Electric hydrogen charging and discharging synchronous index prediction method and system based on electric hydrogen energy storage coordination

Abstract

The invention relates to an electricity hydrogen energy storage coordination-based electricity hydrogen charging and discharging synchronization index prediction method, and belongs to the technical field of power distribution network energy storage, and the method comprises the steps: 1, obtaining an electricity hydrogen energy storage coordination-based electricity hydrogen charging and discharging synchronization index at a tjnecc moment; 2, measuring charge state data of the electro-hydrogen energy storage system; 3, carrying out data normalization processing; step 4, acquiring an influence factor # imgabs0 #; step 5, acquiring an influence factor # imgabs1 # of the discharge power of the electric hydrogen energy storage system of the distribution network on the charge state of the electric hydrogen energy storage system at the tjnecc moment; step 6, acquiring a predicted value of a normalized value; and step 7, obtaining an electric hydrogen charging and discharging synchronization index # imgabs2 # based on electric hydrogen energy storage coordination at the tjn + 1 moment, and setting the capacity of the energy storage system according to the EUcd and # imgabs3 #. According to the method, the planned capacity of the distribution network storage battery energy storage system and the planned capacity of the hydrogen energy storage system are adjusted according to the predicted value of the electric hydrogen charging and discharging synchronous index based on electric hydrogen energy storage coordination, and then the problem of unreliable power supply caused by stabilizing fluctuation and mismatching of the electric hydrogen energy storage system and the load is solved.

Description

Technical Field

[0001] The present invention relates to the field of distribution network energy storage technology, and in particular to a method and system for predicting an electric-hydrogen charging and discharging energy synchronization index based on electric-hydrogen energy storage coordination. Background Art

[0002] Driven by the "dual carbon" goal, single hydrogen energy storage is still difficult to meet the various requirements of the power system. Hybrid energy storage systems with electric hydrogen energy storage as the main body are developing day by day. Issues surrounding the system architecture, energy management and optimized operation of hybrid energy storage have attracted much attention. In order to solve the mismatch between the electric hydrogen energy storage system and the load and to smooth the volatility brought by new energy sources such as wind power and photovoltaics, it is urgent to study the coordinated planning of electric hydrogen energy storage in the distribution network.

[0003] In view of this, the present invention provides a method and system for predicting the electric-hydrogen charging and discharging energy synchronization index based on electric-hydrogen energy storage coordination, so as to meet and improve the level of energy planning and operation control of electric-hydrogen energy storage in actual distribution networks. Summary of the invention

[0004] The present invention provides a method and system for predicting an electric-hydrogen charging and discharging synchronization index based on electric-hydrogen energy storage coordination. The method and system adjust the planned capacity of a distribution network battery energy storage system and a hydrogen energy storage system by predicting the value of the electric-hydrogen charging and discharging synchronization index based on electric-hydrogen energy storage coordination, thereby solving the problem of smoothing fluctuations and unreliable power supply caused by mismatch between the electric-hydrogen energy storage system and the load.

[0005] A method for predicting an electric hydrogen charging and discharging energy synchronization index based on electric hydrogen energy storage coordination, the method comprises the following steps:

[0006] Step 1: Get tj necc The EU energy synchronization index of electric hydrogen charging and discharging based on the coordination of electric hydrogen energy storage at all times cd ;

[0007] Step 2: Measure the charge state data of the electric hydrogen energy storage system;

[0008] Step 3: Data normalization;

[0009] Step 4: Get tj necc Influencing factors of charging power of electric hydrogen energy storage system in distribution network on the charge state of electric hydrogen energy storage system

[0010] Step 5: Get tj necc Influencing factors of the discharge power of the electric hydrogen energy storage system in the distribution network on the charge state of the electric hydrogen energy storage system

[0011] Step 6: Get tj n+1The predicted values ​​of the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the normalized value of the hydrogen-to-power efficiency at each moment;

[0012] Step 7: Get TJ n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times

[0013] According to the EU cd and Set the energy storage system capacity.

[0014] Preferably, in step 1,

[0015]

[0016] Where tj1, tj2, ..., tj necc ,...tj n is a moment of n fixed time intervals, n is a natural number, necc is a natural number and belongs to n, n=1,2,…, SOC HE is the charge state of the hydrogen energy storage device in the distribution network, P egl,max for tj1,tj2,...,tj necc ,...tj n The maximum value of the total load power of the distribution network during these n fixed time intervals, P egl,max For tj necc Total load power of distribution network at the moment, P ess,max for tj1,tj2,...,tj necc ,...tj n The maximum value of the charging power of the distribution network hydrogen energy storage system at these n fixed time intervals, P ess,necc For tj necc The charging power of the hydrogen energy storage system in the power distribution network at any moment, P hss,max for tj1,tj2,...,tj necc ,…tj n The maximum discharge power of the distribution network hydrogen energy storage system at these n fixed time intervals, P hss,necc For tj necc The discharge power of the hydrogen energy storage system in the distribution grid at any time, For tj necc The efficiency of electricity to hydrogen at any time, For tj necc The hydrogen-to-electricity efficiency at each moment.

[0017] Preferably, in step 2,

[0018] At n fixed time intervals tj1, tj2, ..., tj necc ,…tjn , measure the real-time data of the charge state of the electric hydrogen energy storage system and establish a time series;

[0019] The time series is expressed as:

[0020]

[0021] Preferably, in step 3,

[0022] Normalize the data in the time series to obtain tj necc Normalized value of total load power of distribution network at any moment Normalized value of charging power of hydrogen energy storage system in distribution network at any moment tj necc Normalized value of the discharge power of the hydrogen energy storage system in the distribution network at any moment tj necc Normalized value of the electro-to-hydrogen efficiency at time tj necc Normalized value of hydrogen-to-electricity efficiency at time

[0023]

[0024] Where P egl,max , P ess,max , P hss,max , η eth,max , η hte,max They are the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj1, tj2, ..., tj necc ,…tj n The maximum value among the measured values ​​at these n fixed time intervals; egl,min , P ess,min , P hss,min , η eth,min , η hte,min They are the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj1, tj2, ..., tj necc ,…tj n The minimum value among the measured values ​​at these n fixed time intervals.

[0025] Preferably, in step 4,

[0026]

[0027] Where P' egl,tjnecc is the normalized value of the total load power of the distribution network, P' ess,tjneccis the normalized value of the charging power of the distribution network electric hydrogen energy storage system, is the normalized value of the electro-to-hydrogen efficiency, is the normalized value of hydrogen-to-electricity efficiency.

[0028] Preferably, in step 5,

[0029]

[0030] Where ln is the natural logarithm and sin is the sine function.

[0031] Preferably, in step 6,

[0032]

[0033] In the formula, the transposed matrix is the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj n+1 The normalized value prediction matrix of the data at the moment;

[0034] The data of total load power of distribution network, charging power of distribution network electric hydrogen energy storage system, discharging power of distribution network electric hydrogen energy storage system, power-to-hydrogen efficiency and hydrogen-to-power efficiency are in tj1, tj2, ..., tj necc ,...,tj n The normalized value matrix of the measured data is obtained by measuring and calculating at these n fixed time intervals.

[0035] Preferably, in step 7,

[0036]

[0037] In the formula, For tj n+1 The normalized value of the total load power of the distribution network at the moment, For tj n+1 The normalized value of the charging power of the hydrogen energy storage system in the distribution network at any given moment. For tj n+1 The normalized value of the discharge power of the hydrogen energy storage system in the distribution network at that moment, For tj n+1 The normalized value of the electro-to-hydrogen efficiency at the moment; For tj n+1 The normalized value of hydrogen-to-electricity efficiency at the time.

[0038] Preferably, if tj is calculated n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is less than or equal to 0.326, the planned capacity of the distribution network battery energy storage system needs to be increased, and the planned capacity of the distribution network hydrogen energy storage system remains unchanged; if the calculated tj n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is greater than 0.326 and less than or equal to 0.733, the planned capacity of the distribution network battery energy storage system and the hydrogen energy storage system remains unchanged; if the calculated tj n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is greater than 0.733, the planned capacity of the distribution network hydrogen energy storage system will be increased, while the planned capacity of the distribution network battery energy storage system will remain unchanged.

[0039] A computer storage system comprises a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the processor implements a method for optimizing the configuration of energy storage capacity of a distribution network electric hydrogen charging station when executing the computer program.

[0040] Beneficial effects:

[0041] The beneficial effects of the present invention are as follows: in order to coordinate the planned capacity of the electric hydrogen energy storage system, the present invention provides a method for predicting the electric hydrogen charging and discharging synchronization index based on electric hydrogen energy storage coordination, by monitoring the charge state data of the electric hydrogen energy storage system, and according to the influence of the charging power of the distribution network electric hydrogen energy storage system and the discharging power of the distribution network electric hydrogen energy storage system on the charge state data of the electric hydrogen energy storage system, the predicted value of the normalized value of the charge state data of the electric hydrogen energy storage system at the next moment is calculated, and then the electric hydrogen charging and discharging synchronization index based on the electric hydrogen energy storage coordination at the next moment is accurately calculated. Through the size of the index prediction value, the planned capacity of the distribution network battery energy storage system and the hydrogen energy storage system is reasonably adjusted, and the operation stability and control level of the distribution network battery energy storage system are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Schematic diagram of a method for predicting an electric-hydrogen charging and discharging energy synchronization index based on electric-hydrogen energy storage coordination according to an embodiment of the present invention.

[0043] Figure 2 Schematic diagram of the computer storage medium structure according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0045] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0046] Example 1

[0047] like Figure 1 As shown, a method for predicting the electric hydrogen charging and discharging energy synchronization index based on electric hydrogen energy storage coordination includes the following steps:

[0048] Step 1: Get tj necc The EU energy synchronization index of electric hydrogen charging and discharging based on the coordination of electric hydrogen energy storage at all times cd ,

[0049]

[0050] Where tj1, tj2, ..., tj necc ,…tj n is a moment of n fixed time intervals, n is a natural number, necc is a natural number and belongs to n, n=1,2,…, SOC HE is the charge state of the hydrogen energy storage device in the distribution network, P egl,max for tj1,tj2,...,tj necc ,...tj n The maximum value of the total load power of the distribution network during these n fixed time intervals, P egl,max For tj necc Total load power of distribution network at the moment, P ess,max for tj1,tj2,...,tj necc ,…tj n The maximum value of the charging power of the distribution network hydrogen energy storage system at these n fixed time intervals, P ess,necc For tj necc The charging power of the hydrogen energy storage system in the power distribution network at any moment, P hss,max for tj1,tj2,...,tj necc ,…tj n The maximum discharge power of the distribution network hydrogen energy storage system at these n fixed time intervals, P hss,necc For tj necc The discharge power of the hydrogen energy storage system in the distribution grid at any time, For tj necc The efficiency of electricity to hydrogen at any time, For tj necc The hydrogen-to-electricity efficiency at each moment.

[0051] Step 2: Measure the charge state data of the electric hydrogen energy storage system.

[0052] At n fixed time intervals tj1, tj2, ..., tj necc ,…tj n , measure the real-time data of the charge state of the electric hydrogen energy storage system and establish a time series;

[0053] The time series is expressed as:

[0054]

[0055] Step 3: Data normalization,

[0056] Normalize the data in the time series to obtain tj necc Normalized value of total load power of distribution network at any moment tj necc Normalized value of charging power of hydrogen energy storage system in distribution network at any moment tj necc Normalized value of the discharge power of the hydrogen energy storage system in the distribution network at any moment tj necc Normalized value of the electro-to-hydrogen efficiency at time tj necc Normalized value of hydrogen-to-electricity efficiency at time

[0057]

[0058] Where P egl,max , P ess,max , P hss,max , η eth,max , η hte,max They are the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj1, tj2, ..., tj necc ,…tj n The maximum value among the measured values ​​at these n fixed time intervals; egl,min , P ess,min , P hss,min , η eth,min , η hte,min They are the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj1, tj2, ..., tj necc ,...tj nThe minimum value among the measured values ​​at these n fixed time intervals.

[0059] Step 4: Get tj necc Influencing factors of charging power of electric hydrogen energy storage system in distribution network on the charge state of electric hydrogen energy storage system

[0060]

[0061] In the formula, is the normalized value of the total load power of the distribution network, is the normalized value of the charging power of the distribution network electric hydrogen energy storage system, is the normalized value of the electro-to-hydrogen conversion efficiency, is the normalized value of hydrogen-to-electricity efficiency.

[0062] Step 5: Get tj necc Influencing factors of the discharge power of the electric hydrogen energy storage system in the distribution network on the charge state of the electric hydrogen energy storage system

[0063]

[0064] Where ln is the natural logarithm and sin is the sine function.

[0065] Step 6: Get tj n+1 The predicted values ​​of the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the electricity-to-hydrogen efficiency and the normalized value of the hydrogen-to-electricity efficiency at each moment.

[0066]

[0067] In the formula, the transposed matrix is the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj n+1 The normalized value prediction matrix of the data at time instant.

[0068] The data of total load power of distribution network, charging power of distribution network electric hydrogen energy storage system, discharging power of distribution network electric hydrogen energy storage system, power-to-hydrogen efficiency and hydrogen-to-power efficiency are in tj1, tj2, ..., tj necc ,...,tj n The normalized value matrix of the measured data is obtained by measuring and calculating at these n fixed time intervals.

[0069] is the impact factor matrix.

[0070] By using formula (6), we can get tj n+1Normalized value of total load power of the distribution network at the time tj n+1 Normalized value of charging power of the distribution network hydrogen energy storage system at the moment tj n+1 Normalized value of the discharge power of the distribution network hydrogen energy storage system at the moment tj n+1 Normalized value of the electro-to-hydrogen efficiency at time tj n+1 Normalized value of hydrogen-to-electricity efficiency at time

[0071] Step 7: Get TJ n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times

[0072] In the formula, For tj n+1 The normalized value of the total load power of the distribution network at the moment, For tj n+1 The normalized value of the charging power of the hydrogen energy storage system in the distribution network at any given moment. For tj n+1 The normalized value of the discharge power of the hydrogen energy storage system in the distribution network at that moment, For tj n+1 The normalized value of the electro-hydrogen conversion efficiency at time . For tj n+1 The normalized value of hydrogen-to-electricity efficiency at the time.

[0073] According to formula (7), if tj is calculated n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is less than or equal to 0.326, the planned capacity of the distribution network battery energy storage system needs to be increased, and the planned capacity of the distribution network hydrogen energy storage system remains unchanged; if the calculated tj n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is greater than 0.326 and less than or equal to 0.733, the planned capacity of the distribution network battery energy storage system and the hydrogen energy storage system remains unchanged; if the calculated tj n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is greater than 0.733, the planned capacity of the distribution network hydrogen energy storage system can be increased, while the planned capacity of the distribution network battery energy storage system remains unchanged.

[0074] Example 2

[0075] like Figure 1 As shown, this embodiment describes step 2 to step 7 of the method of embodiment 1, and the specific steps are as follows:

[0076] Step 2: Measure the charge state data of the electric hydrogen energy storage system and establish a time series of various data of the charge state of the electric hydrogen energy storage system.

[0077] The actual data of the energy state of the new distribution network electric hydrogen energy storage system is used as an example to further explain and analyze the n fixed time intervals tj1, tj2, ..., tj necc ,...tj n The total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency are measured. The fixed time interval is 20 minutes, the number of measurements is 7, that is, n=7, and the measurement data results at tj1, tj2, tj3, tj4, tj5, tj6, tj7 are as follows:

[0078]

[0079] Step 3: Normalization of measurement data

[0080] According to the measured data of formula (8), the maximum value of the total load power P of the distribution network in the 5×7 fixed time intervals of tj1, tj2, tj3, tj4, tj5, tj6, and tj7 is selected. egl,max , minimum value P egl,min , the maximum charging power P of the distribution network hydrogen energy storage system ess,max , minimum value P ess,min , the maximum discharge power P of the distribution network hydrogen energy storage system hss,max , minimum value P hss,min , the maximum value of the electro-to-hydrogen efficiency η eth,max , minimum value η eth,min , the maximum value of hydrogen-to-electricity efficiency η hte,max , minimum value η hte,min Then the collected data is normalized according to formula (3), and the data processing results are as follows:

[0081]

[0082] Step 4: Obtain the influencing factors of the charging power of the distribution network electric hydrogen energy storage system on the charge state of the electric hydrogen energy storage system

[0083]

[0084] Step 5: Obtain the influencing factors of the discharge power of the distribution network electric hydrogen energy storage system on the charge state of the electric hydrogen energy storage system

[0085]

[0086] Step 6: Calculate the normalized predicted values ​​of the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the electricity-to-hydrogen efficiency and the hydrogen-to-electricity efficiency at time tj8.

[0087]

[0088] In formula (12), n is 7. According to the matrix expression (12), the normalized data values ​​of the charge state of the electric hydrogen energy storage system at time tj8 are calculated to obtain the normalized value of the total load power of the distribution network at time tj8: Normalized value of charging power of the distribution network hydrogen energy storage system at time tj8 Normalized value of the discharge power of the distribution network hydrogen energy storage system at time tj8 Normalized value of the power-to-hydrogen efficiency at time tj8 Normalized value of hydrogen-to-electricity efficiency at time tj8

[0089] Step 7: Calculate the predicted value of the electric hydrogen charging and discharging energy synchronization index based on electric hydrogen energy storage coordination at time tj8

[0090] According to formula (13), if the calculated predicted value of the electric hydrogen charging and discharging synchronization index based on electric hydrogen energy storage coordination is less than or equal to 0.326, the planned capacity of the distribution network battery energy storage system needs to be increased, and the planned capacity of the distribution network hydrogen energy storage system remains unchanged; if the calculated predicted value of the electric hydrogen charging and discharging synchronization index based on electric hydrogen energy storage coordination is greater than 0.326 and less than or equal to 0.733, the planned capacities of the distribution network battery energy storage system and the hydrogen energy storage system can be kept unchanged; if the calculated predicted value of the electric hydrogen charging and discharging synchronization index based on electric hydrogen energy storage coordination is greater than 0.733, the planned capacity of the distribution network hydrogen energy storage system can be increased, and the planned capacity of the distribution network battery energy storage system can be kept unchanged.

[0091] Example 3

[0092] This embodiment is an improvement on the first embodiment.

[0093] 0 <EU cd ≤0.25, and When the planned capacity of the distribution network battery energy storage system needs to be increased by 0.2 (P egl,max -P egl,min ), now consider obtaining tj necc The EU energy synchronization index of electric hydrogen charging and discharging based on the coordination of electric hydrogen energy storage at all times cd and tj n+1 The electric hydrogen charging and discharging energy synchronization index based on the coordination of electric hydrogen energy storage is always small, thus compensating for the smaller energy storage capacity.

[0094] 0.25 <EU cd ≤3, and When the planned capacity of the hydrogen energy storage system of the distribution network needs to be increased by 0.5 (P hss,max -P hss,min ), now consider obtaining tj necc The EU energy synchronization index of electric hydrogen charging and discharging based on the coordination of electric hydrogen energy storage at all times cd and tj n+1 The electric hydrogen charging and discharging energy synchronization index based on the coordination of electric hydrogen energy storage is larger at all times, thus compensating for the larger energy storage capacity.

[0095] This embodiment sets a refined energy storage capacity selection range according to the electric hydrogen charging and discharging energy synchronization index of the electric hydrogen energy storage coordination before time n, taking into account the impact on the distribution network and the cost of the energy storage device.

[0096] Figure 2 A more specific schematic diagram of the hardware structure of a computer storage medium provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other in communication within the device through the bus 1050.

[0097] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0098] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solution provided in the embodiment of the present application is implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0099] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0100] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0101] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0102] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiment of the present application, and does not necessarily include all the components shown in the figure.

[0103] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the downlink communication method under high-speed movement as described in any of the above embodiments.

[0104] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0105] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0106] It should be noted that the serial numbers of the embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0107] The above are merely embodiments of the present invention and are not intended to limit the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for predicting the synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination, characterized in that: The method comprises the following steps: Step 1: Get tj necc The EU energy synchronization index of electric hydrogen charging and discharging based on the coordination of electric hydrogen energy storage at all times cd ; Step 2: Measure the charge state data of the electric hydrogen energy storage system; Step 3: Data normalization; Step 4: Get tj necc Influencing factors of charging power of electric hydrogen energy storage system in distribution network on the charge state of electric hydrogen energy storage system Step 5: Get tj necc Influencing factors of the discharge power of the electric hydrogen energy storage system in the distribution network on the charge state of the electric hydrogen energy storage system Step 6: Get tj n+1 The predicted values ​​of the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the normalized value of the hydrogen-to-power efficiency at each moment; Step 7: Get TJ n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times According to the EU cd and Set the energy storage system capacity.

2. The method according to claim 1, characterized in that In the step 1, Where tj1, tj2, ..., tj necc ,…tj n is a moment of n fixed time intervals, n is a natural number, necc is a natural number and belongs to n, n=1,2,…, SOC HE is the charge state of the hydrogen energy storage device in the distribution network, P egl,max for tj1,tj2,...,tj necc ,...tj n The maximum value of the total load power of the distribution network during these n fixed time intervals, P egl,max For tj necc Total load power of distribution network at the moment, P ess,max for tj1,tj2,...,tj necc ,...tj n The maximum value of the charging power of the distribution network hydrogen energy storage system at these n fixed time intervals, P ess,necc For tj necc The charging power of the hydrogen energy storage system in the power distribution network at any moment, P hss,max for tj1,tj2,...,tj necc ,...tj n The maximum discharge power of the distribution network hydrogen energy storage system at these n fixed time intervals, P hss,necc For tj necc The discharge power of the hydrogen energy storage system in the distribution grid at any time, For tj necc The efficiency of electricity to hydrogen at any time, For tj necc The hydrogen-to-electricity efficiency at each moment.

3. The method according to claim 2, characterized in that In the step 2, At n fixed time intervals tj1, tj2, ..., tj necc ,...tj n , measure the real-time data of the charge state of the electric hydrogen energy storage system and establish a time series; The time series is expressed as:

4. The method according to claim 3, characterized in that In step 3, Normalize the data in the time series to obtain tj necc Normalized value of total load power of distribution network at any moment tj necc Normalized value of charging power of hydrogen energy storage system in distribution network at any moment tj necc Normalized value of the discharge power of the hydrogen energy storage system in the distribution network at any moment tj necc Normalized value of the electro-to-hydrogen efficiency at time tj necc Normalized value of hydrogen-to-electricity efficiency at time Where P egl,max , P ess,max , P hss,max , η eth,max , η hte,max They are the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj1, tj2, ..., tj necc ,...tj n The maximum value among the measured values ​​at these n fixed time intervals; egl,min , P ess,min , P hss,min , η eth,min , η hte,min They are the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj1, tj2, ..., tj necc ,...tj n The minimum value among the measured values ​​at these n fixed time intervals.

5. The method according to claim 4, characterized in that In step 4, In the formula, is the normalized value of the total load power of the distribution network, is the normalized value of the charging power of the distribution network electric hydrogen energy storage system, is the normalized value of the electro-to-hydrogen conversion efficiency, is the normalized value of hydrogen-to-electricity efficiency.

6. The method according to claim 5, characterized in that In step 5, Where ln is the natural logarithm and sin is the sine function.

7. The method according to claim 6, characterized in that In step 6, In the formula, the transposed matrix is the total load power of the distribution network, the charging power of the distribution network electric hydrogen energy storage system, the discharging power of the distribution network electric hydrogen energy storage system, the power-to-hydrogen efficiency and the hydrogen-to-power efficiency at tj n+1 The normalized value prediction matrix of the data at the moment; The data of total load power of distribution network, charging power of distribution network electric hydrogen energy storage system, discharging power of distribution network electric hydrogen energy storage system, power-to-hydrogen efficiency and hydrogen-to-power efficiency are in tj1, tj2, ..., tj necc ,...,tj n The normalized value matrix of the measured data is obtained by measuring and calculating at these n fixed time intervals.

8. The method according to claim 7, characterized in that In step 7, In the formula, For tj n+1 The normalized value of the total load power of the distribution network at the moment, For tj n+1 The normalized value of the charging power of the hydrogen energy storage system in the distribution network at any given moment. For tj n+1 The normalized value of the discharge power of the hydrogen energy storage system in the distribution network at that moment, For tj n+1 The normalized value of the electro-to-hydrogen efficiency at the moment; For tj n+1 The normalized value of hydrogen-to-electricity efficiency at the time.

9. The method according to claim 8, characterized in that If we calculate tj n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is less than or equal to 0.326, the planned capacity of the distribution network battery energy storage system needs to be increased, and the planned capacity of the distribution network hydrogen energy storage system remains unchanged; if the calculated tj n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is greater than 0.326 and less than or equal to 0.733, the planned capacity of the distribution network battery energy storage system and the hydrogen energy storage system remains unchanged; if the calculated tj n+1 The synchronization index of electric hydrogen charging and discharging based on electric hydrogen energy storage coordination at all times If the predicted value is greater than 0.733, the planned capacity of the distribution network hydrogen energy storage system will be increased, while the planned capacity of the distribution network battery energy storage system will remain unchanged.

10. A computer storage system comprising a memory, a processor, and a computer program stored in the memory and executable by the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.

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