Energy consumption optimization management method, system and equipment for off-grid power supply period of wind power storage backup power supply and medium

Abstract

The invention provides an energy consumption optimization management method, system, equipment and medium for a wind power energy storage backup power supply in an off-grid power supply period, and the method comprises the following steps: 1, obtaining an operation state of an energy storage backup power supply corresponding to a target wind turbine generator, and when the energy storage backup power supply is in a discharge state, starting the target wind turbine generator; calculating dischargeable time corresponding to the energy storage backup power supply; step 2, according to the obtained dischargeable time, reducing a power supply window of each electric device of the target wind turbine generator; 3, calculating the available backup hours corresponding to the energy storage backup power supply according to the reduced power supply window; 4, adjusting a power supply window of each electric device of the target wind turbine generator according to the obtained available backup hours; the method can prolong the off-grid power supply time of the wind turbine generator, reduce the over-discharge frequency of the energy storage system, prolong the service life of the backup energy storage system, and provide reference for capacity configuration of the energy storage system in the design stage.

Description

Technical Field

[0001] The present invention belongs to the field of new energy power, and specifically relates to a method, system, equipment and medium for optimizing energy consumption management during off-grid power supply of a wind power energy storage backup power supply. Background Art

[0002] The integration of large-scale distributed wind and solar energy into the power grid can replace some traditional power plants and increase the proportion of renewable energy generation, thereby alleviating environmental pollution problems such as greenhouse gas emissions. As the installed capacity of China's coastal wind turbines and offshore wind turbines in typhoon areas increases, the range of wind turbines severely affected by typhoons is also increasing. The yaw system is one of the main equipment of a wind turbine. Although the operating power of the yaw motor is not large, once it fails to operate, the unit will not be able to quickly and smoothly face the wind when the direction of the wind speed vector changes, increasing the extreme load and fatigue load, and greatly increasing the risk of wind turbine tower collapse.

[0003] From the perspective of wind turbine equipment selection and design, wind power design should take into account the severe working conditions caused by power outages in the external power grid and power failures in the on-site backup mains during typhoons. Each wind turbine should be equipped with a distributed energy storage system for backup power supply to the unit. This can ensure the normal operation of the wind turbine control system and yaw, pitch control and other systems in the event of a power outage in the external power grid or a power failure in the entire field during a typhoon. Within a certain yaw error range, the design load of the blades and tower can be effectively reduced, thereby improving the overall reliability of the wind turbine and reducing the design margin of wind turbines in typhoon areas.

[0004] When a typhoon comes and the wind farm is out of power, the wind turbine is in an off-grid operation state. Relying on a distributed energy storage system to provide backup power for the wind turbine yaw system can ensure the normal operation of the system, effectively reduce the load of the unit, and avoid disasters such as tower collapse caused by the typhoon. When the wind turbine is off-grid, it is necessary to ensure the power supply of yaw, pitch, communication and other systems until it is reconnected to the grid. From the perspective of ensuring the safety of wind turbines, in extreme weather such as typhoons, if the power system of the wind farm is disconnected from the grid, the lines of each unit and the booster station are disconnected, etc., in this case, it is necessary to ensure the power supply of equipment such as the yaw and personnel lifting system of each wind turbine to avoid the unit being continuously subjected to large loads, the cabin swinging greatly, and the wind rotor being unable to adjust to the wind. From the perspective of personnel safety, the sudden power outage that causes the lifting system to be suspended brings corresponding work hazards, so it is more necessary to provide emergency power for the lifting system of each unit by the energy storage backup power supply. When a wind turbine is operating off-grid, it is necessary to coordinate the power consumption and power priority of each subsystem within the unit to ensure that the power supply duration meets the requirements of safely and stably crossing the off-grid period. However, there is currently no mature energy consumption optimization management method applied to wind power distributed energy storage during off-grid power supply.

[0005] Against the backdrop of the increasing installed capacity of my country's coastal wind turbines and offshore wind turbines in typhoon areas, the off-grid energy consumption optimization management method aimed at extending the off-grid power supply time of wind turbines will have increasingly important market value.

[0006] At present, the backup power supply of wind turbines often uses diesel generators, which are installed externally on the wind turbine foundation platform. There are the following problems: diesel generators have high fuel consumption, low energy efficiency, high pollutant emissions, and a large amount of equipment maintenance work in the later stage. In coastal and offshore wind power project applications, diesel generators are more restricted by factors such as transportation conditions, offshore diesel supervision, and emission control. Using distributed energy storage systems as backup power supplies for wind turbines can solve the problem of pollutant emissions, and can also provide remote monitoring functions, which is convenient for maintenance and management. It is a more advanced and economical backup power supply solution. From the perspective of existing distributed energy storage system technology, the power supply management during off-grid operation is not sophisticated enough, and the control strategy is relatively extensive, which makes it easy to consume all stored electricity before the end of the off-grid period. Summary of the invention

[0007] The purpose of the present invention is to provide a method, system, device and medium for optimizing the management of energy consumption during off-grid power supply of a wind power energy storage backup power supply, which solves the problem that the power supply management of the existing distributed energy storage system during off-grid operation is not sophisticated enough, the control strategy is relatively extensive, and it is easy to consume all the stored electric energy before the end of the off-grid period.

[0008] In order to achieve the above object, the technical solution adopted by the present invention is:

[0009] The present invention provides a method for optimizing energy consumption management during off-grid power supply of a wind power energy storage backup power supply, comprising the following steps:

[0010] Step 1, obtaining the operating state of the energy storage backup power supply corresponding to the target wind turbine group, wherein when the energy storage backup power supply is in a discharging state, calculating the dischargeable time corresponding to the energy storage backup power supply;

[0011] Step 2, shortening the power supply window of each power-consuming device of the target wind turbine group according to the obtained dischargeable time;

[0012] Step 3, calculating the available backup hours corresponding to the energy storage backup power supply according to the reduced power supply window;

[0013] Step 4: adjust the power supply window of each power-consuming device of the target wind turbine group according to the obtained available backup hours.

[0014] Preferably, in step 1, the dischargeable time corresponding to the energy storage backup power supply is calculated, and the specific method is:

[0015] Count the average power of each electrical equipment of the target wind turbine group within the set time T;

[0016] The average power obtained is combined with the current power supply window width of each power-consuming device to calculate the average operating power corresponding to each power-consuming device;

[0017] Estimate the power consumption of all electrical devices in the current calculation cycle based on the average operating power corresponding to each electrical device;

[0018] The discharge time is calculated based on the current power generation of the unit, the current maximum active power of the energy storage backup power supply, the power consumption of the electrical equipment, and the remaining power of the energy storage backup system.

[0019] Preferably, in step 2, the power supply window of each power-consuming device of the target wind turbine group is shortened according to the obtained dischargeable time, and the specific method is:

[0020] When the dischargeable time is less than the set threshold, the power consumption of each power-consuming device of the target wind turbine group within the set time period T is obtained;

[0021] Sort all power-consuming devices in descending order of power consumption to obtain a list of power-consuming devices;

[0022] According to the order of the power consumption devices in the list, it is determined whether the power supply window width of each power consumption device has reached the minimum power supply window width, and the power supply window of the power consumption device is reduced according to the determination result, wherein:

[0023] If the current power supply window width of the i-th power-consuming device is greater than the minimum power supply window width, the power supply window width of the i-th power-consuming device is reduced to a set value;

[0024] If the current power supply window width of the i-th power-consuming device is equal to the minimum power supply window width, the power supply window width of the i-th power-consuming device remains unchanged.

[0025] Preferably, the setting value is wid i -Δwid, where Δwid is the modification increment of the power supply window width. This application gradually reduces the power supply width; wid i The power supply window width for each electrical device.

[0026] Preferably, in step 4, the power supply window of each power-consuming device of the target wind turbine group is adjusted according to the obtained available backup hours, and the specific method is:

[0027] Compare the resulting available backup hours to the expected available backup time, where:

[0028] When the available backup hours are less than the expected available backup time, return to step 3;

[0029] When the available backup hours are greater than the expected available backup time and the remaining power of the energy storage backup power supply meets the preset conditions, the power supply window width of each power consumer is increased until the power supply window width of all power consumers is equal to 1.

[0030] Preferably, in step 4, the power supply window of each power-consuming device of the target wind turbine group is adjusted according to the obtained available backup hours, and the specific method is:

[0031] Compare the resulting available backup hours to the expected available backup time, where:

[0032] When the available backup hours are less than the expected available backup time, return to step 3;

[0033] When the available backup hours are greater than the expected available backup time and the remaining power of the energy storage backup power supply meets the preset conditions, the power supply window width of each power-consuming device is increased until the available backup hours of the energy storage backup power supply are close to the expected available backup time.

[0034] An energy consumption optimization management system for wind power energy storage and backup during off-grid operation, comprising:

[0035] A dischargeable time calculation unit is used to obtain the operating state of the energy storage backup power supply corresponding to the target wind turbine group, wherein when the energy storage backup power supply is in a discharging state, the dischargeable time corresponding to the energy storage backup power supply is calculated;

[0036] A power supply window reduction unit, used to reduce the power supply window of each power-consuming device of the target wind turbine group according to the obtained dischargeable time;

[0037] An available backup hours calculation unit, used to calculate the available backup hours corresponding to the energy storage backup power supply according to the reduced power supply window;

[0038] The power supply window adjustment unit is used to adjust the power supply window of each power-consuming device of the target wind turbine group according to the obtained available backup hours.

[0039] A computer device comprising:

[0040] a processor suitable for executing a computer program;

[0041] A computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method described is performed.

[0042] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0043] A computer program product comprises a computer program, wherein the computer program implements the method when executed by a processor.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention provides an energy consumption optimization management method during off-grid operation of wind power energy storage backup power. Based on the current wind conditions and wind power forecasts, combined with the importance of various power loads, the available hours are calculated, and according to the actual charge state of the energy storage system, the relevant self-consumption records of wind farm units monitored by SCADA and the power consumption records of substations are collected to determine the allocation weight and power supply opening time. The method can extend the off-grid power supply time of wind turbines, reduce the number of over-discharges of the energy storage system, extend the life of the backup energy storage system, and can also provide a reference for the capacity configuration of the energy storage system in the design stage.

[0046] The present invention provides a device energy consumption adjustment method for controlling and extending the available backup time for a wind power energy storage backup system, which can increase the operating time of the existing energy storage backup system. It can help reduce the configuration cost of the energy storage backup system during the unit design stage, and can help extend the backup operation time and enhance the safety of off-grid operation during the station operation stage, thereby improving the overall economic benefits of wind farm operation. This method has strong operational reliability and stability, and even if individual actuators in the system fail, it can still continue to function by controlling other devices.

[0047] The method of the present invention will have increasingly important significance against the background of the gradual increase in the number of wind power energy storage backup system equipment and the continuous expansion of the scale of new energy stations in coastal areas affected by typhoons. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is the overall framework of energy consumption optimization management method.

[0049] Figure 2 It is a schematic diagram of the device power supply window width. DETAILED DESCRIPTION

[0050] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0051] From the perspective of wind power operation safety, when a wind turbine is off-grid, it is necessary to ensure the power supply of systems such as yaw, pitch control, and communication until it is reconnected to the grid. The backup power supply of a wind turbine can provide independent, long-term, and high-power backup power support for a single wind turbine in a timely manner. It can provide rapid backup support for the unit under extreme and emergency conditions such as power transmission line disconnection, and can enable some units to form a small microgrid to enhance the safety margin of the unit. In addition, when the booster station is disconnected from the grid, the microgrid composed of the unit and various backup power supplies can provide power for the station equipment and living areas.

[0052] In off-grid operation, the amount of energy storage is often passively controlled, and there is a lack of fine management of the power consumption of the equipment. Therefore, in order to ensure the safety of off-grid operation and extend the backup time, it is necessary to calculate the available backup hours based on wind power forecasts and real-time data of wind turbines and energy storage, the importance of electrical equipment, and the real-time power consumption of electrical equipment. Ultimately, the backup time can be extended by controlling the use of each electrical equipment. Existing wind power energy storage backup power control mainly focuses on energy storage pre-charging, power limit control, etc. The technical route of this method is to dynamically evaluate the system power consumption, optimize the equipment power supply time, and achieve extended unit backup time.

[0053] This application needs to obtain the real-time active power output value of the wind turbine, as well as the predicted power data at the current time and for a period of time in the future; based on the acquired data, the available backup hours of the energy storage backup system are calculated, and then the power supply window width of each electrical equipment is calculated and sent to the electrical equipment controller for execution.

[0054] This application adopts a method to calculate the available backup hours by combining the wind power forecast trend with the actual power of the power-consuming equipment. In a working cycle, the available backup hours are calculated based on the wind power forecast and the current equipment power consumption detection results, and then the goal of extending the available backup hours is achieved by adjusting the power supply time interval of each power-consuming equipment.

[0055] Example 1

[0056] like Figure 1 to Figure 2 As shown, the present embodiment provides a method for optimizing energy consumption management during off-grid operation of wind power energy storage backup power, comprising the following steps:

[0057] Step 1: Collect the current power generation power P of the target wind turbine w and the current maximum active power P of the energy storage backup power supply s ;

[0058] Statistical target wind turbine group current power consumption of all electrical equipment P c ;

[0059] Step 2, when P w +P s >Pc And P s >0, go to step 3, otherwise end;

[0060] Step 3: According to the previous maximum active power P corresponding to the energy storage backup power supply s The SOC corresponding to the energy storage backup power supply is used to calculate the discharge time of the energy storage backup power supply;

[0061] Step 3, comparing the obtained dischargeable time with a set threshold, wherein when the dischargeable time is less than the set threshold, proceed to step 4; otherwise, return to step 1;

[0062] Step 4, obtaining the power consumption of each power-consuming device of the target wind turbine group within the set time period T; sorting all power-consuming devices in descending order of power consumption to obtain a list of power-consuming devices;

[0063] Step 5: Determine the power supply window width wid of each power-consuming device according to the order in the power-consuming device list i Has the minimum power supply window width widmin been reached? i , shorten the power supply window for electrical equipment based on the judgment result; where:

[0064] If the current power supply window width wid of the i-th power-consuming device i >widmin i , then the power supply window of the i-th power-consuming device is reduced to wid i -Δwid, where Δwid is the modification increment of the power supply window width, and the present application gradually reduces the power supply width;

[0065] If the current power supply window width wid of the i-th power-consuming device i =widmin i , then the power supply window width of the i-th power consumer remains unchanged, and the next power consumer is processed.

[0066] Step 6, using the reduced power supply window width of the power-consuming equipment to calculate the available backup hours h corresponding to the energy storage backup power supply;

[0067] Step 7, compare the obtained available backup hours with the expected available backup time H, and reduce the power supply window for the application electrical equipment according to the judgment result; wherein:

[0068] When the available backup hours h is less than the expected available backup time H, return to step 4;

[0069] When the available backup hours h is greater than the expected available backup time H, and the remaining power of the energy storage backup power supply meets the preset conditions, the power supply window width of each power consumer is gradually increased until the power supply window width of all power consumers is equal to 1 or the available backup hours are close to the expected available backup time.

[0070] Example 2

[0071] On the basis of Example 1, this embodiment provides a method for optimizing energy consumption management during off-grid operation of wind power energy storage backup power. In step 3, the dischargeable time of the energy storage backup power supply is calculated. The specific method is:

[0072] Count the average power of each current electrical device within the set time T;

[0073] The average power obtained is combined with the current power supply window width of each power-consuming device to calculate the average operating power corresponding to each power-consuming device;

[0074] Estimate the power consumption of all electrical devices in the current calculation cycle based on the average operating power corresponding to each electrical device;

[0075] The discharge time is calculated based on the current power generation of the unit, the current maximum active power of the energy storage backup power supply, the power consumption of the electrical equipment, and the remaining power of the energy storage backup system.

[0076] Example 3

[0077] On the basis of Example 1, this embodiment provides a method for optimizing energy consumption management during off-grid operation of wind power energy storage and backup power. In step 5, the power supply window width is:

[0078] The time period during which each power-consuming device of the target wind turbine group is in operation within the set time T is set as the power supply window, and the proportion of the power supply window to the set time T is set as the power supply window width. The expression of the power supply window width wid is as follows:

[0079]

[0080] Among them, t1 is the time period during which each electrical device is in the operating state within the set time T; t0 is the time period during which each electrical device is in the standby or closed state within the set time T.

[0081] Example 4

[0082] This embodiment takes a wind farm G with a wind turbine configured with supercapacitor backup energy storage as an example to describe the application scheme and effect of the method proposed in the present invention. Wind farm G is a wind farm in the coastal area with an installed capacity of 50MW. When a typhoon hits, the wind farm needs to operate off-grid for a period of time, and the power of the backup power supply needs to ensure the power supply of the equipment during the off-grid operation. A wind energy storage management system for the energy consumption control program of the wind farm energy storage backup system is installed in the station, and the corresponding off-grid operation equipment power supply energy consumption optimization management strategy is deployed in the wind energy storage management system. The wind energy storage management system cooperates with the wind power monitoring system to realize equipment energy consumption management. An electronic switch or remote circuit breaker is installed at the power input end of each electrical equipment to cooperate with the wind energy storage management system to realize equipment energy consumption control.

[0083] The wind energy storage management system needs to obtain the real-time active data output value P of the wind farm from the background of the wind power monitoring system. w , the current active power P of the energy storage backup power supply s The detection action and the corresponding control calculation are set to be executed every 5 minutes. The off-grid operation time of wind farm G is set to 10 hours, and the action trigger threshold h of energy consumption management is set to 10 hours. t Set to 15 hours, and the expected available backup time H is set to 12h.

[0084] If in the current control cycle, the detection finds that P s ≤0, it means that the energy storage backup power supply in the system is being charged or not being used, and the control cycle will be terminated in advance. s >0, indicating that the energy storage backup power supply in the system is discharging, and then the program enters the next step to calculate the estimated discharge time. At the beginning of this stage, based on the discharge power and SOC of the energy storage backup power supply, the estimated discharge time h is estimated to be 11 hours, which is less than the threshold h set for the action trigger. t =15 hours.

[0085] Subsequently, the energy management system starts the device energy consumption management process, counts the active power of the current power-consuming devices, and obtains the power-consuming device queue according to the power consumption from large to small. The power-consuming device queue is visited cyclically in the device energy consumption management process, and the power-consuming devices in the queue are processed one by one. When accessing and controlling the first device, its power supply window width wid1 is greater than the minimum power supply window width widmin1 of the device, so based on wid1, try to reduce the window width by 10% and recalculate the system power consumption P c The recalculated available backup hours h is still less than the expected available backup time H, and it is determined whether the power supply window width of the power consumption device 1 can be further reduced until the power supply window width is equal to the minimum power supply window width widmin1.

[0086] In this embodiment, the minimum power supply window width of device 1 is 60%, and the available backup hours h calculated using this data is still less than the expected available backup time H. Therefore, in the power consumption management process of power consumption equipment, the next power consumption equipment in the queue is processed, the power supply window width is reduced and the corresponding available backup hours h are calculated until h is greater than or equal to the expected available backup time H. In this control cycle, when the calculation loop reaches the fifth device, the calculation result shows that the system condition h≥H is met, then the control loop is exited, and the subsequent power consumption equipment in the queue is not processed.

[0087] Finally, in the control cycle, according to the power supply window width of each device, the input power switch of each device is operated to realize energy consumption control. After all the above work is completed, the next control cycle is entered to continue to detect power generation and power consumption data.

[0088] Example 5

[0089] This embodiment provides an energy consumption optimization management system for wind power energy storage and backup power during off-grid operation, including:

[0090] A dischargeable time calculation unit is used to obtain the operating state of the energy storage backup power supply corresponding to the target wind turbine group, wherein when the energy storage backup power supply is in a discharging state, the dischargeable time corresponding to the energy storage backup power supply is calculated;

[0091] A power supply window reduction unit, used to reduce the power supply window of each power-consuming device of the target wind turbine group according to the obtained dischargeable time;

[0092] An available backup hours calculation unit, used to calculate the available backup hours corresponding to the energy storage backup power supply according to the reduced power supply window;

[0093] The power supply window adjustment unit is used to adjust the power supply window of each power-consuming device of the target wind turbine group according to the obtained available backup hours.

[0094] Example 6

[0095] This embodiment 6 provides a computer device, including: a memory for storing a computer program; and a processor for implementing the steps of a computer method when executing the computer program.

[0096] When the processor executes the computer program, the steps of the above computer method are implemented.

[0097] Alternatively, the processor implements the functions of each module in the above system when executing the computer program,

[0098] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The computer device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above are examples of computer devices and do not constitute a limitation on computer devices. The computer device may include more components than the above, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0099] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the computer device, and uses various interfaces and lines to connect various parts of the entire computer device.

[0100] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0101] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0102] Example 7

[0103] This embodiment 7 also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method described are implemented.

[0104] If the module / unit integrated in the computer system is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0105] Based on such understanding, the present invention implements all or part of the processes in the above method, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above computer method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or preset intermediate form, etc.

[0106] The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0107] It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electrical carrier signals and telecommunication signals.

[0108] Example 8

[0109] This embodiment 8 provides a computer product, which includes a computer program, and the computer program is stored in a computer-readable storage medium; the processor of the computer device reads the computer program from the computer-readable storage medium, and the processor executes the computer program, so that the computer device can execute the method in embodiment 1, which will not be repeated here.

[0110] It should be noted that a person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods.

[0111] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for optimizing energy consumption during off-grid operation of wind power energy storage and backup power, characterized in that: The following steps are involved: Step 1, obtaining the operating state of the energy storage backup power supply corresponding to the target wind turbine group, wherein when the energy storage backup power supply is in a discharging state, calculating the dischargeable time corresponding to the energy storage backup power supply; Step 2, shortening the power supply window of each power-consuming device of the target wind turbine group according to the obtained dischargeable time; Step 3, calculating the available backup hours corresponding to the energy storage backup power supply according to the reduced power supply window; Step 4: adjust the power supply window of each power-consuming device of the target wind turbine group according to the obtained available backup hours.

2. The method for optimizing energy consumption during off-grid operation of wind power energy storage and backup according to claim 1, characterized in that: In step 1, the discharge time corresponding to the energy storage backup power supply is calculated. The specific method is: Count the average power of each electrical equipment of the target wind turbine group within the set time T; The average power obtained is combined with the current power supply window width of each power-consuming device to calculate the average operating power corresponding to each power-consuming device; Estimate the power consumption of all electrical devices in the current calculation cycle based on the average operating power corresponding to each electrical device; The discharge time is calculated based on the current power generation of the unit, the current maximum active power of the energy storage backup power supply, the power consumption of the electrical equipment, and the remaining power of the energy storage backup system.

3. The method for optimizing energy consumption during off-grid operation of wind power energy storage and backup according to claim 1, characterized in that: In step 2, the power supply window of each power-consuming device of the target wind turbine group is shortened according to the obtained dischargeable time. The specific method is: When the dischargeable time is less than the set threshold, the power consumption of each power-consuming device of the target wind turbine group within the set time period T is obtained; Sort all power-consuming devices in descending order of power consumption to obtain a list of power-consuming devices; According to the order of the power consumption devices in the list, it is determined whether the power supply window width of each power consumption device has reached the minimum power supply window width, and the power supply window of the power consumption device is reduced according to the determination result, wherein: If the current power supply window width of the i-th power-consuming device is greater than the minimum power supply window width, the power supply window width of the i-th power-consuming device is reduced to a set value; If the current power supply window width of the i-th power-consuming device is equal to the minimum power supply window width, the power supply window width of the i-th power-consuming device remains unchanged.

4. The method for optimizing energy consumption during off-grid operation of wind power energy storage and backup power according to claim 3, characterized in that: The setting value is wid i -Δwid, where Δwid is the modification increment of the power supply window width. This application gradually reduces the power supply width; wid i The power supply window width for each electrical device.

5. The method for optimizing energy consumption during off-grid operation of wind power energy storage and backup power according to claim 1, characterized in that: In step 4, the power supply window of each power-consuming device of the target wind turbine is adjusted according to the available backup hours obtained. The specific method is: Compare the resulting available backup hours to the expected available backup time, where: When the available backup hours are less than the expected available backup time, return to step 3; When the available backup hours are greater than the expected available backup time and the remaining power of the energy storage backup power supply meets the preset conditions, the power supply window width of each power consumer is increased until the power supply window width of all power consumers is equal to 1.

6. The method for optimizing energy consumption during off-grid operation of wind power energy storage and backup power according to claim 1, characterized in that: In step 4, the power supply window of each power-consuming device of the target wind turbine is adjusted according to the available backup hours obtained. The specific method is: Compare the resulting available backup hours to the expected available backup time, where: When the available backup hours are less than the expected available backup time, return to step 3; When the available backup hours are greater than the expected available backup time and the remaining power of the energy storage backup power supply meets the preset conditions, the power supply window width of each power-consuming device is increased until the available backup hours of the energy storage backup power supply are close to the expected available backup time.

7. An energy consumption optimization management system for wind power energy storage and backup during off-grid operation, characterized in that: include: A dischargeable time calculation unit is used to obtain the operating state of the energy storage backup power supply corresponding to the target wind turbine group, wherein when the energy storage backup power supply is in a discharging state, the dischargeable time corresponding to the energy storage backup power supply is calculated; A power supply window reduction unit, used to reduce the power supply window of each power-consuming device of the target wind turbine group according to the obtained dischargeable time; An available backup hours calculation unit, used to calculate the available backup hours corresponding to the energy storage backup power supply according to the reduced power supply window; The power supply window adjustment unit is used to adjust the power supply window of each power-consuming device of the target wind turbine group according to the obtained available backup hours.

8. A computer device, characterized in that: include: a processor suitable for executing a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the method according to any one of claims 1 to 6 is performed.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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