ALK-PEM joint operation method and system considering start-stop state
By analyzing the start-stop characteristics of the ALK-PEM electrolytic cell and determining the optimal real-time power distribution solution, the problem of frequent start-stop of the electrolytic cell in the prior art is solved, the economics and safety of the system are improved, and the service life of the equipment is extended.
Patent Information
- Application Number
- CN202411715838.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2025-04-08
AI Technical Summary
The prior art ignores the start-stop characteristics of the electrolytic cell in the joint operation of ALK-PEM, resulting in frequent start-stop increasing energy consumption and reducing equipment service life.
By analyzing the start-stop characteristics of each time scale of ALK-PEM, we determine the real-time power optimal allocation scheme for two types of electrolytic cells, and optimize the operation strategy to reduce the number of start-stops.
It improves the economy and safety of the power system, extends the working life of the electrolytic cell, and avoids repeated start and stop problems.
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Figure CN119787499A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of wind and solar energy storage, and in particular to an ALK-PEM joint operation method and system taking start and stop states into consideration. Background Art
[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.
[0003] At present, the main green hydrogen production technologies are alkaline (ALK) electrolysis and proton exchange membrane (PEM) electrolysis. The normalized comparison of the load range, startup time, hydrogen production, equipment cost and dynamic response time of ALK electrolyzer and PEM electrolyzer is shown in Figure 2. Figure 1 As shown in the figure, the ALK water electrolysis hydrogen production equipment has a low cost, but has shortcomings such as poor compatibility with fluctuating power supplies; compared with the ALK electrolyzer, the PEM water electrolysis hydrogen production equipment has a high cost, but can withstand a large voltage difference and has good compatibility with fluctuating power supplies.
[0004] The existing technology takes into account the combined operation of ALK-PEM to give full play to the advantages of the two types of electrolyzers, but ignores the impact of the start-stop characteristics of the electrolyzer on green electricity hydrogen production, which will lead to frequent start-stop of the electrolyzer, increasing energy consumption while reducing the service life of the equipment. Summary of the invention
[0005] In order to solve the above technical problems, the present invention provides an ALK-PEM joint operation method and system taking into account the start-stop status, which determines the real-time optimal power allocation scheme of the two types of electrolytic cells by analyzing the start-stop characteristics of ALK-PEM at each time scale (including start-stop status, minimum start-stop time and hot standby, etc.), thereby improving the economy and safety of the power system.
[0006] In order to achieve the above object, the present invention adopts the following technical solution:
[0007] A first aspect of the present invention provides an ALK-PEM joint operation method taking start-stop status into consideration.
[0008] In one or more embodiments, a method for ALK-PEM joint operation considering start-stop status is provided, comprising:
[0009] Cluster the wind power and photovoltaic power data of the set area to obtain several wind-solar clustering scenarios;
[0010] Based on wavelet decomposition, the original wind-solar power in each wind-solar clustering scene is decomposed into low-frequency components and high-frequency components;
[0011] The low-frequency component and high-frequency component obtained by wavelet decomposition are input into the ALK and PEM electrolyzers respectively. According to the start-stop characteristics of the ALK and PEM electrolyzers, the start-stop state, minimum start-stop time, forced start-stop and overload operation of the ALK and PEM electrolyzers are considered to determine the optimal power allocation scheme for the ALK and PEM electrolyzers.
[0012] As an implementation method, the objective function of the optimal power allocation scheme for ALK and PEM electrolyzers is:
[0013] The sum of the electrolytic cell startup cost, electrolytic cell shutdown cost and electrolytic cell operating cost is the smallest.
[0014] As an implementation method, in the process of solving the objective function of the optimal power allocation plan for LK and PEM electrolyzers, the constraints include energy storage operation constraints, electrolyzer characteristic constraints, electrolyzer start and stop constraints, electrolyzer minimum start and stop time constraints, hot standby constraints, electrolyzer climbing constraints, PEM electrolyzer overload continuous operation time constraints and electric power balance constraints.
[0015] As an implementation method, the objective function of the optimal power allocation scheme for ALK and PEM electrolyzers is expressed as:
[0016] minf=F csu +F csd +F p
[0017]
[0018]
[0019] Where: T is the entire scheduling period; F csu is the electrolytic cell startup cost; F csd F is the stopping cost of the electrolytic cell; p is the electrolytic cell operating cost; μ t and I t are the start and stop states of ALK and PEM electrolyzer at time t respectively; μ t-1 and I t-1 are the start and stop states of ALK and PEM electrolyzers at time t-1, respectively; and are the startup costs of ALK electrolyzer and PEM electrolyzer respectively; and are the stopping costs of ALK electrolyzer and PEM electrolyzer respectively; ν ALK and ν PEM are the unit time operation costs of ALK and PEM respectively; P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t;t PEM It is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t.
[0020] As an implementation method, the power regulation range of the ALK electrolyzer and the PEM electrolyzer is as follows, wherein the PEM electrolyzer can be overloaded and run continuously for a period of time:
[0021] 0.4PA ALKN P t ALK P ALKN
[0022] 0.05P PEMN ≤P t PEM ≤1.2P PEMN
[0023] Where: P ALKN and P PEMN are the rated powers of ALK electrolyzer and PEM electrolyzer respectively; P ALK and P PEM are the electrolysis powers of ALK electrolyzer and PEM electrolyzer respectively; P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t PEM It is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t.
[0024] As an embodiment, when the power generation power P of the hybrid electrolyzer is t ele Not higher than wind and solar power P t WT,PV When considering the use of ALK electrolyzers to participate in the production of green hydrogen, it is recommended to promote the complete consumption of new energy:
[0025] P t ALK =min(P t ALK,max ,P t ele -P t PEM,min )
[0026] P t PEM =max(P t ele -P t ALK,max ,P t PEM,min )
[0027] Where: P tALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t ALK,max P is the maximum electrolysis power of a single ALK to produce green hydrogen at time t; t PEM P is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t; t PEM,min It is the minimum electrolysis power of a single PEM electrolyzer to produce green hydrogen at time t.
[0028] As an embodiment, when the power generation power P of the hybrid electrolyzer is t ele Higher than wind and solar power P t WT,PV When considering the use of PEM electrolyzers to participate in the production of green hydrogen, the output of green hydrogen can be increased:
[0029] P t ALK =max(P t ALK,min ,P t ele -P t PEM,max )
[0030] P t PEM =min(P t ele -P t ALK,min ,P t PEM,max )
[0031] Where: P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t ALK,min is the minimum electrolysis power of a single ALK electrolyzer to produce green hydrogen at time t; P t PEM P is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t; t PEM,max It is the maximum electrolysis power of a single PEM electrolyzer to produce green hydrogen at time t.
[0032] A second aspect of the present invention provides an ALK-PEM combined operation system taking the start-stop state into consideration.
[0033] In one or more embodiments, an ALK-PEM joint operation system considering start-stop status includes:
[0034] The wind and solar clustering scene clustering module is used to cluster the wind power and photovoltaic power data in the set area to obtain several wind and solar clustering scenes;
[0035] A wind-solar power wavelet decomposition module is used to decompose the original wind-solar power in each wind-solar clustering scene into low-frequency components and high-frequency components based on wavelet decomposition;
[0036] The power optimal allocation decision module is used to input the low-frequency component and high-frequency component obtained by wavelet decomposition into the ALK and PEM electrolyzers respectively, and according to the start-stop characteristics of the ALK and PEM electrolyzers, consider the start-stop status, minimum start-stop time, forced start-stop and overload operation of the ALK and PEM electrolyzers, and decide on the optimal power allocation plan for the ALK and PEM electrolyzers.
[0037] A third aspect of the present invention provides an electronic device.
[0038] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the ALK-PEM joint operation method considering the start-stop state as described above are implemented.
[0039] Compared with the prior art, the present invention has the following beneficial effects:
[0040] The present invention considers the optimization operation strategy of the start-stop characteristics such as the start-stop state, minimum start-stop time and hot standby state of the ALK-PEM electrolyzer, and makes a decision to propose a solution with the optimal ratio adapted to the local wind and solar characteristics, thereby promoting the consumption of new energy, improving the operation stability of the electrolyzer, avoiding the problem of repeated start-stop of the electrolyzer, extending the working life and improving the economy of the system. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.
[0042] Figure 1 is a flow chart of an ALK-PEM joint operation method considering the start-stop state according to an embodiment of the present invention;
[0043] Figure 2 is a flow chart of an ALK-PEM joint operation method considering the start-stop state in an embodiment of the present invention;
[0044] Figure 3 It is a specific example of an ALK-PEM joint operation method considering the start-stop state in an embodiment of the present invention;
[0045] Figure 4is a schematic diagram of an electronic device according to an embodiment of the present invention;
[0046] Figure 5 It is a schematic diagram of the structure of the ALK-PEM joint operation system considering the start and stop states of an embodiment of the present invention. DETAILED DESCRIPTION
[0047] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0048] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.
[0049] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.
[0050] Figure 2 It is a flow chart of an ALK-PEM joint operation method taking into account the start and stop states in an embodiment of the present invention. Figure 3 It is a specific example of an ALK-PEM joint operation method taking the start-stop state into consideration in an embodiment of the present invention.
[0051] like Figure 2 and Figure 3 The ALK-PEM joint operation method considering the start-stop state in the embodiment shown may include:
[0052] S101, clustering wind power and photovoltaic power data in a set area to obtain a number of wind-solar clustering scenarios.
[0053] In the specific implementation process, the wind power and photovoltaic power data of the set area are clustered based on the GMM algorithm to fully explore the characteristics and evolution laws of wind and solar fluctuations.
[0054] The GMM clustering algorithm is a probability-based clustering method. Its core idea is to assume that the points in the data set are generated by a mixture of multiple Gaussian distributions, and each Gaussian distribution corresponds to a cluster center. The parameters of these Gaussian distributions, including the mean, covariance, and mixing weight, are determined by maximum likelihood estimation. The probability that each data point belongs to a Gaussian distribution (i.e., a cluster) is determined by the mixing weight of the distribution. The execution process of the algorithm can be summarized as the following steps:
[0055] 1) Initialization: Select the number of Gaussian distributions and initialize the parameters of each distribution, including the mean, covariance, and mixing coefficient.
[0056] 2) E-Step (Expectation Step): Calculate the posterior probability that each data point belongs to each Gaussian distribution, that is, calculate the "responsibility" of the data point.
[0057] 3) M-Step (maximization step): Based on the calculated responsibility, update the model parameters, including the mean, covariance, and mixing weights.
[0058] 4) Convergence check: Determine whether the algorithm has converged, usually based on the log-likelihood of the data or the change in model parameters.
[0059] 5) Iteration: If the model has not converged, return to E-Step and continue the iteration process.
[0060] 6) Cluster assignment: For each data point, according to the probability of it belonging to each Gaussian distribution, it is assigned to the Gaussian distribution with the highest probability, that is, it is considered to belong to the corresponding cluster.
[0061] GMM uses the expectation-maximization (EM) algorithm to estimate model parameters. The EM algorithm is an iterative algorithm used for maximum likelihood estimation of parameters of probability models with hidden variables. E-Step: Calculate the expected value of the hidden variable, that is, calculate the probability that each data point belongs to each Gaussian component; M-Step: Use the probability obtained by E-Step to update the model parameters to maximize the log-likelihood of the observed data.
[0062] Assume that a sample set has N sample points, which can be divided into k groups. The distribution of sample points can be estimated by a linear combination of Gaussian distributions of different dimensions. The corresponding GMM probability distribution function is distance calculation:
[0063]
[0064] Where: N is the number of sample points; k is the number of groups of sample points; μ i and C i are the mean vector and covariance matrix of the i-th Gaussian distribution of the model respectively; α i is its weight coefficient, which is the probability value that the sample point can be fitted by the i-th Gaussian distribution; the above parameters can be obtained through the expectation maximization algorithm. When the iterative process is over, the probability density function can fit the sample data distribution to the maximum extent.
[0065] Considering that the data grouping process may lead to overfitting, the Bayesian information criterion (BIC) is used to measure the clustering quality. The optimal number of groups is obtained by finding the minimum value of BIC, which is defined as:
[0066] BIC=-2ln(L)+vln(n) (2)
[0067] Where: BIC is the Bayesian information criterion value; ln(L) is the value of the maximum likelihood function GMM; v is the number of estimated parameters; n is the number of observed data.
[0068] S102, decomposing the original wind-solar power in each wind-solar clustering scene into a low-frequency component and a high-frequency component based on wavelet decomposition.
[0069] This application uses 5 minutes as the optimized time scale and uses discrete wavelet transform (DWT) to decompose the original wind and light signal into low-frequency components and high-frequency components.
[0070] The DWT calculation formula is as follows:
[0071]
[0072] In the formula, x(pT s ) is the wind power time series, and the sample time is T s , keep constant for 5 minutes, g is the mother wavelet function. a, b are scaling and translation functions, and their values are as follows.
[0073] a=2 q (4)
[0074] b=p·a (5)
[0075] Where: p and q are both integer variables.
[0076] S103, input the low-frequency component and high-frequency component obtained by wavelet decomposition into the ALK and PEM electrolyzers respectively, and decide on the optimal power allocation plan for the ALK and PEM electrolyzers based on the start-stop characteristics of the ALK and PEM electrolyzers, considering the start-stop status, minimum start-stop time, forced start-stop and overload operation of the ALK and PEM electrolyzers.
[0077] According to the dynamic response characteristics of ALK electrolyzer and PEM electrolyzer, the start-stop characteristics of the two types of electrolyzers are studied.
[0078] Electrolyzer start and stop status:
[0079]
[0080]
[0081] Where: μ t is the start / stop state of ALK at time t, I t is the start and stop state of PEM at time t. t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t PEM It is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t. The minimum electrolysis power for ALK to produce green hydrogen, Maximum electrolysis power for ALK to produce green hydrogen; The minimum electrolysis power for PEM to produce green hydrogen, The maximum electrolysis power for producing green hydrogen from PEM. μ t-1 and I t-1 They are the start and stop states of ALK and PEM electrolyzers at time t-1 respectively.
[0082] Minimum start and stop time of electrolyzer:
[0083]
[0084]
[0085] Where: and is the minimum shutdown time for PEM and ALK electrolyzers, and Minimum start-up time for PEM and ALK electrolyzers.
[0086] Hot Standby:
[0087]
[0088] Where: K is the number of ALK electrolyzers, NK is the number of PEM electrolyzers, ρ is the hot standby coefficient, P t WT,PV is the wind and solar power. The subscript i represents the corresponding electrolyzer of the ith cell. is the electrolysis power of the i-th ALK electrolyzer producing green hydrogen at time t; is the electrolysis power of the i-th PEM electrolyzer producing green hydrogen at time t.
[0089] Electrolyzer climbing:
[0090]
[0091] Where: and They are the down-climbing power and up-climbing power of the ALK electrolyzer, and They are the down-climbing power and up-climbing power of the PEM electrolyzer respectively.
[0092] PEM electrolyzer overload continuous operation time:
[0093]
[0094] Where: T i PEM is the continuous operation time of PEM electrolyzer i, T max is the continuous operation time of the PEM electrolyzer.
[0095] The power adjustment ranges of the ALK electrolyzer and the PEM electrolyzer are as follows, where the PEM electrolyzer can be overloaded and run continuously for a period of time:
[0096] 0.4P ALKN ≤P t ALK ≤P ALKN (17)
[0097] 0.05P PEMN ≤P t PEM ≤1.2P PEMN (18)
[0098] Where: P ALKN and P PEMN are the rated powers of ALK electrolyzer and PEM electrolyzer respectively; P ALK and P PEM They are the electrolysis powers of ALK electrolyzer and PEM electrolyzer respectively.
[0099] In this embodiment, the objective function of the optimal power allocation scheme for the ALK and PEM electrolyzers is:
[0100] The sum of the electrolytic cell startup cost, electrolytic cell shutdown cost and electrolytic cell operating cost is the smallest.
[0101] Among them, the expression of the objective function of the optimal power allocation scheme of ALK and PEM electrolyzers is:
[0102] min f=F csu +F csd +F p (19)
[0103]
[0104] Where: T is the entire scheduling period; F csu is the electrolytic cell startup cost; F csd F is the stopping cost of the electrolytic cell; pis the electrolytic cell operating cost; μ t and I t are the start and stop states of ALK and PEM electrolyzers at time t, respectively; and are the startup costs of ALK electrolyzer and PEM electrolyzer respectively; and are the stopping costs of ALK electrolyzer and PEM electrolyzer respectively; ν ALK and ν PEM are the unit time operating costs of ALK and PEM respectively.
[0105] In the process of solving the objective function of the optimal power allocation scheme for LK and PEM electrolyzers, the constraints include energy storage operation constraints, electrolyzer characteristic constraints, electrolyzer start and stop constraints, electrolyzer minimum start and stop time constraints, hot standby constraints, electrolyzer climbing constraints, PEM electrolyzer overload continuous operation time constraints and electric power balance constraints.
[0106] Energy storage operation constraints:
[0107]
[0108] P t SC,ch P t SC,dis =0 (25)
[0109]
[0110] Where: P t SC,dis and P t SC,ch They are the discharge power and charging power of the lithium battery at time t respectively; and are the upper limits of the charging and discharging power of the supercapacitor respectively; H SC,t is the state of charge of the supercapacitor SC at time t; and They are the upper and lower limits of the state of charge of SC respectively; is the self-discharge coefficient of SC; E SC is the capacity of SC; η SC,ch and η SC,dis are the charge and discharge efficiencies of SC respectively; Δt represents the time interval.
[0111] Electrolyzer characteristic constraints:
[0112]
[0113] Where: and They are the upper and lower power limits of the ALK electrolyzer, respectively; and are the upper and lower power limits of the PEM electrolyzer, respectively; and are the maximum ramping powers of the ALK electrolyzer and the PEM electrolyzer, respectively. Wherein, the subscript t represents time t; the subscript t-1 represents time t-1.
[0114] Electrolyzer start and stop constraints:
[0115] Taking into account the start and stop time of ALK and PEM electrolyzers, equations (29) and (31) are modified as follows:
[0116]
[0117] Where: μ t is the start / stop state of ALK at time t, I t is the start / stop status of ALK at time t.
[0118] Minimum start and stop time constraints for electrolyzers:
[0119]
[0120]
[0121] Where: and is the minimum shutdown time for PEM and ALK electrolyzers, and Minimum start-up time for PEM and ALK electrolyzers.
[0122] Hot standby constraints:
[0123]
[0124] Where: K is the number of ALK electrolyzers, NK is the number of PEM electrolyzers, and ρ is the hot standby coefficient. t WT,PV The wind power.
[0125] Electrolyzer climbing constraints:
[0126]
[0127] Where: and They are the down-climbing power and up-climbing power of the ALK electrolyzer, and They are the down-climbing power and up-climbing power of the PEM electrolyzer respectively.
[0128] PEM electrolyzer overload continuous operation time constraints:
[0129]
[0130] Where: is the continuous overload operation time of PEM electrolyzer i; T max is the maximum continuous overload operating time.
[0131] Electric power balance constraints:
[0132] P t WT,PV -P t ele =0 (42)
[0133] P t ele =μ t P t ALK +I t P t PEM (43)
[0134] When the power generation power P of the hybrid electrolyzer t ele Not higher than wind and solar power P t WT,PV When considering the use of ALK electrolyzers to participate in the production of green hydrogen, it is recommended to promote the complete consumption of new energy:
[0135] P t ALK =min(P t ALK,max ,P t ele -P t PEM,min ) (44)
[0136] P t PEM =max(P t ele -P t ALK,max ,P t PEM,min ) (45)
[0137] Where: P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t ALK,max P is the maximum electrolysis power of a single ALK to produce green hydrogen at time t; t PEMP is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t; t PEM,min It is the minimum electrolysis power of a single PEM electrolyzer to produce green hydrogen at time t.
[0138] When the power generation power P of the hybrid electrolyzer t ele Higher than wind and solar power P t WT,PV When considering the use of PEM electrolyzers to participate in the production of green hydrogen, the output of green hydrogen can be increased:
[0139] P t ALK =max(P t ALK,min ,P t ele -P t PEM,max ) (46)
[0140] P t PEM =min(P t ele -P t ALK,min ,P t PEM,max ) (47)
[0141] Where: P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t ALK,min is the minimum electrolysis power of a single ALK electrolyzer to produce green hydrogen at time t; P t PEM P is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t; t PEM,max It is the maximum electrolysis power of a single PEM electrolyzer to produce green hydrogen at time t.
[0142] The quality of hydrogen produced by ALK-PEM electrolysis is:
[0143]
[0144] Where: m h is the mass of hydrogen; σ is the conversion coefficient from electrolysis power to hydrogen mass.
[0145] ALK-PEM electrolysis hydrogen production efficiency η e It is expressed as:
[0146]
[0147] Where: Lh is the low calorific value of hydrogen; E is the electrical energy required for electrolysis of water.
[0148] The Gaussian Mixture Models (GMM) algorithm of the present invention can process clusters of arbitrary shapes and can automatically determine the optimal number of clusters. The wavelet decomposition calculation speed is extremely fast, and the average time is only 1 / 25 of the empirical mode decomposition method, and it can provide frequency information at different scales, perform more detailed analysis of the signal, and is suitable for processing non-stationary signals. Therefore, the present invention is based on the GMM algorithm and the wavelet decomposition method to achieve clustering and decomposition of wind and solar signals, consider combining the two types of electrolyzers for research, and fully consider their start-stop characteristics in the hydrogen production process. By analyzing the start-stop characteristics of ALK-PEM at each time scale (including start-stop state, minimum start-stop time, and hot standby, etc.), the optimal real-time power allocation scheme for the two types of electrolyzers is determined, which improves the economy and safety of the power system.
[0149] Reference Figure 4 , a schematic diagram of an electronic device is given. It should be noted that, Figure 4 The electronic device 400 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.
[0150] like Figure 4 As shown, electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage portion 408 into a random access memory (RAM) 403. In RAM 403, various programs and data required for system operation are also stored. Central processing unit 401, ROM 402 and RAM 403 are connected to each other via bus 404. Input / output (I / O) interface 405 is also connected to bus 404.
[0151] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a local area network (LAN) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
[0152] When the central processing unit 401 in the electronic device of this embodiment executes the program, the following is achieved: Figure 1 The steps in the ALK-PEM joint operation method considering the start-stop state are shown.
[0153] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer readable medium, the computer program including a computer program for executing Figure 1 In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit 401, various functions defined in the apparatus of the present application are executed.
[0154] Figure 5 Schematic diagram of the structure of an ALK-PEM joint operation system considering the start-stop state in an embodiment of the present invention. Figure 1 The ALK-PEM joint operation method considering the start-stop state corresponds to Figure 5 As shown, the ALK-PEM joint operation system considering the start-stop state in this embodiment may include:
[0155] A wind-solar clustering scene clustering module 501 is used to cluster the wind power and photovoltaic power data of a set area to obtain a number of wind-solar clustering scenes;
[0156] A wind-solar power wavelet decomposition module 502 is used to decompose the original wind-solar power in each wind-solar clustering scene into a low-frequency component and a high-frequency component based on wavelet decomposition;
[0157] The power optimal allocation decision module 503 is used to input the low-frequency components and high-frequency components obtained by wavelet decomposition into the ALK and PEM electrolyzers respectively, and according to the start-stop characteristics of the ALK and PEM electrolyzers, consider the start-stop status, minimum start-stop time, forced start-stop and overload operation of the ALK and PEM electrolyzers, and decide on the optimal power allocation plan for the ALK and PEM electrolyzers.
[0158] It should be noted here that Figure 5 The modules in the ALK-PEM joint operation system considering the start-stop state are Figure 1 The various steps in the ALK-PEM joint operation method considering the start-stop state correspond one to one, and the specific implementation process is the same, which will not be repeated here.
[0159] in, Figure 1The computer program instructions corresponding to the method shown may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0160] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.
[0161] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An ALK-PEM joint operation method considering the start-stop state, characterized in that: include: Cluster the wind power and photovoltaic power data of the set area to obtain several wind-solar clustering scenarios; Based on wavelet decomposition, the original wind-solar power in each wind-solar clustering scene is decomposed into low-frequency components and high-frequency components; The low-frequency component and high-frequency component obtained by wavelet decomposition are input into the ALK and PEM electrolyzers respectively. According to the start-stop characteristics of the ALK and PEM electrolyzers, the start-stop state, minimum start-stop time, forced start-stop and overload operation of the ALK and PEM electrolyzers are considered to determine the optimal power allocation scheme for the ALK and PEM electrolyzers.
2. The ALK-PEM joint operation method considering the start-stop state as claimed in claim 1, characterized in that: The objective function of the optimal power allocation scheme for ALK and PEM electrolyzers is: The sum of the electrolytic cell startup cost, electrolytic cell shutdown cost and electrolytic cell operating cost is the smallest.
3. The ALK-PEM joint operation method considering the start-stop state as claimed in claim 2, characterized in that: In the process of solving the objective function of the optimal power allocation scheme for ALK and PEM electrolyzers, the constraints include energy storage operation constraints, electrolyzer characteristic constraints, electrolyzer start and stop constraints, electrolyzer minimum start and stop time constraints, hot standby constraints, electrolyzer climbing constraints, PEM electrolyzer overload continuous operation time constraints and electric power balance constraints.
4. The ALK-PEM joint operation method considering the start-stop state as claimed in claim 2, characterized in that: The expression of the objective function of the optimal power allocation scheme for ALK and PEM electrolyzers is: minf=F csu +F csd +F p Where: T is the entire scheduling period; F csu is the electrolytic cell startup cost; F csd F is the stopping cost of the electrolytic cell; p is the electrolytic cell operating cost; μ t and I t are the start and stop states of ALK and PEM electrolyzer at time t respectively; μ t-1 and I t-1 are the start and stop states of ALK and PEM electrolyzers at time t-1, respectively; and are the startup costs of ALK electrolyzer and PEM electrolyzer respectively; and are the stopping costs of ALK electrolyzer and PEM electrolyzer respectively; ν ALK and ν PEM are the unit time operating costs of ALK and PEM respectively; P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t PEM It is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t.
5. The ALK-PEM joint operation method considering the start-stop state as claimed in claim 1, characterized in that: The power regulation range of ALK electrolyzer and PEM electrolyzer is as follows, where PEM electrolyzer can be overloaded and run continuously for a period of time: 0.4P ALKN ≤P t ALK ≤P ALKN 0.05P PEMN ≤P t PEM ≤1.2P PEMN Where: P ALKN and P PEMN are the rated powers of ALK electrolyzer and PEM electrolyzer respectively; P ALK and P PEM are the electrolysis powers of ALK electrolyzer and PEM electrolyzer respectively; P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t PEM It is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t.
6. The ALK-PEM joint operation method considering the start-stop state as claimed in claim 1, characterized in that: When the power generation power P of the hybrid electrolyzer t ele Not higher than wind and solar power P t WT,PV When considering the use of ALK electrolyzers to participate in the production of green hydrogen, it is recommended to promote the complete consumption of new energy: P t ALK =min(P t ALK,max ,P t ele -P t PEM,min ) P t PEM =max(P t ele -P t ALK,max ,P t PEM,min ) Where: P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t ALK,max P is the maximum electrolysis power of a single ALK to produce green hydrogen at time t; t PEM P is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t; t PEM,min It is the minimum electrolysis power of a single PEM electrolyzer to produce green hydrogen at time t.
7. The ALK-PEM joint operation method considering the start-stop state as claimed in claim 1, characterized in that: When the power generation power P of the hybrid electrolyzer t ele Higher than wind and solar power P t WT,PV When considering the use of PEM electrolyzers to participate in the production of green hydrogen, the output of green hydrogen can be increased: P t ALK =max(P t ALK,min ,P t ele -P t PEM,max ) P t PEM =min(P t ele -P t ALK,min ,P t PEM,max ) Where: P t ALK P is the electrolysis power of a single ALK to produce green hydrogen at time t; t ALK,min is the minimum electrolysis power of a single ALK electrolyzer to produce green hydrogen at time t; P t PEM P is the electrolysis power of a single PEM electrolyzer producing green hydrogen at time t; t PEM,max It is the maximum electrolysis power of a single PEM electrolyzer to produce green hydrogen at time t.
8. An ALK-PEM joint operation system considering the start-stop state, characterized in that: include: The wind and solar clustering scene clustering module is used to cluster the wind power and photovoltaic power data in the set area to obtain several wind and solar clustering scenes; A wind-solar power wavelet decomposition module is used to decompose the original wind-solar power in each wind-solar clustering scene into low-frequency components and high-frequency components based on wavelet decomposition; The power optimal allocation decision module is used to input the low-frequency component and high-frequency component obtained by wavelet decomposition into the ALK and PEM electrolyzers respectively, and according to the start-stop characteristics of the ALK and PEM electrolyzers, consider the start-stop status, minimum start-stop time, forced start-stop and overload operation of the ALK and PEM electrolyzers, and decide on the optimal power allocation plan for the ALK and PEM electrolyzers.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the ALK-PEM joint operation method considering the start-stop state as described in any one of claims 1-7 are implemented.
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