Optimal configuration method for energy storage capacity of power hydrogen charging station of distribution network

Abstract

The invention relates to a distribution network electric hydrogen charging station energy storage capacity optimization configuration method, and belongs to the field of energy storage, and the method comprises the steps: 1, calculating an energy storage capacity adjustment index of a distribution network electric hydrogen charging station; 2, measuring data; step 3, carrying out data normalization on the measurement data; 4, calculating data at the next moment; and 5, calculating the energy storage capacity adjustment index of the distribution network electric hydrogen charging station at the next moment. According to the invention, the problem of consumption of renewable energy by the power distribution network is solved, peak clipping is carried out on the energy charging load of the energy charging station, and the impact on the power distribution network is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage, and in particular relates to a method for optimizing the configuration of energy storage capacity of a distribution network electric hydrogen charging station. Background Art

[0002] Energy storage technology is a flexible regulation resource with multi-time scale response characteristics. The energy storage capacity configuration of the electric hydrogen charging station directly affects the reliable operation capability and economic performance of the electric hydrogen charging station. Therefore, the present invention proposes a method for optimizing the energy storage capacity configuration of the electric hydrogen charging station in the distribution network, which can better absorb renewable energy and improve the operational reliability of the electric hydrogen charging station. Summary of the invention

[0003] The purpose of the present invention is to provide a method for optimizing the configuration of energy storage capacity of a distribution network electric hydrogen charging station, so as to solve the problem of the distribution network accommodating renewable energy, and to cut the peak of the charging load of the charging station to reduce the impact on the distribution network.

[0004] A method for optimizing the configuration of energy storage capacity of a distribution network electric hydrogen charging station, characterized in that the method comprises the following steps:

[0005] Step 1: Calculate the energy storage capacity adjustment index of the distribution network electric hydrogen charging station;

[0006] Step 2: Measure data;

[0007] Step 3: normalizing the measured data;

[0008] Step 4: Calculate the data at the next moment;

[0009] Step 5: Calculate the energy storage capacity adjustment index of the distribution network hydrogen charging station at the next moment.

[0010] Preferably, step 1 is: calculating teen k Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times for:

[0011]

[0012] In the formula, teen1, teen2, ..., teen k ,...teen n is a moment with n fixed time intervals, n is a natural number, k is a natural number and belongs to n, The fuel cell output power is teen1, teen2, ..., teen k ,...teen n The measured values ​​at these n fixed time intervals, P ofuel,max , P ofuel,minThe fuel cell output power is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the measured value of the total discharge efficiency of the battery, η zfd,max , η zfd,min The total discharge efficiency of the battery is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​among the measured values ​​at these n fixed time intervals.

[0013] Preferably, step 2 is: measuring the hydrogen production power of the electrolyzer Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network In teen1, teen2, ..., teen k ,...teen n The time series of the measured values ​​at these n fixed time intervals is expressed as:

[0014]

[0015] Preferably, the step 3 is: normalizing the measurement data of formula (2):

[0016] The measured data is normalized as follows:

[0017]

[0018] In the formula, is the normalized value of the measured value of hydrogen production power of the electrolyzer, and The power of hydrogen production for the electrolyzer is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the normalized value of the hydrogen storage tank storage efficiency measurement, and The storage efficiency of hydrogen storage tank is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the normalized value of the fuel cell output power measurement, is the normalized value of the total discharge efficiency measurement of the battery, is the normalized value of the total load measurement value of the distribution network, P zfh,max , P zfh,min The total load of the distribution network is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​among the measured values ​​at these n fixed time intervals.

[0019] Preferably, step 4 is: calculating the next moment teen n+1 Electrolyzer hydrogen production power Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network

[0020] Preferably, the specific calculation of the next moment data is:

[0021]

[0022] In the formula, For each data teen n+1 The data prediction matrix at time

[0023] For each data in teen1, teen2, ..., teen k ,…teen n The measured data matrix obtained by measuring at these n fixed time intervals is

[0024] is the calculation parameter matrix, and e is a natural constant.

[0025] Preferably, step 5 is:

[0026] In the update formula (2), each row of data is added with teen at the end of each row. n+1 Moment and Data, reselect the maximum and minimum values ​​in the n+1 data of each row of the updated formula (2) and replace the maximum and minimum values ​​of each row in formula (3), and obtain the corresponding maximum and minimum values ​​after replacement in formula (3) to obtain the teenth n+1 Normalized value of hydrogen production power of electrolyzer at time Normalized value of the measured value of hydrogen storage tank storage efficiency Normalized value of fuel cell output power measurement Normalized value of the total discharge efficiency measurement of the battery Normalized value of the total load measurement of the distribution network

[0027] Preferably, calculate teen n+1 Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times

[0028] Preferably, if the teen calculated according to formula (5) n+1 Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times Then install energy storage facilities; if the energy storage capacity adjustment index of the distribution network hydrogen charging station calculated according to formula (5) is There is no need to add energy storage facilities.

[0029] A computer storage medium 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.

[0030] Beneficial effects:

[0031] The present invention considers the impact of energy storage charging and discharging characteristics, renewable energy absorption capacity of distribution network and charging demand of charging station on distribution network, and proposes a method for optimizing energy storage capacity configuration of distribution network electric hydrogen charging station. Based on real-time monitoring of electrolyzers, hydrogen storage tanks, fuel cells, batteries and other equipment, relevant data can be obtained to calculate the hydrogen production power of electrolyzers, storage efficiency of hydrogen storage tanks, output power of fuel cells, total discharge efficiency of batteries and total load of distribution network at the next moment, and then calculate the energy storage capacity adjustment index of distribution network electric hydrogen charging station at the next moment. Finally, whether to install energy storage facilities or energy storage devices is adjusted according to the size of the index, and the charging load of the charging station is peaked to reduce the impact on the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Schematic diagram of a method for optimizing energy storage capacity configuration of a distribution network electric hydrogen charging station according to an embodiment of the present invention.

[0033] Figure 2 Schematic diagram of the computer storage medium structure according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] 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.

[0036] Embodiment 1

[0037] like Figure 1 As shown, a method for optimizing the energy storage capacity of a distribution network electric hydrogen charging station comprises the following steps:

[0038] Step 1: Teen k Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times for:

[0039]

[0040] In the formula, teen1, teen2, ..., teen k ,…teen n is a moment with n fixed time intervals, n is a natural number, k is a natural number and belongs to n, The fuel cell output power is teen1, teen2, ..., teen k ,…teen n The measured values ​​at these n fixed time intervals, P ofuel,max , P ofuel,min The fuel cell output power is teen1, teen2, ..., teen k ,…teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the measured value of the total discharge efficiency of the battery, η zfd,max , η zfd,min The total discharge efficiency of the battery is teen1, teen2, ..., teen k ,…teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are used to measure the following data parameters:

[0041] Measuring the power of hydrogen production in electrolyzers Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network In teen1, teen2, ..., teen k ,...teen n The time series of the measured values ​​at these n fixed time intervals is expressed as:

[0042]

[0043] Step 2: Normalize the measured data of formula (2):

[0044] The measured data is normalized as follows:

[0045]

[0046] In the formula, is the normalized value of the measured value of hydrogen production power of the electrolyzer, and The power of hydrogen production for the electrolyzer is teen1, teen2, ..., teen k ,…teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the normalized value of the hydrogen storage tank storage efficiency measurement, and The storage efficiency of hydrogen storage tank is teen1, teen2, ..., teen k ,…teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the normalized value of the fuel cell output power measurement, is the normalized value of the total discharge efficiency measurement of the battery, is the normalized value of the total load measurement value of the distribution network, P zfh,max , P zfh,min The total load of the distribution network is teen1, teen2, ..., teen k ,…teen n The maximum and minimum values ​​among the measured values ​​at these n fixed time intervals.

[0047] Step 3: Calculate the next time teen n+1 Electrolyzer hydrogen production power Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network

[0048]

[0049] In the formula, For each data teen n+1 The data prediction matrix at time

[0050] For each data in teen1, teen2, ..., teen k ,…teen n The measured data matrix obtained by measuring at these n fixed time intervals is

[0051] is the calculation parameter matrix. According to formula (4), the data can be calculated in teens n+1 The predicted value at the moment, e is a natural constant;

[0052] In the update formula (2), each row of data is added with teen at the end of each row. n+1 Moment and Data, reselect the maximum and minimum values ​​in the n+1 data of each row of the updated formula (2) and replace the maximum and minimum values ​​of each row in formula (3), and obtain the corresponding maximum and minimum values ​​after replacement in formula (3) to obtain the teenth n+1 Normalized value of hydrogen production power of electrolyzer at time Normalized value of the measured value of hydrogen storage tank storage efficiency Normalized value of fuel cell output power measurement Normalized value of the total discharge efficiency measurement of the battery Normalized value of the total load measurement of the distribution network

[0053] Step 4: Calculate teen n+1 The energy storage capacity adjustment index R of the hydrogen charging station in the distribution network at any time wcotj,teenn+1 :

[0054]

[0055] Alternatively, if the teen calculated according to formula (5) n+1 Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times This means that the charging load of the electric hydrogen charging station has a greater impact on the distribution network. At this time, energy storage facilities need to be installed to transfer the charging load using the characteristics of the energy storage facilities and reduce the impact of the charging load of the electric hydrogen charging station on the distribution network. If the energy storage capacity adjustment index of the distribution network electric hydrogen charging station calculated according to formula (5) is This means that the charging load of the electric hydrogen charging station has little impact on the distribution network, and monitoring can continue at this time without adding energy storage facilities.

[0056] Preferably, the following calculation is performed using the above method steps when n=8:

[0057] Measuring the data parameters of the electric hydrogen charging station:

[0058] Select a fixed time interval of 30 minutes, set n = 8, then measure the hydrogen production power of the electrolyzer at 8 fixed time intervals. Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network The measurement matrix is ​​as follows:

[0059]

[0060] Normalization of measurement data:

[0061] The measured data is normalized according to formula (3), and the normalized matrix is ​​as follows:

[0062]

[0063] According to formula (4), calculate the hydrogen production power of teen9 electrolyzer at the next moment Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network The time series is expressed as:

[0064]

[0065]

[0066] Update the measurement matrix and add the corresponding teen9 moment at the end of each row. and Data, reselect the maximum and minimum values ​​in the 9 data in each row of the updated measurement value matrix and replace the maximum and minimum values ​​of each row in formula (3). According to the replaced maximum and minimum values ​​in formula (3), the normalized value of the hydrogen production power of the electrolyzer at the teen9th moment is obtained. Normalized value of the measured value of hydrogen storage tank storage efficiency Normalized value of fuel cell output power measurement Normalized value of the total discharge efficiency measurement of the battery Normalized value of the total load measurement of the distribution network

[0067] Calculate the predicted value of the energy storage capacity adjustment index of the distribution network electric hydrogen charging station at the next moment in the future

[0068]

[0069] Optionally, if the calculated distribution network hydrogen charging station energy storage capacity adjustment index This means that the charging load of the electric hydrogen charging station has a greater impact on the distribution network. At this time, energy storage facilities need to be installed to transfer the charging load using the characteristics of the energy storage facilities and reduce the impact of the charging load of the electric hydrogen charging station on the distribution network. If the calculated distribution network electric hydrogen charging station energy storage capacity adjustment index This means that the charging load of the electric hydrogen charging station has little impact on the distribution network, and monitoring can continue at this time without adding energy storage facilities.

[0070] Embodiment 2

[0071] This embodiment is an improvement on the first embodiment.

[0072] where 0≦k≦n, and When the capacity of energy storage facilities is increased At this time, considering that the energy storage capacity adjustment index of the distribution network hydrogen charging station before time n is small, the smaller energy storage capacity is compensated.

[0073] where 0≦k≦n, and When the capacity of energy storage facilities is increased At this time, considering that the energy storage capacity adjustment index of the distribution network hydrogen charging station was at a medium level before time n, the medium energy storage capacity is compensated.

[0074] where 0≦k≦n, and When the capacity of energy storage facilities is increased At this time, considering that the energy storage capacity adjustment index of the distribution network hydrogen charging station before time n is large, the larger energy storage capacity is compensated.

[0075] This embodiment sets a refined energy storage capacity selection range according to the energy storage capacity adjustment index of the distribution network electric hydrogen charging station before time n, taking into account the impact on the distribution network and the cost of the energy storage device.

[0076] 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.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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.).

[0081] 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).

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for optimizing the energy storage capacity of a distribution network electric hydrogen charging station, characterized in that: The method comprises the following steps: Step 1: Calculate the energy storage capacity adjustment index of the distribution network electric hydrogen charging station; Step 2: Measure data; Step 3: normalizing the measured data; Step 4: Calculate the data at the next moment; Step 5: Calculate the energy storage capacity adjustment index of the distribution network hydrogen charging station at the next moment.

2. The method according to claim 1, characterized in that The step 1 is: calculate teen k Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times for: In the formula, teen1, teen2, ..., teen k ,...teen n is a moment with n fixed time intervals, n is a natural number, k is a natural number and belongs to n, The fuel cell output power is teen1, teen2, ..., teen k ,...teen n The measured values ​​at these n fixed time intervals, P ofuel,max , P ofuel,min The fuel cell output power is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the measured value of the total discharge efficiency of the battery, η zfd,max , η zfd,min The total discharge efficiency of the battery is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​among the measured values ​​at these n fixed time intervals.

3. The method according to claim 2, characterized in that The step 2 is: measuring the hydrogen production power of the electrolyzer Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network In teen1, teen2, ..., teen k ,...teen n The time series of the measured values ​​at these n fixed time intervals is expressed as:

4. The method according to claim 3, characterized in that The step 3 is: normalizing the measured data of formula (2): The measured data is normalized as follows: In the formula, is the normalized value of the measured value of hydrogen production power of the electrolyzer, and The power of hydrogen production for the electrolyzer is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the normalized value of the hydrogen storage tank storage efficiency measurement, and The storage efficiency of hydrogen storage tank is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​of the measured values ​​at these n fixed time intervals are is the normalized value of the fuel cell output power measurement, is the normalized value of the total discharge efficiency measurement of the battery, is the normalized value of the total load measurement value of the distribution network, P zfh,max , P zfh,min The total load of the distribution network is teen1, teen2, ..., teen k ,...teen n The maximum and minimum values ​​among the measured values ​​at these n fixed time intervals.

5. The method according to claim 4, characterized in that The step 4 is: calculate the next moment teen n+1 Electrolyzer hydrogen production power Hydrogen tank storage efficiency Fuel cell output power Total discharge efficiency of battery Total load of distribution network 6. The method according to claim 5, characterized in that The specific calculation data for the next moment is: In the formula, For each data teen n+1 The data prediction matrix at time For each data in teen1, teen2, ..., teen k ,...teen n The measured data matrix obtained by measuring at these n fixed time intervals is is the calculation parameter matrix, and e is a natural constant.

7. The method according to claim 6, characterized in that The step 5 is: In the update formula (2), each row of data is added with teen at the end of each row. n+1 Moment and Data, reselect the maximum and minimum values ​​in the n+1 data of each row of the updated formula (2) and replace the maximum and minimum values ​​of each row in formula (3), and obtain the corresponding value of the teenth row according to the replaced maximum and minimum values ​​in formula (3). n+1 Normalized value of hydrogen production power of electrolyzer at time Normalized value of the measured value of hydrogen tank storage efficiency Normalized value of fuel cell output power measurement Normalized value of the total discharge efficiency measurement of the battery Normalized value of the total load measurement of the distribution network 8. The method according to claim 7, characterized in that Calculating Teens n+1 Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times 9. The method according to claim 8, characterized in that If the teen n+1 Energy storage capacity adjustment index of hydrogen charging station in distribution network at all times Then install energy storage facilities; if the energy storage capacity adjustment index of the distribution network hydrogen charging station calculated according to formula (5) is There is no need to add energy storage facilities.

10. A computer storage medium 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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