CN113690938A - Hydrogen production system control method based on power model prediction - Google Patents
Hydrogen production system control method based on power model prediction Download PDFInfo
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- 239000001257 hydrogen Substances 0.000 title claims abstract description 119
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 119
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 114
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 96
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004146 energy storage Methods 0.000 claims abstract description 52
- 238000011217 control strategy Methods 0.000 claims abstract description 16
- 230000002194 synthesizing effect Effects 0.000 claims abstract description 4
- 239000004576 sand Substances 0.000 claims description 3
- 239000002775 capsule Substances 0.000 description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 3
- 229910052799 carbon Inorganic materials 0.000 description 3
- 238000006386 neutralization reaction Methods 0.000 description 3
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 230000005180 public health Effects 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25B—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES FOR THE PRODUCTION OF COMPOUNDS OR NON-METALS; APPARATUS THEREFOR
- C25B1/00—Electrolytic production of inorganic compounds or non-metals
- C25B1/01—Products
- C25B1/02—Hydrogen or oxygen
- C25B1/04—Hydrogen or oxygen by electrolysis of water
-
- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25B—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES FOR THE PRODUCTION OF COMPOUNDS OR NON-METALS; APPARATUS THEREFOR
- C25B15/00—Operating or servicing cells
- C25B15/02—Process control or regulation
- C25B15/023—Measuring, analysing or testing during electrolytic production
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/30—Hydrogen technology
- Y02E60/36—Hydrogen production from non-carbon containing sources, e.g. by water electrolysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P20/00—Technologies relating to chemical industry
- Y02P20/10—Process efficiency
- Y02P20/133—Renewable energy sources, e.g. sunlight
Abstract
The invention relates to a hydrogen production system control method based on power model prediction, which comprises the following steps: the method comprises the following steps: and reading the operation information of the multi-end alternating current-direct current renewable energy system of the integrated hydrogen production equipment, and taking the operation information as the input of the second step and the third step, wherein the second step comprises the following steps: determining the optimal working range of the electrolytic cell, obtaining the relation between the power of the hydrogen production system and the hydrogen output according to the historical operation information and the prior knowledge of the hydrogen production system obtained in the step one, and determining the optimal power range of the operation efficiency of the electrolytic cell; step three: predicting the maximum power of the hydrogen production system at the next moment, fitting a prediction function of the power of the hydrogen production system according to the historical operation information of the wind power system and the photovoltaic system obtained in the step one, and synthesizing the current state of the energy storage system to obtain a predicted value of the maximum power of the hydrogen production system at the next moment; step four: and determining the control strategy of the electrolytic cell and the energy storage system according to the predicted power and the current operation state of the hydrogen production system at the next moment.
Description
Technical Field
The invention relates to the field of electric power, in particular to a hydrogen production system control method based on power model prediction.
Background
In the face of various environmental problems brought by fossil energy, hydrogen energy is used as one of new energy, has high total content in global resources, has the advantages of higher unit calorific value, low density, clean and pollution-free products after utilization and the like, can help fully utilize renewable energy to output power, solve the problems of electric energy consumption and storage, and can help the national energy safety and the realization of the carbon neutralization target. At present, in order to fully consume renewable energy, with the development of hydrogen-oxygen fuel cells, hydrogen gas turbines and other hydrogen-based power supplies, the proportion of a multi-terminal alternating current-direct current renewable energy system integrated with hydrogen production equipment in a power grid is gradually increased.
Fig. 1 depicts an equivalent block diagram of a typical multi-terminal ac/dc renewable energy system of an integrated hydrogen plant, wherein ac system 1, ac system 2, …, ac system n, etc. are connected to dc bus bars via VSC1, VSC2, …, VSCn, etc. converter stations. The wind power system is connected to the direct current bus through the AC/DC rectifier, the photovoltaic system is connected to the direct current bus through the DC/DC converter, the energy storage device is connected to the direct current bus through the DC/DC converter, and the hydrogen production system is connected to the direct current bus through the DC/DC converter. The hydrogen production system comprises an electrolytic cell 1, an electrolytic cell 2, … and an electrolytic cell n.
The electrolytic cell has special working characteristics, when the electrolytic cell is started, the working current is mainly used for increasing the temperature of the electrolytic cell, and the electrolytic cell can start to generate hydrogen only by heating the electrolyte to a certain temperature, so that the working efficiency of the electrolytic cell is low under low power. The operating power of the electrolyzer cannot be lowered below a certain limit due to the internal characteristics of the electrolyzer, otherwise the hydrogen and oxygen mixture could reach explosive concentration limits. Meanwhile, the active power output of the photovoltaic generator set and the wind turbine generator set has the characteristics of intermittency, volatility and the like, so that unpredictability of power is caused to a certain degree. Therefore, the hydrogen production system needs to have safety, high efficiency and accuracy, which puts higher requirements on the control method of the hydrogen production system integrating renewable energy sources.
Disclosure of Invention
In order to solve the technical problems, the invention provides a hydrogen production system control method based on power model prediction, which can reduce the low-power working condition of an electrolytic cell as far as possible and improve the hydrogen production efficiency while ensuring that the hydrogen production system is in the safe operation range of the electrolytic cell.
The technical scheme of the invention is as follows: a hydrogen production system control method based on power model prediction comprises the following steps:
the method comprises the following steps: reading operation information of a multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment, and taking the operation information as input of the second step and the third step, wherein the operation information comprises historical information and current information of data such as power of a photovoltaic generator, a wind turbine generator, an energy storage system and a hydrogen production system, hydrogen output volume of the hydrogen production system, the number of electrolytic cells put into operation and the like;
step two: determining the optimal working range of the electrolytic cell, obtaining the relation between the power of the hydrogen production system and the hydrogen output according to the historical operation information and the prior knowledge of the hydrogen production system obtained in the step one, and determining the optimal power range of the operation efficiency of the electrolytic cell;
step three: predicting the maximum power of the hydrogen production system at the next moment, fitting a prediction function of the power of the hydrogen production system according to the historical operation information of the wind power system and the photovoltaic system obtained in the step one, and synthesizing the current state of the energy storage system to obtain a predicted value of the maximum power of the hydrogen production system at the next moment;
step four: and specifically, determining whether to increase or decrease the number of the electrolytic cells which are put into operation and the power of the energy storage system according to the predicted value of the maximum power of the hydrogen production system at the next moment and the number of the electrolytic cells which are currently operated, which are obtained in the third step.
Further, the first step: reading the operation information of the multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment, specifically comprising:
reading historical and current operation information of each system by an information management system of a multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment, wherein the operation information comprises power P of a photovoltaic unitpvPower P of wind turbine generatorwindPower P of energy storage systemsAnd power P of hydrogen production systemHHydrogen output volume V of hydrogen production systemHAnd the number k of the electrolytic cells which are put into operation at present.
Further, step two: determining the optimal working range of the electrolytic cell, which specifically comprises the following steps:
according to the power P of the hydrogen production system obtained in the step oneHHydrogen output volume V of hydrogen production systemHObtaining the relation between the hydrogen output and the power through data fitting, and obtaining the power P of a single electrolytic tank by combining the prior knowledge of safe operationelSatisfies the following conditions:
Pmin<Pel<Pmax(1)
wherein P iselPower of a single cell, PminIs the minimum input power, P, of the cellmaxIs the maximum input power of the electrolyzer.
Further, step three: predicting the maximum power of the hydrogen production system at the next moment, which specifically comprises the following steps:
according to the power P of the photovoltaic unit obtained in the step onepvPower P of wind turbine generatorwindA set of historical operating information P1，P2，…，PnFitting a prediction function f (P) of the power of the hydrogen production system1,P2,…,Pn) To obtain the predicted value of the maximum power at the next moment of the hydrogen production system
Further, step four: determining a control strategy of the electrolytic cell and the energy storage system, and specifically comprising the following steps:
according to the maximum work of the hydrogen production system obtained in the third step at the next momentRate prediction value
With the current operating power PtAnd (3) integrating the number k of the electrolytic cells which are currently put into operation and obtained in the step one to formulate a control strategy of the electrolytic cells and the energy storage system, specifically:
comparison
And PtIf, if
Performing step A by comparing
And kPmaxFurther determining the control strategy of the electrolytic cell and the energy storage system; if it is not
Performing step B by comparing
And (k-1) PmaxAnd (4) further determining the control strategy of the electrolytic cell and the energy storage system.
Further, step A, by comparison
And kPmaxAnd further determining the control strategy of the electrolytic cell and the energy storage system according to the size, which comprises the following steps:
A. when in use
Comparison
And kPmaxSize:
(1) if it is
The number of cells currently put into operation is kept constant and the power per cell is
The increased power is absorbed by each electrolytic cell, and the power P of the energy storage systemsIs 0;
(2) if it is
And is
The number of electrolytic cells currently put into operation is kept constant k, and the power P of each electrolytic cell is kept constantelIs PmaxPower P of the energy storage systemsIs composed of
(3) If it is
And is
Increasing the number k of the electrolytic cells which are put into operation to k +1, and setting the power of the k electrolytic cells which are put into operation to Pel1＝Pel2＝…＝Pelk＝PmaxNewly put into operation the power P of the electrolytic cellelk+1Is composed of
Power P of energy storage systemsIs 0;
(4) if it is
And is
Increasing the number k of the electrolytic cells which are put into operation to k +1, and repeating the processes (2), (3) and (4).
Further, the step B is realized by comparing
And (k-1) Pmax, further determining the control strategy of the electrolytic cell and the energy storage system, and concretely comprising the following steps:
B. when in use
Comparison
And (k-1) Pmax size:
(1) if it is
And is
The number of cells currently put into operation is kept constant and the power per cell is
Power P of single electrolytic cellelThe power of the energy storage system P is born by each electrolytic cell without exceeding the limit and reduced powersIs 0;
(2) if it is
And is
The number k of the electrolytic cells which are put into operation at present is reduced to k-1, and the power of each electrolytic cell is Pel1＝Pel2＝…＝Pelk-1＝PmaxPower P of the energy storage systemsIs composed of
(3) If it is
And is
The number k of electrolytic cells currently put into operation is reduced to k-1, and the power of each electrolytic cell is
Power P of energy storage systemsIs 0;
(4) if it is
And is
The number k of the electrolytic cells which are put into operation at present is reduced to k-1, and the power of each electrolytic cell is PmaxPower P of the energy storage systemsIs composed of
(5) If it is
And is
Reducing the number k of the electrolytic cells which are put into operation to k-1, and repeating the processes (3), (4) and (5).
Has the advantages that:
the invention provides a hydrogen production system control method based on power model prediction, which can reduce the low-power working condition of an electrolytic cell as far as possible and improve the hydrogen production efficiency while ensuring that the hydrogen production system is in the safe operation range of the electrolytic cell. The method has great significance for improving the efficient utilization of renewable energy sources and reducing the hydrogen production cost, can provide good support for hydrogen energy sources and public health and achieves carbon neutralization target assistance.
Drawings
FIG. 1 is a multi-terminal AC/DC renewable energy system of an integrated hydrogen plant;
FIG. 2 is a flow chart of a hydrogen production system control method based on power model prediction in accordance with the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by a person skilled in the art based on the embodiments of the present invention belong to the protection scope of the present invention without creative efforts.
According to the embodiment of the invention, a hydrogen production system control method based on power model prediction is provided, and comprises the following steps:
the method comprises the following steps: and reading the operation information of the multi-end alternating current-direct current renewable energy system of the integrated hydrogen production equipment, and taking the operation information as the input of the second step and the third step. The operation information comprises historical information and current information of data such as the power of the photovoltaic generator, the wind turbine generator, the energy storage system and the hydrogen production system, the hydrogen production volume of the hydrogen production system, the number of the electrolytic cells put into operation and the like.
Step two: and determining the optimal working range of the electrolytic cell. And D, obtaining the relation between the power of the hydrogen production system and the hydrogen output according to the historical operation information and the priori knowledge of the hydrogen production system obtained in the step I, and determining the optimal power range of the efficient operation of the electrolytic cell.
Step three: predicting the maximum power of the hydrogen production system at the next moment. And fitting a prediction function of the power of the hydrogen production system according to the historical operating information of the wind power and photovoltaic system obtained in the step one, and synthesizing the current state of the energy storage system to obtain a predicted value of the maximum power of the hydrogen production system at the next moment.
Step four: and determining the control strategy of the electrolytic cell and the energy storage system according to the predicted power and the current operation state of the hydrogen production system at the next moment. And determining whether to increase or decrease the number of the electrolytic cells which are put into operation and the power of the energy storage system according to the predicted value of the maximum power at the next moment of the hydrogen production system obtained in the third step and the number of the electrolytic cells which are currently operated.
Specifically, the steps are as follows:
the method comprises the following steps: and reading the operation information of the multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment.
Reading historical and current operation information of each system by an information management system of a multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment, wherein the operation information comprises power P of a photovoltaic unitpvPower P of wind turbine generatorwindPower P of energy storage systemsAnd power P of hydrogen production systemHHydrogen output volume V of hydrogen production systemHAnd the number k of the electrolytic cells which are put into operation at present.
Step two: determining the optimum operating range of an electrolytic cell
According to the power P of the hydrogen production system obtained in the step oneHHydrogen output volume V of hydrogen production systemHObtaining the relation between the hydrogen output and the power through data fitting, and obtaining the power P of a single electrolytic tank by combining the prior knowledge of safe operationelSatisfies the following conditions:
Pmin<Pel<Pmax(1)
wherein P iselPower of a single cell, PminIs the minimum input power, P, of the cellmaxIs the maximum input power of the electrolyzer.
Step three: predicting the maximum power of the hydrogen production system at the next moment.
According to the power P of the photovoltaic unit obtained in the step onepvPower P of wind turbine generatorwindA set of historical operating information P1，P2，…，PnFitting a prediction function f (P) of the power of the hydrogen production system1,P2,…,Pn) To obtain the predicted value of the maximum power at the next moment of the hydrogen production system
Step four: and determining the control strategy of the electrolytic cell and the energy storage system.
According to the predicted value of the maximum power of the hydrogen production system at the next moment obtained in the third step
With the current operating power PtAnd (4) integrating the number k of the electrolytic cells which are currently put into operation and obtained in the step one, and formulating a control strategy of the electrolytic cells and the energy storage system. Specifically, the method comprises the following steps:
comparison
And PtIf, if
Step A is performed if
Executing the step B;
A. when in use
Comparison
And kPmaxThe size of the capsule is determined by the size of the capsule,
(1) if it is
The number of cells currently put into operation is kept constant and the power per cell is
The increased power is absorbed by each electrolytic cell, and the power P of the energy storage systemsIs 0.
(2) If it is
And is
The number of electrolytic cells currently put into operation is kept constant k, and the power P of each electrolytic cell is kept constantelIs PmaxPower P of the energy storage systemsIs composed of
(3) If it is
And is
Increasing the number k of the electrolytic cells which are put into operation to k +1, and setting the power of the k electrolytic cells which are put into operation to Pel1＝Pel2＝…＝Pelk＝PmaxNewly put into operation the power P of the electrolytic cellelk+1Is composed of
Power P of energy storage systemsIs 0.
(4) If it is
And is
Increasing the number k of the electrolytic cells which are put into operation to k +1, and repeating the processes (2), (3) and (4) until the conditions are met.
B. When in use
Comparison
And (k-1) PmaxThe size of the capsule is determined by the size of the capsule,
(1) if it is
And is
The number of cells currently put into operation is kept constant and the power per cell is
Power P of single electrolytic cellelThe power of the energy storage system P is born by each electrolytic cell without exceeding the limit and reduced powersIs 0;
(2) if it is
And is
The number k of the electrolytic cells which are put into operation at present is reduced to k-1, and the power of each electrolytic cell is Pel1＝Pel2＝…＝Pelk-1＝PmaxPower P of the energy storage systemsIs composed of
(3) If it is
And is
The number k of electrolytic cells currently put into operation is reduced to k-1, and the power of each electrolytic cell is
Power P of energy storage systemsIs 0;
(4) if it is
And is
The number k of the electrolytic cells which are put into operation at present is reduced to k-1, and the power of each electrolytic cell is PmaxPower P of the energy storage systemsIs composed of
(5) If it is
And is
Reducing the number k of the electrolytic cells which are put into operation to k-1, and repeating the processes (3), (4) and (5) until the conditions are met.
In summary, the invention provides a hydrogen production system control method based on power model prediction, which can reduce the low-power working condition of an electrolytic cell as far as possible and improve the hydrogen production efficiency while ensuring that the hydrogen production system is in the safe operation range of the electrolytic cell. The method has great significance for improving the efficient utilization of renewable energy sources and reducing the hydrogen production cost, can provide good support for hydrogen energy sources and public health and achieves carbon neutralization target assistance.
Although illustrative embodiments of the present invention have been described above to facilitate the understanding of the present invention by those skilled in the art, it should be understood that the present invention is not limited to the scope of the embodiments, but various changes may be apparent to those skilled in the art, and it is intended that all inventive concepts utilizing the inventive concepts set forth herein be protected without departing from the spirit and scope of the present invention as defined and limited by the appended claims.
Claims (7)
1. A hydrogen production system control method based on power model prediction is characterized by comprising the following steps:
the method comprises the following steps: reading operation information of a multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment, and taking the operation information as input of the second step and the third step, wherein the operation information comprises historical information and current information of data such as power of a photovoltaic generator, a wind turbine generator, an energy storage system and a hydrogen production system, hydrogen output volume of the hydrogen production system, the number of electrolytic cells put into operation and the like;
step two: determining the optimal working range of the electrolytic cell, obtaining the relation between the power of the hydrogen production system and the hydrogen output according to the historical operation information and the prior knowledge of the hydrogen production system obtained in the step one, and determining the optimal power range of the operation efficiency of the electrolytic cell;
step three: predicting the maximum power of the hydrogen production system at the next moment, fitting a prediction function of the power of the hydrogen production system according to the historical operation information of the wind power system and the photovoltaic system obtained in the step one, and synthesizing the current state of the energy storage system to obtain a predicted value of the maximum power of the hydrogen production system at the next moment;
step four: and specifically, determining whether to increase or decrease the number of the electrolytic cells which are put into operation and the power of the energy storage system according to the predicted value of the maximum power of the hydrogen production system at the next moment and the number of the electrolytic cells which are currently operated, which are obtained in the third step.
2. The method for controlling the hydrogen production system based on the power model prediction as claimed in claim 1, wherein the first step is: reading the operation information of the multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment, specifically comprising:
reading historical and current operation information of each system by an information management system of a multi-terminal alternating current-direct current renewable energy system of the integrated hydrogen production equipment, wherein the operation information comprises power P of a photovoltaic unitpvPower P of wind turbine generatorwindPower P of energy storage systemsAnd power P of hydrogen production systemHHydrogen output volume V of hydrogen production systemHAnd the number k of the electrolytic cells which are put into operation at present.
3. The method for controlling the hydrogen production system based on the power model prediction as claimed in claim 1, wherein the second step: determining the optimal working range of the electrolytic cell, which specifically comprises the following steps:
according to the power P of the hydrogen production system obtained in the step oneHHydrogen output volume V of hydrogen production systemHObtaining the relation between the hydrogen output and the power through data fitting, and obtaining the power P of a single electrolytic tank by combining the prior knowledge of safe operationelSatisfies the following conditions:
Pmin<Pel<Pmax (1)
wherein P iselPower of a single cell, PminIs the minimum input power, P, of the cellmaxIs the maximum input power of the electrolyzer.
4. The method for controlling the hydrogen production system based on the power model prediction as claimed in claim 1, wherein the third step: predicting the maximum power of the hydrogen production system at the next moment, which specifically comprises the following steps:
according to the power P of the photovoltaic unit obtained in the step onepvPower P of wind turbine generatorwindA set of historical operating information P1，P2，…，PnFitting a prediction function f (P) of the power of the hydrogen production system1,P2,…,Pn) To obtain the predicted value of the maximum power at the next moment of the hydrogen production system
5. The method for controlling the hydrogen production system based on the power model prediction as claimed in claim 1, wherein the fourth step: determining a control strategy of the electrolytic cell and the energy storage system, and specifically comprising the following steps:
according to the predicted value of the maximum power of the hydrogen production system at the next moment obtained in the third step
With the current operating power PtAnd (3) integrating the number k of the electrolytic cells which are currently put into operation and obtained in the step one to formulate a control strategy of the electrolytic cells and the energy storage system, specifically:
comparison
And PtIf, if
Performing step A by comparing
And kPmaxFurther determining the control strategy of the electrolytic cell and the energy storage system; if it is not
Performing step B by comparing
And (k-1) PmaxAnd (4) further determining the control strategy of the electrolytic cell and the energy storage system.
6. The method of claim 5, wherein step A, comparing and comparing the power model prediction based hydrogen production system control method
And kPmaxAnd further determining the control strategy of the electrolytic cell and the energy storage system according to the size, which comprises the following steps:
A. when in use
Comparison
And kPmaxSize:
(1) if it is
The number of cells currently put into operation is kept constant and the power per cell is
The increased power is absorbed by each electrolytic cell, and the power P of the energy storage systemsIs 0;
(2) if it is
And is
The number of electrolytic cells currently put into operation is kept constant k, and the power P of each electrolytic cell is kept constantelIs PmaxPower P of the energy storage systemsIs composed of
(3) If it is
And is
Increasing the number k of the electrolytic cells which are put into operation to k +1, and setting the power of the k electrolytic cells which are put into operation to Pel1＝Pel2＝…＝Pelk＝PmaxNewly put into operation the power P of the electrolytic cellelk+1Is composed of
Power P of energy storage systemsIs 0;
(4) if it is
And is
Increasing the number k of the electrolytic cells which are put into operation to k +1, and repeating the processes (2), (3) and (4).
7. The method of claim 5, wherein step B, comparing and predicting hydrogen production system based on power model
And (k-1) Pmax, further determining an electrolytic cell and an energy storage systemThe control strategy specifically comprises the following steps:
B. when in use
Comparison
And (k-1) Pmax size:
(1) if it is
And is
The number of cells currently put into operation is kept constant and the power per cell is
Power P of single electrolytic cellelThe power of the energy storage system P is born by each electrolytic cell without exceeding the limit and reduced powersIs 0;
(2) if it is
And is
The number k of the electrolytic cells which are put into operation at present is reduced to k-1, and the power of each electrolytic cell is Pel1＝Pel2＝…＝Pelk-1＝PmaxPower P of the energy storage systemsIs composed of
(3) If it is
And is
The number k of electrolytic cells currently put into operation is reduced to k-1, and the power of each electrolytic cell is
Power P of energy storage systemsIs 0;
(4) if it is
And is
The number k of the electrolytic cells which are put into operation at present is reduced to k-1, and the power of each electrolytic cell is PmaxPower P of the energy storage systemsIs composed of
(5) If it is
And is
Reducing the number k of the electrolytic cells which are put into operation to k-1, and repeating the processes (3), (4) and (5).
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