CN114583725A - Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof - Google Patents

Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof Download PDF

Info

Publication number
CN114583725A
CN114583725A CN202210181359.8A CN202210181359A CN114583725A CN 114583725 A CN114583725 A CN 114583725A CN 202210181359 A CN202210181359 A CN 202210181359A CN 114583725 A CN114583725 A CN 114583725A
Authority
CN
China
Prior art keywords
hydrogen
heat
power
energy
storage device
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
Application number
CN202210181359.8A
Other languages
Chinese (zh)
Inventor
孙波
张月
张承慧
李浩然
陈晶
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong University
Original Assignee
Shandong University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shandong University filed Critical Shandong University
Priority to CN202210181359.8A priority Critical patent/CN114583725A/en
Publication of CN114583725A publication Critical patent/CN114583725A/en
Pending legal-status Critical Current

Links

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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04007—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids related to heat exchange
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04007—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids related to heat exchange
    • H01M8/04052—Storage of heat in the fuel cell system
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Fuel Cell (AREA)

Abstract

The invention discloses a hydrogen-based near-zero carbon emission comprehensive energy system and an operation optimization method thereof.A photovoltaic and wind generating set is responsible for supplying electric load; when the electric power is excessive, the excessive electric load inputs direct current to the electrolytic cell to electrolyze water to prepare hydrogen, and the hydrogen is stored in the hydrogen storage tank; when the electric power is insufficient, the hydrogen storage tank provides hydrogen for the fuel cell, and the fuel cell generates electric power to meet the electric load requirement; the heat storage device provides heat for the electrolytic cell; the hydrogen prepared by the electrolytic cell releases heat in the compression process, and the heat storage device recovers and stores the heat released by the compressed hydrogen; the heat storage device recovers and stores the heat released by the generated electric power; the absorption refrigerator absorbs heat energy from the heat storage device to perform refrigeration operation; the heat pump obtains electric quantity from the photovoltaic generator set and the wind generating set to generate heat energy or cold energy. The method has the advantages of zero-carbon economy, promotion of renewable energy consumption, source load peak clipping and valley filling and cross-season energy storage scheduling.

Description

Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof
Technical Field
The invention relates to the technical field of comprehensive energy, in particular to a hydrogen-based near-zero carbon emission comprehensive energy system and an operation optimization method thereof.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
At present, the main energy supply raw material of the comprehensive energy system is primary energy fossil fuel, a large amount of carbon dioxide gas is discharged in the process of combined heat and power supply, and although a series of measures such as carbon capture, carbon transaction and the like reduce the carbon dioxide discharge to a certain extent, the problem cannot be fundamentally solved. In addition, the consumption rate of renewable clean energy is an important problem restricting the development of an energy system, and the phenomena of wind and light abandonment cause energy waste and correspondingly increase the power generation cost, thereby seriously affecting the indexes such as energy utilization rate, economy and the like.
As energy consumption has increased, finding new energy sources has become an important task at present. As an energy source with the most development potential, hydrogen has wide sources, hardly generates pollution, has high conversion efficiency and wide application. The hydrogen energy is used as an important transition energy source in the transformation energy source, and the long-term balance of the power generation side and the load side of the comprehensive energy system can be realized through the energy coupling of the hydrogen and the electricity and the 'preparation-storage-use' of the hydrogen. Therefore, the method for reasonably optimizing the operation of the hydrogen-containing comprehensive energy system has important research significance.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a hydrogen-based near-zero carbon emission comprehensive energy system and an operation optimization method thereof; the method has the advantages of zero-carbon economy, promotion of renewable energy consumption, source load peak clipping and valley filling and cross-season energy storage scheduling. The system belongs to a near-zero carbon emission comprehensive energy system.
In a first aspect, the present invention provides a hydrogen-based near-zero carbon emission integrated energy system;
a hydrogen-based near zero carbon emission integrated energy system, comprising: the system comprises a photovoltaic generator set, a wind generating set, an electrolytic bath, a hydrogen storage tank, a fuel cell, a heat pump, an absorption refrigerator and a heat storage device;
the photovoltaic generator set and the wind generating set are responsible for supplying electric load; when the electric power is excessive, the excessive electric load inputs direct current to the electrolytic cell to electrolyze water to prepare hydrogen, and the hydrogen is stored in the hydrogen storage tank; when the electric power is insufficient, the hydrogen storage tank provides hydrogen for the fuel cell, and the fuel cell generates electric power to meet the electric load requirement;
the heat storage device provides heat for the electrolytic cell; the hydrogen prepared by the electrolytic cell releases heat in the compression process, and the heat storage device recovers and stores the heat released by the compressed hydrogen; the heat storage device recovers and stores the heat released by the generated electricity;
the absorption refrigerator absorbs heat energy from the heat storage device to perform refrigeration operation;
the heat pump obtains electric quantity from the photovoltaic generator set and the wind generating set to generate heat energy or cold energy.
In a second aspect, the invention provides a method for optimizing the operation of a hydrogen-based near-zero carbon emission integrated energy system;
the operation optimization method of the hydrogen-based near-zero carbon emission comprehensive energy system comprises the following steps:
acquiring weather data, load data, equipment parameters and energy cost data;
acquiring the energy flow requirement of each hour;
constructing a mathematical model of a hydrogen-based near-zero carbon emission comprehensive energy system; the mathematical model of the hydrogen-based near-zero carbon emission integrated energy system comprises the following steps: an electrolytic cell mathematical model, a fuel cell mathematical model, an absorption refrigerator mathematical model and a heat pump mathematical model;
constructing an objective function and a constraint condition; and solving the objective function to obtain the input value and the output value of each device.
Compared with the prior art, the invention has the beneficial effects that:
the system realizes the design of 'near zero carbon', and increases the renewable energy consumption rate of the system at the same time; the heat management of the system is increased, the cyclic utilization of energy is realized, and the seasonal hydrogen storage is adopted, so that the higher utilization rate of the annual energy of the system is realized.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a system configuration diagram according to a first embodiment;
FIG. 2 is a flowchart of a method according to a second embodiment.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. 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 invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
All data are obtained according to the embodiment and are legally applied on the data on the basis of compliance with laws and regulations and user consent.
Example one
The embodiment provides a hydrogen-based near-zero carbon emission integrated energy system;
as shown in fig. 1, a hydrogen-based near-zero carbon emission integrated energy system includes: the system comprises a photovoltaic generator set, a wind generating set, an electrolytic bath, a hydrogen storage tank, a fuel cell, a heat pump, an absorption refrigerator and a heat storage device;
the photovoltaic generator set and the wind generating set are responsible for supplying electric load; when the electric power is excessive, the excessive electric load inputs direct current to the electrolytic cell to electrolyze water to prepare hydrogen, and the hydrogen is stored in the hydrogen storage tank; when the electric power is insufficient, the hydrogen storage tank provides hydrogen for the fuel cell, and the fuel cell generates electric power to meet the electric load requirement;
the heat storage device provides heat for the electrolytic cell; the hydrogen prepared by the electrolytic cell releases heat in the compression process, and the heat storage device recovers and stores the heat released by the compressed hydrogen; the heat storage device recovers and stores the heat released by the generated electricity;
the absorption refrigerator absorbs heat energy from the heat storage device to perform refrigeration operation;
the heat pump obtains electric quantity from the photovoltaic generator set and the wind generating set to generate heat energy or cold energy.
It will be appreciated that the efficiency of hydrogen production is increased while reducing power consumption by providing energy to the electrolysis cell via the heat storage device.
Example two
The embodiment provides an operation optimization method of a near-zero carbon emission comprehensive energy system based on hydrogen;
as shown in fig. 2, the method for optimizing the operation of the hydrogen-based near-zero carbon emission integrated energy system includes:
s201: acquiring weather data, load data, equipment parameters and energy cost data;
s202: acquiring the energy flow requirement of each hour;
s203: constructing a mathematical model of a hydrogen-based near-zero carbon emission comprehensive energy system; the mathematical model of the hydrogen-based near-zero carbon emission integrated energy system comprises the following steps: an electrolytic cell mathematical model, a fuel cell mathematical model, an absorption refrigerator mathematical model and a heat pump mathematical model;
s204: constructing an objective function and a constraint condition; and solving the objective function to obtain the input value and the output value of each device.
The method further comprises the following steps: s205: and judging whether the optimized scheduling time t is equal to a set value or not, if so, ending, otherwise, performing addition processing on t, updating the energy storage equipment, and returning to the S202.
t is 8760 hours.
Wherein 8760 hours is 365 days by 24 hours.
The energy storage device includes: a hydrogen storage tank and a heat storage device.
Further, the weather parameters include: weather predicted solar irradiance, wind speed, wind direction, etc.
Further, the load data includes: predicted demand data of the user;
the predicted demand data of the user comprises: electrical load data, cold load data, thermal load data, and hydrogen load data.
Further, the device parameters include: refrigerator COP, heat pump COP, capacity of the respective device, fuel cell efficiency, electrolyzer temperature and pressure, etc.
Further, the energy cost data includes: the price of hydrogen.
Further, the step S202: acquiring the energy flow requirement of each hour; the energy flow requirement refers to the load requirements of cold, heat, electricity and hydrogen.
Further, the mathematical model of the S203 electrolyzer specifically includes:
the hydrogen production rate of the cell is related to the current:
Figure BDA0003521177700000051
wherein the content of the first and second substances,
Figure BDA0003521177700000052
hydrogen production rate of the electrolytic cell; i iscellIs the current of the electrolytic cell; p is the pressure of the electrolytic cell.
The temperature of the cell is related to the heat energy flow and the cell input power:
Telz＝Telz(Qelz,Pelz)；
wherein, TelzDenotes the operating temperature of the cell, QelzRepresenting the heat delivered by the heat storage device to the electrolytic cell; pelzThe input power of the electrolyzer is indicated.
The efficiency of the electrolytic cell:
Figure BDA0003521177700000061
in the formula etaEThe efficiency of the cell; HHV of H2Represents a high heating value of hydrogen; cEEnergy consumption for the electrolytic cell;
the reaction is carried out in an electrolytic cell, and the reaction needs the combined action of electric energy and heat energy:
H2O→H2(g)+1/2O2(g)
further, the mathematical model of the fuel cell of S203 specifically includes:
heat generation amount Qfc：
Qfc＝ηhePfc
Wherein Q isfcIs the heat generating power of the fuel cell; etaheIs the fuel cell heat-to-power ratio;
further, the mathematical model of the absorption chiller of S203 specifically includes:
refrigerating capacity Qc,ac：
Qc,ac＝COPacQh,ac
Wherein the COPacIs the efficiency of the absorption chiller; qh,acHeat is fed to the absorption refrigerator.
Further, the S203 heat pump mathematical model specifically includes:
heating capacity Qh,hp：
Qh,hp＝COPh,hpPhp；
Refrigerating capacity Qc,hp：
Qc,hp＝COPc,hpPhp；
Wherein the COPc,hpFor heat pump cooling efficiency, COPh,hpHeating efficiency of the heat pump; phpThe heat pump is used for inputting electric energy.
Further, the step S203: constructing a mathematical model of a hydrogen-based near-zero carbon emission comprehensive energy system; further comprising:
constructing a balance equation; the balance equation comprises: an electric energy balance equation, a heat energy balance equation, a cold energy balance equation and a hydrogen energy balance equation.
Further, the electric energy balance equation refers to:
Ppv+Pwt-Pelz-Php+Pfc＝PL
wherein, PpvIs photovoltaic power generation; pwtIs the wind power generation capacity; pelzThe power consumption of the electrolytic cell is reduced; phpThe electric energy input is heat pump; pfcGenerating power for the fuel cell; pLIs an electrical load.
Further, the heat energy balance equation refers to:
Figure BDA0003521177700000071
wherein Q isfcFor heating of fuel cells, Qh,hpHeating the heat pump; qh,HsReleasing heat for compressing hydrogen; qelzThe heat storage device supplies heat to the electrolytic cell; qh,acHeat is supplied to the absorption refrigerator;
Figure BDA0003521177700000072
to the efficiency of heat charging;
Figure BDA0003521177700000073
for charging heat power；
Figure BDA0003521177700000074
The heat release efficiency is obtained;
Figure BDA0003521177700000075
the heat release power is adopted; qhIs the heat load.
Further, the cold energy balance equation refers to:
Qc,hp+Qc,ac＝Qc
Qc,hpthe refrigerating capacity of the heat pump; qc,acThe heat is produced by an absorption refrigerator; qcIs the cooling load.
Further, the hydrogen energy balance equation refers to:
Figure BDA0003521177700000076
wherein eta islossIn proportion to the energy consumption and heat loss during compression of hydrogen; pelzInputting power to the electrolytic cell;
Figure BDA0003521177700000077
the charging power of the hydrogen storage tank is set;
Figure BDA0003521177700000078
in order to improve the charging efficiency of the hydrogen storage tank,
Figure BDA0003521177700000079
storing hydrogen charging power for seasons;
Figure BDA00035211777000000710
seasonal hydrogen storage and charging efficiency;
Figure BDA00035211777000000711
the hydrogen releasing power of the hydrogen storage tank is obtained;
Figure BDA00035211777000000712
for storing hydrogenThe efficiency of the hydrogen release of the tank,
Figure BDA0003521177700000081
storing hydrogen release power for seasons;
Figure BDA0003521177700000082
hydrogen release efficiency for seasonal hydrogen storage; hlIs the hydrogen load.
Further, the step S204: constructing an objective function and a constraint condition;
the objective function is a scheduling model taking the minimum running cost as an optimization target:
Figure BDA0003521177700000083
the operating cost comprises: equipment operation cost, hydrogen selling cost, light abandoning and wind abandoning punishment cost.
Wherein the constraint condition comprises: hydrogen storage constraints, heat storage constraints and equipment output constraints.
Wherein, the hydrogen storage constraint condition refers to:
the seasonal hydrogen storage realizes the charging and the releasing of hydrogen among different typical days, and the hydrogen storage realizes the charging and the releasing of hydrogen within days, wherein the operation constraint of the seasonal hydrogen storage is as follows:
Figure BDA0003521177700000084
the maximum amount per charge and discharge of hydrogen and the maximum hydrogen storage capacity are limited by equation (2). Wherein shs is an abbreviation of Seasonal Hydrogen Storage;
Figure BDA0003521177700000085
charging/discharging power of shs at t under s scene;
Figure BDA0003521177700000086
a value of 1 indicates that shs is in a charge/discharge state at t in s sceneState; v. ofshsPower to capacity ratio of shs; capshsThe maximum installed capacity of shs.
Figure BDA0003521177700000087
Equation (3) is a typical day in different seasons, where there is only one state in shs, either charged or released.
Figure BDA0003521177700000088
Figure BDA0003521177700000089
Figure BDA0003521177700000091
Figure BDA0003521177700000092
Equations (4) to (6), C being the remaining capacity of the hydrogen storage tank, the initial value of C being half of the installed capacity on the first typical day, and the other typical days being the accumulation of charge and discharge power in the last season after the self-discharge energy loss is subtracted.
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003521177700000093
remaining capacity on the first typical day;
Figure BDA0003521177700000094
is the remaining capacity at t in s scene;
Figure BDA0003521177700000095
self-release efficiency for shs;
Figure BDA0003521177700000096
charging efficiency for shs;
Figure BDA0003521177700000097
the shs release efficiency; ω(s) is the scene probability of s. Equation (6) specifies that the probability sum of s scenes is 1.
Wherein, the heat storage constraint condition means:
Figure BDA0003521177700000098
Figure BDA0003521177700000099
Figure BDA00035211777000000910
Figure BDA00035211777000000911
Figure BDA00035211777000000912
the charging power of the heat storage device at t in the scene of s;
Figure BDA00035211777000000913
the heat release power of the heat storage device at t under the s scene;
Figure BDA00035211777000000914
the maximum charging power of the heat storage device;
Figure BDA00035211777000000915
the maximum heat release power of the heat storage device;
Figure BDA00035211777000000916
1 represents that the heat storage device is in a heat charging state at t under the s scene;
Figure BDA00035211777000000917
1 represents that the heat storage device is in a heat release state at t in the s scene;
equation (8) limits the maximum power per charge and discharge and charge and discharge cannot occur simultaneously;
in the formulas (9) to (11), E is the remaining capacity of the heat storage device;
formula (9) is the upper and lower limits of the capacity of the heat storage device;
Figure BDA0003521177700000101
is the self-discharge efficiency of the heat storage device;
Figure BDA0003521177700000102
the heat charging efficiency of the heat storage device is obtained;
Figure BDA0003521177700000103
the heat release efficiency of the heat storage device;
equation (10) represents the remaining capacity of the heat storage device at time t.
Wherein, the constraint condition of equipment output refers to:
Figure BDA0003521177700000104
equation (12) represents the power rating constraints for each device in operation, and θ represents each device including: heat pump, electrolyzer, fuel cell, absorption refrigerator, photovoltaic and wind power.
Figure BDA0003521177700000105
Represents the minimum operating power of the device;
Figure BDA0003521177700000106
representing the operating power of each device;
Figure BDA0003521177700000107
indicating maximum operating power of each device
Figure BDA0003521177700000108
Equation (13) represents the hill climbing constraint of each device in operation, and R is the hill climbing efficiency.
Figure BDA0003521177700000109
Figure BDA00035211777000001010
A value of 1 indicates that the electrolyzer/fuel cell is operating at t in the s scenario, and equation (14) indicates that the electrolyzer and fuel cell cannot be operated simultaneously.
Further, solving the objective function to obtain an input value and an output value of each device; the adopted solving algorithm is as follows: and (4) an NGSA-II optimization algorithm.
Further, solving the objective function to obtain an input value and an output value of each device; each device herein specifically includes: heat pump, electrolytic cell, fuel cell, absorption refrigerator, photovoltaic, wind power, hydrogen storage device, and heat storage device.
The invention provides energy for the electrolysis reaction by recycling the heat in the system, and reduces the power consumption of the electrolytic cell; the total energy consumption of refrigeration is reduced by coordinating the heat consumption of the absorption refrigerator and the power consumption of the heat pump; the annual optimal scheduling is realized by balancing the long-term mismatching of the power generation side and the load side through the seasonal hydrogen storage. As shown in fig. 2, in the optimization, the amount of hydrogen stored in the hydrogen tank, the amount of energy stored in the heat storage device, and the amount of refrigeration/heating of the heat pump are selected as optimization variables, the minimum operation cost is taken as an objective function, the heat currently supplied to the electrolytic cell is constrained according to the state of heat storage and the state of load, the amount of energy stored in the heat storage device, the amount of hydrogen stored in the hydrogen tank, and the amount of refrigeration/heating of the heat pump are solved, and the operation of each device in the system is controlled.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. Nearly zero carbon emission comprehensive energy system based on hydrogen, characterized by includes: the system comprises a photovoltaic generator set, a wind generating set, an electrolytic bath, a hydrogen storage tank, a fuel cell, a heat pump, an absorption refrigerator and a heat storage device;
the photovoltaic generator set and the wind generating set are responsible for supplying electric load; when the electric power is excessive, the excessive electric load inputs direct current to the electrolytic cell to electrolyze water to prepare hydrogen, and the hydrogen is stored in the hydrogen storage tank; when the electric power is insufficient, the hydrogen storage tank provides hydrogen for the fuel cell, and the fuel cell generates electric power to meet the electric load requirement;
the heat storage device provides heat for the electrolytic cell; the hydrogen prepared by the electrolytic cell releases heat in the compression process, and the heat storage device recovers and stores the heat released by the compressed hydrogen; the heat storage device recovers and stores the heat released by the generated electricity;
the absorption refrigerator absorbs heat energy from the heat storage device to perform refrigeration operation;
the heat pump obtains electric quantity from the photovoltaic generator set and the wind generating set to generate heat energy or cold energy.
2. The operation optimization method of the comprehensive energy system with the nearly zero carbon emission based on the hydrogen is characterized by comprising the following steps of:
acquiring weather data, load data, equipment parameters and energy cost data;
acquiring the energy flow requirement of each hour;
constructing a mathematical model of a hydrogen-based near-zero carbon emission comprehensive energy system; the mathematical model of the hydrogen-based near-zero carbon emission integrated energy system comprises the following components: an electrolytic cell mathematical model, a fuel cell mathematical model, an absorption refrigerator mathematical model and a heat pump mathematical model;
constructing an objective function and a constraint condition; and solving the objective function to obtain the input value and the output value of each device.
3. The method for optimizing the operation of a hydrogen-based near-zero carbon emission integrated energy system as claimed in claim 2, wherein the mathematical model of the electrolyzer specifically refers to:
the hydrogen production rate of the cell is related to the current:
Figure FDA0003521177690000021
wherein the content of the first and second substances,
Figure FDA0003521177690000022
hydrogen production rate of the electrolytic cell; i iscellIs the current of the electrolytic cell; p is the pressure of the electrolytic cell;
the temperature of the cell is related to the heat energy flow and the cell input power:
Telz＝Telz(Qelz,Pelz)；
wherein, TelzDenotes the operating temperature of the cell, QelzRepresenting the heat delivered by the heat storage device to the electrolytic cell; pelzRepresents the input power of the electrolyzer;
efficiency of the electrolytic cell:
Figure FDA0003521177690000023
in the formula etaEThe efficiency of the cell; HHV of H2Represents a high heating value of hydrogen; cEEnergy consumption for the electrolytic cell;
the reaction is carried out in an electrolytic cell, and the reaction needs the combined action of electric energy and heat energy:
H2O→H2(g)+1/2O2(g)。
4. the method of claim 2, wherein the mathematical model of the fuel cell is selected from the group consisting of:
heat generation amount Qfc：
Qfc＝ηhePfc
Wherein Q isfcIs the heat generating power of the fuel cell; etaheIs the fuel cell heat-to-power ratio;
the mathematical model of the absorption refrigerator specifically refers to:
refrigerating capacity Qc,ac：
Qc,ac＝COPacQh,ac
Wherein the COPacIs the efficiency of the absorption chiller; qh,acHeat is fed into the absorption refrigerator;
the heat pump mathematical model specifically means:
heating capacity Qh,hp：
Qh,hp＝COPh,hpPhp；
Refrigerating capacity Qc,hp：
Qc,hp＝COPc,hpPhp；
Wherein the COPc,hpFor heat pump cooling efficiency, COPh,hpHeating efficiency of the heat pump; phpIs the heat pump electric energy input.
5. The method of claim 2, wherein a mathematical model of the integrated energy system with near-zero carbon emission based on hydrogen is constructed; further comprising:
constructing a balance equation; the balance equation comprises: an electric energy balance equation, a heat energy balance equation, a cold energy balance equation and a hydrogen energy balance equation;
the electric energy balance equation is as follows:
Ppv+Pwt-Pelz-Php+Pfc＝PL
wherein, PpvIs photovoltaic power generation; pwtThe wind power generation capacity is obtained; p iselzThe power consumption of the electrolytic cell; phpThe electric energy input is heat pump; pfcGenerating power for the fuel cell; p isLIs an electrical load;
the heat energy balance equation is as follows:
Figure FDA0003521177690000031
wherein Q isfcFor heating of fuel cells, Qh,hpHeating the heat pump; qh,HsReleasing heat for the compressed hydrogen; qelzThe heat storage device supplies heat to the electrolytic cell; qh,acHeat is fed into the absorption refrigerator;
Figure FDA0003521177690000032
to the efficiency of heat charging;
Figure FDA0003521177690000033
is the heat charging power;
Figure FDA0003521177690000034
the heat release efficiency is obtained;
Figure FDA0003521177690000035
is the heat release power; qhIs a thermal load;
the cold energy balance equation is as follows:
Qc,hp+Qc,ac＝Qc
Qc,hpthe refrigerating capacity of the heat pump; qc,acTo suckThe heat produced by the recovery refrigerator; qcIs a cold load;
the hydrogen energy balance equation refers to:
Figure FDA0003521177690000041
wherein eta islossIn proportion to the energy consumption and heat loss during compression of hydrogen; pelzInputting power to the electrolytic cell;
Figure FDA0003521177690000042
the charging power of the hydrogen storage tank is set;
Figure FDA0003521177690000043
in order to improve the charging efficiency of the hydrogen storage tank,
Figure FDA0003521177690000044
storing hydrogen charging power for seasons;
Figure FDA0003521177690000045
seasonal hydrogen storage and charging efficiency;
Figure FDA0003521177690000046
the hydrogen releasing power of the hydrogen storage tank is obtained;
Figure FDA0003521177690000047
in order to improve the hydrogen release efficiency of the hydrogen storage tank,
Figure FDA0003521177690000048
storing hydrogen release power for seasons;
Figure FDA0003521177690000049
hydrogen release efficiency for seasonal hydrogen storage; hlIs the hydrogen load.
6. The method of claim 2, wherein an objective function and constraints are constructed;
the objective function is a scheduling model taking the minimum running cost as an optimization target:
Figure FDA00035211776900000410
the operating cost includes: equipment operation cost, hydrogen selling cost, light abandoning and wind abandoning punishment cost.
7. The method of optimizing the operation of a hydrogen-based near-zero carbon emission integrated energy system according to claim 2, wherein the constraints include: hydrogen storage constraint conditions, heat storage constraint conditions and equipment output constraint conditions;
wherein, the hydrogen storage constraint condition refers to:
the seasonal hydrogen storage realizes the charging and releasing of hydrogen gas between different typical days, and the hydrogen storage realizes the charging and releasing of hydrogen gas within days, wherein the operation constraints of the seasonal hydrogen storage are as follows:
Figure FDA00035211776900000411
formula (2) limits the maximum amount of hydrogen per charge and discharge and the maximum hydrogen storage capacity; wherein shs is an abbreviation of Seasonal Hydrogen Storage;
Figure FDA00035211776900000412
charging/discharging power of shs at t under s scene;
Figure FDA00035211776900000413
a value of 1 indicates that shs is in a charge/release state at t in the s scene; v. ofshsPower to capacity ratio of shs; capshsThe maximum installed capacity for shs;
Figure FDA0003521177690000051
the formula (3) is a typical day in different seasons, and only one state in shs is charged or released;
Figure FDA0003521177690000052
Figure FDA0003521177690000053
Figure FDA0003521177690000054
Figure FDA0003521177690000055
formulas (4) to (6), wherein C is the residual capacity of the hydrogen storage tank, the initial value of C is half of the installed capacity on the first typical day, and the other typical days are the accumulation of the charge and discharge power in the last season after the self-discharge energy loss is subtracted;
wherein the content of the first and second substances,
Figure FDA0003521177690000056
remaining capacity on the first typical day;
Figure FDA0003521177690000057
is the remaining capacity at t in s scene;
Figure FDA0003521177690000058
self-release efficiency for shs;
Figure FDA0003521177690000059
for charging shsRate;
Figure FDA00035211776900000510
the shs release efficiency; a scene probability with ω(s) being s; equation (6) specifies that the probability sum of s scenes is 1;
wherein, the heat storage constraint condition means:
Figure FDA00035211776900000511
Figure FDA00035211776900000512
Figure FDA00035211776900000513
Figure FDA00035211776900000514
Figure FDA00035211776900000515
the charging power of the heat storage device at t in the scene of s;
Figure FDA0003521177690000061
the heat release power of the heat storage device at t in the s scene;
Figure FDA0003521177690000062
the maximum charging power of the heat storage device;
Figure FDA0003521177690000063
for storing heatMaximum heat release power of the device;
Figure FDA0003521177690000064
1 represents that the heat storage device is in a heat charging state at t under the s scene;
Figure FDA0003521177690000065
1 represents that the heat storage device is in a heat release state at t in the s scene;
equation (8) limits the maximum power per charge and discharge and charge and discharge cannot occur simultaneously;
in the formulas (9) to (11), E is the residual capacity of the heat storage device;
formula (9) is the upper and lower limits of the capacity of the heat storage device;
Figure FDA0003521177690000066
is the self-discharge efficiency of the heat storage device;
Figure FDA0003521177690000067
the heat charging efficiency of the heat storage device is obtained;
Figure FDA0003521177690000068
the heat release efficiency of the heat storage device;
equation (10) represents the remaining capacity of the heat storage device at time t;
wherein, the constraint condition of equipment output refers to:
Figure FDA0003521177690000069
equation (12) represents the power rating constraints for each device in operation, and θ represents each device including: heat pump, electrolyzer, fuel cell, absorption refrigerator, photovoltaic and wind power;
Figure FDA00035211776900000610
represents the minimum operating power of the device;
Figure FDA00035211776900000611
representing the operating power of each device;
Figure FDA00035211776900000612
indicating maximum operating power of each device
Figure FDA00035211776900000613
Formula (13) represents the climbing constraint of each device in operation, and R is the climbing efficiency;
Figure FDA00035211776900000614
Figure FDA00035211776900000615
a value of 1 indicates that the electrolyzer/fuel cell is operating at t in the s scenario, and equation (14) indicates that the electrolyzer and fuel cell cannot be operated simultaneously.
8. The method for optimizing operation of a hydrogen-based near-zero carbon emission integrated energy system according to claim 2, wherein the objective function is solved to obtain input and output values of each device; the adopted solving algorithm is as follows: and (4) an NGSA-II optimization algorithm.
9. The method for optimizing operation of a hydrogen-based near-zero carbon emission integrated energy system according to claim 2, wherein the objective function is solved to obtain input and output values of each device; each device herein specifically includes: heat pump, electrolytic cell, fuel cell, absorption refrigerator, photovoltaic, wind power, hydrogen storage device, and heat storage device.
10. The method for optimizing the operation of a hydrogen-based near-zero carbon emission integrated energy system according to claim 2, further comprising: and judging whether the optimized scheduling time t is equal to a set value or not, if so, finishing, if not, adding one to the t, updating the energy storage equipment, and returning to the step of acquiring the energy flow requirement of each hour.
CN202210181359.8A 2022-02-25 2022-02-25 Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof Pending CN114583725A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210181359.8A CN114583725A (en) 2022-02-25 2022-02-25 Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210181359.8A CN114583725A (en) 2022-02-25 2022-02-25 Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof

Publications (1)

Publication Number Publication Date
CN114583725A true CN114583725A (en) 2022-06-03

Family

ID=81770544

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210181359.8A Pending CN114583725A (en) 2022-02-25 2022-02-25 Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof

Country Status (1)

Country Link
CN (1) CN114583725A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115011970A (en) * 2022-06-07 2022-09-06 哈尔滨工业大学 Container type integrated electricity-hydrogen co-production device with heat management and working method
CN116111733A (en) * 2023-04-13 2023-05-12 华北电力大学 Port hydrogen-electricity comprehensive energy system based on electrolytic tank and high-pressure hydrogen storage tank
CN116632945A (en) * 2023-07-21 2023-08-22 长江三峡集团实业发展(北京)有限公司 Multi-energy supply operation control method, system and device and electronic equipment
CN116702424A (en) * 2023-04-26 2023-09-05 淮阴工学院 Big data intelligence emission reduction system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115011970A (en) * 2022-06-07 2022-09-06 哈尔滨工业大学 Container type integrated electricity-hydrogen co-production device with heat management and working method
CN116111733A (en) * 2023-04-13 2023-05-12 华北电力大学 Port hydrogen-electricity comprehensive energy system based on electrolytic tank and high-pressure hydrogen storage tank
CN116702424A (en) * 2023-04-26 2023-09-05 淮阴工学院 Big data intelligence emission reduction system
CN116702424B (en) * 2023-04-26 2024-06-14 淮阴工学院 Big data intelligence emission reduction system
CN116632945A (en) * 2023-07-21 2023-08-22 长江三峡集团实业发展(北京)有限公司 Multi-energy supply operation control method, system and device and electronic equipment
CN116632945B (en) * 2023-07-21 2024-01-05 长江三峡集团实业发展(北京)有限公司 Multi-energy supply operation control method, system and device and electronic equipment

Similar Documents

Publication Publication Date Title
CN111242806B (en) Uncertainty-considered planning method for electric-thermal-hydrogen multi-energy system
CN109919478B (en) Comprehensive energy microgrid planning method considering comprehensive energy supply reliability
CN114583725A (en) Hydrogen-based near-zero carbon emission comprehensive energy system and operation optimization method thereof
CN110263435B (en) Double-layer optimized fault recovery method based on electric-gas coupling comprehensive energy system
CN112990523B (en) Hierarchical optimization operation method for regional comprehensive energy system
CN111738503B (en) Method and system for scheduling daily operation of comprehensive energy micro-grid by taking hydrogen energy as core
CN108206547B (en) Method for optimizing capacity of each unit of wind-hydrogen coupled power generation system
CN106779250B (en) Isolated distributed power grid configuration method based on novel optimization model
CN115001038A (en) Wind-solar-diesel storage capacity ratio optimization method based on stochastic programming
CN114595619A (en) Comprehensive energy system optimization method based on hydrogen energy storage
CN110957722B (en) Day-ahead optimal scheduling method for micro energy network with electricity-to-gas equipment
Mosetlhe et al. Optimal design of an off-grid solar and wind powered hybrid EV-HFCV charging station
CN115296321A (en) Off-grid photovoltaic hydrogen production coupling control system
CN116613725A (en) Photovoltaic power station direct-current hydrogen production optimal configuration method
CN108683188A (en) Consider that the multiple target wind-powered electricity generation of environmental value and peak regulation abundant intensity receives level optimization
CN114462889A (en) Hydrogen-electric coupling multi-energy cross-region optimal configuration method and system
CN113794227A (en) Comprehensive energy system for realizing carbon circulation
CN117649089A (en) Robust low-carbon optimal scheduling method for integrated energy system integrating hydrogen energy
CN116227830A (en) Virtual power plant optimization scheduling method containing CSP-P2G-CCUS
CN116526555A (en) Coupling system based on hydrogen storage and retired thermal power auxiliary renewable energy power generation grid connection
CN116256978A (en) Optimal control method and system for mixed electrolytic water hydrogen production system
CN113988392B (en) Micro-grid optimization planning method considering reliability demand response
CN115085227A (en) Micro-grid source storage capacity configuration method and device
Su et al. Operating characteristics analysis and capacity configuration optimization of wind-solar-hydrogen hybrid multi-energy complementary system
CN114676991B (en) Multi-energy complementary system optimal scheduling method based on source-load double-side uncertainty

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