Energy storage peak shaving method and device for new energy station and computer readable storage medium

Abstract

The present disclosure provides a new energy station energy storage peak shaving method, device and computer readable storage medium. The energy storage peak shaving method comprises: receiving an energy storage charging peak shaving power instruction; for each sampling period within an energy storage charging peak shaving operation time period, determining the working condition of the new energy station in each sampling period based on the energy storage charging peak shaving power indicated by the energy storage charging peak shaving power instruction, the power generation and power consumption of the new energy station in the sampling period; determining the energy storage charging peak shaving cost of the new energy station in each sampling period based on the energy storage charging peak shaving power, or based on the energy storage charging peak shaving power and the power generation and power consumption of the new energy station in each sampling period according to the working condition of the new energy station in each sampling period; and determining the energy storage charging peak shaving cost of the new energy station based on the energy storage charging peak shaving cost of the new energy station in each sampling period.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of new energy power generation, and more particularly to a new energy station energy storage peak shaving method, device and computer readable storage medium. BACKGROUND

[0002] The randomness and volatility of new energy power generation (for example, but not limited to, wind power generation and photovoltaic power generation) have an increasingly significant impact on the safe and stable operation of power grids and power quality. New energy stations that are newly built are mostly equipped with energy storage devices in different proportions. At present, energy storage devices can accept grid dispatching control for peak shaving operation. There are two peak shaving modes. One is competitive peak shaving, and new energy stations participating in peak shaving operation can obtain certain benefits. The other is public welfare peak shaving, and new energy stations participating in peak shaving operation have no benefits. For public welfare peak shaving, in some cases, new energy stations participating in peak shaving operation not only have no benefits, but also suffer losses. Specifically, in a small wind condition or a windless condition, when the grid dispatching requires the new energy station to participate in energy storage charging peak shaving, the energy storage charging peak shaving power is greater than the power generation power of the new energy station, resulting in that the energy storage device needs to absorb power from the grid. However, since the power absorbed from the grid is settled according to the grid price (i.e., the commercial electricity price), and the grid price is significantly higher than the new energy power generation on-grid price of the new energy station, the new energy station ultimately not only has no benefits, but also suffers losses, thereby leading to an increase in the cost of the new energy station. Therefore, it is urgent to provide a cooperation mode that comprehensively considers the wind farm power and the energy storage peak shaving power, to control the cost of the new energy station. SUMMARY

[0003] To this end, the purpose of an embodiment of the present disclosure is to provide a new energy station energy storage peak shaving method, device and computer readable storage medium, by reasonably designing the cooperation mode of the energy storage charging peak shaving power and the wind farm power of the new energy station, to control the cost of the new energy station and improve the enthusiasm of the new energy station in participating in peak shaving.

[0004] In one general aspect, there is provided a method for energy storage peak shaving of a new energy plant, the method comprising: receiving an energy storage charging peak shaving power instruction; determining, for each sampling period within an energy storage charging peak shaving operation time period, an operating condition of the new energy plant based on an energy storage charging peak shaving power indicated by the energy storage charging peak shaving power instruction, a power generation of the new energy plant and a power consumption of the new energy plant within the sampling period; determining, for each sampling period, an energy storage charging peak shaving cost of the new energy plant based on the energy storage charging peak shaving power, or based on the energy storage charging peak shaving power and the power generation and the power consumption of the new energy plant within the sampling period, according to the operating condition of the new energy plant within the sampling period, and determining a total energy storage charging peak shaving cost of the new energy plant based on the energy storage charging peak shaving cost of the new energy plant within each sampling period.

[0005] Optionally, the method further comprises: in response to the energy storage charging peak shaving power instruction, controlling an energy storage device of the new energy plant to perform an energy storage charging peak shaving operation.

[0006] Optionally, the step of determining the operating condition of the new energy plant within each sampling period comprises: summing the energy storage charging peak shaving power and the power consumption of the new energy plant within the sampling period, and determining a first power difference value of the power generation of the new energy plant minus the sum within the sampling period; determining the operating condition of the new energy plant within the sampling period based on the first power difference value.

[0007] Optionally, in response to the first power difference value being greater than 0, the operating condition of the new energy plant within the sampling period is determined to be a high-wind operating condition; and in response to the first power difference value being less than 0, the operating condition of the new energy plant within the sampling period is determined to be a low-wind operating condition.

[0008] Optionally, the step of determining the energy storage charging peak shaving cost of the new energy plant within each sampling period comprises: in response to the operating condition of the new energy plant within the sampling period being the high-wind operating condition, determining an energy storage charging peak shaving electricity quantity of the sampling period based on the energy storage charging peak shaving power and a time length of the sampling period; and determining the energy storage charging peak shaving cost of the new energy plant within the sampling period based on the energy storage charging peak shaving electricity quantity, a loss coefficient, and a new energy power generation on-grid price of the sampling period.

[0009] Optionally, the step of determining the energy storage charging peak shaving cost of the new energy station in each sampling period comprises: in response to the operating condition of the new energy station in the sampling period being a small wind operating condition, determining a size relationship between the power generation and the power consumption of the new energy station in the sampling period; in response to the power generation of the new energy station in the sampling period being less than the power consumption, determining the energy storage charging peak shaving cost of the new energy station in the sampling period based on a second power difference between the power consumption and the power generation of the new energy station in the sampling period and the energy storage charging peak shaving power; and in response to the power generation of the new energy station in the sampling period being greater than or equal to the power consumption, determining the energy storage charging peak shaving cost of the new energy station in the sampling period based on a third power difference between the power generation and the power consumption of the new energy station in the sampling period and the energy storage charging peak shaving power.

[0010] In another general aspect, there is provided an energy storage peak shaving device of a new energy station, comprising: a receiving unit configured to receive an energy storage charging peak shaving power instruction; an operating condition determining unit configured to, for each sampling period in an energy storage charging peak shaving operation time period, determine an operating condition of the new energy station in the sampling period based on an energy storage charging peak shaving power indicated by the energy storage charging peak shaving power instruction, power generation and power consumption of the new energy station in the sampling period; and a cost calculating unit configured to determine an energy storage charging peak shaving cost of the new energy station in each sampling period based on the energy storage charging peak shaving power according to the operating condition of the new energy station in each sampling period, or based on the energy storage charging peak shaving power and the power generation and power consumption of the new energy station in each sampling period, and determine the energy storage charging peak shaving cost of the new energy station based on the energy storage charging peak shaving cost of the new energy station in each sampling period.

[0011] Optionally, the energy storage peak shaving device further comprises a peak shaving control unit configured to control an energy storage device of the new energy station to perform an energy storage charging peak shaving operation in response to the energy storage charging peak shaving power instruction.

[0012] In another general aspect, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the energy storage peak shaving method of a new energy station as described above.

[0013] In another general aspect, there is provided a computing device, comprising: a processor; and a memory storing a computer program which, when executed by the processor, implements the energy storage peak shaving method of a new energy station as described above.

[0014] The energy storage peak shaving method, device and computer readable storage medium of the new energy station according to the embodiments of the present disclosure can control the cost of the new energy station by reasonably designing the cooperation mode of the energy storage charging peak shaving power of the new energy station and the wind power under different working conditions, can avoid the new energy station from bearing the loss caused by the charging of the energy storage device, and can improve the enthusiasm of the new energy station in participating in peak shaving. BRIEF DESCRIPTION OF DRAWINGS

[0015] The above and other objects and features of the present disclosure will become more apparent from the following description of embodiments of the present disclosure when taken in conjunction with the accompanying drawings.

[0016] Figure 1 is a schematic diagram illustrating a primary and secondary system of a new energy station according to an embodiment of the present disclosure;

[0017] Figure 2 is a flowchart illustrating an energy storage peak shaving method of a new energy station according to an embodiment of the present disclosure;

[0018] Figure 3 is a block diagram illustrating an energy storage peak shaving device of a new energy station according to an embodiment of the present disclosure;

[0019] Figure 4 is a block diagram illustrating a computing device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0020] The following detailed description is provided to help the reader obtain a complete understanding of the methods, devices, and / or systems described herein. However, various changes, modifications, and equivalents of the methods, devices, and / or systems described herein will be clear to those skilled in the art after understanding the disclosure of the present application. For example, the order of the operations described herein is merely an example, and is not limited to those set forth herein, but can be changed as will be clear to those skilled in the art after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, the description of features known in the art can be omitted for the sake of clarity and conciseness.

[0021] The features described herein can be implemented in different forms and should not be construed as being limited to the examples described herein. Rather, the examples described herein have been provided to merely show some of the many possible ways of implementing the methods, devices, and / or systems described herein, which will be clear to those skilled in the art after understanding the disclosure of the present application.

[0022] As used herein, the term "and / or" includes any one of the associated listed items, as well as any combination of any two or more of the associated listed items.

[0023] Although terms such as "first", "second", and "third" can be used herein to describe various elements, components, regions, layers or sections, these elements, components, regions, layers or sections should not be limited by these terms. Instead, these terms are only used to distinguish one element, component, region, layer or section from another element, component, region, layer or section. Therefore, the first element, first component, first region, first layer or first section described in the examples described herein can also be called the second element, second component, second region, second layer or second section without departing from the teachings of the examples.

[0024] In the specification, when an element such as a layer, a region, or a substrate is referred to as "on" another element, "connected to" or "coupled to" another element, it can be "directly on" the other element, "directly connected to" or "directly coupled to" the other element, or one or more other elements can be interposed therebetween. In contrast, when an element is referred to as being "directly on" another element, "directly connected to" or "directly coupled to" another element, there are no other elements interposed therebetween.

[0025] The terms used herein are only used to describe various examples and not to limit the disclosure. The singular form also intends to include the plural form unless the context clearly indicates otherwise. The terms "comprise", "include" and "have" indicate the presence of the stated feature, number, operation, component, element, and / or combination thereof, but do not exclude the presence or addition of one or more other features, numbers, operations, components, elements, and / or combinations thereof.

[0026] Unless otherwise defined, all terms used herein, including technical terms and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the disclosure belongs after the disclosure is understood. Unless explicitly defined herein, terms such as those defined in a general dictionary should be interpreted as having a meaning consistent with their meanings in the context of the relevant art and the disclosure, and should not be interpreted ideally or overly formally.

[0027] In addition, in the description of the examples, when it is considered that a detailed description of the related structure or function known to be confusing to the disclosure will be caused, such a detailed description will be omitted.

[0028] Figure 1 is a schematic diagram showing a primary and secondary system of a new energy plant according to an embodiment of the disclosure.

[0029] Since the energy storage peak shaving method of the new energy plant according to the embodiment of the disclosure is executed on the control system of the existing new energy plant, hereinafter Figure 1 The primary and secondary system of the new energy plant is simply described. As Figure 1As shown, the primary and secondary systems of the new energy station can be divided into a new energy device layer, a new energy station control layer, and a dispatch control layer from bottom to top, wherein the new energy device layer belongs to the primary system, and the new energy station control layer and the dispatch control layer belong to the secondary system.

[0030] The new energy device layer can include new energy power generation devices such as wind power generation devices (for example, direct-drive wind turbines, doubly-fed wind turbines, etc.), photovoltaic power generation devices, etc., and energy storage devices. The energy storage devices can include energy storage units, energy storage converters (PCSs), energy management systems (EMSs), etc. Alternatively, the new energy device layer can also include a grid-connected point (primary system control point) data acquisition device (not shown) for PT data (voltage data) acquisition and CT data (current) acquisition, and transmit the acquired data to the station control system in the new energy station control layer. The new energy station control layer can include a station control system (and its upper computer workstation), a new energy power prediction system, and a new energy monitoring system (not shown), wherein the station control system can communicate with the new energy power generation devices through a new energy power generation device communication network, communicate with the energy storage devices through an energy storage device communication network, and can communicate with the upper computer workstation, the new energy power prediction system, and the new energy monitoring system. The station control system realizes active control, reactive voltage control, primary frequency modulation, and inertia response control, etc. by controlling the new energy power generation devices. The new energy power prediction system can upload new energy power generation power prediction data to the grid dispatch system in the dispatch control layer. The new energy monitoring system can detect the running state of the new energy power generation devices in real time, and can control the new energy power generation devices on site. The dispatch control layer can include an AGC (automatic generation control), an AVC (automatic voltage control), and a grid dispatch system. The AGC issues active dispatch plan values to the station control system to realize active dispatch, and can also directly communicate with the EMS of the energy storage devices to realize direct control of the energy storage. The AVC issues voltage and reactive power instructions to the station control system to realize reactive voltage control. The grid dispatch system issues active instructions to the AGC and issues reactive power and voltage instructions to the AVC according to grid dispatch needs, and receives the power prediction data uploaded by the new energy station power prediction system.

[0031] Reference will be made to the following Figure 2A method for energy storage peak shaving of a new energy station according to an embodiment of the present disclosure is described. The method can be executed by a station control system, but the present disclosure is not limited thereto. For example, the method can be executed by a host workstation. Generally, the cost of absorbing power from a power grid is high, so the new energy station will prefer to use power generated by new energy power generation equipment to maintain station power consumption, which is easy to achieve in a strong wind condition. However, in a light wind condition, the new energy station sometimes needs to meet the cost burden of both energy storage charging peak shaving to increase peak shaving power and station power consumption, which causes the cost of energy storage charging peak shaving to rise. Therefore, it is necessary to reasonably determine the cost of energy storage charging peak shaving. Therefore, the method mainly aims to reasonably determine the cost of energy storage peak shaving when the energy storage peak shaving is executed in a light wind condition, while considering the determination of the cost of energy storage peak shaving when the energy storage peak shaving is executed in a strong wind condition.

[0032] Figure 2 is a flowchart illustrating a method for energy storage peak shaving of a new energy station according to an embodiment of the present disclosure.

[0033] Referring to Figure 2 In step S201, a charging peak shaving power instruction is received. For example, the charging peak shaving power instruction can be received from a power grid dispatching system, wherein the charging peak shaving power instruction can indicate a charging peak shaving power P peak .

[0034] Next, in step S202, for each sampling period within a charging peak shaving operation period, based on the charging peak shaving power P peak indicated by the charging peak shaving power instruction, the power P gen generated by the new energy station in the sampling period, and the power P station consumed by the new energy station in the sampling period, a working condition of the new energy station in each sampling period is determined. According to an embodiment of the present disclosure, since the power generated by the new energy station fluctuates greatly, the working condition of the new energy station changes rapidly, so it is necessary to determine the working condition of the new energy station in each sampling period within the charging peak shaving operation period.

[0035] Specifically, in order to determine the working condition of the new energy station in each sampling period, first, a sum value of the charging peak shaving power P peak and the power P station consumed by the new energy station in the sampling period is determined, and a first power difference P1 (i.e., P1=P gen -P gen -P peak +P stationThen, the operating condition of the renewable energy power station during the sampling period can be determined based on the first power difference P1. For example, when the first power difference P1 is greater than 0, the operating condition of the renewable energy power station during the sampling period can be determined to be a high-wind condition; when the first power difference P1 is less than (or equal to) 0, the operating condition of the renewable energy power station during the sampling period can be determined to be a low-wind condition. Theoretically, since the power generation of renewable energy power stations fluctuates greatly, the first power difference P1 will almost never be equal to 0. That is to say, when the power generation of renewable energy power stations is sufficient to meet the electricity demand of renewable energy power stations and energy storage charging peak shaving, the operating condition of renewable energy power stations can be determined to be a high-wind condition; when the power generation of renewable energy power stations is insufficient to meet the electricity demand of renewable energy power stations and energy storage charging peak shaving, the operating condition of renewable energy power stations can be determined to be a low-wind condition.

[0036] After determining the operating conditions of the new energy power stations during each sampling period, in step S203, based on the operating conditions of the new energy power stations during each sampling period, and based on the energy storage charging peak-shaving power P... peak Or based on the energy storage charging peak shaving power P peak and the power generation P of the new energy power station during each sampling period gen and power consumption P station Determine the energy storage and charging peak-shaving cost C of new energy power stations in each sampling period. △t Furthermore, based on the energy storage and charging peak-shaving cost C of new energy power stations within each sampling period. △t Determine the energy storage and charging peak-shaving cost C of the new energy power station. That is, the energy storage and charging peak-shaving cost C of the new energy power station in each sampling period can be determined. △t The sum is determined as the energy storage, charging, and peak-shaving cost C of the new energy power station.

[0037] Specifically, when the operating condition of a new energy power station is a high-wind condition during a certain sampling period, the first step can be based on the peak-shaving power P of the energy storage charging. peak The energy storage charging peak regulation power W for the sampling period is determined based on the duration of the sampling period (e.g., Δt), as shown in the following equation (1).

[0038] W = P peak ·Δt (1)

[0039] Then, based on the peak-shaving power W of energy storage charging, the loss coefficient α, and the on-grid tariff R of new energy power generation during the sampling period, the energy storage charging peak-shaving power can be used. station Determine the energy storage and charging peak-shaving cost C of the new energy power station during the sampling period. △t As shown in equation (2) below.

[0040] C Δt =W·α·R station (2)

[0041] The reason for using the above equations (1) and (2) to determine the energy storage peak shaving cost is that although the energy storage device does not absorb power from the power grid in the large wind condition, the charging and discharging power of the energy storage device will be lost, so it is necessary to reasonably determine the energy storage peak shaving cost considering the charging and discharging loss.

[0042] On the other hand, when the working condition of the new energy station in a certain sampling period is a small wind condition, the size relationship between the power generation P gen and the power consumption P station of the new energy station in the sampling period can be determined. When the power generation P gen of the new energy station in the sampling period is less than the power consumption P station , the energy storage charging peak shaving cost C △t of the new energy station in the sampling period can be determined based on the power consumption P station of the new energy station in the sampling period minus the second power difference P2 of the power generation P gen and the energy storage charging peak shaving power P peak . When the power generation P gen of the new energy station in the sampling period is greater than or equal to the power consumption P station , the energy storage charging peak shaving cost C △t of the new energy station in the sampling period can be determined based on the power generation P gen of the new energy station in the sampling period minus the third power difference P3 of the power consumption P station and the energy storage charging peak shaving power P peak .

[0043] Further, when the energy storage charging peak shaving cost C △t of the new energy station in the sampling period is determined based on the power consumption P station of the new energy station in the sampling period minus the second power difference P2 of the power generation P gen and the energy storage charging peak shaving power P peak , first, the fourth power difference P4 of the energy storage charging peak shaving power P peak minus the second power difference P2 can be determined. Then, the fourth power difference P4, the length of the sampling period Δt, and the grid price R grid of the sampling period can be used to determine the energy storage charging peak shaving cost C △t of the new energy station in the sampling period. The specific calculation method is shown in the following equations (3) and (4).

[0044] C Δt = P4·Δt·R grid (3)

[0045] P4 = P peak -P2 = Ppeak -(P station -P gen ) (4)

[0046] When determining the energy storage charging peak shaving cost C gen of the new energy station in the sampling period based on the power P station of the new energy station in the sampling period, the power P peak of the new energy station in the sampling period, the third power difference P3 and the energy storage charging peak shaving power P △t , the fifth power difference P5 of the energy storage charging peak shaving power P peak minus the third power difference P3 can be determined first. Then, the first energy storage charging peak shaving cost C grid in the sampling period can be determined based on the fifth power difference P5, the length of the sampling period Δt and the grid price R △t1 of the sampling period. Next, the second energy storage charging peak shaving cost C station in the sampling period can be determined based on the third power difference P3, the length of the sampling period Δt, the loss coefficient α and the new energy generation grid price R △t2 of the sampling period. Finally, the energy storage charging peak shaving cost C △t1 of the new energy station in the sampling period can be determined as the sum of the first energy storage charging peak shaving cost C △t2 and the second energy storage charging peak shaving cost C △t in the sampling period. The specific calculation method is shown in the following equations (5) to (8).

[0047] C Δt =C Δt1 +C Δt2 (5)

[0048] C Δt1 =P5·Δt·R grid (6)

[0049] C Δt2 =P3·Δt·α·R station (7)

[0050] P5=P peak -P3=P peak -(P gen -P station ) (8)

[0051] Alternatively, the energy storage peak shaving method can further include step S204. In step S204, in response to the energy storage charging peak shaving power instruction, the energy storage device of the new energy station is controlled to perform the energy storage charging peak shaving operation.

[0052] According to the energy storage peak shaving method of the new energy station as described above, by reasonably designing the cooperation mode of the energy storage charging peak shaving power of the new energy station and the wind power in different working conditions, the cost of the new energy station is controlled, the loss caused by the charging of the energy storage device can be avoided, and the enthusiasm of the new energy station in participating in peak shaving is improved.

[0053] Figure 3 is a block diagram illustrating an energy storage peak shaving device of a new energy station according to an embodiment of the present disclosure.

[0054] With reference to Figure 3 The energy storage peak shaving device 300 of the new energy station according to the embodiment of the present disclosure includes a receiving unit 310, a working condition determining unit 320, and a cost calculating unit 330. The energy storage peak shaving device 300 can be implemented in a station control system, but the present disclosure is not limited thereto. For example, the energy storage peak shaving device 300 can be implemented in a host computer workstation or as a separate electronic device.

[0055] The receiving unit 310 can receive an energy storage charging peak shaving power instruction. The working condition determining unit 320 can determine, for each sampling period within an energy storage charging peak shaving operation period, a working condition of the new energy station in each sampling period based on an energy storage charging peak shaving power indicated by the energy storage charging peak shaving power instruction, a power generation power and a power consumption power of the new energy station in the sampling period. The cost calculating unit 330 can determine, according to the working condition of the new energy station in each sampling period, an energy storage charging peak shaving cost of the new energy station in each sampling period based on the energy storage charging peak shaving power, or based on the energy storage charging peak shaving power and the power generation power and the power consumption power of the new energy station in each sampling period, and determine the energy storage charging peak shaving cost of the new energy station based on the energy storage charging peak shaving cost of the new energy station in each sampling period.

[0056] Alternatively, the energy storage peak shaving device 300 can further include a peak shaving control unit 340. The peak shaving control unit 340 can control the energy storage device of the new energy station to perform an energy storage charging peak shaving operation in response to the energy storage charging peak shaving power instruction.

[0057] According to the embodiment of the present disclosure, the working condition determining unit 320 can determine a sum of the energy storage charging peak shaving power and the power consumption power of the new energy station in the sampling period, and determine a first power difference value of the power generation power of the new energy station minus the sum in the sampling period; determine the working condition of the new energy station in the sampling period based on the first power difference value.

[0058] Further, in response to the first power difference value being greater than 0, the working condition determining unit 320 can determine that the working condition of the new energy station in the sampling period is a strong wind working condition; in response to the first power difference value being less than 0, the working condition determining unit 320 can determine that the working condition of the new energy station in the sampling period is a weak wind working condition.

[0059] In response to the operating condition of the new energy plant station being a high-wind operating condition in a certain sampling period, the cost calculation unit 330 can determine, based on the energy storage charging peak shaving power and the length of the sampling period, an energy storage charging peak shaving power quantity in the sampling period; and can determine, based on the energy storage charging peak shaving power quantity, the loss coefficient, and the new energy power generation on-grid price in the sampling period, an energy storage charging peak shaving cost of the new energy plant station in the sampling period.

[0060] In response to the operating condition of the new energy plant station being a low-wind operating condition in a certain sampling period, the cost calculation unit 330 can determine the size relationship between the power generation power and the power consumption power of the new energy plant station in the sampling period. In response to the power generation power of the new energy plant station being less than the power consumption power in the sampling period, the cost calculation unit 330 can determine, based on a second power difference value between the power consumption power and the power generation power of the new energy plant station in the sampling period and the energy storage charging peak shaving power, an energy storage charging peak shaving cost of the new energy plant station in the sampling period; in response to the power generation power of the new energy plant station being greater than or equal to the power consumption power in the sampling period, the cost calculation unit 330 can determine, based on a third power difference value between the power generation power and the power consumption power of the new energy plant station in the sampling period and the energy storage charging peak shaving power, an energy storage charging peak shaving cost of the new energy plant station in the sampling period.

[0061] Further, the cost calculation unit 330 can determine a fourth power difference value between the energy storage charging peak shaving power and the second power difference value; and determine, based on the fourth power difference value, the length of the sampling period, and the grid price in the sampling period, the energy storage charging peak shaving cost of the new energy plant station in the sampling period. On the other hand, the cost calculation unit 330 can determine a fifth power difference value between the energy storage charging peak shaving power and the third power difference value; determine, based on the fifth power difference value, the length of the sampling period, and the grid price in the sampling period, a first energy storage charging peak shaving cost in the sampling period; determine, based on the third power difference value, the length of the sampling period, the loss coefficient, and the new energy power generation on-grid price in the sampling period, a second energy storage charging peak shaving cost in the sampling period; and determine, as the energy storage charging peak shaving cost of the new energy plant station in the sampling period, a sum of the first energy storage charging peak shaving cost and the second energy storage charging peak shaving cost in the sampling period.

[0062] Figure 4 is a block diagram illustrating a computing device according to an embodiment of the present disclosure. The computing device can be implemented in a plant control system, but the present disclosure is not limited thereto. For example, the computing device can be implemented in an upper computer workstation, or as a separate electronic device.

[0063] Reference Signs List Figure 4The computing device 400 according to embodiments of the present disclosure can include a processor 410 and a memory 420. The processor 410 can include, but is not limited to, a central processing unit (CPU), a digital signal processor (DSP), a microcomputer, a field programmable gate array (FPGA), a system on chip (SoC), a microprocessor, an application specific integrated circuit (ASIC), and the like. The memory 420 stores a computer program to be executed by the processor 410. The memory 420 includes a high-speed random access memory and / or a non-volatile computer readable storage medium. When the processor 410 executes the computer program stored in the memory 420, the energy storage peak shaving method of the new energy station as described above can be implemented.

[0064] Alternatively, the computing device 400 can communicate with each new energy power generation device in the new energy device layer in a wired / wireless communication manner, and can also communicate with other systems in the new energy station control layer and / or each system in the dispatching control layer in a wired / wireless communication manner.

[0065] The energy storage peak shaving method of the new energy station according to embodiments of the present disclosure can be written as a computer program and stored on a computer readable storage medium. When the computer program is executed by a processor, the energy storage peak shaving method of the new energy station as described above can be implemented. Examples of the computer readable storage medium include a read only memory (ROM), a random access programmable read only memory (PROM), an electrically erasable programmable read only memory (EEPROM), a random access memory (RAM), a dynamic random access memory (DRAM), a static random access memory (SRAM), a flash memory, a non-volatile memory, a CD-ROM, a CD-R, a CD+R, a CD-RW, a CD+RW, a DVD-ROM, a DVD-R, a DVD+R, a DVD-RW, a DVD+RW, a DVD-RAM, a BD-ROM, a BD-R, a BD-R LTH, a BD-RE, a Blu-ray or optical disc memory, a hard disk drive (HDD), a solid state drive (SSD), a card memory such as a multimedia card, a secure digital (SD) card or an extreme digital (XD) card, a magnetic tape, a floppy disk, a magneto-optical data storage device, an optical data storage device, a hard disk, a solid state disk, and any other device configured to store a computer program and any associated data, data files and data structures in a non-transitory manner and provide the computer program and any associated data, data files and data structures to a processor or computer so that the processor or computer can execute the computer program. In one example, the computer program and any associated data, data files and data structures are distributed on a networked computer system, so that the computer program and any associated data, data files and data structures are stored, accessed and executed by one or more processors or computers in a distributed manner.

[0066] The energy storage peak shaving method, device and computer readable storage medium of the new energy station according to the embodiments of the present disclosure can control the cost of the new energy station by reasonably designing the cooperation mode of the energy storage charging peak shaving power and the wind power of the new energy station under different working conditions, can avoid the new energy station bearing the loss caused by the charging of the energy storage device, and can improve the enthusiasm of the new energy station in participating in peak shaving.

[0067] Although some embodiments of the present disclosure have been shown and described, those skilled in the art should understand that modifications can be made to these embodiments without departing from the principles and spirits of the present disclosure, which are defined by the claims and their equivalents.

Claims

1. A method for energy storage and peak shaving in a new energy power station, characterized in that, The energy storage peak-shaving method includes: Receive energy storage charging peak-shaving power commands; For each sampling period within the energy storage charging peak shaving operation time period, based on the energy storage charging peak shaving power indicated by the energy storage charging peak shaving power command, the power generation power and power consumption power of the new energy power station within that sampling period, the operating condition of the new energy power station within each sampling period is determined; Based on the operating conditions of the new energy power stations during each sampling period, and based on the energy storage charging peak-shaving power, or based on the energy storage charging peak-shaving power and the power generation and power consumption of the new energy power stations during each sampling period, the energy storage charging peak-shaving cost of the new energy power stations during each sampling period is determined, and the energy storage charging peak-shaving cost of the new energy power stations is determined based on the energy storage charging peak-shaving cost of the new energy power stations during each sampling period. The steps for determining the energy storage charging peak-shaving cost of the new energy power station in each sampling period include: In response to the fact that the operating condition of the new energy power station during the sampling period is a high wind condition, the energy storage charging peak-shaving power during the sampling period is determined based on the energy storage charging peak-shaving power and the duration of the sampling period. Based on the energy storage charging peak shaving power, loss coefficient and the on-grid electricity price of new energy power generation during the sampling period, the energy storage charging peak shaving cost of the new energy power station during the sampling period is determined. In response to the fact that the operating condition of the new energy power station during the sampling period is low wind condition, the relationship between the power generation and power consumption of the new energy power station during the sampling period is determined. In response to the fact that the power generation of the new energy power station is less than the power consumption during the sampling period, the energy storage charging peak shaving cost of the new energy power station during the sampling period is determined based on the second power difference between the power consumption and the power generation of the new energy power station during the sampling period and the energy storage charging peak shaving power. In response to the fact that the power generation of the new energy power station is greater than or equal to the power consumption during the sampling period, the energy storage charging peak shaving cost of the new energy power station during the sampling period is determined based on the third power difference between the power generation and power consumption of the new energy power station during the sampling period and the energy storage charging peak shaving power.

2. The energy storage peak-shaving method as described in claim 1, characterized in that, The energy storage peak-shaving method also includes: In response to the energy storage charging peak shaving power command, the energy storage equipment of the new energy power station is controlled to perform energy storage charging peak shaving operation.

3. The energy storage peak-shaving method as described in claim 1, characterized in that, The steps for determining the operating conditions of the new energy power station during each sampling period include: Determine the sum of the energy storage charging peak-shaving power and the power consumption of the new energy power station during the sampling period, and determine the first power difference between the power generation of the new energy power station and the sum during the sampling period; The operating conditions of the new energy power station during the sampling period are determined based on the first power difference.

4. The energy storage peak-shaving method as described in claim 3, characterized in that, In response to the first power difference being greater than 0, the operating condition of the new energy power station during the sampling period is determined to be a high wind condition; In response to the first power difference being less than 0, the operating condition of the new energy power station during the sampling period is determined to be a low-wind condition.

5. An energy storage and peak-shaving device for a new energy power station, characterized in that, The energy storage and peak-shaving device includes: The receiving unit is configured to receive energy storage charging peak-shaving power commands; The operating condition determination unit is configured to: for each sampling period within the energy storage charging peak shaving operation period, based on the energy storage charging peak shaving power indicated by the energy storage charging peak shaving power command, the power generation power and power consumption power of the new energy power station within the sampling period, determine the operating condition of the new energy power station within each sampling period; The cost calculation unit is configured to: determine the energy storage charging peak-shaving cost of the new energy power station in each sampling period based on the operating conditions of the new energy power station in each sampling period, and based on the energy storage charging peak-shaving power, or based on the energy storage charging peak-shaving power and the power generation and power consumption of the new energy power station in each sampling period; and determine the energy storage charging peak-shaving cost of the new energy power station based on the energy storage charging peak-shaving cost of the new energy power station in each sampling period. The cost calculation unit is configured as follows: In response to the fact that the operating condition of the new energy power station during the sampling period is a high wind condition, the energy storage charging peak-shaving power during the sampling period is determined based on the energy storage charging peak-shaving power and the duration of the sampling period. Based on the energy storage charging peak shaving power, loss coefficient and the on-grid electricity price of new energy power generation during the sampling period, the energy storage charging peak shaving cost of the new energy power station during the sampling period is determined. In response to the fact that the operating condition of the new energy power station during the sampling period is low wind condition, the relationship between the power generation and power consumption of the new energy power station during the sampling period is determined. In response to the fact that the power generation of the new energy power station is less than the power consumption during the sampling period, the energy storage charging peak shaving cost of the new energy power station during the sampling period is determined based on the second power difference between the power consumption and the power generation of the new energy power station during the sampling period and the energy storage charging peak shaving power. In response to the fact that the power generation of the new energy power station is greater than or equal to the power consumption during the sampling period, the energy storage charging peak shaving cost of the new energy power station during the sampling period is determined based on the third power difference between the power generation and power consumption of the new energy power station during the sampling period and the energy storage charging peak shaving power.

6. The energy storage and peak-shaving device as described in claim 5, characterized in that, The energy storage and peak-shaving device also includes: The peak shaving control unit is configured to: in response to the energy storage charging peak shaving power command, control the energy storage equipment of the new energy power station to perform energy storage charging peak shaving operation.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the energy storage and peak shaving method for new energy power stations as described in any one of claims 1 to 4.

8. A computing device, characterized in that, The computing device includes: processor; and The memory stores a computer program, which, when executed by a processor, implements the energy storage and peak-shaving method for new energy power stations as described in any one of claims 1 to 4.

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