the real-time power acquisition module is used for acquiring the real-time discharge power of the PCS of the energy storage system;
and the instruction sending module is used for sending a first control instruction to the PCS if the predicted load power is smaller than the real-time discharging power, wherein the first control instruction is used for indicating the PCS to reduce the real-time discharging power to a first target power, and the first target power is smaller than or equal to the predicted load power.
In yet another aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a memory, where the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the above method.
In yet another aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement the above method.
In a further aspect, the present application provides a computer program product, which when run on a computer device, causes the computer device to execute the above method.
The technical scheme provided by the embodiment of the application can bring the following beneficial effects:
by comparing the predicted load power of the power utilization side with the real-time discharge power of the PCS, when the predicted load power is smaller than the real-time discharge power, the real-time discharge power of the PCS is controlled to be reduced to be less than or equal to the predicted load power, the problem that the anti-backflow protection efficiency is low in the related technology is solved, the anti-backflow protection efficiency is improved, corresponding measures are effectively taken before backflow occurs, and the backflow problem is avoided as much as possible.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic illustration of an implementation environment provided by one embodiment of the present application;
FIG. 2 is a flow chart of a method for anti-backflow protection of an energy storage system according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a method for anti-backflow protection of an energy storage system according to another embodiment of the present disclosure;
FIG. 4 illustrates a schematic diagram of a method of anti-reflux protection of an energy storage system;
FIG. 5 is a block diagram of an anti-backflow protection device of an energy storage system provided by an embodiment of the present application;
FIG. 6 is a block diagram of an anti-reflux protection device for an energy storage system according to another embodiment of the present disclosure;
fig. 7 is a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of an implementation environment provided by an embodiment of the present application is shown. The implementation environment may include: energy storage system 10 and server 20.
The energy storage system 10 is used for storage and output of electrical quantities. Energy storage system 10 may include: PCS, BMS (battery management System), secondary battery, and anti-backflow protection device. The PCS is used for controlling the charging and discharging processes of the storage battery; the BMS is used for improving the utilization rate of the storage battery and preventing the storage battery from being overcharged and overdischarged; the storage battery is used for storing electric quantity; the anti-reverse-flow protection device is used for controlling the discharge power of the PCS and preventing the reverse-flow problem. Alternatively, the backflow prevention protection device is a Computer device, which refers to an electronic device with computing and storage capabilities, such as a PC (Personal Computer) or a server.
The server 20 is used to control the discharge power of the energy storage system 10. Alternatively, the server 20 may be one server, a server cluster composed of a plurality of servers, or a cloud computing service center. In the embodiment of the present application, an AI (Artificial Intelligence) model for predicting the average load power of the electricity consumer side in the target period is provided in the server 20. Alternatively, the energy storage system 10 and the server 20 communicate with each other through a network, which may be a wired network or a wireless network.
Referring to fig. 2, a flowchart of a method for preventing backflow of an energy storage system according to an embodiment of the present application is shown. The method can be applied to the energy storage system 10 in the implementation environment shown in fig. 1, for example, the execution subject of each step may be an anti-backflow protection device in the energy storage system 10. The method comprises the following steps (201-203):
The power utilization side refers to a party using power consumption, and optionally, the power utilization side may be a residential area, an industrial area, a public place, or the like, which is not limited in this application. Optionally, a charge meter is arranged on the electricity utilization side to record the electricity utilization condition of the user in different time periods. The predicted load power refers to the average load power of the predicted power utilization side in the target time period. Optionally, the target time period is set by the energy storage system or the server.
Optionally, the duration of the target period may be changed according to actual situations, and may be 10ms, 5min, or 30min, and the like, which is not limited in this embodiment of the application. Optionally, the energy storage system sets the duration of the target period differently for different time periods and/or different regions. For example, in a residential area, in the period from 8:00 am to 18:00 pm, the load power change on the electricity utilization side is small due to the outgoing work of the residents, the time duration of the target time period set by the energy storage system is long, such as 5min, 15min or 25min, and the like, while in the period from 18:00 pm to 23:00 pm, the time duration of the target time period set by the energy storage system is short, such as 2ms, 5ms or 10ms, and the like, because part of the residents finish the work and return home, the load power change on the electricity utilization side is large. For another example, in the industrial area, in the period from 8:00 am to 18:00 pm, the load power of the electricity utilization side changes greatly due to the outgoing work of the residents, the time length of the target time period set by the energy storage system is short, such as 2ms, 5ms or 10ms, and the like, and in the period from 18:00 pm to 23:00 pm, the time length of the target time period set by the energy storage system is long, such as 5min, 15min or 25min, and the load power of the electricity utilization side changes little due to the fact that part of the residents finish working home.
It should be noted that the above setting method of the target time interval is only an exemplary case, and there are many possibilities due to the influence of external factors such as weather, temperature, and people stream fluctuation in the actual situation.
In one possible embodiment, the predicted load power is predicted by the energy storage system. Optionally, the step 201 includes the following sub-steps:
1. and acquiring the predicted load electric quantity of the electricity-taking side.
The predicted load capacity refers to the predicted load capacity of the electricity utilization side in the target time period. Optionally, the anti-backflow protection device obtains historical load information through the load ammeter, where the historical load information includes at least one of the following items: historical load electricity quantity and historical load power; furthermore, the anti-reflux protection device calls an AI model and calculates the predicted load electric quantity according to the historical load information.
Optionally, the predicted load capacity is obtained by the server through an AI model according to the historical load capacity and the target time period. The method for obtaining the historical load power and the predicted load power will be described in detail below, and will not be described herein again.
2. And determining the predicted load power according to the predicted load electric quantity and the duration of the target time interval.
Optionally, after the anti-backflow protection device of the energy storage system receives the predicted load electric quantity, the predicted load power is determined according to the predicted load electric quantity and the duration of the target time period. For example, assuming that the predicted load capacity is a and the duration of the target time period is b, the predicted load power c is:
c＝a/b；
it should be noted that the input parameters of the AI model may further include, but are not limited to, at least one of the following: the target time period, the weather condition and the temperature condition corresponding to the target time period and the used high-power equipment.
In another possible implementation, the predicted load electric quantity corresponding to the predicted load power is predicted by the server. Optionally, the step 201 includes the following sub-steps:
1. and acquiring the predicted load electric quantity of the electricity-taking side.
Optionally, the anti-backflow protection device obtains historical load information through the load ammeter, where the historical load information includes at least one of the following items: historical load electricity quantity and historical load power; further, the anti-reflux protection device sends the historical load information to a server; and then, the server acquires the predicted load electric quantity through an AI model according to the historical load information.
2. And sending an acquisition request to the server.
The power acquisition request is used for requesting the server to acquire the predicted load power. Optionally, the energy storage system sends the acquisition request to the server before the target time period.
3. And receiving the predicted load electric quantity sent by the server.
Optionally, after receiving the acquisition request, the server sends the predicted load electric quantity corresponding to the target time period to an anti-reflux protection device of the energy storage system; further, after receiving the predicted load electric quantity, the anti-backflow protection device calculates and obtains the corresponding predicted load power according to the target time interval.
It should be noted that, for the AI model, the more input parameters, the more accurate the obtained predicted load power, and therefore, the energy storage system sends the historical load information to the server and sends other related information of the target time period to the server at the same time. Of course, in another possible implementation, the server automatically acquires the relevant information of the target time period after acquiring the target time period. The related information includes, but is not limited to, at least one of the following: the weather condition, the temperature condition and the used high-power equipment corresponding to the target time period.
Of course, in another possible embodiment, when the load electric quantity corresponding to the predicted load power is acquired by the server, the backflow prevention protection device does not send an acquisition request to the server. Optionally, before the target time period, after obtaining the predicted load electric quantity through the AI model, the server directly sends the predicted load electric quantity to an anti-reflux protection device of the energy storage system; further, the anti-reflux protection device obtains the predicted load power according to the predicted load electric quantity and the target time interval. It should be noted that the server sending time is set by the server according to an actual situation, and may be 1min, 3min, or 5min before the target time period, which is not limited in the embodiment of the present application.
The real-time discharge power refers to the output power currently and actually provided by the PCS to the power utilization side. Optionally, the real-time discharge power is obtained from the PCS by an anti-reflux protection device of the energy storage system. In this embodiment, after obtaining the predicted load power and the real-time discharge power, the anti-backflow protection device compares the magnitude relationship between the predicted load power and the real-time discharge power.
In step 203, if the predicted load power is smaller than the real-time discharge power, a first control instruction is sent to the PCS.
The first control instruction is used for instructing the PCS to reduce the real-time discharge power to a first target power, wherein the first target power is smaller than or equal to the predicted load power. Optionally, the first control instruction includes the first target power and the target time period.
In a possible embodiment, after comparing the predicted load power and the real-time discharge power, if the predicted load power is smaller than the real-time discharge power, that is, it is predicted that there may be a backflow problem in the target time period, the backflow prevention protection device sends a first control instruction to the PCS to control the discharge power of the PCS in the target time period to be smaller than or equal to the predicted load power in order to avoid the backflow problem. The PCS reduces the discharging power in the target period to be less than or equal to the predicted load power after receiving the first control instruction.
In another possible embodiment, after comparing the predicted load power and the real-time discharge power, if the predicted load power is greater than the real-time discharge power, that is, it is predicted that there is no backflow problem in the target time period, the backflow prevention protection device of the energy storage system sends a second control instruction to the PCS, where the second control instruction is used to instruct the PCS to keep the real-time discharge power unchanged. And the PCS keeps the discharge power in the target period unchanged after receiving the second control instruction.
In another possible implementation, after comparing the predicted load power and the real-time discharge power, if the predicted load power is equal to the real-time discharge power, the anti-backflow protection device of the energy storage system may send a second control instruction to the PCS to control the PCS to keep the real-time discharge power unchanged; alternatively, the backflow prevention protection device may send a fourth control instruction to the PCS, where the fourth control instruction is used to instruct the PCS to reduce the real-time discharge power to a third target power, where the third target power is smaller than the predicted load power. And after receiving the second control instruction, the PCS reduces the discharge power in the target period to be smaller than the predicted load power. Alternatively, the PCS keeps the discharge power within the target period unchanged after receiving the fourth control instruction.
In summary, in the technical scheme provided in the embodiment of the present application, by comparing the predicted load power at the electricity-taking side with the real-time discharge power, the problem of low reverse-flow protection efficiency in the related art is solved, the reverse-flow protection efficiency is improved, the load power is predicted in advance, if the predicted load power is smaller than the real-time discharge power, the actual power of the PCS is controlled to be reduced to be less than or equal to the predicted load power, corresponding measures are effectively taken before the reverse flow occurs, and the occurrence of the reverse flow problem is avoided.
In addition, the prediction electric quantity is obtained through the AI model, the accuracy of prediction data is guaranteed, the calculation overhead of the energy storage system and the server is reduced, and the problem of countercurrent when the energy storage system discharges is effectively avoided.
In an exemplary embodiment, as shown in fig. 3, the method provided in the embodiment of the present application may further include the following steps:
In the PCS discharging process of the energy storage system, the anti-backflow protection device can also obtain the real-time load power of the electricity utilization side. The real-time load power refers to the load power actually used at present on the electricity-consuming side. Optionally, the PCS of the energy storage system obtains the real-time load power through the load ammeter, and sends the real-time load power to the anti-backflow protection device of the energy storage system.
And the third control instruction is used for controlling the PCS to reduce the real-time discharge power to a second target power, wherein the second target power is smaller than or equal to the real-time load power. Optionally, the third control instruction includes the second target power.
In a possible embodiment, after obtaining the real-time load power and the real-time discharge power, the anti-backflow protection device of the energy storage system compares the real-time load power with the real-time discharge power, and if the real-time load power is smaller than the real-time discharge power, that is, if there is a backflow problem currently, the anti-backflow protection device sends a third control instruction to the PCS. And after receiving the third control instruction, the PCS reduces the opportunity discharge power to be less than or equal to the real-time load power.
In another possible embodiment, after obtaining the real-time load power and the real-time discharge power, the anti-backflow protection device of the energy storage system compares the real-time load power with the real-time discharge power, and if the real-time load power is greater than or equal to the real-time discharge power, that is, there is no backflow problem currently, the anti-backflow protection device does not need to send the third control instruction to the PCS.
In summary, in the technical solution provided in the example of the present application, the real-time load power is obtained and compared with the real-time discharge power, and the real-time discharge power is adjusted when the real-time load power is smaller than the real-time discharge power, so as to avoid the occurrence of a reverse flow caused by a sudden decrease of the real-time load power measured by electricity.
In addition, the technical solution provided by the present application is described with reference to fig. 4. The anti-reflux protection device of the energy storage system acquires real-time load data from a load ammeter and sends the real-time load data to the server, and further the server combines the real-time load data with historical load information and predicts through an AI (artificial intelligence) model to obtain predicted load data, wherein the predicted load data can be predicted load power or predicted load electric quantity. And then, the server sends the predicted load data to an anti-reflux protection device of the energy storage system, and further, the anti-reflux protection device obtains predicted load power according to the predicted load data and compares the predicted load electric quantity with the real-time discharge power of the PCS. If the predicted load electric quantity is smaller than the real-time discharge power, sending an instruction to the PCS, and controlling the PCS to reduce the real-time discharge power to be smaller than or equal to the predicted load power; and if the predicted load electric quantity is larger than the real-time discharge power, sending an instruction to the PCS, and controlling the PCS to keep the current real-time discharge power unchanged. It should be noted that the predicted load power is an average load power in the predicted target period. Wherein the target period is a period of time after the real-time load data is transmitted.
In addition, the anti-reverse-flow protection device of the energy storage system also detects real-time load power and real-time discharge power in real time and compares the real-time load power with the real-time discharge power. If the real-time load power is smaller than the real-time discharge power, an instruction is sent to the PCS, and the PCS is controlled to reduce the current real-time discharge power to be smaller than or equal to the real-time load power so as to eliminate the backflow phenomenon. Of course, the load power may be obtained by the PCS of the energy storage system through the load ammeter and then sent to the anti-backflow protection device, and further, the anti-backflow protection device compares the real-time load power with the real-time discharge power.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 5, a block diagram of an anti-backflow protection device of an energy storage system according to an embodiment of the present application is shown. The device has the functions of realizing the method examples, and the functions can be realized by hardware or by hardware executing corresponding software. The device can be a computer device and can also be arranged in the computer device. The apparatus 500 may comprise: a predicted power fetch module 510, a real-time power fetch module 520, and an instruction send module 530.
The predicted power obtaining module 510 is configured to obtain a predicted load power of the electricity-consuming side, where the predicted load power is an average load power of the electricity-consuming side in a target time period.
And a real-time power obtaining module 520, configured to obtain real-time discharge power of the energy storage converter PCS of the energy storage system.
An instruction sending module 530, configured to send a first control instruction to the PCS if the predicted load power is less than the real-time discharging power, where the first control instruction is used to instruct the PCS to reduce the real-time discharging power to a first target power, and the first target power is less than or equal to the predicted load power.
In an exemplary embodiment, the control instruction includes the first target power and the target period.
In an exemplary embodiment, the instruction sending module 530 is further configured to send a second control instruction to the PCS if the predicted load power is greater than the real-time discharging power, where the second control instruction is used to instruct the PCS to keep the real-time discharging power unchanged.
In an exemplary embodiment, as shown in fig. 5, the apparatus 500 further comprises: a load power harvesting module 540.
And a load power obtaining module 540, configured to obtain real-time load power of the power utilization side.
In an exemplary embodiment, the instruction sending module 530 is further configured to send a third control instruction to the PCS if the real-time load power is less than the real-time discharging power, where the third control instruction is used to control the PCS to reduce the real-time discharging power to a second target power, and the second target power is less than or equal to the real-time load power.
In an exemplary embodiment, the prediction obtaining module 510 is configured to obtain a predicted load capacity of the power utilization side, where the predicted load capacity refers to a predicted load capacity of the power utilization side in the target time period; and determining the predicted load power according to the predicted load electric quantity and the duration of the target time interval.
In an exemplary embodiment, the prediction acquisition module 510 is further configured to acquire historical load information, the historical load information including at least one of: historical load electricity quantity and historical load power; and calling an Artificial Intelligence (AI) model, and calculating the predicted load electric quantity according to the historical load information.
In an exemplary embodiment, the prediction obtaining module 510 is further configured to send an obtaining request to a server, where the obtaining request is used to request the server to obtain the predicted load capacity; and receiving the predicted load electric quantity sent by the server.
In summary, in the technical solution provided in the embodiment of the present application, the predicted load power at the power utilization side is compared with the real-time discharge power of the PCS, and when the predicted load power is smaller than the real-time discharge power, the real-time discharge power of the PCS is controlled to be reduced to be less than or equal to the predicted load power, so that the problem of low anti-backflow protection efficiency in the related art is solved, the anti-backflow protection efficiency is improved, corresponding measures are effectively taken before the occurrence of the backflow, and the occurrence of the backflow problem is avoided as much as possible.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 7, a block diagram of a computer device 700 according to an embodiment of the present application is shown. The computer device is used for implementing the anti-backflow protection method of the energy storage system provided in the above embodiment. The computer device may be an anti-reflux protection device in the energy storage system 10 in the implementation environment shown in fig. 1. Specifically, the method comprises the following steps:
the computer device 700 includes a Processing Unit (e.g., a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field Programmable gate array), etc.) 701, a system Memory 704 including a RAM (Random Access Memory) 702 and a ROM (Read Only Memory) 703, and a system bus 705 connecting the system Memory 704 and the Central Processing Unit 701. The computer device 700 also includes a basic I/O system (Input/Output) 706 for facilitating information transfer between various devices within the computer device, and a mass storage device 707 for storing an operating system 713, application programs 714, and other program modules 712.
The basic input/output system 706 includes a display 708 for displaying information and an input device 709, such as a mouse, keyboard, etc., for a user to input information. Wherein the display 708 and input device 709 are connected to the central processing unit 701 through an input output controller 710 coupled to the system bus 705. The basic input/output system 706 may also include an input/output controller 710 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 710 may also provide output to a display screen, a printer, or other type of output device.
The mass storage device 707 is connected to the central processing unit 701 through a mass storage controller (not shown) connected to the system bus 705. The mass storage device 707 and its associated computer-readable media provide non-volatile storage for the computer device 700. That is, the mass storage device 707 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM (Compact disk Read-Only Memory) drive.
Without loss of generality, the computer readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory technology, CD-ROM, DVD (Digital Video Disc) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 704 and mass storage device 707 described above may be collectively referred to as memory.
The computer device 700 may also operate as a remote computer connected to a network via a network, such as the internet, according to embodiments of the present application. That is, the computer device 700 may be connected to the network 712 through the network interface unit 711 connected to the system bus 705, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 711.
The memory also includes at least one instruction, at least one program, set of codes, or set of instructions stored in the memory and configured to be executed by one or more processors to implement the above-described methods.
It should be noted that the structure of the computer device described above is merely exemplary and explanatory, and may include more or less components, which are not limited by the embodiments of the present application.
In an embodiment of the present application, there is also provided a computer-readable storage medium having at least one instruction, at least one program, a set of codes, or a set of instructions stored therein, which when executed by a processor, implement the above method.
Optionally, the computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM).
In an exemplary embodiment, a computer program product is also provided, which, when executed by a processor, is adapted to carry out the above-mentioned method.
It should be understood that reference to "a plurality" herein means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. In addition, the step numbers described herein only exemplarily show one possible execution sequence among the steps, and in some other embodiments, the steps may also be executed out of the numbering sequence, for example, two steps with different numbers are executed simultaneously, or two steps with different numbers are executed in a reverse order to the order shown in the figure, which is not limited by the embodiment of the present application.
The above description is only exemplary of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A method of anti-reflux protection for an energy storage system, the method comprising:
acquiring predicted load power of a power utilization side, wherein the predicted load power refers to the predicted average load power of the power utilization side in a target time period;
acquiring real-time discharge power of an energy storage converter PCS of an energy storage system;
if the predicted load power is smaller than the real-time discharge power, sending a first control instruction to the PCS, wherein the first control instruction is used for indicating the PCS to reduce the real-time discharge power to a first target power, and the first target power is smaller than or equal to the predicted load power.
2. The method of claim 1, wherein the first control instruction comprises the first target power and the target time period.
3. The method according to claim 1, after the obtaining of the real-time discharge power of the PCS of the energy storage system, further comprising:
and if the predicted load power is larger than the real-time discharge power, sending a second control instruction to the PCS, wherein the second control instruction is used for indicating the PCS to keep the real-time discharge power unchanged.
4. The method of claim 1, further comprising:
acquiring real-time load power of the power utilization side;
if the real-time load power is smaller than the real-time discharge power, a third control instruction is sent to the PCS, the third control instruction is used for controlling the PCS to reduce the real-time discharge power to a second target power, and the second target power is smaller than or equal to the real-time load power.
5. The method of claim 1, wherein the obtaining the predicted load power on the power-consuming side comprises:
acquiring the predicted load electric quantity of the power utilization side, wherein the predicted load electric quantity refers to the predicted load electric quantity of the power utilization side in the target time period;
and determining the predicted load power according to the predicted load electric quantity and the duration of the target time interval.
6. The method of claim 5, wherein the obtaining the predicted load capacity of the power consumption side comprises:
obtaining historical load information, wherein the historical load information comprises at least one of the following items: historical load electricity quantity and historical load power;
and calling an Artificial Intelligence (AI) model, and calculating the predicted load electric quantity according to the historical load information.
7. The method of claim 5, wherein the obtaining the predicted load capacity of the power consumption side comprises:
sending an acquisition request to a server, wherein the acquisition request is used for requesting to acquire the predicted load electric quantity;
and receiving the predicted load electric quantity sent by the server.
8. An anti-reflux protection device for an energy storage system, the device comprising:
the device comprises a prediction power acquisition module, a prediction power acquisition module and a power utilization module, wherein the prediction power acquisition module is used for acquiring the prediction load power of a power utilization side, and the prediction load power refers to the average load power of the power utilization side in a target time period;
the real-time power acquisition module is used for acquiring real-time discharge power of an energy storage converter PCS of the energy storage system;
and the instruction sending module is used for sending a first control instruction to the PCS if the predicted load power is smaller than the real-time discharging power, wherein the first control instruction is used for indicating the PCS to reduce the real-time discharging power to a first target power, and the first target power is smaller than or equal to the predicted load power.
9. A computer device, characterized in that the computer device comprises a processor and a memory, in which a computer program is stored, which computer program is loaded and executed by the processor to implement the method according to any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which is loaded and executed by a processor to implement the method according to any one of claims 1 to 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112713604A (en) * | 2020-12-22 | 2021-04-27 | 合肥阳光新能源科技有限公司 | Energy storage power adjusting method and device and energy storage system |
| CN114362249A (en) * | 2022-01-27 | 2022-04-15 | 阳光电源股份有限公司 | Source-load system anti-reflux control method and device and source-load system |
| CN115207900A (en) * | 2021-04-09 | 2022-10-18 | 正泰集团研发中心(上海)有限公司 | Anti-reflux control method of micro-grid system and micro-grid system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101719677A (en) * | 2009-12-10 | 2010-06-02 | 西东控制集团（沈阳）有限公司 | Control unit for zero counter current network integrating control device |
| WO2014080667A1 (en) * | 2012-11-21 | 2014-05-30 | 株式会社 東芝 | Energy management system, energy management method, program, server device, and local server |
| WO2015003443A1 (en) * | 2013-07-09 | 2015-01-15 | 京东方科技集团股份有限公司 | Anti-countercurrent grid-connected photovoltaic power generation system |
| JP2017022918A (en) * | 2015-07-14 | 2017-01-26 | 三菱電機株式会社 | Power management device |
| CN106786554A (en) * | 2017-01-17 | 2017-05-31 | 珠海格力电器股份有限公司 | The control method and device of micro-grid system |
| CN108767892A (en) * | 2018-04-23 | 2018-11-06 | 力神动力电池系统有限公司 | A kind of charging station system of novel electric vehicle |
| JP2018182847A (en) * | 2017-04-07 | 2018-11-15 | 株式会社ダイヘン | System interconnection system and electric power system |
| CN109038690A (en) * | 2018-09-19 | 2018-12-18 | 清华四川能源互联网研究院 | Transformer load rate controls device and method |
| CN110098628A (en) * | 2019-06-19 | 2019-08-06 | 合肥阳光新能源科技有限公司 | A kind of energy storage demand control system and its counterflow-preventing method and apparatus |
| CN110148957A (en) * | 2019-05-27 | 2019-08-20 | 合肥阳光新能源科技有限公司 | A kind of demand control method, apparatus and system based on energy-storage system |
-
2019
- 2019-11-19 CN CN201911137491.3A patent/CN111008909A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101719677A (en) * | 2009-12-10 | 2010-06-02 | 西东控制集团（沈阳）有限公司 | Control unit for zero counter current network integrating control device |
| WO2014080667A1 (en) * | 2012-11-21 | 2014-05-30 | 株式会社 東芝 | Energy management system, energy management method, program, server device, and local server |
| WO2015003443A1 (en) * | 2013-07-09 | 2015-01-15 | 京东方科技集团股份有限公司 | Anti-countercurrent grid-connected photovoltaic power generation system |
| JP2017022918A (en) * | 2015-07-14 | 2017-01-26 | 三菱電機株式会社 | Power management device |
| CN106786554A (en) * | 2017-01-17 | 2017-05-31 | 珠海格力电器股份有限公司 | The control method and device of micro-grid system |
| JP2018182847A (en) * | 2017-04-07 | 2018-11-15 | 株式会社ダイヘン | System interconnection system and electric power system |
| CN108767892A (en) * | 2018-04-23 | 2018-11-06 | 力神动力电池系统有限公司 | A kind of charging station system of novel electric vehicle |
| CN109038690A (en) * | 2018-09-19 | 2018-12-18 | 清华四川能源互联网研究院 | Transformer load rate controls device and method |
| CN110148957A (en) * | 2019-05-27 | 2019-08-20 | 合肥阳光新能源科技有限公司 | A kind of demand control method, apparatus and system based on energy-storage system |
| CN110098628A (en) * | 2019-06-19 | 2019-08-06 | 合肥阳光新能源科技有限公司 | A kind of energy storage demand control system and its counterflow-preventing method and apparatus |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112713604A (en) * | 2020-12-22 | 2021-04-27 | 合肥阳光新能源科技有限公司 | Energy storage power adjusting method and device and energy storage system |
| CN112713604B (en) * | 2020-12-22 | 2023-04-07 | 阳光新能源开发股份有限公司 | Energy storage power adjusting method and device and energy storage system |
| CN115207900A (en) * | 2021-04-09 | 2022-10-18 | 正泰集团研发中心(上海)有限公司 | Anti-reflux control method of micro-grid system and micro-grid system |
| CN114362249A (en) * | 2022-01-27 | 2022-04-15 | 阳光电源股份有限公司 | Source-load system anti-reflux control method and device and source-load system |
| CN114362249B (en) * | 2022-01-27 | 2024-03-26 | 阳光慧碳科技有限公司 | Source load system countercurrent prevention control method and device and source load system |
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