Dynamic regulation and control method and dynamic regulation and control system for electro-hydrogen energy storage

Abstract

The invention relates to a dynamic regulation and control method and a dynamic regulation and control system for electro-hydrogen energy storage, and relates to the technical field of energy management optimization control. The method comprises the following steps: predicting a power demand load corresponding to a set moment or a plurality of set moments by using a power demand prediction model corresponding to the electric hydrogen energy storage system; according to the power demand load corresponding to the set moment or the set multiple moments, the hydrogen energy conversion efficiency corresponding to hydrogen energy storage in the electricity hydrogen energy storage system and the maximum hydrogen energy storage output power, the minimum output power corresponding to the hydrogen energy storage in the electricity hydrogen energy storage system at the set moment or the set multiple moments is determined; and based on the minimum output power corresponding to the set moment or the set multiple moments, the output power corresponding to the hydrogen filling amount corresponding to the set moment or the moments before the set multiple moments, the hydrogen energy conversion efficiency and the hydrogen storage amount, the hydrogen storage amount corresponding to the set moment or the set multiple moments is determined. And dynamic regulation and control of electro-hydrogen energy storage can be realized.

Description

Technical Field

[0001] The present disclosure relates to the technical field of energy management optimization control, and in particular to a dynamic control method and a dynamic control system for electric hydrogen energy storage. Background Art

[0002] The electric-hydrogen hybrid energy storage system is an advanced energy system that combines renewable energy, battery energy storage and hydrogen energy storage technology to achieve efficient and stable energy management. The system aims to reduce dependence on traditional fossil energy by using renewable energy, while responding to the instability of energy supply and changes in load demand through a variety of energy storage technologies. Batteries and hydrogen storage can improve the reliability of renewable energy utilization. The energy storage system can store excess electricity when power generation exceeds load demand, and release electricity when power generation is lower than load demand, thereby smoothing these fluctuations. Hydrogen energy, as a long-term energy storage carrier, can make up for the shortcomings of photovoltaic volatility and intermittency, and promote its large-scale development, but it cannot respond to millisecond / second fluctuations in time, while battery storage has the characteristics of low energy density and fast response, which can make up for the response of hydrogen storage in the short-term link. The combination of electric and hydrogen energy storage is the key to improving system energy efficiency.

[0003] The electric-hydrogen hybrid energy storage system contains two different energy forms: battery energy storage and hydrogen energy storage. This requires the system to coordinate between short-term rapid response and long-term energy storage. In addition, the cost of battery energy storage is extremely expensive, which is 20 to 30 times the price of hydrogen energy storage at the same energy level. How to reduce the cost of the electric-hydrogen hybrid energy storage system is also a problem.

[0004] Furthermore, changes in electricity demand may occur within minutes or even seconds, and existing solutions may not be able to respond to these changes in a timely manner.

[0005] Patent CN118569086A optimizes the attenuation of the electrolyzer and the regulated power of the hydrogen energy storage system in the electric-hydrogen hybrid energy storage system. The first objective function is set by a certain algorithm to minimize the attenuation of the electrolyzer in an operating cycle, and the second objective function is set to maximize the regulated power of the hydrogen energy storage system in an operating cycle. This reduces battery loss and reduces costs.

[0006] However, this solution mainly focuses on the attenuation of the electrolyzer and the regulation of the hydrogen energy storage system, ignoring other important factors of the entire system. For example, the rapid response capability of the battery energy storage system and the overall economic efficiency of the system are not fully considered.

[0007] Patent CN 118449173A proposes an optimization scheduling method for an electric-hydrogen hybrid energy storage system that takes into account long-term and short-term coordination. By introducing a scheduling mechanism with multiple time scales (long-cycle stage and short-cycle stage), it solves the problem of short scheduling time scales in the prior art, especially the problem of difficulty in adapting to long-term hydrogen energy storage scheduling needs.

[0008] However, the patented method performs daily rolling optimization scheduling in the short cycle stage, but may ignore the need for rapid response to real-time load fluctuations. Changes in power demand may occur within hours or even minutes, and the solution cannot cope with these changes.

[0009] In general, there is no use of hydrogen energy storage systems to respond to loads in advance, which increases the use of battery energy storage and increases costs. In addition, load fluctuations at the minute / second level are not handled, and the advantages of battery energy storage are not effectively utilized. Summary of the invention

[0010] The present disclosure proposes a dynamic control method for electric hydrogen energy storage and a corresponding technical solution for the dynamic control system for electric hydrogen energy storage.

[0011] According to one aspect of the present disclosure, a method for dynamic regulation of hydrogen energy storage is provided, comprising:

[0012] The power demand forecasting model corresponding to the electric hydrogen energy storage system is used to forecast the power demand load corresponding to a set time or multiple set times (power demand forecast load);

[0013] Determine the minimum output power (minimum predicted output power) of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or the set multiple times according to the power demand load corresponding to the set time or the set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power;

[0014] The hydrogen reserve amount corresponding to the set time or the set multiple times is determined based on the minimum output power corresponding to the set time or the set multiple times, the output power corresponding to the amount of hydrogen charged at the set time or the time before the set multiple times, the hydrogen energy conversion efficiency and the hydrogen reserve amount.

[0015] Preferably, before using the electricity demand forecasting model corresponding to the electric hydrogen energy storage system to predict the electricity demand load corresponding to a set moment or set multiple moments, the electricity demand forecasting model is established, and the method includes: obtaining a set neural network or convolutional neural network and corresponding historical load data, and using the historical load data to train the set neural network or convolutional neural network to obtain the electricity demand forecasting model corresponding to the electric hydrogen energy storage system; wherein the historical load data at least includes: historical electricity demand load.

[0016] Preferably, the historical load data also includes: external factor data affecting the historical power demand load; and / or the external factor data corresponding to the historical power demand load includes at least one or more of: temperature, humidity, seasonal changes and holiday information.

[0017] Preferably, before using the historical load data to train the set neural network or convolutional neural network, the historical load data is processed to remove outliers or fill in missing values; and / or, before using the historical load data to train the set neural network or convolutional neural network, it also includes: normalizing the historical load data.

[0018] Preferably, the set neural network or convolutional neural network is configured as a long short-term memory network or a network improved therefrom.

[0019] Preferably, the method for determining the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system at a set time or set multiple times based on the power demand load corresponding to the set time or set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power, includes: determining the hydrogen energy storage output power corresponding to the power demand load based on the power demand load corresponding to the set time or set multiple times and the hydrogen energy conversion efficiency; determining the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or set multiple times from the maximum hydrogen energy storage output power and the hydrogen energy output power corresponding to the power demand load.

[0020] Preferably, the method for determining the hydrogen reserve amount corresponding to the set moment or set multiple moments based on the minimum output power corresponding to the set moment or set multiple moments, the output power corresponding to the amount of hydrogen charged corresponding to the moment before the set moment or set multiple moments, the hydrogen energy conversion efficiency and the hydrogen reserve amount, includes: respectively determining the output power and the minimum output power corresponding to the amount of hydrogen charged under the time variation corresponding to the set moment or set multiple moments and the moments before the set moment; determining the variation of hydrogen reserve by using the output power and the minimum output power corresponding to the amount of hydrogen charged under the time variation; updating the hydrogen reserve amount corresponding to the set moment or set multiple moments based on the variation of hydrogen reserve and the hydrogen reserve amount corresponding to the moment before the set moment or set multiple moments.

[0021] Preferably, the method for respectively determining the minimum output power corresponding to the amount of hydrogen charged under the time variation corresponding to the set moment or the set multiple moments and the moments before the set moment, comprises: multiplying the time variation corresponding to the set moment or the set multiple moments at the previous moment by the output power corresponding to the amount of hydrogen charged corresponding to the set moment or the set multiple moments at the previous moment, to determine the output power corresponding to the amount of hydrogen charged under the time variation; or, subtracting the output power corresponding to the amount of hydrogen charged corresponding to the set moment or the set multiple moments at the previous moment from the output power corresponding to the amount of hydrogen charged corresponding to the set moment or the set multiple moments at the previous moment from the output power corresponding to the amount of hydrogen charged corresponding to the previous moment before the previous moment, to determine the output power corresponding to the amount of hydrogen charged under the time variation.

[0022] Preferably, the method for respectively determining the minimum output power corresponding to the amount of hydrogen filled under the time variation corresponding to the set moment or the set multiple moments and the moments before the set moment, comprises: multiplying the time variation corresponding to the set moment or the set multiple moments by the minimum output power corresponding to the set moment or the set multiple moments, to determine the minimum output power under the time variation; or, subtracting the minimum output power corresponding to the previous moment before the set moment or the set multiple moments from the minimum output power corresponding to the set moment or the set multiple moments, to determine the minimum output power under the time variation.

[0023] Preferably, the method for determining the change in hydrogen reserves by using the output power and minimum output power corresponding to the amount of hydrogen charged under the time change includes: subtracting the minimum output power under the time change from the output power corresponding to the amount of hydrogen charged under the time change to obtain the corresponding output power change; dividing the output power change by the hydrogen energy conversion efficiency to obtain the corresponding gas reserve change; or, dividing the output power corresponding to the amount of hydrogen charged under the time change by the hydrogen energy conversion efficiency to obtain the hydrogen increase change; dividing the minimum output power under the time change by the hydrogen energy conversion efficiency to obtain the hydrogen consumption; and determining the change in hydrogen reserves by subtracting the hydrogen consumption from the hydrogen increase change.

[0024] Preferably, the method for updating the hydrogen reserves corresponding to the set time or set multiple moments based on the change in the hydrogen reserves and the hydrogen reserves corresponding to the time before the set time or set multiple moments comprises: adding the change in the hydrogen reserves to the hydrogen reserves corresponding to the time before the set time or set multiple moments, and updating the hydrogen reserves corresponding to the set time or set multiple moments.

[0025] Preferably, the dynamic control method further comprises: dynamically adjusting the amount of hydrogen corresponding to the hydrogen energy storage based on the updated hydrogen reserve amount.

[0026] Preferably, the method for dynamically adjusting the hydrogen amount corresponding to the hydrogen energy storage based on the updated hydrogen reserve amount includes: obtaining the maximum hydrogen reserve amount corresponding to the maximum hydrogen energy storage output power; in the process of using the hydrogen energy storage for power supply, if the hydrogen reserve amount corresponding to the set time or the set multiple times is less than the updated hydrogen reserve amount and less than the maximum hydrogen reserve amount, then the hydrogen energy storage is further charged with hydrogen based on the updated hydrogen reserve amount; otherwise, the hydrogen energy storage is not further charged with hydrogen at this time, until the hydrogen reserve amount corresponding to the set time or the set multiple times is less than the updated hydrogen reserve amount and less than the maximum hydrogen reserve amount, and the hydrogen energy storage is further charged with hydrogen again based on the updated hydrogen reserve amount.

[0027] Preferably, the dynamic control method also includes: real-time detection of the power demand load at the current moment, the hydrogen energy storage output power at the current moment, or the power demand forecast load corresponding to the current moment in the set moment or set multiple moments (using the power demand forecast model corresponding to the electric hydrogen energy storage system to predict the power demand load corresponding to the set moment or set multiple moments, that is, the power demand forecast load) or the minimum predicted output power (the minimum output power of the hydrogen energy storage in the electric hydrogen energy storage system corresponding to the set moment or set multiple moments, that is, the minimum predicted output power); based on the power demand load at the current moment and the hydrogen energy storage output power at the current moment or the power demand forecast load or the minimum predicted output power, the hydrogen energy storage in the electric hydrogen energy storage system is adjusted to battery energy storage for power supply.

[0028] Preferably, the method of adjusting the hydrogen energy storage in the electric hydrogen energy storage system to battery energy storage for power supply includes: calculating the load / power difference between the power demand load at the current moment and the hydrogen energy storage output power or the minimum predicted output power at the current moment (the output power of the battery energy storage at the current moment); based on the load / power difference and the conversion efficiency of the battery corresponding to the battery energy storage, updating the storage capacity corresponding to the current moment.

[0029] Preferably, the method for updating the storage capacity corresponding to the current moment based on the load / power difference and the conversion efficiency of the battery corresponding to the battery energy storage includes: determining the load / power difference under the time variation corresponding to the current moment and the moment before it; determining the change in storage capacity using the load / power difference under the time variation and the conversion efficiency of the battery; updating the storage capacity corresponding to the current moment based on the change in storage capacity and the storage capacity corresponding to the moment before it.

[0030] Preferably, before determining the load / power difference value under the time change corresponding to the current moment and the moment before it, determination is made, including: multiplying the time change corresponding to the current moment and the moment before it by the load / power difference value corresponding to the current moment, to determine the load / power difference value under the time change corresponding to the current moment and the moment before it; or, subtracting the load / power difference value corresponding to the current moment from the load / power difference value corresponding to the moment before it (such as the previous moment) determined, to determine the load / power difference value under the time change corresponding to the current moment and the moment before it.

[0031] Preferably, the method of determining the change in power storage amount by using the load / power difference under the time change and the conversion efficiency of the battery includes: dividing the load / power difference under the time change by the conversion efficiency of the battery to obtain the corresponding change (power storage amount consumption).

[0032] Preferably, the method for updating the storage capacity corresponding to the current moment based on the change in the storage capacity and the storage capacity corresponding to the moment before the moment (such as the previous moment) includes: subtracting the change in the storage capacity from the moment before the current moment to update the storage capacity corresponding to the current moment.

[0033] Preferably, the dynamic control method further includes: obtaining the predicted power demand load corresponding to the set time or multiple times predicted by the power demand forecasting model; if the predicted power demand load corresponding to a certain time in the set time or multiple times is less than the actual power demand load corresponding to the certain time, the hydrogen energy storage in the electric hydrogen energy storage system is adjusted to battery energy storage for power supply. This solves the current technical problem that the load fluctuations at the minute / second level are not processed and the advantages of battery energy storage are not effectively utilized.

[0034] According to one aspect of the present disclosure, a method for dynamic regulation of hydrogen energy storage is provided, comprising: obtaining a power demand load corresponding to a current moment of an electric hydrogen energy storage system and an output power, a maximum storage capacity, a minimum storage capacity, a storage capacity or an updated storage capacity of a battery energy storage in the electric hydrogen energy storage system;

[0035] Using the power demand forecasting model corresponding to the electric hydrogen energy storage system to set a power demand forecasting load at a set time or multiple times after the current time, and based on the power demand forecasting load corresponding to the set time or multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric hydrogen energy storage system, and the maximum hydrogen energy output power, determine the minimum output power of the hydrogen energy storage in the electric hydrogen energy storage system corresponding to the set time or multiple times;

[0036] Determine an objective function based on the power demand load at the current moment, the output power of the battery energy storage, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity, and the minimum output power of the hydrogen energy storage;

[0037] While maximizing the utilization of the hydrogen energy storage, the usage frequency and / or depth of discharge of the battery in the battery energy storage is minimized, and the battery optimized output power and the hydrogen energy storage optimized output power of the electric hydrogen energy storage system at the current moment are determined based on the objective function.

[0038] Preferably, the method for determining the objective function based on the power demand load at the current moment, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity of the battery energy storage, and the minimum output power of the hydrogen energy storage includes: determining the battery energy storage output power ratio corresponding to the objective function according to the power demand load at the current moment and the output power corresponding to the battery energy storage; determining the hydrogen energy storage output power ratio corresponding to the objective function according to the power demand load at the current moment and the minimum output power of the hydrogen energy storage; determining the discharge depth percentage corresponding to the objective function according to the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity of the battery energy storage; constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage.

[0039] Preferably, the method for constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage also includes: respectively obtaining the first weight coefficient, the second weight coefficient and the third weight coefficient corresponding to the battery energy storage output power ratio, the discharge depth percentage and the hydrogen energy storage output power ratio; respectively weighting the battery energy storage output power ratio, the discharge depth percentage and the hydrogen energy storage output power ratio to the first weight coefficient, the second weight coefficient and the third weight coefficient; constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage after weight allocation.

[0040] Preferably, the method for determining the updated power storage amount includes: determining the load / power difference under the time variation corresponding to the current moment and the moment before the current moment; determining the change in power storage amount using the load / power difference under the time variation and the conversion efficiency of the battery; and updating the power storage amount corresponding to the current moment (updated power storage amount) based on the change in power storage amount and the power storage amount corresponding to the moment before the current moment.

[0041] Preferably, the method for determining the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system at a set time or set multiple times based on the predicted power demand load corresponding to the set time or set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power includes: determining the hydrogen energy storage output power corresponding to the predicted power demand load based on the predicted power demand load corresponding to the set time or set multiple times and the hydrogen energy conversion efficiency; determining the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or set multiple times from the maximum hydrogen energy storage output power and the hydrogen energy output power corresponding to the predicted power demand load.

[0042] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising:

[0043] A prediction unit, used to predict the power demand load corresponding to a set time or multiple set times using a power demand prediction model corresponding to the electric hydrogen energy storage system;

[0044] A first determining unit is used to determine the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or the set multiple times according to the power demand load corresponding to the set time or the set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power;

[0045] The control unit is used to determine the hydrogen reserve amount corresponding to the set time or the set multiple times based on the minimum output power corresponding to the set time or the set multiple times, the output power corresponding to the amount of hydrogen charged at the set time or the time before the set multiple times, the conversion efficiency of the hydrogen energy and the hydrogen reserve amount.

[0046] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising:

[0047] An acquisition unit, used to acquire the power demand load corresponding to the electric hydrogen energy storage system at the current moment and the output power, maximum storage capacity, minimum storage capacity, storage capacity or updated storage capacity of the battery energy storage in the electric hydrogen energy storage system;

[0048] A second determination unit is used to use the power demand forecasting model corresponding to the electric hydrogen energy storage system to set a power demand forecast load at a set time or multiple times after the current time, and determine the minimum output power of the hydrogen energy storage in the electric hydrogen energy storage system corresponding to the set time or multiple times based on the power demand forecast load corresponding to the set time or multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric hydrogen energy storage system, and the maximum hydrogen energy storage output power;

[0049] An objective function determination unit, configured to determine an objective function based on the power demand load at the current moment, the output power of the battery energy storage, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity, and the minimum output power of the hydrogen energy storage;

[0050] An optimization unit is used to minimize the usage frequency and / or depth of discharge of the battery in the battery energy storage while maximizing the utilization of the hydrogen energy storage, and to determine the battery optimized output power and hydrogen energy storage optimized output power of the electric hydrogen energy storage system at the current moment based on the objective function.

[0051] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to call the instructions stored in the memory to implement the above-mentioned dynamic control method.

[0052] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising: a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions implement the above-mentioned dynamic control method when executed by a processor.

[0053] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising: a computer program product, including a computer program / instruction, which implements the above-mentioned dynamic control method when executed by a processor.

[0054] In the embodiments of the present disclosure, a dynamic control method of electric hydrogen energy storage and a technical solution corresponding to the dynamic control system of electric hydrogen energy storage are proposed to solve the technical problem that there is currently no utilization of the hydrogen energy storage system to respond to the load in advance, thereby increasing the utilization of battery energy storage and further increasing the cost.

[0055] In the embodiments of the present disclosure and other possible embodiments, once a battery energy storage system or hydrogen energy storage system fails, the system will automatically switch to backup mode or adjust the output of the remaining energy storage system to ensure uninterrupted power supply. At the same time, the system can also monitor the health status of the energy storage equipment and detect potential problems in advance.

[0056] The above-mentioned dynamic regulation based on power demand forecasting and optimization algorithm realizes efficient and rapid response to the power grid, enabling energy storage equipment to work in an efficient and intelligent manner under different load conditions.

[0057] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

[0058] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used to illustrate the technical solutions of the present disclosure together with the specification.

[0060] Figure 1 A flow chart showing a method for dynamically controlling hydrogen energy storage according to an embodiment of the present disclosure;

[0061] Figure 2 is a block diagram of an electronic device 800 according to an exemplary embodiment;

[0062] Figure 3 is a block diagram of an electronic device 1900 according to an exemplary embodiment. DETAILED DESCRIPTION

[0063] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0064] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0065] The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C can represent including any one or more elements selected from the set consisting of A, B, and C.

[0066] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.

[0067] It can be understood that the above-mentioned various method embodiments mentioned in the present disclosure can be combined with each other to form a combined embodiment without violating the principle logic. Due to space limitations, the present disclosure will not go into details.

[0068] In addition, the present disclosure also provides a dynamic control system, device, electronic device, computer-readable storage medium, and program product for electric hydrogen energy storage, all of which can be used to implement any dynamic control method for electric hydrogen energy storage provided by the present disclosure. The corresponding technical solutions and descriptions are referred to in the corresponding records of the method part and will not be repeated here.

[0069] Figure 1 A flow chart of a dynamic control method of electric hydrogen energy storage according to an embodiment of the present disclosure is shown. Figure 1 As shown, the dynamic control method of the electric hydrogen energy storage includes: step S101: using the power demand prediction model corresponding to the electric hydrogen energy storage system to predict the power demand load (power demand prediction load) corresponding to the set time or set multiple times; step S102: according to the power demand load corresponding to the set time or set multiple times, the conversion efficiency of hydrogen energy corresponding to the hydrogen energy storage in the electric hydrogen energy storage system and the maximum hydrogen energy storage output power, determine the minimum output power (minimum predicted output power) of the hydrogen energy storage in the electric hydrogen energy storage system at the set time or set multiple times; step S103: based on the minimum output power corresponding to the set time or set multiple times, the output power corresponding to the amount of hydrogen charged corresponding to the set time or the time before the set multiple times, the conversion efficiency of the hydrogen energy and the hydrogen reserve, determine the hydrogen reserve corresponding to the set time or set multiple times. To solve the current technical problem that there is no utilization of the hydrogen energy storage system to respond to the load in advance, thereby increasing the utilization of battery energy storage and increasing the cost.

[0070] Step S101: Use the power demand forecasting model corresponding to the electric hydrogen energy storage system to forecast the power demand load (power demand forecast load) corresponding to a set time or multiple set times.

[0071] In an embodiment of the present disclosure, before using the electricity demand forecasting model corresponding to the electric hydrogen energy storage system to predict the electricity demand load corresponding to a set moment or set multiple moments, the electricity demand forecasting model is established, and the method includes: obtaining a set neural network or convolutional neural network and corresponding historical load data, and using the historical load data to train the set neural network or convolutional neural network to obtain the electricity demand forecasting model corresponding to the electric hydrogen energy storage system; wherein the historical load data at least includes: historical electricity demand load.

[0072] In an embodiment of the present disclosure, the historical load data also includes: external factor data affecting the historical power demand load; and / or the external factor data corresponding to the historical power demand load includes at least one or more of: temperature, humidity, seasonal changes and holiday information.

[0073] In an embodiment of the present disclosure, before using the historical load data to train the set neural network or convolutional neural network, the historical load data is processed to remove outliers or fill in missing values; and / or, before using the historical load data to train the set neural network or convolutional neural network, it also includes: normalizing the historical load data; and / or, the set neural network or convolutional neural network is configured as a long short-term memory network or a network improved based on it.

[0074] In the embodiments of the present disclosure and other possible embodiments, first, 2-5 years of historical load data are required, including daily, hourly, and even minute-by-minute power consumption in the power grid. These data usually come from the smart meters and monitoring systems of power companies. In addition, it is also necessary to collect data on external factors that may affect power demand, such as weather (temperature, humidity), seasonal changes, holiday information, etc.

[0075] In the embodiments of the present disclosure and other possible embodiments, the collected historical load data is often messy and incomplete, and therefore needs to be preprocessed, including using the 3σ rule to remove noise (outliers) and filling missing values ​​with the mean to improve the prediction accuracy of the power demand forecasting model.

[0076] In the embodiments of the present disclosure and other possible embodiments, holiday and season information can be converted into one-hot encoding. Taking season information as an example, we can create four-dimensional vectors for the four seasons of spring, summer, autumn and winter. If it is spring, the corresponding one-hot encoding vector is [1,0,0,0]; summer is [0,1,0,0]; autumn is [0,0,1,0]; winter is [0,0,0,1].

[0077] In the embodiment of the present disclosure and other possible embodiments, continuous variables (such as air humidity and weather temperature) may need to be normalized to obtain normalized historical load data x new For example, for air humidity data, assuming the range of humidity values ​​is [a, b], the following formula can be used to normalize it to the interval [0, 1].

[0078]

[0079] In the embodiment of the present disclosure and other possible embodiments, when processing time series historical load data of general scale, the number of units in each layer can be set between 32-256.

[0080] In the embodiments of the present disclosure and other possible embodiments, an intelligent prediction algorithm based on trained historical data (historical load data) is used. For example, based on LSTM (Long Short-Term Memory Network), Bi-LSTM, xLSTM, the collected historical data is used to train the LSTM, Bi-LSTM, xLSTM model.

[0081] In the embodiment of the present disclosure and other possible embodiments, the preprocessed historical load data set is split into a training set, a validation set and a test set. The training set is used to train the model, the validation set is used to adjust the model parameters (such as hyperparameter tuning), and the test set is used to evaluate the final performance of the model.

[0082] In the embodiments of the present disclosure and other possible embodiments, the LSTM model is trained using the training set data. During the training process, the model learns the mapping relationship between the input features and the load values. Through an iterative optimization algorithm (such as a back propagation algorithm), the model parameters are gradually adjusted to minimize the loss function.

[0083] In the embodiments of the present disclosure and other possible embodiments, the specific workflow of the back-propagation algorithm in LSTM is as follows: first, the error between the predicted value and the actual value is calculated, and then the gradient of the parameters of the output layer is calculated according to the loss function, and this gradient will be propagated back along the network.

[0084] In the embodiments of the present disclosure and other possible embodiments, in LSTM, due to the particularity of its structure, it is necessary to consider the cell state and the state of each gate when calculating the gradient. For example, for an LSTM network containing multiple time steps, when calculating the gradient of a certain time step, it is necessary to consider factors such as the input of the time step, the hidden state of the previous time step, and the cell state. Based on the calculated gradient, an optimizer (such as Adam) is used to update the parameters of the model. The update method is to move the parameters in the opposite direction of the gradient according to a certain learning rate, thereby gradually reducing the value of the loss function.

[0085] In the embodiment of the present disclosure and other possible embodiments, the power demand load corresponding to the scheduling plan for hydrogen energy storage and battery energy storage is predicted based on the trained LSTM model (power demand prediction model).

[0086] Among them, f predict It is a load forecasting function (trained LSTM model or other power demand forecasting model based on statistical learning or deep learning), based on the predicted power demand load at multiple future time points (1st minute, 2nd minute...) It will be used to formulate scheduling plans for hydrogen energy storage and battery energy storage (build energy storage system control models).

[0087] In the embodiments of the present disclosure and other possible embodiments, the trained LSTM model or other power demand prediction model based on statistical learning or deep learning can predict the future power demand corresponding to the scheduling plan for hydrogen energy storage and battery energy storage by inputting the historical load data of the power grid. The demand change trend within a period of time is given. In this way, the system can prepare for possible peak or valley electricity consumption in advance. ) Control the energy storage system (energy storage system regulation model).

[0088] Step S102: Determine the minimum output power (minimum predicted output power) of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or the set multiple times based on the power demand load corresponding to the set time or the set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power.

[0089] In an embodiment of the present disclosure, the method for determining the minimum output power of hydrogen energy storage in the electric hydrogen energy storage system at a set time or multiple times according to the power demand load corresponding to the set time or multiple times, the conversion efficiency of hydrogen energy corresponding to the hydrogen energy storage in the electric hydrogen energy storage system, and the maximum hydrogen energy storage output power includes: based on the power demand load corresponding to the set time or multiple times And the conversion efficiency η of the hydrogen energy h2 , determine the hydrogen energy storage output power corresponding to the power demand load At the maximum hydrogen storage output power P h2,max And the hydrogen energy storage output power corresponding to the power demand load In the process, the minimum output power P corresponding to the hydrogen energy storage at a set time or multiple set times in the electric hydrogen energy storage system is determined. h2,t+k .

[0090] In the embodiments of the present disclosure and other possible embodiments, the energy storage system (electric hydrogen energy storage system) is divided into two parts: battery energy storage and hydrogen energy storage. Hydrogen energy storage is preferred because it is low in cost and easy to store on a large scale and for a long period of time.

[0091] In the embodiment of the present disclosure and other possible embodiments, the power demand load predicted by the power demand prediction model is As an input, hydrogen energy storage is prioritized before the future load peak arrives. For example, if a peak in electricity consumption is expected at 3 pm, we can start to prepare the hydrogen storage system at 2:30 pm to ensure that the required electricity can be provided in time.

[0092] In the embodiment of the present disclosure and other possible embodiments, the hydrogen storage energy outputs the minimum power (minimum output power) P corresponding to the time k (1, 2, 3, ..) after the time t. h2,t+k Depends on the predicted electricity demand load and the maximum hydrogen storage power output capacity of the energy storage system (maximum hydrogen storage output power) P h2,max , Power demand load and the hydrogen conversion efficiency η h2 The corresponding hydrogen energy storage power output capacity (hydrogen energy storage output power). Its scheduling model (energy storage system control model) can be expressed as:

[0093]

[0094] In an embodiment of the present disclosure, the method for respectively determining the minimum output power corresponding to the amount of hydrogen charged at the time change Δt1 and / or Δt2 corresponding to the set moment or the set multiple moments and the moments before it, comprises: multiplying the time change Δt2 corresponding to the set moment or the set multiple moments at the previous moment by the output power P corresponding to the amount of hydrogen charged at the set moment or the set multiple moments at the previous moment h2,charge,t+k-1 , determine the output power P corresponding to the amount of hydrogen filled under the time variation h2,charge,t+k-1 ·Δt2; or, the amount of hydrogen charged corresponding to the previous moment at the set moment or multiple set moments P h2,charge,t+k-1 The corresponding output power minus the output power P corresponding to the amount of hydrogen charged at the previous moment before the previous moment h2,charge,t+k-2 , determine the output power P corresponding to the amount of hydrogen filled under the time variation h2,charge,t+k-1 -P h2,charge,t+k-2 .

[0095] In an embodiment of the present disclosure, the method for respectively determining the minimum output power corresponding to the amount of hydrogen charged at the time change Δt1 and / or Δt2 corresponding to the set time or multiple set times and the time before the set time, comprises: multiplying the time change Δt1 corresponding to the set time or multiple set times by the minimum output power P corresponding to the set time or multiple set times h2，t+k , determine the minimum output power P under the time variation h2，t+k ·Δt1; or, the minimum output power P corresponding to the set time or multiple set times h2，t+k Subtract the minimum output power P corresponding to the previous moment before the set moment or the set moment h2，t+k-1 , determine the minimum output power P under the time variation h2，t+k -P h2，t+k-1 .

[0096] In an embodiment of the present disclosure, the method for determining the change in hydrogen reserve by using the output power and minimum output power corresponding to the amount of hydrogen charged under the time change includes: subtracting the minimum output power under the time change from the output power corresponding to the amount of hydrogen charged under the time change to obtain the corresponding output power change; dividing the output power change by the conversion efficiency of hydrogen energy to obtain the corresponding change in hydrogen reserve; or dividing the output power corresponding to the amount of hydrogen charged under the time change by the conversion efficiency η of hydrogen energy. h2 , and obtain the change in hydrogen increase; the minimum output power under the time change divided by the hydrogen energy conversion efficiency η h2 , and obtain the hydrogen consumption; the hydrogen increase change minus the hydrogen consumption to determine the change in hydrogen reserves or

[0097] Step S103: Determine the hydrogen reserve amount corresponding to the set time or the set multiple times based on the minimum output power corresponding to the set time or the set multiple times, the output power corresponding to the amount of hydrogen charged at the set time or the time before the set multiple times, the hydrogen energy conversion efficiency and the hydrogen reserve amount.

[0098] In an embodiment of the present disclosure, the method for determining the hydrogen reserve corresponding to the set time or set multiple moments based on the minimum output power corresponding to the set time or set multiple moments, the output power corresponding to the amount of hydrogen charged corresponding to the time before the set time or set multiple moments, the conversion efficiency of hydrogen energy and the hydrogen reserve, comprises: respectively determining the output power and the minimum output power corresponding to the amount of hydrogen charged under the time variation corresponding to the set time or set multiple moments and the time before the set time; using the output power and the minimum output power corresponding to the amount of hydrogen charged under the time variation, determining the change amount E of the hydrogen reserve h2，t+k-1 Based on the change in the hydrogen reserve and the hydrogen reserve E corresponding to the set time or the set time before the time h2，t+k-1 , update the hydrogen reserve E corresponding to the set time or set multiple times h2，t+k .

[0099] In the embodiment of the present disclosure and other possible embodiments, the hydrogen reserve is then updated to ensure that sufficient energy can be provided during peak hours. The update equation for the hydrogen reserve is:

[0100] or,

[0101]

[0102] Among them, P h2，charge，t+k is the output power corresponding to the amount of hydrogen filled at time t+k-1, E h2，t+kis the hydrogen reserve at time t+1, E h2，t+k is the hydrogen reserve at time t+k, Δt1 is configured as P h2，t+k -1 is the time change from time t+k-1 to time t+k; Δt2 is configured as P h2，charge，t+k-1 The time change corresponding to the time from time t+k-2 to t+k-1; generally, the time intervals between the times are equal, Δt1=Δt2.

[0103] In the embodiment of the present disclosure and other possible embodiments, whether to further charge the hydrogen energy storage is determined based on the updated hydrogen reserve. For example, if the current hydrogen reserve is less than the updated hydrogen reserve, the hydrogen energy storage is further charged with hydrogen; otherwise, the hydrogen energy storage is not further charged with hydrogen.

[0104] In the embodiments of the present disclosure and other possible embodiments, the method for updating the hydrogen reserve amount corresponding to the set time or set multiple moments based on the change in the hydrogen reserve and the hydrogen reserve amount corresponding to the time before the set time or set multiple moments includes: adding the change in the hydrogen reserve to the hydrogen reserve amount corresponding to the time before the set time or set multiple moments, and updating the hydrogen reserve amount corresponding to the set time or set multiple moments.

[0105] In the embodiments of the present disclosure and other possible embodiments, it also includes: dynamically adjusting the amount of hydrogen corresponding to the hydrogen energy storage based on the updated hydrogen reserve. Wherein, the method for dynamically adjusting the amount of hydrogen corresponding to the hydrogen energy storage based on the updated hydrogen reserve includes: obtaining the maximum hydrogen reserve corresponding to the maximum hydrogen energy storage output power; in the process of using the hydrogen energy storage for power supply, if the hydrogen reserve corresponding to the set time or set multiple times is less than the updated hydrogen reserve and less than the maximum hydrogen reserve, then further charging the hydrogen energy storage based on the updated hydrogen reserve; otherwise, the hydrogen energy storage is not further charged with hydrogen at this time, until the hydrogen reserve corresponding to the set time or set multiple times is less than the updated hydrogen reserve and less than the maximum hydrogen reserve, and then further charging the hydrogen energy storage based on the updated hydrogen reserve.

[0106] In an embodiment of the present disclosure, it also includes: real-time detection of the power demand load at the current moment, the hydrogen energy storage output power at the current moment, or the power demand forecast load corresponding to the current moment in the set moment or set multiple moments (using the power demand forecast model corresponding to the electric hydrogen energy storage system to predict the power demand load corresponding to the set moment or set multiple moments, that is, the power demand forecast load) or the minimum predicted output power (the minimum output power of the hydrogen energy storage in the electric hydrogen energy storage system corresponding to the set moment or set multiple moments, that is, the minimum predicted output power); based on the power demand load at the current moment and the hydrogen energy storage output power at the current moment or the power demand forecast load or the minimum predicted output power, the hydrogen energy storage in the electric hydrogen energy storage system is adjusted to battery energy storage for power supply.

[0107] In an embodiment of the present disclosure, the method of adjusting the hydrogen energy storage in the electric hydrogen energy storage system to battery energy storage for power supply includes: calculating the load / power difference between the power demand load at the current moment and the hydrogen energy storage output power or the minimum predicted output power at the current moment (the output power of the battery energy storage at the current moment); based on the load / power difference and the conversion efficiency of the battery corresponding to the battery energy storage, updating the storage capacity corresponding to the current moment.

[0108] In an embodiment of the present disclosure, the method for updating the storage capacity corresponding to the current moment based on the load / power difference and the conversion efficiency of the battery corresponding to the battery energy storage includes: determining the load / power difference under the time variation corresponding to the current moment and the moment before it; determining the change in storage capacity using the load / power difference under the time variation and the conversion efficiency of the battery; updating the storage capacity corresponding to the current moment based on the change in storage capacity and the storage capacity corresponding to the moment before it.

[0109] In an embodiment of the present disclosure, before determining the load / power difference value under the time variation corresponding to the current moment t and the previous moment, determining includes: multiplying the time variation Δt corresponding to the current moment t and the previous moment by the load / power difference value corresponding to the current moment (the output power of the battery energy storage at the moment t) P bat，t , determine the load / power difference P under the time variation corresponding to the current moment and the previous moment bat，t ·Δt; or, the load / power difference corresponding to the current moment minus the load / power difference P corresponding to the current moment and the moment before (eg, the previous moment) in determining the current moment bat，t -P bat，t-1 , determine the load / power difference P under the time variation corresponding to the current time t and the time t-1 before bat，t -P bat，t-1 .

[0110] In an embodiment of the present disclosure, the method for determining the change in the amount of stored electricity by using the load / power difference under the time change and the conversion efficiency of the battery comprises: converting the load / power difference P under the time change Δt into bat，t Δt or P bat，t -P bat，t-1 Divide by the battery conversion efficiency η bat , and obtain the corresponding change (power consumption)

[0111] In an embodiment of the present disclosure, the method for updating the storage capacity corresponding to the current moment based on the change in the storage capacity and the storage capacity corresponding to the moment before the moment (e.g., the previous moment) includes: using the storage capacity E at the moment before the current moment bat，t-1 Subtract the change Update the current storage capacity E bat，t .

[0112] In the embodiments of the present disclosure and other possible embodiments, battery energy storage responds quickly and is suitable for regulating power demand load fluctuations in short periods of time. It is used to handle unpredictable rapid fluctuations in power demand load in short periods of time (minutes), or when hydrogen energy storage cannot fully meet the current power demand load, battery energy storage will urgently provide the required electricity.

[0113] In the embodiment of the present disclosure and other possible embodiments, the energy storage system monitors the power demand load P at the current time t in real time. load，t , and compare the power provided by battery energy storage with that provided by hydrogen energy storage (hydrogen energy storage output power). If the hydrogen energy storage power output capacity (hydrogen energy storage output power) corresponding to hydrogen energy storage is P h2，t Cannot fully satisfy (P h2，t <P load，t ) The power demand load P at the current time t load，t , then battery storage will immediately intervene:

[0114] P bat，t =P load，t -P h2，t .

[0115] Where: P bat，t is the output power of the battery energy storage at time t (load / power difference).

[0116] In the embodiments of the present disclosure and other possible embodiments, the energy update equation of battery energy storage may be configured as:

[0117]

[0118] Among them, E bat，t is the stored electricity at time t, E bat，t-1 is the storage capacity at time t-1; the conversion efficiency of the battery is η bat ;Δt is configured as P bat，t The time change corresponding to the time t-1 to t;

[0119] In the embodiment of the present disclosure and other possible embodiments, when the power demand forecasting model predicts the future power demand load change, the energy storage system control model will be scheduled in advance according to the prediction, so the response time t response No longer limited to the physical response time of hydrogen storage, it can be activated in advance through prediction.

[0120] In the embodiments of the present disclosure and other possible embodiments, it also includes: obtaining the predicted power demand load corresponding to the set time or multiple times predicted by the power demand forecasting model; if the predicted power demand load corresponding to a certain time in the set time or multiple times is less than the actual power demand load corresponding to the certain time, the hydrogen energy storage in the electric hydrogen energy storage system is adjusted to battery energy storage for power supply. This solves the current technical problem that the load fluctuations at the minute / second level are not processed and the advantages of battery energy storage are not effectively utilized.

[0121] In the embodiments of the present disclosure and other possible embodiments, if the prediction is accurate, the energy storage system can minimize the use of battery energy storage; if the short-term power demand load fluctuation is not accurately predicted, the battery energy storage will be responsible for rapid response. Therefore, the switching mechanism of the system can be defined as:

[0122]

[0123] The embodiment of the present disclosure also proposes another dynamic control method for electric hydrogen energy storage, including: obtaining the power demand load corresponding to the electric hydrogen energy storage system at the current moment and the output power, maximum storage capacity, minimum storage capacity, storage capacity or updated storage capacity of the battery energy storage in the electric hydrogen energy storage system; using the power demand prediction model corresponding to the electric hydrogen energy storage system to set the power demand prediction load at a set moment or multiple moments after the current moment, and based on the power demand prediction load corresponding to the set moment or multiple moments, the hydrogen energy conversion efficiency and maximum hydrogen energy output power corresponding to the hydrogen energy storage in the electric hydrogen energy storage system, determine the minimum output power of the hydrogen energy storage in the electric hydrogen energy storage system at the set moment or multiple moments; based on the power demand load P at the current moment t load，t , the output power P of the battery energy storage bat，t , Maximum storage capacity E bat，max , minimum storage capacity E bat，min, storage capacity or updated storage capacity E bat，t 、The minimum output power P of the hydrogen energy storage h2，t , determine the objective function; while maximizing the utilization of the hydrogen energy storage, minimize the usage frequency and / or depth of discharge of the battery in the battery energy storage, and determine the battery optimized output power and hydrogen energy storage optimized output power of the electric hydrogen energy storage system at the current moment based on the objective function. Among them, more relevant content in the other dynamic control method of electric hydrogen energy storage can be found in the description of the above method.

[0124] In an embodiment of the present disclosure, the method for determining the objective function based on the power demand load at the current moment, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity of the battery energy storage, and the minimum output power of the hydrogen energy storage, includes: determining the battery energy storage output power ratio corresponding to the objective function according to the power demand load at the current moment and the output power corresponding to the battery energy storage; determining the hydrogen energy storage output power ratio corresponding to the objective function according to the power demand load at the current moment and the minimum output power of the hydrogen energy storage; determining the discharge depth percentage corresponding to the objective function according to the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity of the battery energy storage; constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage.

[0125] In an embodiment of the present disclosure, the method for constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage also includes: respectively obtaining the first weight coefficient α, the second weight coefficient β, and the third weight coefficient γ corresponding to the battery energy storage output power ratio, the discharge depth percentage and the hydrogen energy storage output power ratio; respectively calculating the first weight coefficient, the second weight coefficient, and the third weight coefficient for the battery energy storage output power ratio The depth of discharge percentage And the hydrogen energy storage output power ratio Perform weight allocation; based on the battery energy storage output power ratio after weight allocation The hydrogen energy storage output power ratio And the discharge depth percentage β Construct the objective function.

[0126] In the embodiments of the present disclosure and other possible embodiments, it is necessary to optimize energy storage scheduling, with the goal of minimizing the frequency of use and depth of discharge of batteries in battery energy storage while maximizing the utilization of hydrogen energy storage. The optimization algorithm here uses a simulated annealing (GA) algorithm as an example, and the objective function is:

[0127]

[0128] The depth of charge at time t / maximum storage capacity, indicating the percentage of discharge depth.

[0129] Among them, α, β, and γ are configured as the first weight coefficient, the second weight coefficient, and the third weight coefficient, respectively, representing the battery usage frequency, the cost of deep discharge, and the utilization effect of hydrogen energy storage; P bat,t is the power output (output power) of the battery energy storage system (battery energy storage) at time t; P load,t is the power demand load corresponding to the battery energy storage system at the current time t; P bat,max is the maximum power output of the battery energy storage system; E bat,t is the energy state of the battery energy storage system at time t; E bat,min The minimum energy storage limit (minimum storage capacity) of the battery energy storage system (battery energy storage); E bat,max The maximum energy storage limit (maximum storage capacity) of the battery energy storage system (battery energy storage); P h2,t is the power output of the hydrogen energy storage system at time t; P h2,max The maximum power output of the hydrogen energy storage system; T is configured as the end time, [1,2,3,..,k,…,T].

[0130] In the embodiment of the present disclosure and other possible embodiments, the battery power output should be limited to its maximum power output P bat,max Within:

[0131] 0≤P bat,t ≤P bat,max

[0132] In the embodiments of the present disclosure and other possible embodiments, the energy state of the battery should be maintained between the maximum and minimum capacities allowed:

[0133] E bat,min ≤E bat,t ≤E bat,max

[0134] In the embodiment of the present disclosure and other possible embodiments, the hydrogen energy storage power output also has an upper limit and cannot exceed its maximum power output P h2,max :

[0135] 0≤P h2，t ≤P h2，max

[0136] In the embodiment of the present disclosure and other possible embodiments, the energy state E of hydrogen energy storage is h2，t There are also capacity restrictions:

[0137] Eh2，min ≤E h2，t ≤E h2,max

[0138] In the embodiment of the present disclosure and other possible embodiments, the decision variables are: battery power output (battery output power) p bat，t ; Hydrogen energy storage power output (hydrogen energy storage output power) P h2，t .

[0139] In the embodiment of the present disclosure and other possible embodiments, initialization: selecting an initial solution (for example, randomly generating an initial battery output power p bat，t0 and the initial hydrogen storage output power P h2，t0 ); Set the initial temperature TE0. The choice of the initial temperature TE0 can affect the convergence speed and global search ability of the algorithm. Set the cooling rate β (usually 0.8 to 0.99); the cooling rate 3 determines the rate of temperature drop. Define the stopping criteria of the algorithm, such as the maximum number of iterations or the temperature drops to a certain set temperature threshold.

[0140] In the embodiment of the present disclosure and other possible embodiments, the simulated annealing process is: a certain number of iterations are performed at each temperature reduced after the initial temperature TE0, and a small amplitude perturbation (about ±5%-±15%) is performed on the current solution (current battery output power, current hydrogen energy storage output power) to generate a new solution (new battery output power p bat,tn And the new hydrogen storage output power P h2，tn ). Calculate the objective function values ​​corresponding to the current solution and the new solution respectively. If the objective function value of the new solution is better (smaller), accept the new solution as the current solution. If the objective function value of the new solution is worse, accept the new solution with a certain probability to avoid falling into the local optimum.

[0141] In the embodiment of the present disclosure and other possible embodiments, this probability is given by:

[0142] Among them, Current Cost and New Cost are the objective function values ​​corresponding to the current solution and the new solution respectively, and TE is the current temperature. The temperature is updated according to the cooling rate β: TE*β. If the stopping criterion is met (for example, the temperature drops to close to 0 (such as less than 0.01), or the number of iterations reaches a preset maximum value (such as 1000 times), or the improvement of the solution for multiple consecutive times (such as 10 times) is less than a certain set threshold (such as 0.001), the algorithm stops; otherwise, simulated annealing is performed again.

[0143] In the embodiment of the present disclosure and other possible embodiments, in all iterations, the solution with the minimum objective function value is selected as the final optimization result: the battery optimized output power p corresponding to any time t (1, 2, .., T) bat，t,opt 、The optimized output power P of hydrogen energy storage corresponding to any time t (1, 2, .., T) h2，t，opt .

[0144] In the embodiment of the present disclosure and other possible embodiments, the hydrogen energy storage needs to be heated to the operating temperature in advance and ventilation preparation is performed in advance, and the output power P of the hydrogen energy storage corresponding to the time t is optimized. h2，t，opt Respond in advance to achieve power output at the corresponding moment.

[0145] In the embodiments of the present disclosure and other possible embodiments, the method for determining the updated storage capacity includes: determining the load / power difference under the time variation corresponding to the current moment and the moment before the current moment; determining the change in storage capacity using the load / power difference under the time variation and the conversion efficiency of the battery; and updating the storage capacity corresponding to the current moment (updated storage capacity) based on the change in storage capacity and the storage capacity corresponding to the moment before the current moment.

[0146] In the embodiments of the present disclosure and other possible embodiments, the method for determining the minimum output power of hydrogen energy storage in the electric-hydrogen energy storage system at a set time or set multiple times based on the predicted power demand load corresponding to the set time or set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power includes: determining the hydrogen energy storage output power corresponding to the predicted power demand load based on the predicted power demand load corresponding to the set time or set multiple times and the hydrogen energy conversion efficiency; determining the minimum output power of hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or set multiple times from the maximum hydrogen energy storage output power and the hydrogen energy output power corresponding to the predicted power demand load.

[0147] The execution subject of the dynamic regulation method of electric hydrogen energy storage may be a dynamic regulation system or device of electric hydrogen energy storage. For example, the dynamic regulation method of electric hydrogen energy storage may be executed by a terminal device or a server or other processing device, wherein the terminal device may be a user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. In some possible implementations, the dynamic regulation method of electric hydrogen energy storage may be implemented by a processor calling a computer-readable instruction stored in a memory.

[0148] Those skilled in the art can understand that in the above-mentioned dynamic control method of electric hydrogen energy storage in the specific implementation mode, the writing order of each step does not mean a strict execution order and constitutes any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0149] In an embodiment of the present disclosure, a corresponding electric-hydrogen energy storage dynamic control system is also proposed, including: a prediction unit, used to predict the power demand load corresponding to the set time or set multiple times by using the power demand prediction model corresponding to the electric-hydrogen energy storage system; a first determination unit, used to determine the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system at the set time or set multiple times according to the power demand load corresponding to the set time or set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy output power; a control unit, used to determine the hydrogen reserve amount corresponding to the set time or set multiple times based on the minimum output power corresponding to the set time or set multiple times, the output power corresponding to the amount of hydrogen charged at the time before the set time or the set multiple times, the hydrogen energy conversion efficiency and the hydrogen reserve amount.

[0150] In the embodiment of the present disclosure, a corresponding electric hydrogen energy storage dynamic control system is also proposed, including: an acquisition unit, used to obtain the power demand load corresponding to the electric hydrogen energy storage system at the current moment and the output power, maximum storage capacity, minimum storage capacity, storage capacity or updated storage capacity of the battery energy storage in the electric hydrogen energy storage system; a second determination unit, used to use the power demand prediction model corresponding to the electric hydrogen energy storage system to set the power demand prediction load at a time or multiple times after the current moment, and based on the power demand prediction load corresponding to the set time or multiple times, the conversion efficiency of hydrogen energy corresponding to the hydrogen energy storage in the electric hydrogen energy storage system and the maximum hydrogen storage capacity The electric hydrogen energy storage system can output power, determine the minimum output power corresponding to the hydrogen energy storage at a set time or multiple set times in the electric hydrogen energy storage system; an objective function determination unit, for determining the objective function based on the power demand load at the current time, the output power of the battery energy storage, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity, and the minimum output power of the hydrogen energy storage; an optimization unit, for minimizing the frequency of use and / or deep discharge of the battery in the battery energy storage while maximizing the utilization of the hydrogen energy storage, and determining the battery optimized output power and the hydrogen energy storage optimized output power of the electric hydrogen energy storage system at the current time based on the objective function.

[0151] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to call the instructions stored in the memory to implement the above-mentioned dynamic control method.

[0152] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising: a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions implement the above-mentioned dynamic control method when executed by a processor.

[0153] According to one aspect of the present disclosure, there is provided an electric hydrogen energy storage dynamic control system, comprising: a computer program product, including a computer program / instruction, which implements the above-mentioned dynamic control method when executed by a processor.

[0154] In the embodiments of the present disclosure, a dynamic control method of electric hydrogen energy storage and a technical solution corresponding to the dynamic control system of electric hydrogen energy storage are proposed to solve the technical problem that there is currently no utilization of the hydrogen energy storage system to respond to the load in advance, thereby increasing the utilization of battery energy storage and further increasing the cost.

[0155] In the embodiments of the present disclosure and other possible embodiments, once a battery energy storage system or hydrogen energy storage system fails, the system will automatically switch to backup mode or adjust the output of the remaining energy storage system to ensure uninterrupted power supply. At the same time, the system can also monitor the health status of the energy storage equipment and detect potential problems in advance.

[0156] The above-mentioned dynamic regulation based on power demand forecasting and optimization algorithm realizes efficient and rapid response to the power grid, enabling energy storage equipment to work in an efficient and intelligent manner under different load conditions.

[0157] In some embodiments, the functions or modules included in the device provided in the embodiments of the present disclosure can be used to execute the method described in the above embodiment of the dynamic control method of electric hydrogen energy storage. Its specific implementation can refer to the description of the above embodiment of the dynamic control method of electric hydrogen energy storage. For the sake of brevity, it will not be repeated here.

[0158] The embodiment of the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the above-mentioned dynamic control method of electric hydrogen energy storage is implemented. The computer-readable storage medium may be a non-volatile computer-readable storage medium.

[0159] The embodiment of the present disclosure also proposes an electronic device, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured as the above-mentioned dynamic control method of electric hydrogen energy storage. The electronic device can be provided as a terminal, a server or other forms of equipment.

[0160] In summary, the electric-hydrogen hybrid energy storage system of the present application optimizes the use ratio of batteries and hydrogen energy storage through intelligent regulation, thereby improving the accuracy and response speed of load forecasting. The early response of hydrogen energy storage reduces the demand for battery energy storage, reduces the frequency of battery use and deep discharge, prolongs battery life and reduces costs.

[0161] The key points of this application plan are: optimizing the scheduling of batteries and hydrogen energy storage through real-time monitoring and prediction of load demand; hydrogen energy storage early response mechanism, making full use of the cost advantage of hydrogen energy storage and reducing the use of batteries; optimized mathematical model, accurately scheduling short-term and long-term load demand.

[0162] Figure 2 8 is a block diagram of an electronic device 800 according to an exemplary embodiment. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

[0163] Reference Figure 2 , the electronic device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input / output (I / O) interface 812 , a sensor component 814 , and a communication component 816 .

[0164] The processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0165] The memory 804 is configured to store various types of data to support operations on the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phone book data, messages, pictures, videos, etc. The memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0166] The power supply component 806 provides power to the various components of the electronic device 800. The power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 800.

[0167] The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the electronic device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0168] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC), and when the electronic device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 804 or sent via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

[0169] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0170] The sensor assembly 814 includes one or more sensors for providing various aspects of status assessment for the electronic device 800. For example, the sensor assembly 814 can detect the open / closed state of the electronic device 800, the relative positioning of the components, such as the display and keypad of the electronic device 800, and the sensor assembly 814 can also detect the position change of the electronic device 800 or a component of the electronic device 800, the presence or absence of contact between the user and the electronic device 800, the orientation or acceleration / deceleration of the electronic device 800, and the temperature change of the electronic device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0171] The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0172] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above methods.

[0173] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 804 including computer program instructions, which can be executed by a processor 820 of an electronic device 800 to perform the above method.

[0174] Figure 3 1 is a block diagram of an electronic device 1900 according to an exemplary embodiment. For example, the electronic device 1900 may be provided as a server. Figure 3, the electronic device 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions executable by the processing component 1922, such as an application. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

[0175] The electronic device 1900 may also include a power supply component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input / output (I / O) interface 1958. The electronic device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

[0176] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the electronic device 1900 to perform the above method.

[0177] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0178] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0179] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0180] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0181] Various aspects of the present disclosure are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0182] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0183] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0184] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of special hardware and computer instructions.

[0185] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A dynamic control method for electric hydrogen energy storage, characterized in that: include: The power demand forecasting model corresponding to the electric hydrogen energy storage system is used to forecast the power demand load corresponding to a set time or multiple set times; Determine the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or the set multiple times according to the power demand load corresponding to the set time or the set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power; The hydrogen reserve amount corresponding to the set time or the set multiple times is determined based on the minimum output power corresponding to the set time or the set multiple times, the output power corresponding to the amount of hydrogen charged at the set time or the time before the set multiple times, the hydrogen energy conversion efficiency and the hydrogen reserve amount.

2. The dynamic control method according to claim 1, characterized in that: Before using the power demand prediction model corresponding to the electric hydrogen energy storage system to predict the power demand load corresponding to a set time or multiple set times, the power demand prediction model is established, and the method includes: obtaining a set neural network or convolutional neural network and corresponding historical load data, and using the historical load data to train the set neural network or convolutional neural network to obtain the power demand prediction model corresponding to the electric hydrogen energy storage system; wherein the historical load data at least includes: historical power demand load; and / or, The historical load data further includes: external factor data affecting the historical power demand load; and / or, the external factor data corresponding to the historical power demand load at least includes: one or more of temperature, humidity, seasonal changes and holiday information; and / or, Before using the historical load data to train the set neural network or convolutional neural network, the historical load data is processed to remove outliers or fill in missing values; and / or, before using the historical load data to train the set neural network or convolutional neural network, it also includes: normalizing the historical load data; and / or, the set neural network or convolutional neural network is configured as a long short-term memory network or a network improved based on it.

3. The dynamic control method according to any one of claims 1 to 2, characterized in that: The method for determining the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or set multiple times according to the power demand load corresponding to the set time or set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power, comprises: determining the hydrogen energy storage output power corresponding to the power demand load based on the power demand load corresponding to the set time or set multiple times and the hydrogen energy conversion efficiency; determining the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or set multiple times from the maximum hydrogen energy storage output power and the hydrogen energy output power corresponding to the power demand load; and / or, The method for determining the hydrogen reserve amount corresponding to the set time or set multiple moments based on the minimum output power corresponding to the set time or set multiple moments, the output power corresponding to the amount of hydrogen charged corresponding to the time before the set time or set multiple moments, the conversion efficiency of the hydrogen energy and the hydrogen reserve amount, comprises: respectively determining the output power and the minimum output power corresponding to the amount of hydrogen charged under the time variation corresponding to the set time or set multiple moments and the time before the set time; determining the variation of hydrogen reserve by using the output power and the minimum output power corresponding to the amount of hydrogen charged under the time variation; updating the hydrogen reserve amount corresponding to the set time or set multiple moments based on the variation of hydrogen reserve and the hydrogen reserve amount corresponding to the time before the set time or set multiple moments.

4. The dynamic control method according to claim 3, characterized in that: The method for respectively determining the minimum output power corresponding to the amount of hydrogen charged under the time variation corresponding to the set moment or multiple set moments and the moments before the set moment, comprises: multiplying the time variation corresponding to the set moment or multiple set moments at the previous moment by the output power corresponding to the amount of hydrogen charged at the set moment or multiple set moments at the previous moment, to determine the output power corresponding to the amount of hydrogen charged under the time variation; or, subtracting the output power corresponding to the amount of hydrogen charged at the previous moment before the previous moment from the output power corresponding to the amount of hydrogen charged at the set moment or multiple set moments at the previous moment, to determine the output power corresponding to the amount of hydrogen charged under the time variation; and / or, The method for respectively determining the minimum output power corresponding to the amount of hydrogen filled under the time variation corresponding to the set moment or multiple set moments and the moments before the set moment, comprises: multiplying the time variation corresponding to the set moment or multiple set moments by the minimum output power corresponding to the set moment or multiple set moments to determine the minimum output power under the time variation; or, subtracting the minimum output power corresponding to the previous moment before the set moment or multiple set moments from the minimum output power corresponding to the set moment or multiple set moments to determine the minimum output power under the time variation; and / or, The method for determining the change in hydrogen reserves by using the output power and minimum output power corresponding to the amount of hydrogen charged under the time change includes: subtracting the minimum output power under the time change from the output power corresponding to the amount of hydrogen charged under the time change to obtain the corresponding output power change; dividing the output power change by the hydrogen energy conversion efficiency to obtain the corresponding gas reserve change; or, dividing the output power corresponding to the amount of hydrogen charged under the time change by the hydrogen energy conversion efficiency to obtain the hydrogen increase change; dividing the minimum output power under the time change by the hydrogen energy conversion efficiency to obtain the hydrogen consumption; and determining the change in hydrogen reserves by subtracting the hydrogen consumption from the hydrogen increase change.

5. The dynamic control method according to any one of claims 1 to 4, characterized in that: Also includes: Real-time detection of the power demand load at the current moment, the hydrogen energy storage output power at the current moment, or the power demand forecast load or minimum forecast output power corresponding to the current moment in the set moment or multiple set moments; Based on the power demand load at the current moment and the hydrogen energy storage output power or the power demand forecast load or the minimum forecast output power at the current moment, adjusting the hydrogen energy storage in the electric hydrogen energy storage system to battery energy storage for power supply; and / or, The method of adjusting the hydrogen energy storage in the electric hydrogen energy storage system to battery energy storage for power supply based on the power demand load at the current moment and the hydrogen energy storage output power or the power demand forecast load or the minimum forecast output power at the current moment comprises: if the power demand load at the current moment is less than one or more of the hydrogen energy storage output power or the power demand forecast load or the minimum forecast output power at the current moment, adjusting the hydrogen energy storage in the electric hydrogen energy storage system to battery energy storage for power supply; and / or, The method for adjusting the hydrogen energy storage in the electric hydrogen energy storage system to battery energy storage for power supply includes: calculating the load / power difference between the power demand load at the current moment and the hydrogen energy storage output power or the minimum predicted output power at the current moment; based on the load / power difference and the conversion efficiency of the battery corresponding to the battery energy storage, updating the storage capacity corresponding to the current moment.

6. The dynamic control method according to claim 5, characterized in that: The method for updating the storage capacity corresponding to the current moment based on the load / power difference and the conversion efficiency of the battery corresponding to the battery energy storage comprises: determining the load / power difference under the time variation corresponding to the current moment and the moment before; determining the variation of storage capacity by using the load / power difference under the time variation and the conversion efficiency of the battery; updating the storage capacity corresponding to the current moment based on the variation of storage capacity and the storage capacity corresponding to the moment before the moment; and / or, Before determining the load / power difference value under the time variation corresponding to the current moment and the moment before it, determining includes: multiplying the time variation corresponding to the current moment and the moment before it by the load / power difference value corresponding to the current moment, to determine the load / power difference value under the time variation corresponding to the current moment and the moment before it; or subtracting the load / power difference value corresponding to the current moment from the load / power difference value corresponding to the current moment during the determination of the current moment and the moment before it, to determine the load / power difference value under the time variation corresponding to the current moment and the moment before it; and / or, The method for determining the change in the amount of stored electricity by using the load / power difference under the time change and the conversion efficiency of the battery comprises: dividing the load / power difference under the time change by the conversion efficiency of the battery to obtain the corresponding change; and / or, The method for updating the storage capacity corresponding to the current moment based on the change in the storage capacity and the storage capacity corresponding to the moment before the moment includes: subtracting the change in the storage capacity from the moment before the current moment to update the storage capacity corresponding to the current moment.

7. A dynamic control method for electric hydrogen energy storage, characterized in that: include: Obtaining the power demand load corresponding to the electric hydrogen energy storage system at the current moment and the output power, maximum storage capacity, minimum storage capacity, storage capacity or updated storage capacity of the battery energy storage in the electric hydrogen energy storage system; Using the power demand forecasting model corresponding to the electric hydrogen energy storage system to set a power demand forecasting load at a set time or multiple times after the current time, and based on the power demand forecasting load corresponding to the set time or multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric hydrogen energy storage system, and the maximum hydrogen energy output power, determine the minimum output power of the hydrogen energy storage in the electric hydrogen energy storage system corresponding to the set time or multiple times; Determine an objective function based on the power demand load at the current moment, the output power of the battery energy storage, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity, and the minimum output power of the hydrogen energy storage; While maximizing the utilization of the hydrogen energy storage, the usage frequency and / or depth of discharge of the battery in the battery energy storage is minimized, and the battery optimized output power and the hydrogen energy storage optimized output power of the electric hydrogen energy storage system at the current moment are determined based on the objective function.

8. The dynamic control method according to claim 7, characterized in that: The method for determining the objective function based on the power demand load at the current moment, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity of the battery energy storage, and the minimum output power of the hydrogen energy storage, includes: determining the battery energy storage output power ratio corresponding to the objective function according to the power demand load at the current moment and the output power corresponding to the battery energy storage; determining the hydrogen energy storage output power ratio corresponding to the objective function according to the power demand load at the current moment and the minimum output power of the hydrogen energy storage; determining the discharge depth percentage corresponding to the objective function according to the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity of the battery energy storage; constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage; and / or, The method for constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage also includes: respectively obtaining the first weight coefficient, the second weight coefficient, and the third weight coefficient corresponding to the battery energy storage output power ratio, the discharge depth percentage and the hydrogen energy storage output power ratio; respectively weighting the battery energy storage output power ratio, the discharge depth percentage and the hydrogen energy storage output power ratio to the first weight coefficient, the second weight coefficient, and the third weight coefficient; constructing the objective function based on the battery energy storage output power ratio, the hydrogen energy storage output power ratio and the discharge depth percentage after weight allocation.

9. An electric hydrogen energy storage dynamic control system, characterized in that: include: A prediction unit, used to predict the power demand load corresponding to a set time or multiple set times using a power demand prediction model corresponding to the electric hydrogen energy storage system; A first determining unit is used to determine the minimum output power of the hydrogen energy storage in the electric-hydrogen energy storage system corresponding to the set time or the set multiple times according to the power demand load corresponding to the set time or the set multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric-hydrogen energy storage system, and the maximum hydrogen energy storage output power; A control unit, for determining the hydrogen reserve amount corresponding to the set time or the set multiple times based on the minimum output power corresponding to the set time or the set multiple times, the output power corresponding to the amount of hydrogen charged at the set time or the time before the set multiple times, the conversion efficiency of the hydrogen energy and the hydrogen reserve amount; or, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the dynamic control method according to any one of claims 1 to 6; or, The method comprises: a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the dynamic control method according to any one of claims 1 to 6; or The invention comprises: a computer program product, comprising a computer program / instruction, wherein when the computer program / instruction is executed by a processor, the dynamic control method according to any one of claims 1 to 6 is implemented.

10. An electric hydrogen energy storage dynamic control system, characterized in that: include: An acquisition unit, used to acquire the power demand load corresponding to the electric hydrogen energy storage system at the current moment and the output power, maximum storage capacity, minimum storage capacity, storage capacity or updated storage capacity of the battery energy storage in the electric hydrogen energy storage system; A second determination unit is used to use the power demand forecasting model corresponding to the electric hydrogen energy storage system to set a power demand forecast load at a set time or multiple times after the current time, and determine the minimum output power of the hydrogen energy storage in the electric hydrogen energy storage system corresponding to the set time or multiple times based on the power demand forecast load corresponding to the set time or multiple times, the hydrogen energy conversion efficiency corresponding to the hydrogen energy storage in the electric hydrogen energy storage system, and the maximum hydrogen energy storage output power; An objective function determination unit, configured to determine an objective function based on the power demand load at the current moment, the output power of the battery energy storage, the maximum storage capacity, the minimum storage capacity, the storage capacity or the updated storage capacity, and the minimum output power of the hydrogen energy storage; an optimization unit, configured to minimize the usage frequency and / or depth of discharge of batteries in the battery energy storage while maximizing the utilization of the hydrogen energy storage, and determine the battery optimized output power and the hydrogen energy storage optimized output power of the electric hydrogen energy storage system at the current moment based on the objective function; or, Comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the dynamic control method according to any one of claims 7 to 8; or, Comprising: a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the dynamic control method according to any one of claims 7 to 8; or, Comprising: a computer program product, comprising a computer program / instruction, which implements the dynamic control method described in any one of claims 7 to 8 when executed by a processor.

Images