CN117575515A - Optimized operation method and system for comprehensive energy conversion based on hydrogen conversion - Google Patents
Optimized operation method and system for comprehensive energy conversion based on hydrogen conversion Download PDFInfo
- Publication number
- CN117575515A CN117575515A CN202311525138.9A CN202311525138A CN117575515A CN 117575515 A CN117575515 A CN 117575515A CN 202311525138 A CN202311525138 A CN 202311525138A CN 117575515 A CN117575515 A CN 117575515A
- Authority
- CN
- China
- Prior art keywords
- hydrogen
- conversion
- efficiency
- energy
- 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.)
- Pending
Links
- 239000001257 hydrogen Substances 0.000 title claims abstract description 328
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 328
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 304
- 238000006243 chemical reaction Methods 0.000 title claims abstract description 118
- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000004519 manufacturing process Methods 0.000 claims abstract description 84
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims abstract description 66
- 238000003860 storage Methods 0.000 claims abstract description 61
- 238000005457 optimization Methods 0.000 claims abstract description 35
- 230000006870 function Effects 0.000 claims abstract description 31
- 238000010248 power generation Methods 0.000 claims abstract description 27
- 239000000446 fuel Substances 0.000 claims abstract description 18
- 238000007599 discharging Methods 0.000 claims abstract description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 16
- 150000002431 hydrogen Chemical class 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 13
- 238000005485 electric heating Methods 0.000 claims description 12
- 239000007789 gas Substances 0.000 claims description 9
- 238000012546 transfer Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 4
- 238000005094 computer simulation Methods 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 239000002245 particle Substances 0.000 description 10
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 6
- 238000011160 research Methods 0.000 description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 238000005868 electrolysis reaction Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 229910002092 carbon dioxide Inorganic materials 0.000 description 3
- 239000001569 carbon dioxide Substances 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 239000012528 membrane Substances 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 239000003345 natural gas Substances 0.000 description 2
- 230000010287 polarization Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 239000013598 vector Substances 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000003197 catalytic effect Effects 0.000 description 1
- 238000010276 construction Methods 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
- 238000009792 diffusion process Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011017 operating method Methods 0.000 description 1
- 238000013486 operation strategy Methods 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000036632 reaction speed Effects 0.000 description 1
- 238000006479 redox reaction Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- 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
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Mathematical Physics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Quality & Reliability (AREA)
- Pure & Applied Mathematics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Fuel Cell (AREA)
Abstract
The invention provides an optimized operation method and system for comprehensive energy conversion based on hydrogen conversion, comprising the following steps: the method comprises the steps of respectively modeling aiming at three subsystems aiming at a comprehensive energy conversion system comprising a hydrogen production system, a hydrogen storage system and a hydrogen conversion system; based on the established model, establishing an objective function and constraint conditions considering the operation cost and the efficiency penalty coefficient; the method comprises the steps of selecting electric energy power transmitted to a hydrogen production system by renewable energy power generation and hydrogen charging and discharging power of a hydrogen storage system, taking hydrogen power input into a methane reactor and hydrogen power input into a hydrogen fuel cell in a hydrogen conversion system as optimization variables, solving established objective functions and constraint conditions, obtaining optimized optimization variables, and operating a comprehensive energy conversion system based on the optimized optimization variables.
Description
Technical Field
The invention belongs to the technical field of renewable energy source to high-density energy source conversion, and particularly relates to a comprehensive energy source conversion system integrating renewable energy sources and an operation optimization method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The volatility and uncertainty characteristics of renewable energy sources present a great challenge to the safe and stable operation of the power grid. When peak shaving is difficult, the safety of the power grid must be maintained by discarding electricity, resulting in great waste of renewable energy sources. As clean secondary energy, hydrogen energy becomes an energy conversion carrier with the most extensive application prospect due to high energy density, no self-discharge, long service life and large-scale storage and utilization. Renewable energy source water electrolysis hydrogen production is one of the current research hot spots. The renewable energy sources (such as wind power generation and photovoltaic power generation) are utilized to electrolyze water to produce hydrogen, so that the renewable energy sources are promoted to be converted into high-density energy sources, the pollution of carbon emission to the environment in the hydrogen production process can be remarkably reduced, and the problem of difficult power grid dispatching can be effectively solved.
At present, the main hydrogen production mode is electric hydrogen production, namely water electrolysis hydrogen production. The main equipment used in the electrolytic hydrogen production technology is an electrolytic tank in which hydrogen and oxygen are generated by electrolysis of water. The electrolyzer is used as the core equipment of the renewable energy electrolytic hydrogen production system and comprises an alkaline electrolyzer, a proton exchange membrane electrolyzer (PEM) and a high-temperature solid oxide electrolyzer. Wherein the high-temperature solid oxide electrolytic cell is still in a laboratory stage at present and is not popularized and used commercially; although the technology of the alkaline electrolytic cell is mature, the alkaline electrolytic cell has the problems of poor dynamic regulation, low efficiency, short service life and the like. The PEM electrolytic cell has the advantages of quick dynamic response, large current density, wide adjustment range and the like, and can be widely applied to renewable energy hydrogen production systems.
In the aspect of efficiency improvement research of an electrolytic hydrogen production device, at present, 3 methods are mainly adopted:
1. the novel electrolytic hydrogen production assembly is used, the stability of the electrolytic process is improved by selecting a novel membrane material, and ions are prevented from being transmitted from the anode to the cathode, so that the hydrogen production efficiency is higher.
2. New electrode catalytic materials are developed to accelerate the reaction speed of the electrochemical process and improve the hydrogen production efficiency.
3. The operating parameters are changed during the hydrogen production process.
Among them, the former two methods require expensive materials and advanced chemical technology, and there are few specific examples of application in engineering, and 3 rd method can increase the overall efficiency of electrolysis by more than 2 times, but may affect the overall life of the electrolytic cell.
In the energy field, hydrogen is widely regarded as a clean and efficient energy carrier, and has the potential to solve the problems of climate change and energy supply sustainability. However, hydrogen gas remains challenging to store and transport, limiting its wide range of applications. To overcome these challenges, researchers have been working to explore methods of converting hydrogen into other forms of energy.
Among them, studies for converting hydrogen into methane and heat energy have been attracting attention. Methane is a common natural gas component and is widely used in the fields of heating, power generation, transportation and the like. By reacting hydrogen with carbon dioxide (CO 2), methane can be synthesized, which is capable of storing not only hydrogen as methane, but also capturing carbon dioxide as a carbon source and reducing greenhouse gas emissions. The process can also generate heat energy for various applications, further improving energy utilization efficiency.
The background of this research is the pursuit of a sustainable energy conversion process, which by converting hydrogen into methane and thermal energy, is expected to meet energy demands, reduce carbon dioxide emissions, and improve hydrogen storage and transport problems. Research in this area has positively impacted future energy system sustainability and clean energy, providing a promising solution to climate change and energy supply challenges.
In summary, the existing optimization control method for the hydrogen production, hydrogen storage and hydrogen conversion system by using the large-scale renewable energy sources has some defects. Mainly comprises the problems of high operation cost, low hydrogen production efficiency and the like in the aspects of cost and efficiency of the existing hydrogen conversion technology, and causes energy waste.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an optimized operation method for comprehensive energy conversion based on hydrogen conversion, which can ensure the safe operation of a system, improve the hydrogen production efficiency of an electrolytic tank and reduce the operation cost.
To achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
in a first aspect, an optimized operating method for integrated energy conversion based on hydrogen conversion is disclosed, comprising:
the method comprises the steps of respectively modeling aiming at three subsystems aiming at a comprehensive energy conversion system comprising a hydrogen production system, a hydrogen storage system and a hydrogen conversion system;
based on the established model, establishing an objective function and constraint conditions considering the operation cost and the efficiency penalty coefficient;
the method comprises the steps of selecting electric energy power transmitted to a hydrogen production system by renewable energy power generation and hydrogen charging and discharging power of a hydrogen storage system, taking hydrogen power input into a methane reactor and hydrogen power input into a hydrogen fuel cell in a hydrogen conversion system as optimization variables, solving established objective functions and constraint conditions, obtaining optimized optimization variables, and operating a comprehensive energy conversion system based on the optimized optimization variables.
As a further technical scheme, when modeling the hydrogen production system, the method comprises the following steps: defining power generated by the solar photovoltaic panel for the solar photovoltaic panel;
for the electrolyzer, an expression of the electro-hydrogen conversion efficiency of the hydrogen plant is obtained.
As a further technical scheme, the hydrogen storage system: when the hydrogen generated by the hydrogen production system is larger than that required by the hydrogen conversion system, the hydrogen storage system can be filled with hydrogen;
when the hydrogen produced by the hydrogen production system is smaller than the hydrogen conversion system, the hydrogen storage system supplies the hydrogen to the hydrogen conversion system.
As a further technical scheme, the hydrogen conversion system comprises a hydrogen-to-methane system and a hydrogen-to-electric heating system;
the hydrogen-to-methane system needs to meet relevant power and start-stop constraints;
and acquiring an energy conversion model of the hydrogen-based electric heating system based on the hydrogen fuel cell.
As a further technical solution, the objective function is composed of running cost and efficiency penalty coefficients;
in the method, in the process of the invention,cost of life cycle, μ, for conversion of photovoltaic devices HES 、μ MR 、μ HFC The operation cost coefficients of the hydrogen storage device, the hydrogen-to-methane system and the hydrogen-to-electric heating system are respectively, and ζ is the efficiency penalty coefficient of the hydrogen production device, η and η max Is the efficiency and maximum efficiency of the hydrogen production system.
As a further technical solution, the constraint condition includes:
hydrogen transfer equilibrium constraints, hydrogen production systems, hydrogen storage systems, and hydrogen conversion systems need to maintain hydrogen transfer equilibrium;
the limitation of hydrogen supply of photovoltaic power generation is that the electric energy supplied to the hydrogen production system by the photovoltaic power generation is required to be within the limit of the photovoltaic power generation;
hydrogen storage system constraints;
hydrogen conversion system constraints;
thermal load constraints;
and (5) gas load constraint.
As a further technical scheme, a balance optimization algorithm is adopted when solving the objective function and the constraint condition.
In a second aspect, an optimized operating system for integrated renewable energy comprehensive energy conversion is disclosed, comprising:
a system modeling module configured to: the method comprises the steps of respectively modeling aiming at three subsystems aiming at a comprehensive energy conversion system comprising a hydrogen production system, a hydrogen storage system and a hydrogen conversion system;
an objective function and constraint establishment module configured to: based on the established model, establishing an objective function and constraint conditions considering the operation cost and the efficiency penalty coefficient;
a solution module configured to: the method comprises the steps of selecting electric energy power transmitted to a hydrogen production system by renewable energy power generation and hydrogen charging and discharging power of a hydrogen storage system, taking hydrogen power input into a methane reactor and hydrogen power input into a hydrogen fuel cell in a hydrogen conversion system as optimization variables, solving established objective functions and constraint conditions, obtaining optimized optimization variables, and operating a comprehensive energy conversion system based on the optimized optimization variables.
The one or more of the above technical solutions have the following beneficial effects:
the invention provides energy for the hydrogen production device through the solar photovoltaic panel, and a hydrogen storage system and a hydrogen conversion system are added, so that mathematical modeling of hydrogen production, hydrogen storage and hydrogen conversion is established. Then, an operation optimization method of the system is provided, an objective function and constraint conditions based on operation cost and efficiency penalty coefficient are established, the provided operation strategy not only can ensure safe operation of the system, but also can improve hydrogen production efficiency of the electrolytic tank, reduce operation cost, and provide theoretical basis for large-scale application of the electrolytic hydrogen production and hydrogen storage conversion system in an electric power system.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a system block diagram of an embodiment of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Example 1
The embodiment discloses an optimized operation method of comprehensive energy conversion based on hydrogen conversion, which is based on an integrated renewable energy source large-scale hydrogen production-hydrogen storage-hydrogen conversion comprehensive energy conversion system, wherein the system mainly comprises three subsystems of hydrogen production, hydrogen storage and hydrogen conversion, and is shown in the attached figure 1.
The detailed implementation process of the optimized operation method comprises the following steps:
step one: mathematical modeling is carried out on the three subsystems respectively;
1-1) mathematical modeling of Hydrogen production systems
Solar photovoltaic panel
The present invention proposes the most environmentally friendly method of mass production of hydrogen for renewable energy sources, where photovoltaic panels are placed to supply electricity to the electrolyzer. The environmental conditions that determine the temperature of the panel surface have a great impact on the efficiency of the photovoltaic panel.
Definition of power produced by solar photovoltaic panels E PV (t) is:
E PV ＝η PV ×A PV ×I (2-1)
A PV ＝N PV ×L PV ×H PV (2-2)
η PV ＝η ref ×(1-β ref ×(T surfacePV -T ref )) (2-3)
wherein eta is PV Is a function of the surface temperature of the solar photovoltaic panel, and is defined by (2-3). η (eta) ref And beta ref Reference efficiency and beta efficiency, T, respectively, of the photovoltaic panel surfacePV 、T ref Is the photovoltaic panel surface temperature and the reference temperature. A is that PV Is the total area of the photovoltaic panel, defined by (2-2), where N PV 、L PV 、H PV The number, length and width of the photovoltaic panels respectively. I represents the intensity of solar radiation.
The power generation of the solar photovoltaic panel can be predicted by the power definition formula, and the maximum limit of the subsequent hydrogen production system is determined. The advantages are that: the method can obtain the amount of generated energy generated after the solar cell panel is locally installed under the condition of knowing the illumination temperature of the installation region and the like so as to evaluate whether the method is suitable for photovoltaic power generation, subsequent hydrogen production and the like.
Efficiency characteristics of the electrolyzer
The invention takes PEM electrolytic cells as research objects. PEM electrolysers principally contain a membrane electrode, a plate electrode, and a gas diffusion layer. When the PEM electrolytic tank works, an external heat source is needed to keep the reaction temperature, and the energy H needed in unit time is electric energy P ele With heat energy Q ele The sum is that:
the cell operating voltage can be expressed as:
U＝U re +U con +U act +U ohm (2-5)
in U re Is a reversible voltage; u (U) ohm Is an ohmic polarization overvoltage; u (U) con Is the concentration polarization overvoltage; u (U) act To activate the overvoltage, it can be expressed as:
U re ＝1.481-8.452e -4 T (2-6)
U ohm ＝(r 1 +r 2 T/A ele )I (2-7)
wherein A is ele Is the area of the cathode plate; r is (r) 1 、r 2 、s 1 、s 2 、s 3 、k 1 、k 2 、k 3 、t 1 、t 2 Is an empirical coefficient.
According to Faraday's law, the hydrogen production rate of the electrolytic cell in unit time can be calculated as follows:
wherein n is a mole number; dn/dt is the rate of electrolyzed water; f is Faraday constant, equal to 96485C/MOL.
The energy contained in the hydrogen produced in unit time is as follows:
in the method, in the process of the invention,the heating value of hydrogen is equal to 284.7KJ/MOL.
Heat energy Q is generated due to the internal resistance of the electrolytic cell h The heat energy generated per unit time is:
Q h ＝(U ohm +U con +U act )I (2-12)
the energy conversion efficiency of the electrolytic cell obtained by combining the formulas (2-3) - (2-11) is as follows:
wherein T is 0 Is ambient temperature.
The combined formulas (2-2) and (2-12) can obtain the electro-hydrogen conversion efficiency of the hydrogen production device as follows:
η＝η rect ·η ele (2-14)
heat energy Q is generated due to the internal resistance of the electrolytic cell h The heat energy generated per unit time is:
Q h ＝(U ohm +U con +U act )I (2-15)
the energy conversion efficiency of the electrolytic cell obtained by combining the formulas (2-3) - (2-11) is as follows:
wherein T is 0 Is ambient temperature.
The combined formulas (2-2) and (2-12) can obtain the electro-hydrogen conversion efficiency of the hydrogen production device as follows:
η＝η rect ·η ele (2-17)
the electric-hydrogen conversion efficiency of the hydrogen production device is added into the objective function, see (5-1), the maximum efficiency value is calculated first, and the difference between the maximum value and the objective function is used as an efficiency penalty term.
1-2) mathematical modeling of hydrogen storage systems
When the hydrogen produced by the hydrogen production system is larger than that required by the hydrogen conversion system, the hydrogen storage system can be charged with hydrogen
When the hydrogen generated by the hydrogen production system is smaller than the hydrogen needed by the hydrogen conversion system, the hydrogen storage system supplies the hydrogen to the hydrogen conversion system
In the method, in the process of the invention,for the amount of hydrogen stored in the hydrogen storage system at hour t, +.>The hydrogen charging and discharging efficiency of the hydrogen storage system are respectively +.>The hydrogen charging and discharging power of the hydrogen storage system are respectively.
The produced hydrogen is either directly used for entering a hydrogen conversion system or stored for entering a hydrogen storage system, and has the advantages that: the hydrogen storage system can be used for producing hydrogen with maximum efficiency within a certain margin, and hydrogen which cannot be consumed by the hydrogen conversion system can be stored, so that the hydrogen production efficiency is improved.
1-3) mathematical modeling of Hydrogen conversion systems
The hydrogen conversion system is mainly divided into two parts, namely a hydrogen-to-methane system and a hydrogen-to-electric heating system.
The hydrogen conversion system is a system for the end use of hydrogen, and a hydrogen production system or a hydrogen storage system is required to supply hydrogen thereto.
The formula is associated: and (5-2), storing the hydrogen produced by the hydrogen production system into a hydrogen storage system, or directly using the hydrogen to enter a hydrogen conversion system, wherein the three systems are connected through hydrogen transmission power, the hydrogen is produced by the hydrogen production system, and the hydrogen is stored by the hydrogen storage system and finally consumed by the hydrogen conversion system.
Hydrogen methane system:
the hydrogen can realize hydrogen methanation through the methane reactor, realizes hydrogen conversion, and has a system model mainly of (4-1) and needs to meet related power and start-stop constraint
Wherein, in the formula, eta MR Methanation efficiency for the methane reactor;and->The hydrogen power input into the methane reactor and the gas power output from the methane reactor are respectively; x-shaped articles CH4 Is the heat value of natural gas; m is m CH4 Mass per unit volume of methane; kappa (kappa) mol Molar conversion coefficient for hydrogen to methane, < >> And->The upper/lower limit of hydrogen power and the upper/lower limit of ramp rate of the input methane reactor are respectively.
The mathematical relationship between the amount of the input hydrogen and the amount of the output methane of the methane reactor is established through the formula, so that the hydrogen can be converted into methane, and the methane load requirement is met.
Hydrogen-making electric heating system:
the hydrogen fuel cell is the main equipment of the system, and generates electric energy by carrying out oxidation-reduction reaction on hydrogen energy generated in an electric hydrogen production link, and converts the generated electric energy into heat energy through the heat collecting device, so that electric-thermal coupling complementation is realized. The electrothermal conversion efficiency of a hydrogen fuel cell can be approximately regarded as a constant, and its energy conversion model is as follows:
in the method, in the process of the invention,and->The electric and thermal power conversion efficiencies of the hydrogen fuel cell at the time t are respectively;
and->The electric power and the thermal power output by the hydrogen fuel cell at the time t are respectively; />Inputting the hydrogen power of the hydrogen fuel cell at the time t; />And->The upper/lower limit of hydrogen power and the upper/lower limit of ramp rate of the input hydrogen fuel cell are respectively.
The mathematical relationship between the amount of the input hydrogen and the output electric heat of the hydrogen fuel cell is established through the formula, so that the hydrogen can be converted into heat energy, and the heat load requirement is met.
The invention relates to a renewable energy source large-scale hydrogen production-hydrogen storage-hydrogen conversion comprehensive energy conversion system, which mainly aims at methane gas load and heat load by determining the load demand of the system, and the demand of electric load is provided by a power distribution system and the like, so that the invention only aims at the methane gas load and the heat load. The variable of the system operation optimization is the power P of the renewable energy power generation transmitted to the hydrogen production system ele And the hydrogen filling and discharging power of the hydrogen storage system, the hydrogen power input into the methane reactor and the hydrogen power input into the hydrogen fuel cell in the hydrogen conversion system.
The power is controlled by the embodiment of the application, namely the operation control, and the specific methodThe result obtained by the follow-up optimization is the specific value of the power can be known after the result is obtained by the optimization, and the control operation is performed through the optimization result. The relation with the schedule is: because the user has electric load, thermal load and methane load, the electric power system is mainly responsible for the electric load, and then a certain power is selected from renewable energy power generation and is input into the hydrogen production system, namely the electric power P transmitted to the hydrogen production system by the renewable energy power generation ele The remainder is then re-fed to the power system, which is mainly responsible for the thermal and methane loads.
Objective function
The objective function of the system is composed of operation cost and efficiency punishment molecules.
In the method, in the process of the invention,cost of life cycle, μ, for conversion of photovoltaic devices PEM 、μ HES 、μ MR 、μ HFC The operation cost coefficients of the hydrogen production system, the hydrogen storage device, the hydrogen-methane production system and the hydrogen-electric heating system are respectively, and ζ is the efficiency penalty coefficient of the hydrogen production device, η and η max Is the efficiency and maximum efficiency of the hydrogen production system.
The function adds the running cost mu of the hydrogen production system PEM P ele 2 ，P ele The power of the hydrogen production system is input into the photovoltaic.
In summary, the objective function integrates the running costs of the model,cost per period, mu, of the life cycle for cost-effective construction of photovoltaic devices PV Cost per unit area of photovoltaic device, A PV Is the total area of the photovoltaic panel, T use Mu for the period of use HES (P HES,dis +P HES,chr ) 2 For hydrogen storage devicesRunning cost, mu HES Is the running cost coefficient of the hydrogen storage equipment, P HES,dis ，P HES,chr Releasing hydrogen and charging power for the hydrogen storage device, < >>Is the operating cost of the hydrogen-to-methane system, +.>Is the running cost mu of the hydrogen-made electric heating system MR 、μ HFC The operation cost coefficients of the hydrogen methane system and the hydrogen electric heating system are respectively-xi (eta) max -eta) is the efficiency penalty molecule of the hydrogen plant, and ζ is the efficiency penalty coefficient of the hydrogen plant, eta and eta max Is the efficiency and maximum efficiency of the hydrogen production system.
Constraint conditions
1) Hydrogen transfer equilibrium constraints, hydrogen production systems, hydrogen storage systems, and hydrogen conversion systems require maintaining hydrogen transfer equilibrium
2) The limitation of hydrogen supply of photovoltaic power generation is that the electric energy supplied to the hydrogen production system by the photovoltaic power generation is required to be within the limit of the photovoltaic power generation.
P ele ≤E PV (5-3)
3) Hydrogen storage system constraints
4) Hydroconversion system constraints
5) Thermal load constraints
6) Gas load restraint
Balance optimization algorithm
The equilibrium optimizer algorithm (EO) was proposed by Afshin Faramarzi et al in 2019, and is a novel optimization algorithm inspired by physical phenomena, so as to dynamically balance the volume mass, obtain the optimal equilibrium concentration, and be effectively applied to reference functions and engineering problems at present. In the algorithm, each particle corresponds to one concentration, different particles form a population, the initial population is randomly generated, five candidate solutions are formed by the first four optimal solutions and the average value thereof, and an equilibrium state pool is formed. The specific steps for the algorithm are as follows:
(1) Initializing a population. In the variable range of explicitly optimized variables [ C min ,C max ]Thereafter, an initial population comprising individual particles is randomly generated within this range:
in formula (3-1): c (C) max And C min Respectively, the lower and upper bounds of the variable range of the optimization variable, rand i The dimension is consistent with the number of particles in the population, and each element in the vector is 0,1]Random numbers in between.
(2) And constructing an equilibrium state pool. After the population is initialized, the first four optimal solutions can be determined by calculating the fitness value of each particle, then five candidate solutions forming the balance state pool can be determined by calculating the average value of the four solutions, one candidate solution can be randomly selected from the five candidate solutions when the particles are updated, the probability of each candidate solution being selected is consistent, and the problem that the low-quality updating of the particles and the alleviation algorithm are easy to be in the trouble of local optimization can be avoided to a certain extent. The specific composition of the equilibrium state pool is as follows:
(3) And determining the index term coefficient. The index term coefficient is related to the iteration times, and the capacity of global searching and local optimizing of the algorithm can be balanced by setting different parameters:
wherein t can be calculated from the maximum iteration number and the current iteration number, and is specifically shown as the formula (3-4)
In the above formula: a, a 1 And a 2 Coefficients for controlling global searching capability and local optimizing capability are respectively, the constant values are 2 and 1, and different values can be taken according to the problems;and->Is with rand i Vectors of the same form; iter and Max iter The maximum iteration number is set for the current iteration number and algorithm.
(4) A mass generation rate is determined. In order to obtain high quality solutions for the algorithm in partial mining, the EO algorithm introduces a mass production rate that can be calculated from equation (3-5).
In the middle ofThe calculation of (2) is as follows:
in the above formula:is a candidate solution randomly selected from the equilibrium state pool; />The solution to be updated is the current solution to be updated; r is (r) 1 And r 2 Is [0,1]Random numbers in between; GP generates probabilities.
(5) Updating the solution is performed. After the four steps described above, the EO algorithm updates the current solution by:
in the above formula: v is always 1.
When the method is specifically used, the objective function can be used as the fitness value of the algorithm to calculate, and then the balance state pool is constructed according to the fitness value. The constraint acts as a range constraint for particle movement in the algorithm, limiting particle movement in a region.
The solving process comprises the following steps:
the specific flow of the balance optimization algorithm is as follows:
step1: setting related parameters.
step2: selecting electric energy power P transmitted to hydrogen production system by renewable energy power generation ele And the hydrogen filling and discharging power of the hydrogen storage system, the hydrogen power input into the methane reactor and the hydrogen power input into the hydrogen fuel cell in the hydrogen conversion system are used as optimization variables, the population is initialized in the optimization variable range, and the global optimal solution is set to be minus infinity.
step3: and (5-2) calculating the fitness value of each particle in the population by taking the (5-2) as a fitness function.
step4: determining a pool of equilibrium states according to formulas (5-13)
step5: updating the exponential term coefficients according to (5-14) (5-15)
step6: updating the quality generation coefficients according to (5-16) (5-17) (5-18)
step7: updating the individual's current solution according to formulas (5-19)
step8: judging whether a stopping condition is met, if so, outputting a final result, otherwise, repeating Step4-Step7.
Through the above flow, the operation optimization of the system is completed.
Example two
It is an object of the present embodiment to provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which processor implements the steps of the above method when executing the program.
Example III
An object of the present embodiment is to provide a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method.
Example IV
It is an object of this embodiment to provide an optimized operation system for integrated renewable energy comprehensive energy conversion, comprising:
a system modeling module configured to: the method comprises the steps of respectively modeling aiming at three subsystems aiming at a comprehensive energy conversion system comprising a hydrogen production system, a hydrogen storage system and a hydrogen conversion system;
an objective function and constraint establishment module configured to: based on the established model, establishing an objective function and constraint conditions considering the operation cost and the efficiency penalty coefficient;
a solution module configured to: the method comprises the steps of selecting electric energy power transmitted to a hydrogen production system by renewable energy power generation and hydrogen charging and discharging power of a hydrogen storage system, taking hydrogen power input into a methane reactor and hydrogen power input into a hydrogen fuel cell in a hydrogen conversion system as optimization variables, solving established objective functions and constraint conditions, obtaining optimized optimization variables, and operating a comprehensive energy conversion system based on the optimized optimization variables.
The steps involved in the devices of the second, third and fourth embodiments correspond to those of the first embodiment of the method, and the detailed description of the embodiments can be found in the related description section of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media including one or more sets of instructions; it should also be understood to include any medium capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any one of the methods of the present invention.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented by general-purpose computer means, alternatively they may be implemented by program code executable by computing means, whereby they may be stored in storage means for execution by computing means, or they may be made into individual integrated circuit modules separately, or a plurality of modules or steps in them may be made into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (10)
1. The method for optimizing the operation of the comprehensive energy conversion based on the hydrogen conversion is characterized by comprising the following steps:
the method comprises the steps of respectively modeling aiming at three subsystems aiming at a comprehensive energy conversion system comprising a hydrogen production system, a hydrogen storage system and a hydrogen conversion system;
based on the established model, establishing an objective function and constraint conditions considering the operation cost and the efficiency penalty coefficient;
the method comprises the steps of selecting electric energy power transmitted to a hydrogen production system by renewable energy power generation and hydrogen charging and discharging power of a hydrogen storage system, taking hydrogen power input into a methane reactor and hydrogen power input into a hydrogen fuel cell in a hydrogen conversion system as optimization variables, solving established objective functions and constraint conditions, obtaining optimized optimization variables, and operating a comprehensive energy conversion system based on the optimized optimization variables.
2. The method for optimized operation of hydrogen conversion-based integrated energy conversion as defined in claim 1, wherein modeling for the hydrogen production system comprises: defining power generated by the solar photovoltaic panel for the solar photovoltaic panel;
for the electrolyzer, an expression of the electro-hydrogen conversion efficiency of the hydrogen plant is obtained.
3. The method for optimized operation of integrated energy conversion based on hydrogen conversion according to claim 1, wherein said hydrogen storage system: when the hydrogen generated by the hydrogen production system is larger than that required by the hydrogen conversion system, the hydrogen storage system can be filled with hydrogen;
when the hydrogen produced by the hydrogen production system is smaller than the hydrogen conversion system, the hydrogen storage system supplies the hydrogen to the hydrogen conversion system.
4. The method for optimized operation of integrated energy conversion based on hydrogen conversion according to claim 1, wherein said hydrogen conversion system comprises a hydrogen-to-methane system and a hydrogen-to-electricity system;
the hydrogen-to-methane system needs to meet relevant power and start-stop constraints;
and acquiring an energy conversion model of the hydrogen-based electric heating system based on the hydrogen fuel cell.
5. The method for optimized operation of integrated energy conversion based on hydrogen conversion according to claim 1, wherein said objective function is composed of an operation cost and an efficiency penalty coefficient;
in the method, in the process of the invention,cost of life cycle, μ, for conversion of photovoltaic devices HES 、μ MR 、μ HFC The operation cost coefficients of the hydrogen storage device, the hydrogen-to-methane system and the hydrogen-to-electric heating system are respectively, and ζ is the efficiency penalty coefficient of the hydrogen production device, η and η max Is the efficiency and maximum efficiency of the hydrogen production system.
Preferably, the constraint condition includes:
hydrogen transfer equilibrium constraints, hydrogen production systems, hydrogen storage systems, and hydrogen conversion systems need to maintain hydrogen transfer equilibrium;
the limitation of hydrogen supply of photovoltaic power generation is that the electric energy supplied to the hydrogen production system by the photovoltaic power generation is required to be within the limit of the photovoltaic power generation;
hydrogen storage system constraints;
hydrogen conversion system constraints;
thermal load constraints;
and (5) gas load constraint.
6. The method for optimizing the operation of integrated energy conversion based on hydrogen conversion according to claim 1, wherein a balance optimization algorithm is used when solving the objective function and the constraint condition.
7. An optimized operation system for integrated renewable energy comprehensive energy conversion, characterized by comprising:
a system modeling module configured to: the method comprises the steps of respectively modeling aiming at three subsystems aiming at a comprehensive energy conversion system comprising a hydrogen production system, a hydrogen storage system and a hydrogen conversion system;
an objective function and constraint establishment module configured to: based on the established model, establishing an objective function and constraint conditions considering the operation cost and the efficiency penalty coefficient;
a solution module configured to: the method comprises the steps of selecting electric energy power transmitted to a hydrogen production system by renewable energy power generation and hydrogen charging and discharging power of a hydrogen storage system, taking hydrogen power input into a methane reactor and hydrogen power input into a hydrogen fuel cell in a hydrogen conversion system as optimization variables, solving established objective functions and constraint conditions, obtaining optimized optimization variables, and operating a comprehensive energy conversion system based on the optimized optimization variables.
8. The integrated renewable energy integrated, energy conversion, optimized operating system of claim 7, when modeled for a hydrogen production system, comprising: defining power generated by the solar photovoltaic panel for the solar photovoltaic panel;
obtaining an expression of the electro-hydrogen conversion efficiency of the hydrogen production device for the electrolytic cell;
preferably, the hydrogen storage system: when the hydrogen generated by the hydrogen production system is larger than that required by the hydrogen conversion system, the hydrogen storage system can be filled with hydrogen;
when the hydrogen generated by the hydrogen production system is smaller than the hydrogen required by the hydrogen conversion system, the hydrogen storage system supplies gas to the hydrogen conversion system;
preferably, the hydrogen conversion system comprises a hydrogen-to-methane system and a hydrogen-to-electricity heating system;
the hydrogen-to-methane system needs to meet relevant power and start-stop constraints;
and acquiring an energy conversion model of the hydrogen-based electric heating system based on the hydrogen fuel cell.
Preferably, the objective function is composed of running cost and efficiency penalty coefficients;
in the method, in the process of the invention,cost of life cycle, μ, for conversion of photovoltaic devices HES 、μ MR 、μ HFC The operation cost coefficients of the hydrogen storage device, the hydrogen-to-methane system and the hydrogen-to-electric heating system are respectively, and ζ is the efficiency penalty coefficient of the hydrogen production device, η and η max Is the efficiency and maximum efficiency of the hydrogen production system;
preferably, the constraint condition includes:
hydrogen transfer equilibrium constraints, hydrogen production systems, hydrogen storage systems, and hydrogen conversion systems need to maintain hydrogen transfer equilibrium;
the limitation of hydrogen supply of photovoltaic power generation is that the electric energy supplied to the hydrogen production system by the photovoltaic power generation is required to be within the limit of the photovoltaic power generation;
hydrogen storage system constraints;
hydrogen conversion system constraints;
thermal load constraints;
and (5) gas load constraint.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of the preceding claims 1-6 when the program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, performs the steps of the method of any of the preceding claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311525138.9A CN117575515A (en) | 2023-11-15 | 2023-11-15 | Optimized operation method and system for comprehensive energy conversion based on hydrogen conversion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311525138.9A CN117575515A (en) | 2023-11-15 | 2023-11-15 | Optimized operation method and system for comprehensive energy conversion based on hydrogen conversion |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117575515A true CN117575515A (en) | 2024-02-20 |
Family
ID=89894768
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311525138.9A Pending CN117575515A (en) | 2023-11-15 | 2023-11-15 | Optimized operation method and system for comprehensive energy conversion based on hydrogen conversion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117575515A (en) |
-
2023
- 2023-11-15 CN CN202311525138.9A patent/CN117575515A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Teng et al. | Multi-energy storage system model based on electricity heat and hydrogen coordinated optimization for power grid flexibility | |
| Hong et al. | Optimization scheduling control strategy of wind-hydrogen system considering hydrogen production efficiency | |
| CN113850474B (en) | Thermoelectric hydrogen multi-energy flow comprehensive energy system and optimal scheduling method thereof | |
| CN111293682B (en) | Multi-microgrid energy management method based on cooperative model predictive control | |
| Huangfu et al. | An optimal energy management strategy with subsection bi-objective optimization dynamic programming for photovoltaic/battery/hydrogen hybrid energy system | |
| CN112803567A (en) | Parameter optimization design method and system based on intelligent building optical storage power supply equipment | |
| CN116805803A (en) | Energy scheduling method of wind-solar energy storage off-grid hydrogen production system based on self-adaptive MPC | |
| Liu | Optimal scheduling strategy of electricity‐heat‐hydrogen integrated energy system under different operating modes | |
| CN114759599A (en) | Photo-hydrogen fuel cell cogeneration system, capacity allocation method, and medium | |
| CN118034874A (en) | Method, device, equipment and storage medium for optimizing operation of CCHP system | |
| CN117649089A (en) | Robust low-carbon optimal scheduling method for integrated energy system integrating hydrogen energy | |
| CN114336703B (en) | Automatic cooperative control method for large-scale wind-solar energy storage station | |
| CN116402214A (en) | Low-carbon optimized operation method of hydrogen-containing comprehensive energy system considering generalized comprehensive demand response | |
| CN117575515A (en) | Optimized operation method and system for comprehensive energy conversion based on hydrogen conversion | |
| CN115375343A (en) | Power distribution network cooperative interaction method considering distributed power consumption benefits | |
| Wang et al. | Capacity Optimization of Island Integrated Energy System Considering Hydrogen Energy Access | |
| CN113629881B (en) | Hydrogen energy storage system with heat balance maintaining capability and optimization method | |
| Bao et al. | Modeling, Optimization and Evaluation of Production-storage-utilization Hydrogen System Based on Renewable Energy | |
| CN118297367B (en) | Energy management method, medium and equipment of hydrogen-electricity hybrid energy storage system | |
| CN115238505B (en) | Thermoelectric hydrogen combined supply type system optimal configuration method and system based on wind-solar field station | |
| Liu et al. | Low-carbon economic dispatch of integrated electricity-heat-hydrogen systems considering integrated demand response | |
| CN117391764A (en) | Comprehensive energy system optimal scheduling method and system | |
| Zhang et al. | Multi‐energy complementary optimal scheduling based on hydrogen gas turbine considering the flexibility of electrolyser | |
| Loong et al. | Development of a system configuration for a solar powered hydrogen facility using fuzzy logic control | |
| Zhao et al. | Optimization model of a ring-grid distribution system based on a solid-state hydrogen storage station |
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 |