CN115859608A - Hydrogen production power dynamic adjustment method based on wind-solar grid connection - Google Patents
Hydrogen production power dynamic adjustment method based on wind-solar grid connection Download PDFInfo
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Abstract
The invention provides a dynamic hydrogen production power adjustment method based on wind-solar grid connection, which comprises the following steps: establishing a wind-solar power generation amount prediction model; obtaining operation data of a target electrolytic cell, and establishing an operation data simulation model according to the operation data; establishing a comprehensive income model according to the energy price; and determining an electrolysis cell operation strategy with the highest profit as a hydrogen production power adjustment strategy based on the wind-solar power generation amount prediction model, the operation data simulation model and the comprehensive profit model, and ensuring that the electrolysis hydrogen production strategy with the highest profit is formulated according to the predicted wind-solar power generation amount.
Description
Technical Field
The invention relates to the technical field of wind-solar power generation, in particular to a method for dynamically adjusting hydrogen production power based on wind-solar grid connection.
Background
With the rapid development of wind power generation and photovoltaic power generation technologies, wind and photovoltaic power generation has been used in many industries. However, wind and photovoltaic power generation has the characteristics of intermittence, randomness and volatility, and a power grid has higher requirements on the quality of electric energy, so that wind and photovoltaic cannot smoothly and stably realize large-scale grid connection, and the waste of wind and photovoltaic power generation resources is caused.
In some prior art, the problem of local consumption of wind power and photoelectricity is solved by a hydrogen production mode, a user sets a constant-power hydrogen production mode, electric energy required by a hydrogen production device is preferentially obtained from wind-light power generation amount, and when wind-light power generation is insufficient, electricity is required to be bought from a power grid to supplement the lacking hydrogen production electric quantity. In the other hydrogen production mode, the power is automatically and automatically used for surfing the internet, the wind and light power generation capacity preferentially meets the hydrogen production requirement, and the extra power is fed into the power grid.
Disclosure of Invention
The invention solves the problem of how to improve the hydrogen production benefit of wind-solar power generation.
In order to solve the problems, the invention provides a dynamic hydrogen production power adjustment method based on wind-solar grid connection, which comprises the following steps:
establishing a wind-solar power generation amount prediction model;
obtaining operation data of a target electrolytic cell, and establishing an operation data simulation model according to the operation data;
establishing a comprehensive income model according to the energy price;
and determining an electrolysis bath operation strategy with the highest profit as a hydrogen production power adjustment strategy based on the wind-solar power generation amount prediction model, the operation data simulation model and the comprehensive profit model.
Optionally, the determining an electrolysis cell operation strategy with the highest profit based on the wind-solar power generation amount prediction model, the operation data simulation model and the comprehensive profit model as a hydrogen production power adjustment strategy comprises:
obtaining the wind and light power generation amount at a target moment based on the wind and light power generation amount prediction model;
judging the quantity relation between the wind-solar power generation amount and hydrogen production load power at the target moment to obtain a first quantity relation, wherein the hydrogen production load power comprises a first hydrogen production load power, a second hydrogen production load power and a third hydrogen production load power;
when the first quantity relation meets a first condition, judging the quantity relation between the wind-solar power generation and the second hydrogen production load power to obtain a second quantity relation, wherein the second hydrogen production load power is greater than or equal to the first hydrogen production load power, and the second hydrogen production load power is less than or equal to the third hydrogen production load power;
and determining an optimal income strategy according to the second quantity relation, and taking the optimal income strategy as the hydrogen production power regulation strategy.
Optionally, the comprehensive profit model includes a power purchase price model, and before the determining the highest-profit electrolyzer operating strategy as the hydrogen production power adjustment strategy based on the wind-solar energy generation amount prediction model, the operating data simulation model and the comprehensive profit model, the method further includes:
determining a power purchase price model based on the electricity transaction price, the electricity consumption price, the electricity price floating proportion, the demand electricity price and the additional value in the power transmission and distribution price;
and determining the hydrogen production load percentage at the target moment according to the operation data simulation model and the electricity purchasing price model, and determining the second hydrogen production load power according to the hydrogen production load percentage.
Optionally, the determining an optimal profit strategy according to the second quantity relationship as the hydrogen production power adjustment strategy includes:
calculating a first hydrogen production benefit of the wind and light power generation amount according to the comprehensive benefit model;
calculating hydrogen production profit according to the comprehensive profit model within the range of the first hydrogen production load percentage and the third hydrogen production load percentage by taking a preset hydrogen production load percentage as a step length, and taking the maximum hydrogen production profit as a second hydrogen production profit, wherein the first hydrogen production load percentage is determined by the first hydrogen production load power, and the second hydrogen production load percentage is determined by the second hydrogen production load power;
judging whether the first hydrogen production yield is greater than the second hydrogen production yield;
and if the first hydrogen production yield is greater than the second hydrogen production yield, the hydrogen production load power corresponding to the wind and light power generation amount is used as the hydrogen production power adjustment strategy according to the operation data simulation model.
Optionally, calculating hydrogen production profit according to the comprehensive profit model within the range of the first hydrogen production load power and the third hydrogen production load power by using a preset hydrogen production load percentage as a step length, and taking the maximum hydrogen production profit as a second hydrogen production profit includes:
judging whether the wind-solar power generation is larger than the second hydrogen production load power;
if not, increasing the hydrogen production load percentage by taking the preset hydrogen production load percentage as a step length, and calculating the hydrogen production benefit corresponding to each hydrogen production load percentage;
if so, reducing the hydrogen production load percentage by taking the preset hydrogen production load percentage as a step length, and calculating the hydrogen production benefit corresponding to each hydrogen production load percentage.
Optionally, after the determining the quantitative relation between the wind-solar power generation amount and the hydrogen production load power at the target moment and obtaining a first quantitative relation, the method further includes:
when the first quantity relation meets a second condition, the target electrolytic cell is not started, and the electric energy generated by photovoltaic and wind is completely connected to the Internet to serve as the hydrogen production power adjustment strategy;
and when the first quantity relation meets a third condition, adjusting the working power of the target electrolytic cell to the third hydrogen production load power, and connecting the rest electric energy to the Internet as the hydrogen production power adjustment strategy.
Optionally, the first condition comprises the wind-solar power generation being greater than or equal to the first hydrogen-producing load power and less than or equal to the third hydrogen-producing load power;
the second condition comprises the wind-solar power generation being less than the first hydrogen-producing load power;
the third condition includes the wind-solar power generation being greater than the third hydrogen-producing load power.
Optionally, the operational data includes electricity consumption data and hydrogen production data corresponding to the electricity consumption data.
Optionally, the establishing of the wind-solar energy generation amount prediction model includes:
acquiring photovoltaic equipment parameter data and TMY data, wherein the photovoltaic equipment parameter data comprises component parameter data and inverter parameter data;
establishing a photovoltaic power generation capacity prediction model according to the photovoltaic equipment parameter data and the TMY data;
acquiring wind power equipment parameter data and wind resource data, wherein the wind power equipment parameter data comprises fan parameter data and wind field parameter data;
and establishing a wind power generation capacity prediction model according to the wind power equipment parameter data, wherein the wind power generation capacity prediction model comprises the photovoltaic power generation capacity prediction model and the wind power generation capacity prediction model.
Optionally, the obtaining the wind power generation amount at the target time according to the wind power generation amount prediction model comprises:
obtaining the photovoltaic power generation amount of the target moment according to the photovoltaic power generation amount prediction model;
and obtaining the wind power generation amount at the target moment according to the wind power generation amount prediction model.
Compared with the prior art, the method has the advantages that the future wind-light power generation amount is predicted by establishing the wind-light power generation amount prediction model, the negative influence caused by the fluctuation of the wind-light power generation is reduced by the predicted power generation amount, and the accuracy of the hydrogen production power strategy optimization is ensured; establishing an operation data simulation model according to the operation data of the target electrolytic cell, ensuring that the hydrogen production rate under different operation conditions is accurately obtained according to the historical operation conditions of the electrolytic cell, and obtaining the accurate operation conditions of the electrolytic cell according to the predicted wind and light power generation amount; and establishing a comprehensive profit model according to the energy price, quantizing the comprehensive profit of hydrogen production according to the operation condition of the electrolytic cell by taking the price as a main factor, and selecting a corresponding strategy as a hydrogen production power adjustment strategy according to the comprehensive profit condition.
Drawings
FIG. 1 is a schematic flow chart of a dynamic hydrogen production power adjustment method based on grid-connected wind and solar energy in an embodiment of the invention;
FIG. 2 is a schematic flow chart of the dynamic hydrogen production power adjustment method based on wind-solar grid connection according to the embodiment of the invention after step S400 is refined;
FIG. 3 is a schematic flow chart of the dynamic hydrogen production power adjustment method based on wind-solar grid connection according to the embodiment of the invention after step S300 is refined;
FIG. 4 is a schematic flow chart of the dynamic hydrogen production power adjustment method based on wind-solar grid connection according to the embodiment of the invention after step S440 is refined;
fig. 5 is another schematic flow diagram after step S400 of the dynamic hydrogen production power adjustment method based on wind-solar grid connection is refined according to the embodiment of the invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments"; the term "optionally" means "alternative embodiments". Relevant definitions for other terms will be given in the following description. It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
As shown in fig. 1, an embodiment of the present invention provides a method for dynamically adjusting hydrogen production power based on wind-solar grid connection, including:
and S100, establishing a wind-solar power generation amount prediction model.
Because wind power generation and photovoltaic power generation have the characteristics of intermittence, randomness and fluctuation, and the grid has higher requirement on grid connection, the wind and light abandoning phenomenon of wind and light abandoning of wind and photovoltaic power generation depending on external environment power generation often occurs, in order to solve the problem of local consumption of the wind power generation and the photovoltaic power generation, the grid-connected wind and light hydrogen production system is generated at the same time, the wind power generation equipment and the photovoltaic power generation equipment are connected to the grid, when the generated energy of the wind power generation and the photovoltaic power generation fluctuates, the electric energy can be bought and sold from the grid according to the requirement, the originally wasted electric energy is electrolyzed to produce hydrogen, and the wind and light abandoning phenomenon of the wind and photovoltaic power generation is ensured to be avoided.
Specifically, a wind and light power generation amount prediction model is established for the wind power generation equipment and the photovoltaic power generation equipment to predict the power generation amount, so that the power generation amounts of the wind power generation equipment and the photovoltaic power generation equipment in a short time in the future can be accurately obtained, and a power buying and selling strategy and an electrolytic hydrogen production strategy for the future can be planned in advance.
Optionally, acquiring photovoltaic device parameter data and TMY data, wherein the photovoltaic device parameter data includes photovoltaic module parameter data and inverter parameter data;
establishing a photovoltaic power generation capacity prediction model according to the photovoltaic equipment parameter data and the TMY data;
acquiring wind power equipment parameter data and wind resource data, wherein the wind power equipment parameter data comprises fan parameter data and wind field parameter data;
and establishing a wind power generation capacity prediction model according to the wind power equipment parameter data, wherein the wind power generation capacity prediction model comprises the photovoltaic power generation capacity prediction model and the wind power generation capacity prediction model.
TMY data represents typical meteorological year data, and specifically includes parameters such as GHI (global horizontal irradiance), DNI (direct normal irradiance), DIF (diffuse horizontal irradiance), SE (solar altitude), SA (solar azimuth), TEMP (temperature), WS (wind speed), WD (wind direction), and the like.
In one embodiment, the internal and external properties of the photovoltaic power generation equipment are obtained through photovoltaic equipment parameter data and typical meteorological year data, and the corresponding situation of the historical operation situation of the equipment and the photovoltaic power generation quantity can be established through the equipment parameter data; the corresponding situation of historical meteorological data and photovoltaic power generation capacity can be established through the TMY data. And an accurate photovoltaic power generation capacity prediction model is obtained according to historical information.
The characteristics of the interior and the exterior of the wind power generation equipment can be obtained through the wind power equipment parameter data and the wind resource data, and the corresponding condition of the historical operation condition of the equipment and the wind power generation amount can be established through the equipment parameter data; the corresponding situation of historical wind resources and wind power generation can be established through the wind resource data, and an accurate wind power generation capacity prediction model can be obtained according to historical information.
In one embodiment, according to photovoltaicThe photovoltaic power generation quantity P of the small level is obtained by the power generation quantity prediction model Photovoltaic system (T) obtaining the wind power generation amount P of the small-scale according to the wind power generation amount prediction model Wind power generation (T), wherein T is on the order of hours. The wind power generation amount prediction model can be expressed as: p is Wind and light (T)＝P Photovoltaic system (T)+P Wind power generation (T)。
Optionally, obtaining the photovoltaic power generation amount at the target moment according to the photovoltaic power generation amount prediction model;
and obtaining the wind power generation amount at the target moment according to the wind power generation amount prediction model.
In an embodiment, because the meteorological conditions at different moments are different and the electricity selling prices and electricity consumption amounts of power grids at different moments are also different, when the wind and light electricity generation amount needs to be predicted, the wind and light electricity generation amount at a target moment is predicted through a photovoltaic electricity generation amount prediction model and a wind electricity generation amount prediction model, wherein the wind and light electricity generation amount indicates the sum of the photovoltaic electricity generation amount and the wind electricity generation amount.
Optionally, the time span of the target time is 1 hour.
And S200, acquiring the operation data of the target electrolytic cell, and establishing an operation data simulation model according to the operation data.
After the wind and light power generation amount at the target moment is obtained according to the wind and light power generation amount prediction model, in order to ensure that the electric energy is utilized to the maximum extent, the abandoned wind and abandoned light amount is reduced, and the maximum hydrogen production benefit is obtained, the operation characteristics of the electrolytic cell need to be summarized.
In one embodiment, the "actual power consumption data-hydrogen production data" curves of different electrolyzers are different, so that it is necessary to determine the target electrolyzer first and then establish a simulation model of the operating data of the target electrolyzer.
Specifically, the operation data of the target electrolytic cell is obtained, a mapping relation is established between the equipment operation parameters of the electrolytic cell and the hydrogen production effect, and the hydrogen production quantity of the target electrolytic cell can be accurately predicted for any power input of the target electrolytic cell.
Optionally, when the type of the target electrolytic cell is more than 1, different operation data simulation models are established for different electrolytic cells.
In one embodiment, the hydrogen production device (i.e., the electrolyzer) consumes different amounts of electricity and produces different amounts of hydrogen at different hydrogen production load percentages, and the hydrogen production load percentages are set to H X. The method comprises the steps of simulating according to actual power consumption data and hydrogen production data of an electrolytic cell in operation, firstly, carrying out data processing on n groups of actual power consumption data and hydrogen production data of the electrolytic cell in the type to obtain a relation numerical formula between the actual power consumption data and the hydrogen production data, carrying out curve fitting by utilizing a cmax-es algorithm based on the formula, and obtaining characteristic coefficients a, b and c of the equation through parameter identification, wherein the equation represents the external characteristics of the electrolytic cell in the type. Meanwhile, the fitting curve and the minimum error map of the given parameters are judged as a target, fitting is carried out step by step, a simulation model is output according to a finally obtained fitting result, and the relation equation can be expressed as follows:
(H*X)＝aP^2+bP+c，
wherein H is the rated hydrogen production capacity of the electrolytic cell, X is the hydrogen production load percentage, and P is the hydrogen production power consumption.
And step S300, establishing a comprehensive income model according to the energy price.
Specifically, the comprehensive benefits of wind-solar power generation and hydrogen production are quantified by taking the hydrogen sale/electricity sale benefits as reference.
In one embodiment, since the electricity price and the hydrogen price are continuously changed according to the external factors, a comprehensive profit model needs to be established according to the electricity price and the hydrogen price to establish a data relationship between the energy and the selling price, and profits brought by electricity and/or hydrogen selling under different conditions are calculated through the comprehensive profit model.
And S400, determining an electrolytic cell operation strategy with the highest profit as a hydrogen production power adjustment strategy based on the wind-solar power generation amount prediction model, the operation data simulation model and the comprehensive profit model.
Specifically, the small-scale power generation amount of wind power generation and photovoltaic power generation is accurately predicted through a wind and light power generation amount prediction model, and the predicted wind and light power generation amount at the target moment is obtained; processing wind-solar power generation through operating a data simulation model to obtain hydrogen production power and hydrogen production quantity of a target electrolytic cell under the wind-solar power generation, and determining electricity selling/hydrogen selling quantities under different preset strategies according to the wind-solar power generation; and after the electricity/hydrogen sales volume is obtained, determining a prediction strategy with the maximum profit according to the comprehensive profit model to serve as a hydrogen production power adjustment strategy.
In one embodiment, the predetermined strategy includes a strategy targeting full consumption of wind and light power generation and a strategy targeting a predetermined hydrogen production power. On the first hand, the simulation is directly carried out on the basis of the wind and light power generation amount obtained by prediction through operating a data simulation model, the hydrogen production condition of the target electrolytic cell in the hour is obtained, and the hydrogen selling income is obtained through calculation according to a comprehensive income model; comparing the wind and light power generation amount with a preset hydrogen production power, purchasing power from a power grid if the wind and light power generation amount is smaller than a required value of the preset hydrogen production power, determining hydrogen production income and electricity purchasing expenditure under the strategy through a comprehensive income model, and further calculating hydrogen selling income; and thirdly, selling electricity to the power grid if the wind-solar power generation amount is larger than the preset hydrogen production power, determining the hydrogen production income and the electricity selling income under the strategy through a comprehensive income model, and further adding to calculate the total income. And judging the profits of the three strategies, and selecting the strategy with the maximum profits as a hydrogen production power adjustment strategy.
Optionally, as shown in fig. 2, the determining the highest-yield electrolyzer operating strategy based on the wind-solar energy generation prediction model, the operating data simulation model and the comprehensive profit model as a hydrogen production power adjustment strategy comprises:
and step S410, obtaining the wind and light power generation amount at the target moment based on the wind and light power generation amount prediction model.
Step S420, judging the quantity relation between the wind-solar power generation amount and the hydrogen production load power at the target moment to obtain a first quantity relation, wherein the hydrogen production load power comprises a first hydrogen production load power, a second hydrogen production load power and a third hydrogen production load power.
And step S430, when the first quantity relation meets a first condition, judging the quantity relation between the wind-solar power generation and the second hydrogen production load power to obtain a second quantity relation, wherein the second hydrogen production load power is greater than or equal to the first hydrogen production load power, and the second hydrogen production load power is less than or equal to the third hydrogen production load power.
And S440, determining an optimal income strategy according to the second quantity relation, and using the optimal income strategy as the hydrogen production power adjustment strategy.
Specifically, the wind and light power generation amount at the target moment to be predicted is obtained through a wind and light power generation amount prediction model, and the value is compared with the preset hydrogen production load power to obtain a first quantity relation, wherein the first quantity relation comprises a value greater than, a value less than and a value equal to.
In one embodiment, after the wind and light power generation amount is predicted, whether the wind and light power generation amount is between the first hydrogen production load power and the third hydrogen production load power is judged, if yes, the first condition is met, the wind and light power generation amount is compared with the second hydrogen production load power, a second quantity relation is determined, and then which hydrogen production power adjustment strategy is selected based on the wind and light power generation amount in the time period is determined according to the second quantity relation. By subdividing the value of the hydrogen production load power, dividing different hydrogen production load power intervals by taking the first hydrogen production load power, the second hydrogen production load power and the third hydrogen production load power as boundaries, and when the wind and light power generation amount falls into different intervals, using different hydrogen production load power adjustment strategies to obtain the maximum benefit, reducing the wind and light abandoning amount as much as possible, and increasing the utilization rate of energy.
Optionally, the first hydrogen production load power represents a minimum load power of the target electrolysis cell, and the third hydrogen production load power represents a maximum load power of the target electrolysis cell.
Preferably, the first hydrogen production load power is the power corresponding to the hydrogen production load percentage of the target electrolytic cell of 20%; and the third hydrogen production load power is the corresponding power when the hydrogen production load percentage of the target electrolytic cell is 110%.
Optionally, as shown in fig. 5, after the determining the magnitude relationship between the wind-solar energy generation amount and the hydrogen production load power at the target time to obtain the first magnitude relationship, the method further includes:
step S450, when the first quantity relation meets a second condition, the target electrolytic cell is not started, and the electric energy generated by photovoltaic and wind is completely connected to the Internet to serve as the hydrogen production power adjustment strategy;
step S460, when the first quantity relation meets a third condition, adjusting the working power of the target electrolytic cell to the third hydrogen production load power, and connecting the rest electric energy to the Internet as the hydrogen production power adjustment strategy.
In another embodiment, when the wind-solar power generation is not between the first hydrogen-producing load power and the third hydrogen-producing load power, different strategies are implemented by steps S450 and S460 to maximize the use of the electrical energy from the wind-solar power generation.
Specifically, when the first quantity relation meets a second condition, that is, when the wind-solar power generation amount is smaller than the first hydrogen production load power, it indicates that the wind-solar power generation amount is too small at this time, electrolysis hydrogen production is not suitable, the target electrolytic cell is not started, all electric energy is completely connected to the internet to serve as a hydrogen production power adjustment strategy, the comprehensive benefit at this time, that is, the electricity selling benefit, is calculated, and the benefit at this time can be expressed as:
F 1 = pistaic (T) × g (T),
wherein, F 1 Representing the comprehensive hydrogen selling income, P wind and light (T) representing the small-scale wind and light generating capacity, and g (T) representing the electricity selling price model;
when the first quantity relation meets a third condition, namely when the wind-solar power generation amount is larger than the third hydrogen production load power, the wind-solar power generation amount is over large and exceeds the rated load power of the target electrolytic cell, the target electrolytic cell is controlled to electrolyze with the maximum power to produce hydrogen at the moment, the rest electric quantity is on line, the electricity selling and hydrogen production benefits at the moment are calculated, and the benefits at the moment can be expressed as:
F 4 ＝H*N*V+[P wind and light (T)-P(N)]*g(t)，
Wherein, F 4 Represents the integrated hydrogen sales revenue, and H represents the objectiveThe rated hydrogen production of the electrolytic cell, N represents the percentage of the maximum hydrogen production load, V represents the hydrogen selling unit price, and P (N) represents the hydrogen production power consumption.
Optionally, as shown in fig. 3, the comprehensive profit model includes an electricity purchase price model, an electricity sale price model and a hydrogen sale benefit model, and before the determining the highest-profit electrolyzer operating strategy as the hydrogen production power adjustment strategy based on the wind-solar energy generation amount prediction model, the operation data simulation model and the comprehensive profit model, the method further includes:
step S310, determining a power purchase price model based on the electricity transaction price, the electricity consumption price in the power transmission and distribution price, the electricity price floating proportion, the demand price and the additional value;
and S320, determining the hydrogen production load percentage at the target moment according to the operation data simulation model and the electricity purchasing price model, and determining the second hydrogen production load power according to the hydrogen production load percentage.
In one embodiment, since there are multiple calculation schemes and multiple price factors for buying electricity prices, the price model for buying electricity is built based on the price for buying electricity:
(1) single system price function: electricity selling price = (transaction price or agent electricity purchasing price + electricity degree price in electricity transmission and distribution price) × floating proportion + fund and addition;
(2) two power price functions: electricity selling price = (transaction price or agent electricity purchasing price + electricity degree price in electricity transmission and distribution price) × floating proportion + demand price in electricity transmission and distribution price + fund and addition.
The fund and the addition are funds and additional fees including renewable energy addition, urban public service addition and the like, and are generally fixed values, so that the change of the electricity selling price along with the peak-valley period is mainly the floating of the transaction price or the agent electricity purchasing price plus the electricity degree price in the electricity transmission and distribution price, and the corresponding floating proportion is multiplied according to a formula. The standard of the electricity price in the flat time interval is set to be 1, the electricity price in the peak time interval is 60% upward floating, and the electricity price in the valley time interval is 60% downward floating. The dynamic electricity price function of the electricity price sold every day is f (t), t is more than or equal to 0 and less than or equal to 23, and the electricity price in a flat period is s yuan/kWh;
the electricity purchase price model can be expressed as:
wherein peak period + valley period + flat period =24 hours.
In one embodiment, the electricity selling price model may be expressed as:
g(t)＝0.05 0≤t≤23。
in one embodiment, the hydrogen sales benefit model can be expressed as:
F(X)＝H*X*V，
wherein H represents the rated hydrogen production of the target electrolytic cell, V represents the hydrogen selling unit price, and X represents the hydrogen production load percentage of the target electrolytic cell.
In another embodiment, the electricity selling price is influenced by time, so for different time points, by setting different second hydrogen production load powers, a larger benefit can be obtained, the hydrogen production load power is converted into the hydrogen production load percentage, the load control of the target electrolytic cell can be simplified, and the power control precision of the target electrolytic cell can also be improved.
For example, the price of electricity purchased at night is lower than that during the day, so when the target time is night (electricity consumption valley period), the second hydrogen production load power at this time tends to be set to a higher value than the hydrogen production load power during the day, i.e., the strategy tends to purchase electricity to produce hydrogen; the price of electricity purchased during the day is higher, so the second hydrogen production load power tends to be set to a lower value at this time, so as to save the electricity purchase expenditure.
Optionally, as shown in fig. 4, the determining an optimal profit strategy according to the second quantity relation includes, as the hydrogen production power adjustment strategy:
step S441, calculating a first hydrogen production benefit of the wind-solar power generation amount according to the comprehensive benefit model;
step S442, calculating hydrogen production benefits according to the comprehensive benefit model within the range of the first hydrogen production load percentage and the third hydrogen production load percentage by taking a preset hydrogen production load percentage as a step length, and taking the maximum hydrogen production benefits as a second hydrogen production benefit, wherein the first hydrogen production load percentage is determined according to the first hydrogen production load power, and the second hydrogen production load percentage is determined according to the second hydrogen production load power;
step S443, judging whether the first hydrogen production benefit is greater than the second hydrogen production benefit;
and step S444, if the first hydrogen production benefit is larger than the second hydrogen production benefit, the hydrogen production load power corresponding to the wind and light power generation amount is used as the hydrogen production power adjustment strategy according to the operation data simulation model.
When the wind-solar power generation amount is larger than the first hydrogen production load percentage and smaller than the third hydrogen production load percentage, respectively calculating the corresponding benefits of three preset strategies, including:
(1) hydrogen is produced by using the current wind and light power generation amount to obtain a first hydrogen production income; (2) and calculating the cost of buying or selling electricity by the wind-solar power generation amount by taking the second hydrogen production load percentage as a reference, adding the cost and the hydrogen production profit to be used as the hydrogen production profit, on the basis, increasing or reducing the second hydrogen production load percentage by taking the preset hydrogen production load percentage as a step length, calculating the corresponding hydrogen production profit, comparing to obtain the maximum hydrogen production profit and the hydrogen production load percentage thereof, and taking the maximum hydrogen production profit as the second hydrogen production profit.
And comparing the first hydrogen production income with the second hydrogen production income, and taking the strategy with large income as the hydrogen production power adjustment strategy at the current moment.
For example, if the first hydrogen production load percentage is 20%, the third hydrogen production load percentage is 100%, and the preset hydrogen production load percentage is 3% at a certain time. According to the calculation of wind and light power generation, if the corresponding hydrogen production load percentage is 40%, hydrogen production is carried out by taking the current wind and light power generation as a whole, namely, the 40% is taken as the hydrogen production load percentage to calculate and obtain a first hydrogen production income corresponding to the moment; and taking 40% as an initial value and 3% as a step length, calculating hydrogen production benefits corresponding to different hydrogen production load percentages according to the electricity purchase price at the moment and the hydrogen production load power corresponding to different hydrogen production load percentages, and obtaining a second hydrogen production benefit. And comparing the first hydrogen production income with the second hydrogen production income so as to obtain the hydrogen production power adjustment strategy at the current moment.
Optionally, calculating hydrogen production profit according to the comprehensive profit model within the range of the first hydrogen production load power and the third hydrogen production load power by using a preset hydrogen production load percentage as a step length, and taking the maximum hydrogen production profit as a second hydrogen production profit includes:
judging whether the wind-solar power generation is larger than the second hydrogen production load power or not;
if not, increasing the hydrogen production load percentage by taking the preset hydrogen production load percentage as a step length, and calculating the hydrogen production benefit corresponding to each hydrogen production load percentage;
if yes, reducing the hydrogen production load percentage by taking the preset hydrogen production load percentage as a step length, and calculating the hydrogen production income corresponding to each hydrogen production load percentage.
In one embodiment, it is determined whether the wind-solar power generation is greater than the second hydrogen production load power, and if so, there are two strategies: (1) hydrogen production is carried out according to the second hydrogen production load percentage X, and the extra electric quantity of wind-solar power generation is used for power selling on the internet, so the comprehensive benefit of hydrogen production can be expressed as follows:
F 2 ＝H*X*V+[P wind and light (T)-P(X)]*g(t)，
Wherein, F 2 Represents the comprehensive hydrogen sale income, H represents the hydrogen production of the target electrolytic cell, V represents the hydrogen sale unit price, P Wind and light And (T) represents the wind-light power generation amount of a small level, P (X) represents the hydrogen production load power corresponding to the hydrogen production load percentage X, and g (T) represents an electricity selling price model.
(2) The preset hydrogen production load percentage is taken as the step length, the hydrogen production load percentage is increased to Y, and the green electricity generating capacity is ensured to be completely used for producing hydrogen, which can be expressed as:
P wind and light (T)＝P(Y)，
The comprehensive benefits of hydrogen production are:
F 3 ＝H*Y*V，
wherein, F 3 Representing integrated hydrogen sales revenueH represents the hydrogen production amount of the target electrolytic cell, and V represents the hydrogen selling unit price.
And comparing the hydrogen production strategy corresponding to the maximum hydrogen production benefit to be used as the hydrogen production power adjustment strategy at the current moment.
In another embodiment, it is determined whether the wind-solar power generation is greater than the second hydrogen production load power, and if so, there are two strategies: (1) hydrogen production is carried out according to the second hydrogen production load percentage X, insufficient electric quantity is bought by surfing the net, and then the comprehensive benefit of hydrogen production can be expressed as:
F 5 ＝H*X*V-[P(X)-P wind and light (T)]*f(t)，
Wherein, F 5 Represents the comprehensive hydrogen sale income, H represents the hydrogen production of the target electrolytic cell, V represents the hydrogen sale unit price, P Wind and light And (T) represents the wind-light power generation amount of a small-scale, P (X) represents the hydrogen production load power corresponding to the hydrogen production load percentage X, and f (T) represents the electricity purchasing price model.
(2) And (3) producing hydrogen by all the wind and light power generation quantities to obtain comprehensive hydrogen selling income, which can be expressed as:
F 6 ＝H*Z*V，
wherein, F 6 And H represents the comprehensive hydrogen selling income, H represents the hydrogen production of the target electrolytic cell, V represents the hydrogen selling unit price, and Z represents the hydrogen production load percentage corresponding to the wind-light power generation amount.
Optionally, when the comprehensive hydrogen selling income is the same, the strategy of making the hydrogen production load percentage larger is taken as the hydrogen production power adjustment strategy.
Optionally, the first condition comprises the wind-solar power generation being greater than or equal to the first hydrogen-producing load power and less than or equal to the third hydrogen-producing load power;
the second condition comprises the wind-light generation being less than the first hydrogen production load power;
the third condition includes the wind-solar power generation being greater than the third hydrogen-producing load power.
Optionally, the operational data includes electricity consumption data and hydrogen production data corresponding to the electricity consumption data.
Another embodiment of the present invention provides an electronic device, including a memory and a processor; the memory for storing a computer program; the processor is used for realizing the dynamic hydrogen production power regulation method based on wind-solar integration when executing the computer program.
Yet another embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the method for dynamic adjustment of hydrogen production power based on wind-solar grid connection as described above.
An electronic device that can be a server or a client of the present invention, which is an example of a hardware device that can be applied to aspects of the present invention, will now be described. Electronic device is intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
The electronic device includes a computing unit that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) or a computer program loaded from a storage unit into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the device can also be stored. The computing unit, the ROM, and the RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. In this application, the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the spirit and scope of the present disclosure, and these changes and modifications are intended to be within the scope of the present disclosure.
Claims (10)
1. A hydrogen production power dynamic adjustment method based on wind-solar grid connection is characterized by comprising the following steps:
establishing a wind-solar power generation amount prediction model;
obtaining operation data of a target electrolytic cell, and establishing an operation data simulation model according to the operation data;
establishing a comprehensive income model according to the energy price;
and determining an electrolysis bath operation strategy with the highest profit as a hydrogen production power adjustment strategy based on the wind-solar power generation amount prediction model, the operation data simulation model and the comprehensive profit model.
2. The method for dynamically adjusting the hydrogen production power based on wind-solar integration according to claim 1, wherein the step of determining the highest-income electrolytic cell operation strategy as the hydrogen production power adjustment strategy based on the wind-solar power generation amount prediction model, the operation data simulation model and the comprehensive income model comprises the following steps:
obtaining the wind and light power generation amount at a target moment based on the wind and light power generation amount prediction model;
judging the quantity relation between the wind-solar power generation amount and hydrogen production load power at the target moment to obtain a first quantity relation, wherein the hydrogen production load power comprises a first hydrogen production load power, a second hydrogen production load power and a third hydrogen production load power;
when the first quantity relation meets a first condition, judging the quantity relation between the wind-solar power generation and the second hydrogen production load power to obtain a second quantity relation, wherein the second hydrogen production load power is greater than or equal to the first hydrogen production load power, and the second hydrogen production load power is less than or equal to the third hydrogen production load power;
and determining an optimal income strategy according to the second quantity relation, and taking the optimal income strategy as the hydrogen production power regulation strategy.
3. The method for dynamically adjusting hydrogen production power based on wind-solar integration according to claim 2, wherein the comprehensive profit model comprises a power purchase price model, and before determining an electrolyzer operation strategy with highest profit as a hydrogen production power adjustment strategy based on the wind-solar power generation amount prediction model, the operation data simulation model and the comprehensive profit model, the method further comprises the following steps:
determining the electricity purchasing price model based on the electricity transaction price, the electricity degree price, the electricity price floating proportion, the demand price and the additional value in the transmission and distribution price;
and determining the hydrogen production load percentage at the target moment according to the operation data simulation model and the electricity purchasing price model, and determining the second hydrogen production load power according to the hydrogen production load percentage.
4. The method for dynamically adjusting the hydrogen production power based on wind-solar integration according to claim 3, wherein the determining an optimal profit strategy according to the second quantity relation comprises:
calculating a first hydrogen production benefit of the wind and light power generation amount according to the comprehensive benefit model;
calculating hydrogen production profit according to the comprehensive profit model within the range of the first hydrogen production load percentage and the third hydrogen production load percentage by taking a preset hydrogen production load percentage as a step length, and taking the maximum hydrogen production profit as a second hydrogen production profit, wherein the first hydrogen production load percentage is determined by the first hydrogen production load power, and the second hydrogen production load percentage is determined by the second hydrogen production load power;
determining whether the first hydrogen production benefit is greater than the second hydrogen production benefit;
and if the first hydrogen production benefit is greater than the second hydrogen production benefit, the hydrogen production load power corresponding to the wind and light power generation amount is used as the hydrogen production power adjustment strategy according to the operation data simulation model.
5. The method for dynamically adjusting the hydrogen production power based on the wind-solar integration according to claim 4, wherein the hydrogen production profit is calculated according to the comprehensive profit model within the range of the first hydrogen production load power and the third hydrogen production load power by taking a preset hydrogen production load percentage as a step length, and taking the maximum hydrogen production profit as a second hydrogen production profit comprises:
judging whether the wind-solar power generation is larger than the second hydrogen production load power;
if not, increasing the hydrogen production load percentage by taking the preset hydrogen production load percentage as a step length, and calculating the hydrogen production benefit corresponding to each hydrogen production load percentage;
if so, reducing the hydrogen production load percentage by taking the preset hydrogen production load percentage as a step length, and calculating the hydrogen production benefit corresponding to each hydrogen production load percentage.
6. The method for dynamically adjusting hydrogen generation power based on wind-solar integration according to claim 2, wherein after the determining the quantitative relation between the wind-solar power generation amount and the hydrogen generation load power at the target time and obtaining a first quantitative relation, the method further comprises:
when the first quantity relation meets a second condition, the target electrolytic cell is not started, and the electric energy generated by photovoltaic and wind is completely connected to the Internet to serve as the hydrogen production power adjustment strategy;
and when the first quantity relation meets a third condition, adjusting the working power of the target electrolytic cell to the third hydrogen production load power, and connecting the rest electric energy to the Internet as the hydrogen production power adjustment strategy.
7. The dynamic regulation method for hydrogen production power based on grid-wind power integration according to claim 6, characterized in that the first condition comprises that the wind-solar power generation amount is greater than or equal to the first hydrogen production load power and less than or equal to the third hydrogen production load power;
the second condition comprises the wind-light generation being less than the first hydrogen production load power;
the third condition includes the wind-solar power generation being greater than the third hydrogen-producing load power.
8. The dynamic regulation method for hydrogen production power based on wind-solar integration according to any one of claims 1 to 7, wherein the operation data comprises power consumption data and hydrogen production data corresponding to the power consumption data.
9. The method for dynamically adjusting the hydrogen production power based on wind-solar integration according to any one of claims 1 to 7, wherein the establishing of the wind-solar power generation amount prediction model comprises the following steps:
acquiring photovoltaic equipment parameter data and TMY data, wherein the photovoltaic equipment parameter data comprises component parameter data and inverter parameter data;
establishing a photovoltaic power generation capacity prediction model according to the photovoltaic equipment parameter data and the TMY data;
acquiring wind power equipment parameter data and wind resource data, wherein the wind power equipment parameter data comprise fan parameter data and wind field parameter data;
and establishing a wind power generation capacity prediction model according to the wind power equipment parameter data, wherein the wind power generation capacity prediction model comprises the photovoltaic power generation capacity prediction model and the wind power generation capacity prediction model.
10. The method for dynamically adjusting hydrogen generation power based on wind-solar integration according to claim 9, wherein the obtaining of the wind-solar power generation amount at the target moment according to the wind-solar power generation amount prediction model comprises:
obtaining the photovoltaic power generation amount of the target moment according to the photovoltaic power generation amount prediction model;
and obtaining the wind power generation amount at the target moment according to the wind power generation amount prediction model.
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