CN113794193A - Decision-making method for hydrogen production of renewable energy direct-current micro-grid - Google Patents
Decision-making method for hydrogen production of renewable energy direct-current micro-grid Download PDFInfo
- Publication number
- CN113794193A CN113794193A CN202110996785.2A CN202110996785A CN113794193A CN 113794193 A CN113794193 A CN 113794193A CN 202110996785 A CN202110996785 A CN 202110996785A CN 113794193 A CN113794193 A CN 113794193A
- Authority
- CN
- China
- Prior art keywords
- power
- soc
- storage unit
- energy storage
- hydrogen production
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 65
- 239000001257 hydrogen Substances 0.000 title claims abstract description 65
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 64
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000004146 energy storage Methods 0.000 claims abstract description 63
- 238000005457 optimization Methods 0.000 claims abstract description 8
- 230000008859 change Effects 0.000 claims description 16
- 230000009467 reduction Effects 0.000 claims description 10
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 238000010521 absorption reaction Methods 0.000 claims description 3
- 238000009826 distribution Methods 0.000 description 3
- 238000007599 discharging Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 150000002431 hydrogen Chemical class 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
Images
Classifications
-
- 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
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
- H02J1/10—Parallel operation of dc sources
-
- 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
-
- 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
- C25B9/00—Cells or assemblies of cells; Constructional parts of cells; Assemblies of constructional parts, e.g. electrode-diaphragm assemblies; Process-related cell features
- C25B9/60—Constructional parts of cells
- C25B9/65—Means for supplying current; Electrode connections; Electric inter-cell connections
-
- 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
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
- H02J1/10—Parallel operation of dc sources
- H02J1/106—Parallel operation of dc sources for load balancing, symmetrisation, or sharing
-
- 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
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
- H02J1/14—Balancing the load in a network
-
- 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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
-
- 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
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
-
- 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
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
-
- 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
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- 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 decision-making method for hydrogen production by a renewable energy direct-current micro-grid, which comprises the following steps: the method comprises the following steps: the renewable energy direct current micro-grid energy management system monitors operation data in real time, and obtains power information of each unit at the current moment, wherein the power information comprises hydrogen production power, wind power, photovoltaic power, energy storage unit power and energy storage unit SOC; step two: taking the power information of each unit at the current moment as input, combining the power prediction information of each unit at the next moment t +1, and calculating the power value of the energy storage unit at the next moment as output, wherein the power prediction information comprises a hydrogen production power prediction value at the next moment, a wind power prediction value at the next moment and a photovoltaic power prediction value at the next moment; step three: and performing autonomous decision based on the calculation, sending an execution instruction to enable the energy storage unit to take the power value of the energy storage unit at the next moment as the power target value of the energy storage unit, and performing tracking adjustment to complete the operation optimization of the system.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a decision-making method for hydrogen production by a renewable energy direct-current micro-grid.
Background
In recent years, the generation of new energy such as wind power, photovoltaic and the like in China is continuously and rapidly developed, and the installed capacity and the generated energy are the first in the world. Meanwhile, as an important secondary energy source, the hydrogen energy industry in China is expected to reach trillion scale in 2030. The renewable energy resources are used for electrolyzing water to prepare hydrogen, so that the electric energy is converted into the hydrogen to be utilized, the problem of power generation consumption of the renewable energy resources in China can be effectively solved, and the requirement of hydrogen energy can be met. The surplus electric energy is converted into hydrogen energy by utilizing the hydrogen production of the electrolyzed water, so that the problem of power generation and consumption of renewable energy sources can be solved, and the rapid increase demand of the hydrogen energy can be met. The direct-current micro-grid-based hydrogen production system has the advantages that the organic coupling of wind power, photovoltaic, energy storage and hydrogen production is realized based on the direct-current micro-grid, the system efficiency is improved, the hydrogen production cost is reduced, a reproducible solution is provided for the efficient and low-cost hydrogen production of renewable energy, the great requirements on green and low-carbon energy are met, and the innovation of renewable energy and hydrogen energy industries in China is promoted. A typical structure is shown in fig. 1. The power distribution network is connected to the direct current bus through the AC/DC converter, the fan is connected to the direct current bus through the AC/DC converter, the photovoltaic is connected to the direct current bus through the DC/DC converter, the energy storage battery is connected to the direct current bus through the DC/DC converter, and the hydrogen production electrolytic cell is connected to the direct current bus through the DC/DC converter.
The hydrogen production electrolytic cell may have power fluctuation, under the condition, in order to ensure that the charging and discharging process of energy storage can be matched with the working condition as much as possible, reasonable scheduling and management on the energy storage are required in the operation process, and particularly when an upper-level scheduling mechanism sets that the renewable energy direct current micro-grid is merged into a power distribution network but no interactive power or the interactive power is limited, the charging and discharging power of the energy storage needs to be optimized, and the system scheduling is ensured to meet the requirements of the power distribution network.
Disclosure of Invention
In order to solve the technical problems, the invention provides a decision-making method for hydrogen production by a renewable energy direct-current micro-grid, which can provide an innovative solution for high-efficiency, low-cost and large-scale hydrogen production by renewable energy, and provides scientific and technical support for important development requirements of renewable energy and hydrogen energy industries in China in the future.
The technical scheme of the invention is as follows: a decision-making method for hydrogen production by renewable energy direct current micro-grid comprises the following steps:
the method comprises the following steps: the method comprises the steps that a renewable energy direct current microgrid energy management system monitors operation data in real time, when each unit in the renewable energy direct current microgrid operates, the renewable energy direct current microgrid energy management system acquires power information of each unit at the current moment, wherein the power information comprises hydrogen production power, wind power, photovoltaic power, energy storage unit power and energy storage unit SOC, and outputs the power information of each unit at the current moment;
step two: the renewable energy direct current microgrid energy management system takes the power information of each unit at the current moment output in the step one as input, combines the power prediction information of each unit at the next moment t +1, and comprises the following steps: the predicted value of the hydrogen production power at the next moment, the predicted value of the wind power at the next moment and the predicted value of the photovoltaic power at the next moment are judged according to the change degree of the hydrogen production power, and the power value of the energy storage unit at the next moment is calculated to be output;
step three: and the renewable energy direct-current microgrid energy management system carries out autonomous decision based on the calculation, sends out an execution instruction to enable the energy storage unit to take the energy storage unit power value at the next moment output by the step two as an energy storage unit power target value, and carries out tracking adjustment to complete operation optimization of the system.
Has the advantages that:
the invention provides a decision-making method for hydrogen production of a renewable energy direct-current micro-grid, which is based on hydrogen production power, wind power, photovoltaic power, power values of energy storage unit power at the current moment and the prediction moment and SOC of an energy storage unit, judges the change of the hydrogen production power, starts output strategy change adjustment, calculates the energy storage unit power at the next moment as a target optimized power value, and adjusts the energy storage unit power so as to optimize operation. The invention can provide an innovative solution for the high-efficiency, low-cost and large-scale hydrogen production of renewable energy sources, and provides scientific and technical support for the important development requirements of renewable energy sources and hydrogen energy industries in China in the future.
Drawings
FIG. 1 is a schematic diagram of renewable energy direct current micro-grid hydrogen production;
FIG. 2 is a flow chart of a decision-making method for hydrogen production by a renewable energy direct current microgrid.
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 without creative efforts based on the embodiments in the present invention belong to the protection scope of the present invention.
According to an embodiment of the invention, as shown in fig. 2, a decision-making method for hydrogen production by renewable energy direct current micro-grid is implemented as follows:
the method comprises the following steps: the method comprises the steps that a renewable energy direct current microgrid energy management system monitors operation data in real time, when each unit in the renewable energy direct current microgrid operates, the renewable energy direct current microgrid energy management system acquires power information of each unit at the current moment, wherein the power information comprises hydrogen production power, wind power, photovoltaic power, energy storage unit power and energy storage unit SOC, and outputs the power information of each unit at the current moment;
step two: the renewable energy direct current microgrid energy management system takes the power information of each unit at the current moment output in the step one as input, combines the power prediction information of each unit at the next moment t +1, and comprises the following steps: the predicted value of the hydrogen production power at the next moment, the predicted value of the wind power at the next moment and the predicted value of the photovoltaic power at the next moment are judged according to the change degree of the hydrogen production power, and the power value of the energy storage unit at the next moment is calculated to be output;
step three: and the renewable energy direct-current microgrid energy management system carries out autonomous decision based on the calculation, sends out an execution instruction to enable the energy storage unit to take the energy storage unit power value at the next moment output by the step two as an energy storage unit power target value, and carries out tracking adjustment to complete operation optimization of the system.
According to one embodiment of the invention, the first step: the renewable energy direct current microgrid energy management system monitors operation data in real time, and when each unit in the renewable energy direct current microgrid operates, the renewable energy direct current microgrid energy management system acquires power information of each unit at the current moment, wherein the power information comprises hydrogen production power, wind power, photovoltaic power, energy storage unit power and energy storage unit SOC, and the power information of each unit at the current moment is output, and the renewable energy direct current microgrid energy management system specifically comprises:
when each unit operates, the renewable energy direct-current microgrid energy management system acquires power information of each unit at the current moment t, including hydrogen production power PH,tWind power PW,tPhotovoltaic power PP,tPower P of energy storage unitE,tAnd the state of charge (SOC) of the energy storage unit.
According to an embodiment of the present invention, the second step: the renewable energy direct current microgrid energy management system takes the power information of each unit at the current moment output in the step one as input, and combines the power prediction information of each unit at the next moment t +1, and the renewable energy direct current microgrid energy management system comprises the following steps: the predicted value of the hydrogen production power at the next moment, the predicted value of the wind power at the next moment and the predicted value of the photovoltaic power at the next moment are judged according to the change degree of the hydrogen production power, and the power value of the energy storage unit at the next moment is calculated to be output; the method specifically comprises the following steps:
the renewable energy direct-current micro-grid energy management system takes the power information of each unit at the current moment in the step one as input, combines the power prediction information of each unit at the next moment t +1, and comprises a hydrogen generation power prediction value P at the next momentH,t+1And the predicted value P of the wind power at the next momentW,t+1The predicted value P of the photovoltaic power at the next momentP,t+1And according to the change degree of the hydrogen production power, judging and calculating the power value P of the energy storage unit at the next momentE,t+1As an output.
Referring to fig. 2, the method specifically includes the following steps:
starting hydrogen production power change judgment, judging PH,t+1Whether or not greater than PH,tThe method comprises the following steps:
when P is presentH,t+1>PH,tAnd (3) starting output strategy adjustment by the energy storage unit, and further analyzing the following steps (1) and (2):
(1) if P isH,t+1-PH,t>αHAnd is and
and (3) judging:
when SOC is reached<SOCL：
Then P isE,t+1＝0；
When SOC is reached>SOCL：
Then P isE,t+1＝(|PH,t+1|-|PW,t+1+PP,t+1|)(kHH|SOC-SOCL|2+kH|SOC-SOCL|+kHB)；
(2) If P isH,t+1-PH,t>αHAnd is and
and (3) judging:
when SOC is reached<SOCL：
PE,t+1＝0；
When SOC is reached>SOCL：
PE,t+1＝(|PH,t+1|-|PW,t+1+PP,t+1|)(kH|SOC-SOCL|+kHB)；
When the above conditions are not satisfied, PE,t+1No adjustment is made;
wherein: alpha is alphaH、βH、SOCL、kHH、kH、kHBThe method comprises the steps of respectively obtaining a power increment trigger value, a power increment change threshold value, a state of charge lower limit value, a power increment secondary regulation factor, a power increment regulation factor and a power increment regulation factor reference value of an energy storage unit.
After the calculation is finished, the energy storage output PE,t+1Of the power of (c).
When P is presentH,t+1<PH,tAnd (3) starting absorption strategy adjustment by the energy storage unit, and further analyzing the following steps (1) and (2):
(1) if P isH,t-PH,t+1>αLAnd is
And (3) judging:
when SOC is reached>SOCH：
Then P isE,t+1＝0
When SOC is reached<SOCH：
Then P isE,t+1＝(|PW,t+1+PP,t+1|-|PH,t+1|)(kLL|SOCH-SOC|2+kL|SOCH-SOC|+kLB)；
(2) If P isH,t-PH,t+1>αLAnd is
And (3) judging:
when SOC is reached>SOCH：
Then P isE,t+1＝0；
When SOC is reached<SOCH：
Then P isE,t+1＝(|PW,t+1+PP,t+1|-|PH,t+1|)(kL|SOCH-SOC|+kLB)；
When the above conditions are not satisfied, PE,t+1No adjustment is made;
wherein alpha isL、βL、SOCH、kLL、kL、kLBThe energy storage unit is respectively a power reduction trigger value, a power reduction change threshold value, a state of charge upper limit value, a power reduction secondary regulating factor, a power reduction regulating factor and a power reduction regulating factor reference value.
After the calculation is finished, the energy storage absorption PE,t+1Of the power of (c).
According to an embodiment of the present invention, the step three: the renewable energy direct-current micro-grid energy management system carries out autonomous decision based on the calculation, sends out an execution instruction to enable the energy storage unit to take the power value of the energy storage unit output in the second step at the next moment as the power target value of the energy storage unit, carries out tracking adjustment and completes operation optimization of the system, wherein the energy storage unit outputs P in the second stepE,t+1And the target value is used as a power target value, tracking adjustment is carried out, and operation optimization of the system is completed.
In summary, the invention provides a decision-making method for hydrogen production by renewable energy direct current micro-grid, which can provide an innovative solution for high-efficiency, low-cost and large-scale hydrogen production by renewable energy, and provide scientific and technical support for the important development requirements of renewable energy and hydrogen energy industry in China in the future.
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 as long as they are within the spirit and scope of the present invention as defined and defined by the appended claims, and all inventions utilizing the inventive concept are protected.
Claims (6)
1. A decision-making method for hydrogen production by renewable energy direct current micro-grid is characterized by comprising the following steps:
the method comprises the following steps: the method comprises the steps that a renewable energy direct current microgrid energy management system monitors operation data in real time, when each unit in the renewable energy direct current microgrid operates, the renewable energy direct current microgrid energy management system acquires power information of each unit at the current moment, wherein the power information comprises hydrogen production power, wind power, photovoltaic power, energy storage unit power and energy storage unit SOC, and outputs the power information of each unit at the current moment;
step two: the renewable energy direct current microgrid energy management system takes the power information of each unit at the current moment output in the step one as input, and combines the power prediction information of each unit at the next moment t +1, and the renewable energy direct current microgrid energy management system comprises the following steps: the predicted value of the hydrogen production power at the next moment, the predicted value of the wind power at the next moment and the predicted value of the photovoltaic power at the next moment are judged according to the change degree of the hydrogen production power, and the power value of the energy storage unit at the next moment is calculated to be output;
step three: and the renewable energy direct-current microgrid energy management system carries out autonomous decision based on the calculation, sends out an execution instruction to enable the energy storage unit to take the energy storage unit power value at the next moment output by the step two as an energy storage unit power target value, and carries out tracking adjustment to complete operation optimization of the system.
2. The decision-making method for hydrogen production by renewable energy direct current microgrid as claimed in claim 1,
the first step is as follows: the renewable energy direct current microgrid energy management system monitors operation data in real time, and when each unit in the renewable energy direct current microgrid operates, the renewable energy direct current microgrid energy management system acquires power information of each unit at the current moment, wherein the power information comprises hydrogen production power, wind power, photovoltaic power, energy storage unit power and energy storage unit SOC, and the power information of each unit at the current moment is output, and the renewable energy direct current microgrid energy management system specifically comprises:
when each unit operates, the renewable energy direct-current microgrid energy management system acquires power information of each unit at the current moment t, including hydrogen production power PH,tWind power PW,tPhotovoltaic power PP,tPower P of energy storage unitE,tAnd the state of charge (SOC) of the energy storage unit.
3. The decision-making method for hydrogen production by renewable energy direct current microgrid as claimed in claim 1,
the second step is as follows: the renewable energy direct current microgrid energy management system takes the power information of each unit at the current moment output in the step one as input, and combines the power prediction information of each unit at the next moment t +1, and the renewable energy direct current microgrid energy management system comprises the following steps: the predicted value of the hydrogen production power at the next moment, the predicted value of the wind power at the next moment and the predicted value of the photovoltaic power at the next moment are judged according to the change degree of the hydrogen production power, and the power value of the energy storage unit at the next moment is calculated to be output; the method specifically comprises the following steps:
the renewable energy direct-current micro-grid energy management system takes the power information of each unit at the current moment in the step one as input, combines the power prediction information of each unit at the next moment t +1, and comprises a hydrogen generation power prediction value P at the next momentH,t+1The predicted value P of the wind power at the next momentW,t+1The predicted value P of the photovoltaic power at the next momentP,t+1And judging according to the change degree of the hydrogen production power, and calculating the power value P of the energy storage unit at the next momentE,t+1As an output.
4. The decision-making method for hydrogen production by renewable energy direct current microgrid as claimed in claim 3, characterized by further comprising the steps of: starting hydrogen production power change judgment, judging PH,t+1Whether or not greater than PH,tThe method comprises the following steps:
when P is presentH,t+1>PH,tWhen, the following steps (1) and (2) were further analyzed:
(1) if P isH,t+1-PH,t>αHAnd is and
and (3) judging:
when SOC is reached<SOCL：
Then P isE,t+1＝0；
When SOC is reached>SOCL：
Then P isE,t+1＝(|PH,t+1|-|PW,t+1+PP,t+1|)(kHH|SOC-SOCL|2+kH|SOC-SOCL|+kHB)；
(2) If P isH,t+1-PH,t>αHAnd is and
and (3) judging:
when SOC is reached<SOCL：
PE,t+1＝0；
When SOC is reached>SOCL：
PE,t+1＝(|PH,t+1|-|PW,t+1+PP,t+1|)(kH|SOC-SOCL|+kHB)；
When the above conditions are not satisfied, PE,t+1No adjustment is made;
wherein: alpha is alphaH、βH、SOCL、kHH、kH、kHBRespectively setting a power increment trigger value, a power increment change threshold value, a state of charge lower limit value, a power increment secondary regulation factor, a power increment regulation factor and a power increment regulation factor reference value of the energy storage unit;
after the calculation is finished, the energy storage output PE,t+1Of the power of (c).
5. The decision-making method for hydrogen production by renewable energy direct current microgrid as claimed in claim 3, characterized by further comprising the steps of: starting hydrogen production power change judgment, judging PH,t+1Whether or not greater than PH,tThe method comprises the following steps:
when P is presentH,t+1<PH,tWhen, the following steps (1) and (2) were further analyzed:
(1) if P isH,t-PH,t+1>αLAnd is
And (3) judging:
when SOC is reached>SOCH：
Then P isE,t+1＝0
When SOC is reached<SOCH：
Then P isE,t+1＝(|PW,t+1+PP,t+1|-|PH,t+1|)(kLL|SOCH-SOC|2+kL|SOCH-SOC|+kLB)；
(2) If P isH,t-PH,t+1>αLAnd is
And (3) judging:
when SOC is reached>SOCH：
Then P isE,t+1＝0；
When SOC is reached<SOCH：
Then P isE,t+1＝(|PW,t+1+PP,t+1|-|PH,t+1|)(kL|SOCH-SOC|+kLB)；
When the above conditions are not satisfied, PE,t+1No adjustment is made;
wherein alpha isL、βL、SOCH、kLL、kL、kLBRespectively setting a power reduction trigger value, a power reduction change threshold value, a state of charge upper limit value, a power reduction secondary regulating factor, a power reduction regulating factor and a power reduction regulating factor reference value of the energy storage unit;
after the calculation is finished, the energy storage absorption PE,t+1Of the power of (c).
6. The decision-making method for hydrogen production through renewable energy direct current microgrid according to claim 1 is characterized in that the third step: the renewable energy direct-current microgrid energy management system performs autonomous decision making based on the calculation, sends out an execution instruction to enable the energy storage unit to take the energy storage unit power value outputted in the second step at the next moment as an energy storage unit power target value, performs tracking adjustment, and completes operation optimization of the system, and specifically comprises:
wherein the energy storage unit outputs P from the second stepE,t+1And the target value is used as a power target value, tracking adjustment is carried out, and operation optimization of the system is completed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110996785.2A CN113794193B (en) | 2021-08-27 | 2021-08-27 | Decision-making method for hydrogen production by renewable energy direct-current micro-grid |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110996785.2A CN113794193B (en) | 2021-08-27 | 2021-08-27 | Decision-making method for hydrogen production by renewable energy direct-current micro-grid |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113794193A true CN113794193A (en) | 2021-12-14 |
| CN113794193B CN113794193B (en) | 2024-04-26 |
Family
ID=79182282
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110996785.2A Active CN113794193B (en) | 2021-08-27 | 2021-08-27 | Decision-making method for hydrogen production by renewable energy direct-current micro-grid |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113794193B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114507864A (en) * | 2021-12-27 | 2022-05-17 | 清华大学 | Water electrolysis hydrogen production system and method based on direct current energy supply system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014153570A2 (en) * | 2013-03-15 | 2014-09-25 | Transtar Group, Ltd | New and improved system for processing various chemicals and materials |
| WO2017161785A1 (en) * | 2016-03-23 | 2017-09-28 | 严利容 | Method for controlling stable photovoltaic power output based on energy storage running state |
| CN109301914A (en) * | 2018-09-07 | 2019-02-01 | 河海大学常州校区 | A kind of photovoltaic microgrid energy storage control method with SOC optimization |
| CN110190628A (en) * | 2019-06-12 | 2019-08-30 | 西南交通大学 | A kind of full Parallel AT tractive power supply system of multiple line based on comprehensive energy and method |
| CN110544935A (en) * | 2019-07-29 | 2019-12-06 | 西南交通大学 | electric-hydrogen multi-energy complementary direct-current micro-grid coordinated scheduling method |
| CN111738503A (en) * | 2020-06-15 | 2020-10-02 | 国网安徽省电力有限公司经济技术研究院 | Integrated energy microgrid day-ahead operation scheduling method and system with hydrogen energy as core |
-
2021
- 2021-08-27 CN CN202110996785.2A patent/CN113794193B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014153570A2 (en) * | 2013-03-15 | 2014-09-25 | Transtar Group, Ltd | New and improved system for processing various chemicals and materials |
| WO2017161785A1 (en) * | 2016-03-23 | 2017-09-28 | 严利容 | Method for controlling stable photovoltaic power output based on energy storage running state |
| CN109301914A (en) * | 2018-09-07 | 2019-02-01 | 河海大学常州校区 | A kind of photovoltaic microgrid energy storage control method with SOC optimization |
| CN110190628A (en) * | 2019-06-12 | 2019-08-30 | 西南交通大学 | A kind of full Parallel AT tractive power supply system of multiple line based on comprehensive energy and method |
| CN110544935A (en) * | 2019-07-29 | 2019-12-06 | 西南交通大学 | electric-hydrogen multi-energy complementary direct-current micro-grid coordinated scheduling method |
| CN111738503A (en) * | 2020-06-15 | 2020-10-02 | 国网安徽省电力有限公司经济技术研究院 | Integrated energy microgrid day-ahead operation scheduling method and system with hydrogen energy as core |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114507864A (en) * | 2021-12-27 | 2022-05-17 | 清华大学 | Water electrolysis hydrogen production system and method based on direct current energy supply system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113794193B (en) | 2024-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110544935B (en) | Electric-hydrogen multi-energy complementary direct-current micro-grid coordinated scheduling method | |
| Howlader et al. | Distributed generation incorporated with the thermal generation for optimum operation of a smart grid considering forecast error | |
| CN106230007B (en) | A kind of micro-capacitance sensor energy storage Optimization Scheduling | |
| CN114204606A (en) | Wind-hydrogen-storage system operation mode design method | |
| CN111327078A (en) | Household energy scheduling method, energy management module and household energy system | |
| Huangfu et al. | An optimal energy management strategy with subsection bi-objective optimization dynamic programming for photovoltaic/battery/hydrogen hybrid energy system | |
| CN113794193B (en) | Decision-making method for hydrogen production by renewable energy direct-current micro-grid | |
| Pan et al. | Dual-layer optimal dispatching strategy for microgrid energy management systems considering demand response | |
| Fujii et al. | Proposal for solar powered grid based on reused PCs | |
| CN113410832B (en) | Wind-solar hydrogen storage integrated energy direct-current micro-grid operation control method | |
| CN113471948B (en) | Self-adaptive management and control method for wind-solar-energy-storage complementary hydrogen production alternating current-direct current system | |
| CN115085227A (en) | Micro-grid source storage capacity configuration method and device | |
| CN114723278A (en) | Community microgrid scheduling method and system considering photovoltaic energy storage | |
| Wang et al. | Renewable and distributed energy integration with mini/microgrids | |
| CN110112775B (en) | Micro-energy network system containing distributed energy storage | |
| CN108183504B (en) | New forms of energy electric motor car charging station | |
| CN113794194A (en) | Self-adaptive control method for hydrogen production of renewable energy direct-current micro-grid | |
| CN107134773B (en) | A kind of intelligent micro-grid running optimizatin method based on event | |
| CN113595055B (en) | Operation optimization method of distributed multi-threshold driving electro-hydrogen direct-current micro-grid | |
| CN110401219B (en) | Intelligent operation method of distributed energy and user group alternating current-direct current power distribution and utilization system | |
| HanLiang et al. | Research on Energy Dispatching Strategy Based on Energy Forecast Algorithm for Data Center | |
| CN115238505B (en) | Thermoelectric hydrogen combined supply type system optimal configuration method and system based on wind-solar field station | |
| CN113675889A (en) | Multi-terminal direct-current microgrid hydrogen production control method based on energy storage regulation | |
| CN116681468B (en) | Light storage straight-flexible system cost optimization method and device based on improved whale algorithm | |
| Wang et al. | Research on Low-Carbon Operation of Substation Power Supply System Based on Microgrids |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |