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

Abstract

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

Description

Technical Field

[0001] The present disclosure relates to the field of renewable energy power generation technology, and more specifically, to a method, device and computer-readable storage medium for energy storage and peak regulation at a renewable energy station. Background Art

[0002] The randomness and volatility of renewable energy power generation (such as but not limited to wind power generation and photovoltaic power generation) have an increasingly significant impact on the safe and stable operation of the power grid and the quality of power. Most of the newly built renewable energy stations are equipped with energy storage devices in different proportions. At present, energy storage devices can accept grid dispatching control for peak-shaving operations. There are two peak-shaving modes, one is bidding peak-shaving, and the renewable energy stations participating in the peak-shaving operation can obtain certain benefits; the other is public welfare peak-shaving, and the renewable energy stations participating in the peak-shaving operation have no benefits. For public welfare peak-shaving, in some cases, the renewable energy stations participating in the peak-shaving operation not only have no benefits, but also suffer losses. Specifically, under low wind conditions or no wind conditions, when the grid dispatch requires the renewable energy station to participate in the energy storage charging peak-shaving, the energy storage charging peak-shaving power is greater than the power generation power of the renewable energy station, resulting in the need for the energy storage equipment to absorb electricity from the grid. However, since the electricity absorbed from the power grid will be settled according to the power grid price (i.e., commercial power price), and the power grid price is significantly higher than the power grid price of new energy power generation at the new energy station, the new energy station will not only have no income, but also suffer losses, which will lead to an increase in the cost of the new energy station. Therefore, a method that comprehensively considers the power of wind farms and the peak-shaving power of energy storage is urgently needed to control the cost of new energy stations. Summary of the invention

[0003] To this end, the purpose of the embodiments of the present disclosure is to provide a method, device and computer-readable storage medium for energy storage peak-shaving of a new energy station, and to control the cost of the new energy station and increase the enthusiasm of the new energy station to participate in peak-shaving by reasonably designing the coordination mode between the energy storage charging peak-shaving power of the new energy station and the wind farm power.

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

[0005] Optionally, the energy storage peak-shaving method further includes: in response to the energy storage charging peak-shaving power instruction, controlling the energy storage equipment of the new energy station to perform an energy storage charging peak-shaving operation.

[0006] Optionally, the step of determining the operating condition of the new energy station within each sampling period includes: taking the sum of the energy storage charging peak-shaving power and the power consumption of the new energy station within the sampling period, and determining a first power difference value of the generated power of the new energy station within the sampling period minus the sum value; and determining the operating condition of the new energy station within the sampling period based on the first power difference value.

[0007] Optionally, in response to the first power difference being greater than 0, it is determined that the operating condition of the new energy station during the sampling period is a high wind condition; in response to the first power difference being less than 0, it is determined that the operating condition of the new energy station during the sampling period is a low wind condition.

[0008] Optionally, the step of determining the energy storage charging peak-shaving cost of the new energy station in each sampling period includes: in response to the operating condition of the new energy station in the sampling period being a strong wind condition, determining the energy storage charging peak-shaving power of the sampling period based on the energy storage charging peak-shaving power and the length of the sampling period; determining the energy storage charging peak-shaving cost of the new energy station in the sampling period based on the energy storage charging peak-shaving power, the loss coefficient and the new energy power generation grid-connected electricity 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 includes: in response to the operating condition of the new energy station in the sampling period being a low wind condition, determining the relationship between the power generation power and the power consumption of the new energy station in the sampling period; in response to the power generation power of the new energy station in the sampling period being less than the power consumption, based on a second power difference between the power consumption of the new energy station in the sampling period and the energy storage charging peak-shaving power, determining the energy storage charging peak-shaving cost of the new energy station in the sampling period; in response to the power generation power of the new energy station in the sampling period being greater than or equal to the power consumption, based on a third power difference between the power generation power of the new energy station in the sampling period and the energy storage charging peak-shaving power, determining the energy storage charging peak-shaving cost of the new energy station in the sampling period.

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

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

[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 the new energy station as described above.

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

[0014] According to the energy storage peak-shaving method, device and computer-readable storage medium of the new energy station of the embodiment of the present disclosure, the cost of the new energy station is controlled by reasonably designing the coordination mode of the energy storage charging peak-shaving power and the wind farm power of the new energy station under different working conditions, which can avoid the new energy station from incurring losses caused by the charging of energy storage equipment and improve the enthusiasm of the new energy station to participate in peak-shaving. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0017] Figure 2 is a flow chart showing a method for peak-shaving energy storage at a new energy station according to an embodiment of the present disclosure;

[0018] Figure 3 is a block diagram showing 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 specific embodiments are provided to help the reader obtain a comprehensive understanding of the methods, devices and / or systems described herein. However, after understanding the disclosure of the present application, various changes, modifications and equivalents of the methods, devices and / or systems described herein will be clear. For example, the order of operations described herein is only an example and is not limited to those orders set forth herein, but can be changed as will be clear after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, for greater clarity and simplicity, the description of features known in the art may be omitted.

[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 illustrate only some of the many possible ways to implement the methods, devices, and / or systems described herein, which will be clear after understanding the disclosure of the present application.

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

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

[0024] In the specification, when an element (such as a layer, a region or a substrate) is described as being “on”, “connected to” or “coupled to” another element, the element may be directly “on”, “connected to” or “coupled to” another element, or one or more other elements may be present therebetween. Conversely, when an element is described as being “directly on”, “directly connected to” or “directly coupled to” another element, there may be no other elements present therebetween.

[0025] The terms used herein are only used to describe various examples and are not intended to limit the disclosure. Unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. The terms "comprise", "include" and "have" indicate the presence of the described features, quantities, operations, components, elements and / or combinations thereof, but do not exclude the presence or addition of one or more other features, quantities, operations, components, elements and / or combinations thereof.

[0026] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by a person of ordinary skill in the art to which the present disclosure belongs after understanding the present disclosure. Unless explicitly defined as such herein, terms (such as those defined in a general dictionary) should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and should not be interpreted in an idealized or overly formal manner.

[0027] Furthermore, in the description of examples, when it is considered that a detailed description of a well-known related structure or function would cause vague interpretation of the present disclosure, such a detailed description will be omitted.

[0028] Figure 1 It is a schematic diagram showing the primary and secondary systems of a new energy station according to an embodiment of the present disclosure.

[0029] Since the energy storage peak-shaving method of the new energy station according to the embodiment of the present disclosure is executed on the control system of the existing new energy station, reference is made here to Figure 1 Briefly describe the primary and secondary systems of new energy stations. Figure 1As shown, the primary and secondary systems of the new energy station can be divided into new energy equipment layer, new energy station control layer and dispatching control layer from bottom to top, among which the new energy equipment layer belongs to the primary system, and the new energy station control layer and dispatching control layer belong to the secondary system.

[0030] The new energy equipment layer may include new energy power generation equipment such as wind power generation equipment (e.g., direct-drive wind turbines, double-fed wind turbines, etc.), photovoltaic power generation equipment, and energy storage equipment. The energy storage equipment may include energy storage units, energy storage converters (PCS), electric energy management systems (EMS), etc. Optionally, the new energy equipment layer may also include a grid connection 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 may include a station control system (and its host computer workstation), a new energy power prediction system, and a new energy monitoring system (not shown), wherein the station control system may communicate with the new energy power generation equipment through the new energy power generation equipment communication network, communicate with the energy storage equipment through the energy storage equipment communication network, and may communicate with the host computer workstation, the new energy power prediction system, and the new energy monitoring system. The station control system realizes active power control, reactive voltage control, primary frequency modulation, and inertia response control by controlling the new energy power generation equipment. The new energy power prediction system can send new energy power prediction data to the power grid dispatching system in the dispatching control layer. The new energy monitoring system can detect the operating status of new energy power generation equipment in real time, and can control the new energy power generation equipment on site. The dispatching control layer may include AGC (automatic generation control), AVC (automatic voltage control) and the power grid dispatching system. AGC sends the active power dispatching plan value to the station control system to realize active power dispatching. At the same time, it can also communicate directly with the EMS of the energy storage equipment to realize direct control of energy storage. AVC sends voltage and reactive power instructions to the station control system to realize reactive voltage control. The power grid dispatching system sends active power instructions to AGC according to the needs of power grid dispatching, sends reactive power and voltage instructions to AVC, and receives power prediction data sent by the new energy station power prediction system.

[0031] Refer to the following Figure 2The energy storage peak-shaving method of the new energy station according to the embodiment of the present disclosure is described. The energy storage peak-shaving method can be executed by the station control system, but the present disclosure is not limited to this. For example, the energy storage peak-shaving method can be executed by the host computer workstation. Generally speaking, the cost of absorbing electricity from the power grid is high, so the new energy station will give priority to the electricity generated by the new energy power generation equipment to maintain the power consumption of the station, which is easy to achieve under strong wind conditions. However, under low wind conditions, the new energy station sometimes needs to meet the two cost burdens of energy storage charging peak-shaving to increase the peak-shaving electricity and station electricity consumption, which causes the energy storage charging peak-shaving cost to rise. To this end, it is necessary to reasonably determine the energy storage charging peak-shaving cost. Therefore, the energy storage peak-shaving method is mainly aimed at reasonably determining the energy storage peak-shaving cost when performing energy storage peak-shaving under low wind conditions, while taking into account the determination of the energy storage peak-shaving cost when performing energy storage peak-shaving under strong wind conditions.

[0032] Figure 2 It is a flow chart showing a method for peak-shaving energy storage at a new energy station according to an embodiment of the present disclosure.

[0033] Reference Figure 2 In step S201, an energy storage charging peak-shaving power instruction is received. For example, the energy storage charging peak-shaving power instruction may be received from the power grid dispatching system, wherein the energy storage charging peak-shaving power instruction may instruct the energy storage device to perform the peak-shaving operation of the energy storage charging peak-shaving power P peak .

[0034] Next, in step S202, for each sampling period in the energy storage charging peak-shaving operation time period, the energy storage charging peak-shaving power P indicated by the energy storage charging peak-shaving power instruction is calculated. peak , the power generation power P of the new energy station during the sampling period gen And power consumption P station , determine the operating conditions of the new energy station in each sampling period. According to the embodiments of the present disclosure, since the power generation of the new energy station fluctuates greatly, the operating conditions of the new energy station change rapidly, so it is necessary to determine the operating conditions of the new energy station in each sampling period within the energy storage charging peak load operation time period.

[0035] Specifically, in order to determine the working conditions of the new energy station in each sampling period, the energy storage charging peak load power P can be determined first. peak and the power consumption P of the new energy station during the sampling period station The sum of the values ​​and the power generation power P of the new energy station during the sampling period is determined gen Subtract the first power difference P1 from the sum (ie, P1 = P gen -(P peak +P station)). Then, the operating condition of the new energy 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, it can be determined that the operating condition of the new energy station during the sampling period is a high wind condition, and when the first power difference P1 is less than (or equal to) 0, it can be determined that the operating condition of the new energy station during the sampling period is a low wind condition. Theoretically, due to the large fluctuations in the power generation power of the new energy station, the first power difference P1 will hardly be equal to 0. In other words, when the power generation power of the new energy station is sufficient to meet the electricity demand of the new energy station and energy storage charging peak regulation, it can be determined that the operating condition of the new energy station is a high wind condition, and when the power generation power of the new energy station is insufficient to meet the electricity demand of the new energy station and energy storage charging peak regulation, it can be determined that the operating condition of the new energy station is a low wind condition.

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

[0037] Specifically, when the operating condition of the new energy station is a strong wind condition during a certain sampling period, the peak power P peak The energy storage charging peak load W in the sampling period is determined by the duration of the sampling period (eg, Δt), as shown in the following equation (1).

[0038] W=P peak ·Δt (1)

[0039] Then, the peak load of energy storage charging W, the loss coefficient α and the grid-connected electricity price R of new energy power generation in the sampling period can be used to calculate the peak load of energy storage charging W, the loss coefficient α and the grid-connected electricity price R of new energy power generation in the sampling period. station , determine the energy storage charging peak-shaving cost C of the new energy station during the sampling period △t , as shown in the following equation (2).

[0040] C Δt =W·α·R station (2)

[0041] The reason why equations (1) and (2) are used to determine the energy storage peak-shaving cost is that although the energy storage device does not absorb electricity from the power grid under strong wind conditions, there will be losses in the charging and discharging of the energy storage device. Therefore, it is necessary to reasonably determine the energy storage peak-shaving cost while considering the charging and discharging losses.

[0042] On the other hand, when the operating condition of the new energy station in a certain sampling period is a low wind condition, the power generation power P of the new energy station in the sampling period can be determined. gen And power consumption P station When the power generation power P of the new energy station during the sampling period gen Less than the power consumption P station When the power consumption P of the new energy station during the sampling period is station Subtract the power generation P gen The second power difference P2 and the energy storage charging peak power P peak , determine the energy storage charging peak-shaving cost C of the new energy station during the sampling period △t When the power generation power P of the new energy station during the sampling period gen Greater than or equal to the power consumption P station When the power generation power P of the new energy station in the sampling period is gen Subtract the power consumption P station The third power difference P3 and the energy storage charging peak power P peak , determine the energy storage charging peak-shaving cost C of the new energy station during the sampling period △t .

[0043] Furthermore, based on the power consumption P of the new energy station during the sampling period station Subtract the power generation P gen The second power difference P2 and the energy storage charging peak power P peak , determine the energy storage charging peak-shaving cost C of the new energy station during the sampling period △t When the peak load power P of energy storage charging can be determined first, peak The fourth power difference P4 is obtained by subtracting the second power difference P2. Then, the fourth power difference P4, the duration Δt of the sampling period, and the grid electricity price R of the sampling period can be calculated. grid , determine the energy storage charging peak-shaving cost C of the new energy station during the sampling period △t 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 the power generation power P of the new energy station during the sampling period gen Subtract the power consumption P station The third power difference P3 and the energy storage charging peak power P peak , determine the energy storage charging peak-shaving cost C of the new energy station during the sampling period △t When the peak load power P of energy storage charging can be determined first, peak The fifth power difference value P5 is obtained by subtracting the third power difference value P3. Then, the fifth power difference value P5, the duration Δt of the sampling period, and the grid electricity price R of the sampling period can be used as the basis. grid , determine the first energy storage charging peak load cost C within the sampling period △t1 Then, based on the third power difference P3, the duration Δt of the sampling period, the loss coefficient α, and the grid-connected electricity price R of the new energy power generation in the sampling period, the station , determine the second energy storage charging peak load cost C during the sampling period △t2 Finally, the first energy storage charging peak load cost C in the sampling period can be △t1 and the second energy storage charging peak load cost C △t2 The sum of the energy storage charging peak-shaving cost C of the new energy station during the sampling period is determined as △t 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] Optionally, the energy storage peak-shaving method may further include step S204. In step S204, in response to the energy storage charging peak-shaving power instruction, the energy storage equipment 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, the cost of the new energy station can be controlled by reasonably designing the coordination between the energy storage charging peak-shaving power of the new energy station and the wind farm power under different working conditions. This can avoid the new energy station from bearing the losses caused by the charging of the energy storage equipment and increase the enthusiasm of the new energy station to participate in the peak-shaving.

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

[0054] Reference Figure 3 According to an embodiment of the present disclosure, the energy storage peak-shaving device 300 of the new energy station includes a receiving unit 310, a working condition determination unit 320, and a cost calculation unit 330. The energy storage peak-shaving device 300 can be implemented in the 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 implemented as a separate electronic device.

[0055] The receiving unit 310 may receive an energy storage charging peak-shaving power instruction. The operating condition determination unit 320 may determine the operating 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, and the power generation and power consumption of the new energy station in the sampling period for each sampling period in the energy storage charging peak-shaving operation time period. The cost calculation unit 330 may determine the energy storage charging peak-shaving cost of the new energy station in each sampling period based on the operating condition 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, 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] Optionally, the energy storage peak shaving device 300 may further include a peak shaving control unit 340. The peak shaving control unit 340 may control the energy storage equipment of the new energy station to perform energy storage charging peak shaving operations in response to the energy storage charging peak shaving power instruction.

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

[0058] Further, in response to the first power difference being greater than 0, the operating condition determination unit 320 can determine that the operating condition of the new energy station during the sampling period is a high wind condition; in response to the first power difference being less than 0, the operating condition determination unit 320 can determine that the operating condition of the new energy station during the sampling period is a low wind condition.

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

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

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

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

[0063] Reference Figure 4According to an embodiment of the present disclosure, the computing device 400 may include a processor 410 and a memory 420. The processor 410 may include (but not limited to) a central processing unit (CPU), a digital signal processor (DSP), a microcomputer, a field programmable gate array (FPGA), a system on a chip (SoC), a microprocessor, an application-specific integrated circuit (ASIC), etc. 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] Optionally, the computing device 400 can communicate with each new energy power generation equipment in the new energy equipment layer in a wired / wireless communication manner, and can also communicate with other systems in the new energy station control layer in a wired / wireless communication manner, and / or communicate with each system in the scheduling control layer.

[0065] The energy storage peak-shaving method of the new energy station according to the embodiment 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 computer-readable storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, Blu-ray or optical disk storage, hard disk drive (HDD), solid state drive (SSD), card storage (such as, multimedia card, secure digital (SD) card or extreme digital (XD) card), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk and any other device, any other device is configured to store 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 in a distributed manner by one or more processors or computers.

[0066] According to the energy storage peak-shaving method, device and computer-readable storage medium of the new energy station of the embodiment of the present disclosure, the cost of the new energy station is controlled by reasonably designing the coordination mode of the energy storage charging peak-shaving power and the wind farm power of the new energy station under different working conditions, which can avoid the new energy station from incurring losses caused by the charging of energy storage equipment and improve the enthusiasm of the new energy station to participate in peak-shaving.

[0067] Although some embodiments of the present disclosure have been shown and described, it will be appreciated by those skilled in the art that modifications may be made to the embodiments without departing from the principles and spirit of the present disclosure, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for peak-shaving energy storage at a new energy station, characterized in that: The energy storage peak regulation method comprises: Receive energy storage charging peak load power instruction; 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 instruction, the power generation power and power consumption of the new energy station within the sampling period, determine the operating condition of the new energy station within each sampling period; According to the operating conditions 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 power consumption of the new energy station in each sampling period, the energy storage charging peak-shaving cost of the new energy station in each sampling period is determined, and the energy storage charging peak-shaving cost of the new energy station is determined based on the energy storage charging peak-shaving cost of the new energy station in each sampling period.

2. The energy storage peak-shaving method according to claim 1, characterized in that: The energy storage peak regulation method further comprises: In response to the energy storage charging peak-shaving power instruction, the energy storage equipment of the new energy station is controlled to perform energy storage charging peak-shaving operation.

3. The energy storage peak-shaving method according to claim 1, characterized in that: The steps of determining the operating conditions of the new energy station in each sampling period include: Determine the sum of the energy storage charging peak-shaving power and the power consumption of the new energy station during the sampling period, and determine a first power difference value of the power generation power of the new energy station during the sampling period minus the sum; The operating condition of the new energy station within the sampling period is determined based on the first power difference.

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

5. The energy storage peak-shaving method according to claim 4, characterized in that: The steps of determining the energy storage charging peak-shaving cost of the new energy station in each sampling period include: In response to the operating condition of the new energy station in the sampling period being a strong wind condition, determining the energy storage charging peak-shaving power of the sampling period 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 grid-connected electricity price of new energy power generation during the sampling period, the energy storage charging peak-shaving cost of the new energy station during the sampling period is determined.

6. The energy storage peak-shaving method according to claim 3, characterized in that: The steps of determining the energy storage charging peak-shaving cost of the new energy station in each sampling period include: In response to the operating condition of the new energy station during the sampling period being a low wind condition, determining a magnitude relationship between the power generation and power consumption of the new energy station during the sampling period; In response to the fact that the power generation power of the new energy station is less than the power consumption during the sampling period, based on a second power difference value of the power consumption of the new energy station minus the power generation power during the sampling period and the energy storage charging peak-shaving power, determine the energy storage charging peak-shaving cost of the new energy station during the sampling period; In response to the fact that the power generation power of the new energy station during the sampling period is greater than or equal to the power consumption, the energy storage charging peak-shaving cost of the new energy station during the sampling period is determined based on a third power difference between the power generation power of the new energy station during the sampling period and the power consumption power and the energy storage charging peak-shaving power.

7. An energy storage peak-shaving device for a new energy station, characterized in that: The energy storage peak-shaving device comprises: A receiving unit is configured to: receive an energy storage charging peak load power instruction; The operating condition determination unit is configured to: for each sampling period within the energy storage charging peak-shaving operation time period, determine the operating condition of the new energy station within 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 power and the power consumption power of the new energy station within the sampling period; The cost calculation unit is configured to: determine the energy storage charging peak-shaving cost of the new energy station in each sampling period based on the operating conditions 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 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.

8. The energy storage peak-shaving device according to claim 7, characterized in that: The energy storage peak-shaving device also includes: The peak-shaving control unit is configured to: in response to the energy storage charging peak-shaving power instruction, control the energy storage equipment of the new energy station to perform energy storage charging peak-shaving operation.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the energy storage peak-shaving method of a new energy station as described in any one of claims 1 to 6 is implemented.

10. A computing device, characterized in that: The computing device comprises: Processor; and A memory storing a computer program, which, when executed by a processor, implements the energy storage peak-shaving method of a new energy station as described in any one of claims 1 to 6.

Images