CN112269964A - Hydrogen energy system power capacity calculation method based on double-gradient function - Google Patents

Hydrogen energy system power capacity calculation method based on double-gradient function Download PDF

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CN112269964A
CN112269964A CN202011194434.1A CN202011194434A CN112269964A CN 112269964 A CN112269964 A CN 112269964A CN 202011194434 A CN202011194434 A CN 202011194434A CN 112269964 A CN112269964 A CN 112269964A
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hydrogen energy
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高鹏飞
胡家华
冉亮
袁铁江
吕清泉
马明
沈渭程
赵龙
周强
张珍珍
张健美
张睿骁
张彦琪
朱宏毅
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Dalian University of Technology
State Grid Gansu Electric Power Co Ltd
Electric Power Research Institute of State Grid Gansu Electric Power Co Ltd
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State Grid Gansu Electric Power Co Ltd
Electric Power Research Institute of State Grid Gansu Electric Power Co Ltd
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Abstract

A method for calculating power capacity of a hydrogen energy system based on a double-gradient function. Firstly, a wind power annual output total model and a wind power annual output mean model are established, then a wind power annual output total equivalent model is established according to a double-gradient function theory, then a annual minimum output duration time factor is calculated, a hydrogen energy system power capacity calculation model is established, and finally the capacity calculation model is solved by combining wind power output data to obtain a hydrogen energy system power capacity calculation result. The method can greatly reduce the calculation complexity of the power capacity of the hydrogen energy system and improve the adaptability of the hydrogen energy system to the wind power output fluctuation.

Description

Hydrogen energy system power capacity calculation method based on double-gradient function
Technical Field
The invention relates to a method for calculating power capacity of a hydrogen energy system.
Background
With the wide access of large-scale renewable energy sources to the power grid, the randomness, intermittency and volatility of power generation of the large-scale renewable energy sources can bring serious challenges to the safe operation of the power grid. The stored energy can play the roles of stabilizing fluctuation, clipping peak and filling valley and the like, and is favorable for solving a series of problems caused by renewable energy grid connection. However, the conventional energy storage technology cannot meet the requirements of large-scale energy storage and future green energy development, and is high in cost. In recent years, due to the development of a hydrogen production technology and the breakthrough of a proton exchange membrane fuel cell technology (PEMFC), the large-scale safe grid connection change of wind power depending on the traditional energy storage technology becomes possible. Hydrogen gas energy provides a "balance" between the production and supply of electricity, being the best choice as an energy storage medium; the water electrolysis device has strong adaptability to the unstable power output of the fan; PEMFCs are the best energy conversion devices for hydrogen-electricity. Meanwhile, the PEMFC has the advantages of no pollution, high energy conversion efficiency, long service life of the battery, good stability, zero emission and the like. Further, the equivalent charge-discharge process of the hydrogen energy storage technology is as follows: the process of electrolyzing water to produce hydrogen and oxygen (charging), storing hydrogen and oxygen (storing energy), generating electricity (discharging) by hydrogen-oxygen combustion or sending the electricity to hydrogen-oxygen users by various transportation means (equivalent discharging) realizes the mass storage and the control of wind power.
In view of the characteristics of randomness, volatility and the like of the self-adaptive wind power in the range of 0-100% of rated power of an electrolytic cell in the hydrogen production system, the hydrogen energy storage system almost has the advantages that the power type and energy type energy storage technologies are applied to the field of wind power. Therefore, it is necessary to specifically study key technical problems such as a hydrogen energy system capacity calculation method.
Disclosure of Invention
The invention provides a method for calculating the power capacity of a hydrogen energy system based on a dual-step function, which is based on a dual-step function load model, can greatly reduce the calculation complexity of the power capacity of the hydrogen energy system, and improves the adaptability of the power capacity of the hydrogen energy system to the wind power output fluctuation during the configuration.
The invention adopts the following technical scheme:
a method for calculating power capacity of a hydrogen energy system based on a double-gradient function comprises the following steps:
1) establishing a wind power annual output total model and a wind power annual output mean model;
2) establishing a wind power annual output total equivalent model according to a double-gradient function theory;
3) calculating a minimum annual output duration factor;
4) establishing a power capacity calculation model of a hydrogen energy system;
5) and (3) solving the model in the step 4) by adopting Matlab in combination with the wind power output data to obtain a power capacity calculation result of the hydrogen energy system.
In the step 1) described above, the step of,
the wind power annual output total model is shown as the formula (1):
Figure BDA0002753628660000021
the wind power annual output mean value model is shown as the formula (2):
Figure BDA0002753628660000022
in the formula: eYIs the total annual output of wind powerW,avIs the mean value of annual wind power output, PW(t) is the output value of t hours in one year of wind power, and the total annual output E of wind powerYMean annual wind power output PW,avAnd the output value P of the wind power within one year at t hoursW(T) can be obtained directly using local monitoring data or by stochastic production simulation, T is the number of whole year hours 8760, Δ T is the minimum unit time interval 1 h.
In the step 2), the double-step load model firstly selects the maximum value and the minimum value in the load curve, then respectively gives the duration time of the maximum load and the duration time of the minimum load for equivalent total load consumption, in addition, the sum of the duration time of the maximum load and the duration time of the minimum load is equal to the annual hour number, and finally, the duration time of the maximum load and the duration time of the minimum load are calculated.
Load in the double-gradient load model is replaced by wind power output, and then the wind power annual output total equivalent model is as shown in formula (3):
Figure BDA0002753628660000023
in the formula: pW,min、PW,maxRespectively a minimum output valley value in a wind power year and a maximum output peak value in the year,
Figure BDA0002753628660000024
respectively the minimum and maximum output duration time in the wind power year, and has
Figure BDA0002753628660000025
In the step 3), the step of the method comprises the following steps,
annual minimum force-out duration factor gammaYThe definition expression is shown as formula (4):
Figure BDA0002753628660000026
combining the formula (3) and the formula (4), the wind power annual output average expression can be rewritten as shown in the formula (5):
PW,av＝PW,minγY+PW,max(1-γY) (5)
finishing to obtain gammaYThe calculation expression is shown in formula (6):
Figure BDA0002753628660000031
in the formula: gamma rayYFor the annual minimum force-out duration factor,
Figure BDA0002753628660000032
respectively the minimum output duration and the maximum output duration in a wind power year, and
Figure BDA0002753628660000033
t is the annual hours 8760, PW,min、PW,max、PW,avThe minimum output valley value, the maximum output peak value and the average value of the annual output of the wind power generation are respectively.
In the step 4), the step of processing the first and second images,
the calculation model of the power capacity of the hydrogen energy system is shown as the formula (7):
Figure BDA0002753628660000034
in the formula: pHESIs the power capacity of the hydrogen energy system, gammaYIs a minimum annual output duration factor, PW,min、PW,max、PW,avThe minimum output valley value, the maximum output peak value and the average value of the annual output of the wind power generation are respectively.
In the step 5), the step of processing the raw material,
the wind power output data is generated power data of a wind power generator set of a calculation target in a whole year, the time resolution is 1h, and the total annual time length is 8760 h.
In general, the invention has the following beneficial technical effects:
the method for calculating the power capacity of the hydrogen energy system is formulated based on the double-gradient function load model theory, the fluctuation and the low predictability of the wind power output are comprehensively considered, the method is favorable for quickly and simply obtaining the power capacity of the hydrogen energy system butted with the wind power, the calculation complexity of the power capacity of the hydrogen energy system can be effectively reduced, and the adaptability of the hydrogen energy system to the wind power output fluctuation can be improved.
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FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 shows the wind power output situation in a certain place.
Detailed Description
The embodiment provides a method for calculating power capacity of a hydrogen energy system based on a double-gradient function, which specifically comprises the following steps:
the wind power output situation of a given place and year is shown in figure 2. According to the wind power output situation of a certain place and year shown in fig. 2, the method for calculating the power capacity of the hydrogen energy system based on the double gradient functions comprises the following steps:
1) establishing a wind power annual output total model and a wind power annual output mean model;
the wind power annual output total model is shown as the formula (1):
Figure BDA0002753628660000041
the wind power annual output mean value model is shown as the formula (2):
Figure BDA0002753628660000042
PWand (T) is the output value of the wind power in T hours in one year, as shown in FIG. 2, T is the annual hours 8760, and delta T is the minimum unit time interval 1 h.
E is calculated from the formulas (1) and (2)Y、PW,av15189840MW and 1734MW respectively.
2) Establishing a wind power annual output total equivalent model according to a double-gradient function theory;
the wind power annual total output equivalent model is shown as the formula (3):
Figure BDA0002753628660000043
from FIG. 2, PW,min、PW,max177MW and 5185MW respectively.
Calculating from the model
Figure BDA0002753628660000044
6036.5 and 2723.5, respectively.
3) Calculating a minimum annual output duration factor;
annual minimum force-out duration factor gammaYThe definition expression is shown as formula (4):
Figure BDA0002753628660000045
combining the formula (3) and the formula (4), the wind power annual output average expression can be rewritten as shown in the formula (5):
PW,av＝PW,minγY+PW,max(1-γY) (5)
finishing to obtain gammaYThe calculation expression is shown in formula (6):
Figure BDA0002753628660000046
calculating gamma from the expressionYIs 0.6891.
4) And establishing a power capacity calculation model of the hydrogen energy system.
The calculation model of the power capacity of the hydrogen energy system is shown as the formula (7):
Figure BDA0002753628660000047
in the formula: pHESIs the power capacity of the hydrogen energy system.
5) And solving by combining wind power output data and adopting a Matlab capacity calculation model to obtain a power capacity calculation result of the hydrogen energy system. The final calculation result of the power capacity of the hydrogen energy system is 1612 MW.

Claims (7)

1. A method for calculating power capacity of a hydrogen energy system based on a double-gradient function is characterized by comprising the following steps:
1) establishing a wind power annual output total model and a wind power annual output mean model;
2) establishing a wind power annual output total equivalent model according to a double-gradient function theory;
3) calculating a minimum annual output duration factor;
4) establishing a power capacity calculation model of a hydrogen energy system;
5) and (3) solving the model in the step 4) by adopting Matlab in combination with the wind power output data to obtain a power capacity calculation result of the hydrogen energy system.
2. The method for calculating power capacity of a hydrogen energy system based on double gradient functions according to claim 1, wherein in the step 1),
the wind power annual output total model is shown as the formula (1):
Figure FDA0002753628650000011
the wind power annual output mean value model is shown as the formula (2):
Figure FDA0002753628650000012
in the formula: eYIs the total annual output of wind powerW,avIs the mean value of annual wind power output, PW(T) is the output of the wind power in T hours in one year, T is the annual hours 8760, and delta T is the minimum unit time interval 1 h.
3. The method for calculating power capacity of a hydrogen energy system based on double gradient functions according to claim 1, wherein in the step 2),
the wind power annual output total equivalent model is shown as the formula (3):
Figure FDA0002753628650000013
in the formula: pW,min、PW,maxRespectively a minimum output valley value in a wind power year and a maximum output peak value in the year,
Figure FDA0002753628650000014
respectively the minimum and maximum output duration time in the wind power year, and has
Figure FDA0002753628650000015
T is the number of annual hours 8760.
4. The method for calculating power capacity of a hydrogen energy system based on double gradient functions according to claim 1, wherein in the step 3),
the annual minimum output duration factor γYThe definition expression is shown as formula (4):
Figure FDA0002753628650000021
combining the formulas (3) and (4), the average annual wind power output expression is rewritten as shown in the formula (5):
PW,av＝PW,minγY+PW,max(1-γY) (5)
finishing to obtain gammaYThe calculation expression is shown in formula (6):
Figure FDA0002753628650000022
in the formula: gamma rayYFor the annual minimum force-out duration factor,
Figure FDA0002753628650000023
respectively the minimum output duration and the maximum output duration in a wind power year, and
Figure FDA0002753628650000024
t is the annual hours 8760, PW,min、PW,max、PW,avThe minimum output valley value, the maximum output peak value and the average value of the annual output of the wind power generation are respectively.
5. The method for calculating power capacity of a hydrogen energy system based on double gradient functions according to claim 1, wherein in the step 4),
the calculation model of the power capacity of the hydrogen energy system is shown as the formula (7):
Figure FDA0002753628650000025
in the formula: pHESIs the power capacity of the hydrogen energy system, gammaYIs a minimum annual output duration factor, PW,min、PW,max、PW,avThe minimum output valley value, the maximum output peak value and the average value of the annual output of the wind power generation are respectively.
6. The method for calculating the power capacity of the hydrogen energy system based on the double-gradient function according to claim 1, wherein in the step 5), the wind power output data is generated power data of a wind power generation unit of a whole year where a calculation target is located, the time resolution is 1h, and the total time length of the whole year is 8760 h.
7. The method of claim 1, wherein the hydrogen energy system power capacity is an electrolyzer power capacity.
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Citations (4)

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Publication number Priority date Publication date Assignee Title
CN108206547A (en) * 2018-01-08 2018-06-26 福州大学 The method of wind hydrogen coupled electricity-generation system each unit capacity optimization
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Patent Citations (4)

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Publication number Priority date Publication date Assignee Title
CN108206547A (en) * 2018-01-08 2018-06-26 福州大学 The method of wind hydrogen coupled electricity-generation system each unit capacity optimization
CN109741110A (en) * 2019-01-07 2019-05-10 福州大学 A kind of wind hydrogen system combined optimization modeling method based on chance constrained programming
CN110970912A (en) * 2019-12-09 2020-04-07 国网新疆电力有限公司 Operation simulation method for new energy power system containing energy storage
CN111313480A (en) * 2020-03-26 2020-06-19 中国华能集团清洁能源技术研究院有限公司 Multi-objective optimization-based design method of multi-energy complementary system

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