CN114757126A - Hydrogen network reconstruction method based on random pinch point - Google Patents

Hydrogen network reconstruction method based on random pinch point Download PDF

Info

Publication number
CN114757126A
CN114757126A CN202210488034.4A CN202210488034A CN114757126A CN 114757126 A CN114757126 A CN 114757126A CN 202210488034 A CN202210488034 A CN 202210488034A CN 114757126 A CN114757126 A CN 114757126A
Authority
CN
China
Prior art keywords
hydrogen
pinch
flow
pinch point
network
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202210488034.4A
Other languages
Chinese (zh)
Other versions
CN114757126B (en
Inventor
袁铁江
张一瑾
王雷
张舵
张江飞
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.)
Dalian University of Technology
Hengshui Power Supply Co of State Grid Hebei Electric Power Co Ltd
Original Assignee
Dalian University of Technology
Hengshui Power Supply Co of State Grid Hebei Electric Power Co Ltd
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 Dalian University of Technology, Hengshui Power Supply Co of State Grid Hebei Electric Power Co Ltd filed Critical Dalian University of Technology
Priority to CN202210488034.4A priority Critical patent/CN114757126B/en
Publication of CN114757126A publication Critical patent/CN114757126A/en
Application granted granted Critical
Publication of CN114757126B publication Critical patent/CN114757126B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/28Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/04Constraint-based CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/08Probabilistic or stochastic CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/08Fluids
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Fluid Mechanics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Computing Systems (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Algebra (AREA)
  • Hydrogen, Water And Hydrids (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a hydrogen network reconstruction method based on random pinch points. Firstly, extracting the flow and the hydrogen purity of each hydrogen supply and hydrogen utilization equipment stream in a hydrogen energy system; taking the flow rate of the stream as an abscissa and the purity of the hydrogen as an ordinate, and arranging the purities of the hydrogen source and the hydrogen trap from large to small to make a flow-concentration composite curve chart; drawing a residual hydrogen map by taking the hydrogen purity as an ordinate and the residual hydrogen amount as an abscissa according to the flow-concentration composite curve; dividing a hydrogen energy system into different operating conditions according to the influence of randomness, wherein each operating condition is divided into time intervals according to the starting time and the stopping time of a stream as an operating cycle; different streams exist in each interval, and pinch point matching is carried out to obtain a plurality of pinch points; selecting a pinch point corresponding to the lowest hydrogen purity as a pinch point of the whole hydrogen network; and finally, optimizing the hydrogen network by using a superstructure optimization method with the optimal economy as a target.

Description

Hydrogen network reconstruction method based on random pinch point
Technical Field
The invention belongs to the technical field of process system integration, and particularly relates to a hydrogen network reconstruction method based on random pinch points.
Background
The installed capacity of the new energy is gradually improved, and an electrolytic cell in the large hydrogen energy generation system of the new energy is put into operation and a generator set is shut down, otherwise the electrolytic cell is possibly shut down, the generator set is put into operation and the hydrogen energy supply system is insufficient in electric energy and the like. In order to cope with the influence of randomness of high-proportion new energy, the situation that the hydrogen energy systems under different working conditions are in different operation modes is a normal state, and hydrogen traps and even hydrogen sources in an original hydrogen network are changed; even under the same working condition or operation mode, the random fluctuation of the new energy source can cause the hydrogen source and the hydrogen trap of the coupled hydrogen energy system and the parameters of the hydrogen source and the hydrogen trap to change.
Disclosure of Invention
The invention aims to consider the influence of high-proportion random new energy, divide a hydrogen energy system into different operating conditions on the basis of an original hydrogen pinch point determination method, divide time intervals according to the starting and stopping time of a stream, re-perform pinch point analysis on a hydrogen network after green hydrogen is introduced, and optimize the hydrogen network by using a superstructure optimization method and considering grade pressure division and aiming at optimal economy.
The invention discloses a hydrogen network reconstruction method based on random pinch points, which comprises the following steps:
(1) identifying hydrogen sources and hydrogen traps in a hydrogen network and extracting data;
(2) dividing a hydrogen energy system into different working conditions and then dividing time intervals;
(3) making a flow-concentration composite curve chart according to the flow and the concentration of the hydrogen source and the hydrogen trap;
(4) analyzing the part which can be optimized in the hydrogen network by using a flow-concentration composite curve chart, calculating the residual hydrogen amount and making a residual hydrogen map;
(5) different streams exist in each time interval, pinch point matching is carried out to obtain a plurality of pinch points, and the pinch point corresponding to the lowest hydrogen purity is selected as the pinch point of the whole hydrogen network;
(6) and optimizing the hydrogen network by using a superstructure optimization method and considering pressure grade layering with the aim of optimal economy.
Further, the step (2) comprises the following steps:
firstly, dividing a hydrogen energy system into different working conditions based on the randomness of new energy power generation and hydrogen production; and each working condition divides the time interval by taking the starting time and the stopping time of the flow as an operation period.
Further, in the step (3), the flow rate of the stream is taken as an abscissa, the hydrogen purity is taken as an ordinate, and the flow rate of each hydrogen source and each hydrogen trap is represented by a horizontal line segment.
Further, the performing pinch point matching in the step (5) comprises the following steps:
(1) according to the residual hydrogen map, when the residual hydrogen amount is 0, the intersection point of the line segment in the residual hydrogen map and the Y axis of the residual hydrogen map is the pinch point obtained under the working condition;
(2) superposing the residual hydrogen maps of each working condition to obtain a plurality of pinch points;
(3) and selecting the point with the lowest hydrogen purity corresponding to the pinch point obtained in the previous step as the pinch point of the whole hydrogen energy system.
Further, the step (6) comprises the following steps:
(1) dividing a device related to hydrogen into a hydrogen source and a hydrogen trap, layering pressure grades, dividing the pressure grades in each layer of pressure grade, and establishing all connections from the hydrogen source to the hydrogen trap;
(2) considering economic influence factors including hydrogen supply cost and compressor electricity cost, establishing an objective function by taking optimal economy as a target:
Figure BDA0003630667840000021
wherein C is the total cost; fj,kIs the flow from hydrogen source j to hydrogen trap k; cjHydrogen price for hydrogen source j; ceThe unit price is used for the compressor; pj,kEnergy consumption for the compressor; alpha is a unit conversion coefficient;
constraints include hydrogen trap/source constraints, PSA constraints, impurity constraints, and compressor constraints.
Has the advantages that:
the method comprises the steps of considering the influence of high-proportion random new energy, dividing a hydrogen energy system into different operation working conditions on the basis of an original hydrogen pinch point determining method, dividing time intervals according to the starting time and the stopping time of a stream, re-performing pinch point analysis on a hydrogen network after green hydrogen is introduced, and optimizing the hydrogen network by using a superstructure optimizing method and considering rank pressure division and aiming at optimal economy.
Drawings
FIG. 1 is a flow chart of a random pinch-based hydrogen network reconstruction method of the present invention;
FIG. 2 is a time interval plot of the present invention;
FIG. 3 is a pinch point matching flow chart of the present invention;
FIG. 4 is a hypergraph diagram of a hydrogen network containing pressure ratings of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
As shown in fig. 1, the method for reconstructing a hydrogen network based on random pinch points according to the present invention comprises the following steps:
(1) identifying hydrogen sources and hydrogen traps in a hydrogen network and extracting data;
drawing a hydrogen gas pinch diagram, and finding out all hydrogen production units and hydrogen consumption units in a hydrogen energy system, wherein the hydrogen production units can provide hydrogen gas as hydrogen sources, and the hydrogen consumption units can provide hydrogen gas as hydrogen traps by other devices; and counting the hydrogen flow and purity data of all hydrogen sources and hydrogen traps.
(2) As shown in fig. 2, the hydrogen energy system is divided into different working conditions and then divided into time intervals;
considering the influence of high-proportion random new energy, the condition that the operation modes of the hydrogen energy system are different under different working conditions is a normal state, the hydrogen energy system is divided into different operation working conditions, and each working condition is divided into time intervals according to the starting time and the stopping time of the flow as an operation cycle. A different stream is present in each time interval.
(3) Making a flow-concentration composite curve according to the flow and the concentration of the hydrogen source and the hydrogen trap;
the flow rate of the stream was taken as the abscissa and the hydrogen purity as the ordinate. The flow rates of each hydrogen source, hydrogen trap, are represented by horizontal line segments, which can be moved left and right. And arranging hydrogen sources and hydrogen traps according to the hydrogen purity from large to small, and respectively combining line segments obtained in the previous step to obtain a flow-concentration composite curve chart.
(4) Analyzing the part which can be optimized in the hydrogen network by using a flow-concentration composite curve chart, calculating the residual hydrogen amount and making a residual hydrogen map;
in the prepared flow-concentration composite curve chart, a hydrogen source curve and a hydrogen trap curve can form a closed area, the hydrogen source curve represents the surplus hydrogen in the closed area on the hydrogen trap curve, and a line segment is extended rightwards in the remaining hydrogen diagram by the length equal to the integration result; if the hydrogen trap curve is on, it indicates that the hydrogen flow provided by the hydrogen source cannot meet the demand of the hydrogen trap, i.e. the hydrogen is deficient, and therefore the segment is extended to the left. The area of the closed region represents the specific flow rate of the hydrogen excess or hydrogen deficiency of the part.
According to the flow-concentration composite curve chart, a residual hydrogen map is drawn by taking the residual hydrogen quantity as an abscissa and the hydrogen purity as an ordinate, and the residual hydrogen quantity is calculated by the following method:
Figure BDA0003630667840000031
in the formula: s is the residual hydrogen in Nm3/h;yS1Hydrogen purity in% for hydrogen source; y isS2Hydrogen purity of the hydrogen trap is shown in unit of percent; f is the hydrogen flow in the stream.
(5) Different hydrogen streams exist in each time interval, pinch point matching is carried out to obtain a plurality of pinch points, and the pinch point corresponding to the lowest hydrogen purity is selected as the pinch point of the whole hydrogen network;
the pinch point matching flow chart is shown in fig. 3, and a flow-concentration composite curve chart is firstly drawn by taking the flow rate of the stream as an abscissa and the purity of the hydrogen as an ordinate; the hydrogen source and hydrogen trap curves form a closed curve, as shown in the figure, "+" represents hydrogen gas remaining and "-" represents hydrogen gas loss; calculating the residual hydrogen amount based on the graph and drawing a pinch point graph, wherein when the residual hydrogen amount is zero, namely the curve is intersected with the ordinate, the pinch point is the pinch point under the working condition; due to the randomness of the green hydrogen, the flow of the green hydrogen as the hydrogen source with the highest purity can be changed in different time intervals, and different pinch points can be obtained according to the change of the corresponding length on the abscissa defined in the residual hydrogen map. Therefore, the pinch points obtained by the multiple working conditions are different, in order to meet the requirements of all hydrogen traps and utilize the hydrogen source to the maximum extent, according to the principle of pinch point matching, the hydrogen source stream above the pinch point can be directly used, and the hydrogen source stream below the pinch point needs to be treated. The obtained hydrogen among the plurality of pinch points can be utilized, and the pinch point with the lowest hydrogen purity value is selected as the pinch point of the whole hydrogen energy system.
Specifically, it comprises: according to the residual hydrogen map, when the residual hydrogen amount is 0, the intersection point of the line segment of the residual hydrogen map and the Y axis of the residual hydrogen map is the pinch point obtained under the working condition; superposing the residual hydrogen maps of each working condition to obtain a plurality of pinch points; and selecting the point with the lowest hydrogen purity corresponding to the pinch point obtained in the previous step as the pinch point of the whole hydrogen energy system.
(6) Optimizing a hydrogen network by using a superstructure optimization method and considering pressure grade layering with the aim of optimal economy;
as shown in fig. 4, the hydrogen network establishes a superstructure of the hydrogen network, the devices related to the hydrogen gas are divided into hydrogen sources and hydrogen wells, pressure levels are layered at first, and simultaneously, the pressure levels are also divided in each layer of pressure levels, and all connections from the hydrogen sources to the hydrogen wells are established; and (4) considering economic influence factors including hydrogen supply cost, compressor electricity cost and the like, selecting the most appropriate hydrogen supply route, and carrying out structural optimization on the hydrogen network.
Specifically, an objective function is established with the economic optimization as the target:
Figure BDA0003630667840000041
wherein C is the total cost; fj,kIs the flow from hydrogen source j to hydrogen trap k; cjHydrogen price for hydrogen source j; ceThe unit price is used for the compressor; p isj,kEnergy consumption for the compressor; α is a unit conversion coefficient. Constraints include hydrogen trap/source constraints, PSA constraints, impurity constraints, compressor constraints, and the like.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (5)

1. A hydrogen network reconstruction method based on random pinch points is characterized by comprising the following steps:
(1) identifying hydrogen sources and hydrogen traps in a hydrogen network and extracting data;
(2) dividing a hydrogen energy system into different working conditions and then dividing time intervals;
(3) making a flow-concentration composite curve chart according to the flow and the concentration of the hydrogen source and the hydrogen trap;
(4) analyzing the part which can be optimized in the hydrogen network by using a flow-concentration composite curve chart, calculating the residual hydrogen amount and making a residual hydrogen map;
(5) different streams exist in each time interval, pinch point matching is carried out to obtain a plurality of pinch points, and the pinch point corresponding to the lowest hydrogen purity is selected as the pinch point of the whole hydrogen network;
(6) and optimizing the hydrogen network by using a superstructure optimization method and considering pressure grade layering with the aim of optimal economy.
2. The random pinch-based hydrogen network reconstruction method according to claim 1, characterized in that: the step (2) comprises the following steps:
firstly, dividing a hydrogen energy system into different working conditions based on the randomness of new energy power generation and hydrogen production; and each working condition divides the time interval by taking the starting time and the stopping time of the flow as an operation period.
3. The random pinch point-based hydrogen network reconstruction method of claim 1, wherein: and (3) taking the flow rate of the stream as an abscissa, taking the purity of the hydrogen as an ordinate, and representing the flow rate of each hydrogen source and each hydrogen trap by a horizontal line segment.
4. The random pinch-based hydrogen network reconstruction method according to claim 3, characterized in that: the pinch point matching in the step (5) comprises the following steps:
(1) according to the residual hydrogen map, when the residual hydrogen amount is 0, the intersection point of the line segment in the residual hydrogen map and the Y axis of the residual hydrogen map is the pinch point obtained under the working condition;
(2) superposing the residual hydrogen maps of each working condition to obtain a plurality of pinch points;
(3) and selecting the point with the lowest hydrogen purity corresponding to the pinch point obtained in the previous step as the pinch point of the whole hydrogen energy system.
5. The random pinch-based hydrogen network reconstruction method according to claim 1, characterized in that: the step (6) comprises the following steps:
(1) dividing devices related to hydrogen into a hydrogen source and a hydrogen trap, layering pressure grades, dividing the pressure grade in each layer of pressure grade, and establishing all connections from the hydrogen source to the hydrogen trap;
(2) considering economic influence factors including hydrogen supply cost and compressor electricity cost, establishing an objective function by taking optimal economy as a target:
Figure FDA0003630667830000021
wherein C is the total cost; fj,kIs the flow from hydrogen source j to hydrogen trap k; cjHydrogen price for hydrogen source j; ceThe unit price is used for the compressor; p isj,kEnergy consumption for the compressor; alpha is a unit conversion coefficient;
constraints include hydrogen trap/source constraints, PSA constraints, impurity constraints, and compressor constraints.
CN202210488034.4A 2022-05-06 2022-05-06 Hydrogen network reconstruction method based on random pinch points Active CN114757126B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210488034.4A CN114757126B (en) 2022-05-06 2022-05-06 Hydrogen network reconstruction method based on random pinch points

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210488034.4A CN114757126B (en) 2022-05-06 2022-05-06 Hydrogen network reconstruction method based on random pinch points

Publications (2)

Publication Number Publication Date
CN114757126A true CN114757126A (en) 2022-07-15
CN114757126B CN114757126B (en) 2024-03-22

Family

ID=82332306

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210488034.4A Active CN114757126B (en) 2022-05-06 2022-05-06 Hydrogen network reconstruction method based on random pinch points

Country Status (1)

Country Link
CN (1) CN114757126B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1815227A (en) * 2006-02-16 2006-08-09 西安交通大学 Method for determining grip pure-hydrogen amount and flow for hydrogen network system
CA2739467A1 (en) * 2008-10-10 2010-04-15 Exxonmobil Research And Engineering Company Optimizing refinery hydrogen gas supply, distribution and consumption in real time
CN106485341A (en) * 2015-08-27 2017-03-08 中国石油化工股份有限公司 A kind of optimization method of refinery hydrogen system and its application
CN107918280A (en) * 2017-11-21 2018-04-17 华东理工大学 A kind of NETWORK IN REFINERY Optimization Scheduling for pressing from both sides point method and being mixed with superstructure method
CN109255461A (en) * 2017-07-12 2019-01-22 中国石油化工股份有限公司 A kind of optimization method and optimization system of hydrogen resources
CN110020444A (en) * 2017-07-12 2019-07-16 中国石油化工股份有限公司 A kind of optimization method and system of hydrogen resources

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1815227A (en) * 2006-02-16 2006-08-09 西安交通大学 Method for determining grip pure-hydrogen amount and flow for hydrogen network system
CA2739467A1 (en) * 2008-10-10 2010-04-15 Exxonmobil Research And Engineering Company Optimizing refinery hydrogen gas supply, distribution and consumption in real time
CN106485341A (en) * 2015-08-27 2017-03-08 中国石油化工股份有限公司 A kind of optimization method of refinery hydrogen system and its application
CN109255461A (en) * 2017-07-12 2019-01-22 中国石油化工股份有限公司 A kind of optimization method and optimization system of hydrogen resources
CN110020444A (en) * 2017-07-12 2019-07-16 中国石油化工股份有限公司 A kind of optimization method and system of hydrogen resources
CN107918280A (en) * 2017-11-21 2018-04-17 华东理工大学 A kind of NETWORK IN REFINERY Optimization Scheduling for pressing from both sides point method and being mixed with superstructure method

Also Published As

Publication number Publication date
CN114757126B (en) 2024-03-22

Similar Documents

Publication Publication Date Title
CN106485341B (en) A kind of optimization method of refinery hydrogen system and its application
CN109325608A (en) Consider the distributed generation resource Optimal Configuration Method of energy storage and meter and photovoltaic randomness
CN108876000A (en) A kind of photovoltaic charge station light, storage, transformer capacity coordinate and optimize configuration method
CN106684915A (en) Wind-hydrogen coupling power generation system optimization method and device thereof
CN113128786B (en) Wind, light and water complementary capacity and site selection optimization method based on space grid search
CN108539231A (en) A kind of control method for coordinating and system of more set fuel cell systems
CN111724045A (en) Comprehensive energy system energy efficiency evaluation and promotion method based on data driving
CN113098036A (en) Comprehensive energy system operation method based on hydrogen fuel cell
CN114154558A (en) Distributed energy power generation load prediction system and method based on graph neural network
CN117081143A (en) Method for promoting coordination and optimization operation of park comprehensive energy system for distributed photovoltaic on-site digestion
CN114757126A (en) Hydrogen network reconstruction method based on random pinch point
CN113762792A (en) Fixed and mobile hybrid energy storage system optimal configuration system and method
CN114243760A (en) Photovoltaic energy storage coordination configuration method suitable for power distribution network
CN112039058A (en) Unit combination method, system, medium and device based on wind power prediction interval
CN110504675A (en) A kind of alternating current-direct current mixing distribution network transform method and system for planning
CN114362220B (en) Peak regulation auxiliary decision-making method for energy storage power station
CN107154628A (en) Electric automobile networking electric discharge price cap and networking power relation computational methods
CN112069676A (en) Micro-grid energy management method containing clean energy
CN112650162A (en) Intelligent energy flexible load layered and distributed cooperative control method and system
CN117744860A (en) Comprehensive energy system capacity optimization configuration method suitable for multi-county-domain photovoltaics
CN111882137B (en) Charging facility optimization planning method considering consumption of pressure energy of natural gas pipe network
Granfeldt Optimization of Low-Cost Integration of Wind and Solar Power in Multi-Node Electricity Systems: Mathematical Modelling and Dual Solution Approaches
CN110400050B (en) Calculation method for substitutable degree of freedom index of comprehensive energy system
CN110941182A (en) Method for optimizing cost of oxygen system of iron and steel enterprise
Wang et al. A COMBINED APPROACH FOR ANALYZING THE IMPACT OF SPATIAL CLUSTERING ON LARGE-SCALE URBAN ENERGY SYSTEM OPTIMIZATION

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant