CN117474269A - Energy hub regulation and control method considering hydrogen-burning gas turbine technology coupling PEV - Google Patents
Energy hub regulation and control method considering hydrogen-burning gas turbine technology coupling PEV Download PDFInfo
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Abstract
The invention provides an energy hub regulation and control method for coupling PEVs by considering hydrogen-burning gas turbine technology, which comprises the following steps: s1, constructing a green hydrogen preparation model; s2, acquiring various equipment parameters for constructing an energy hub; s3, constructing a multi-objective optimization objective function for minimizing the total operation cost of the hub and the charge-discharge cost of the PEV; s4, constructing constraint conditions on minimizing the total operation cost of the hub and the charge-discharge cost of the PEV; and S5, constructing an energy hub optimization regulation model considering hydrogen-burning gas turbine technology coupling PEV, and solving by utilizing a solver to obtain an energy hub optimization regulation scheme. The method can solve the problem of high carbon emission of the energy hub caused by the traditional cogeneration unit, and ensures the economical efficiency of the operation of the hub.
Description
Technical Field
The invention relates to the field of energy hub optimization regulation, in particular to an energy hub regulation method considering hydrogen-burning gas turbine technology coupling PEV.
Background
In the field of energy hub regulation and control, a large amount of carbon dioxide isothermal chamber gas can be generated by burning fossil fuel in the power generation and heat generation process of a cogeneration unit, so that the low-carbon operation of the whole hub is not facilitated. Therefore, a new technology is needed to replace the original cogeneration technology.
Hydrogen-fired gas turbine technology is gradually being applied to power systems due to the cleanliness of its fuel hydrogen and natural gas. Meanwhile, the green hydrogen preparation technology using renewable energy to generate electricity as a power supply provides a sufficient hydrogen source for the hydrogen-burning gas turbine. And PEV (Pure electric Vehicle, PEV) is used as a movable load in the energy hub, and V2G (Vehicle-to-grid) technology is introduced to realize energy exchange with the energy hub. When the load demand in the hub is low, the electric energy generated by the hydrogen-burning gas turbine can be used for charging PEV; when the load demand in the hub is high, the hydrogen-burning gas turbine cannot meet the load demand in the system, so that a demand gap is caused, and the PEV can discharge into the hub by utilizing the V2G technology to fill the demand gap. Meanwhile, various energy storage devices and auxiliary heating devices are introduced, so that the safe and stable operation of the whole hub can be ensured.
Disclosure of Invention
The technical problem to be solved by the invention is to provide the energy hub regulation and control method considering the coupling of the hydrogen-burning gas turbine technology and the PEV, so that the problem of high carbon emission of the energy hub caused by the traditional cogeneration unit is solved, and the economical efficiency of the operation of the hub is ensured.
In order to solve the technical problems, the invention adopts the following technical scheme: an energy hub regulation and control method considering hydrogen-burning gas turbine technology coupling PEV comprises the following steps:
step S1, building a green hydrogen preparation model: on the premise of predicting renewable energy power generation, a green hydrogen preparation model is constructed;
step S2, acquiring energy hub parameters: on the basis of the established green hydrogen preparation model, acquiring various equipment parameters for constructing the energy hub;
step S3, constructing an objective function: constructing a multi-objective optimization objective function for minimizing the total operation cost of the hub and the charge and discharge cost of the PEV according to the various equipment parameters acquired in the step S2;
s4, constructing constraint conditions: constructing constraint conditions related to minimizing the total operation cost of the hub and the charge and discharge cost of the PEV, including electric and thermal power balance constraint and operation constraint of various devices;
s5, constructing an optimized regulation model: and (3) constructing an energy hub optimization regulation model considering the hydrogen-burning gas turbine technology coupling PEV according to the multi-objective optimization objective function constructed in the step (S3) and the constraint conditions constructed in the step (S4), and solving by utilizing a solver to obtain an optimization regulation scheme of the energy hub.
In the preferred scheme, in the step S1, firstly, renewable energy power generation and an upper-level power grid jointly provide electric energy for an electrolytic tank; secondly, the electrolytic tank electrolyzes water by using the injected electric energy to produce hydrogen; finally, the generated hydrogen is injected into an energy hub; the electrolyzer is used as the main hydrogen production equipment in a green hydrogen production model, and the model is as follows:
in the method, in the process of the invention,the running cost of the electrolytic tank at the moment t; beta ec The running cost coefficient of the electrolytic cell; />Inputting electric power for the time t of the electrolytic tank; />The hydrogen yield at the moment t of the electrolytic tank; τ is the conversion coefficient between the electric power and the hydrogen yield when the electrolyzer is used for hydrogen production; η (eta) ec Is the efficiency of the electrolytic cell;
cell efficiency eta ec The expression of (2) is as follows:
wherein a is 1 ～a 5 Is Faraday efficiency coefficient; t (T) ec Is the internal temperature of the electrolytic cell; i ec The direct current in the electrolytic tank is; s is S ec The area of the electrolytic module is the electrolytic tank.
In a preferred scheme, in the step S2, parameters of various devices in the energy hub are obtained, including parameters of a hydrogen-burning gas turbine, parameters of hydrogen storage devices, parameters of heat storage devices, parameters of fans and photovoltaic devices, and parameters of an electric boiler;
the parameters of the hydrogen-burning gas turbine comprise the operation cost of the hydrogen-burning gas turbine at the time tThe expression is as follows:
wherein beta is gt The unit operation cost of the hydrogen-burning gas turbine;the output electric power at the time t of the hydrogen-burning gas turbine;
the hydrogen storage device parameters comprise the running cost of the hydrogen storage tank at the moment tThe parameters, expressions are as follows:
wherein beta is hs The unit operation cost of the hydrogen storage tank;the electricity power is used for the time t of the hydrogen storage tank;
the heat storage equipment parameters comprise the running cost of the heat storage tank at the moment tAnd a heat storage state S ts The expression is as follows:
wherein beta is ts The unit operation cost of the heat storage tank;the heat energy stored at the moment of the heat storage tank t is used; h N Is the rated capacity of the heat storage tank; s is S ts The value of (2) is between 0 and 1;
the parameters of the fan and the photovoltaic equipment comprise the running cost of the fan and the photovoltaic equipment at the moment tAnd->The expression is as follows:
wherein beta is wt 、β pv The unit operation cost of the fan and the photovoltaic equipment is respectively;the output electric power of the fan and the photovoltaic equipment at the moment t are respectively;
the electric boiler parameters comprise the running cost of the electric boiler at the moment tAnd output thermal power +.>The expression is as follows:
wherein beta is eb The unit operation cost of the electric boiler; η (eta) eb The electric heating conversion efficiency of the electric boiler;the power is used for the electric boiler at the moment t.
In a preferred embodiment, the hydrogen storage device parameters further include in-tank pressure P hs And storage state S hs The expression is as follows:
S hs ＝P hs /P N
wherein q is hs Is the amount of hydrogen in the hydrogen storage tank; v (V) hs The volume of the hydrogen storage tank; r is R c Is an avogalileo constant; t is the internal temperature of the hydrogen storage tank; a. b is a proportionality coefficient; p (P) N Is the maximum pressure that can be borne by the hydrogen storage tank; s is S hs The value of (2) is between 0 and 1.
In a preferred embodiment, the parameters of the hydrogen-burning gas turbine further comprise the output electric power of the hydrogen-burning gas turbine at the time tAnd output thermal power +.>The expression is as follows:
wherein eta is gt The power generation efficiency of the hydrogen-burning gas turbine;the injection amount of hydrogen at the time t of the hydrogen-burning gas turbine; ρ is the heat-power ratio of the hydrogen-fired gas turbine, τ is the conversion coefficient between the hydrogen mass and the power generated when the hydrogen-fired gas turbine generates electricity.
In a preferred embodiment, the step S3 includes the following steps:
s301, constructing an objective function F1: the objective function F1 is to minimize the total operating costs, including the operating costs of the hydrogen-burning gas turbine at time tOperating costs of the hydrogen storage tank t>Operating cost of the thermal storage tank at time t>Operating cost of fan device at time t>Operating costs of the photovoltaic system at time t>Operating costs of the electric boiler at time t>And the cost of outsourcing energy of the system, the expression of which is as follows:
wherein T is s Is a scheduling period;the energy outward purchasing cost of the energy hub at the moment t; />The running cost of the electrolytic tank at the moment t;
s302, constructing an objective function F2: the objective function F2 is to minimize the charge and discharge cost of the PEV, and the expression is as follows:
wherein T is d Charging the electric automobile for a long time; n (N) s The number of the electric vehicles in the charging station; delta i The charging and discharging price of the ith electric automobile;the power is the interaction electric power between the ith electric automobile and the power grid, and the magnitude of the interaction electric power is the difference value between the electric power acquired by the PEV from the junction and the electric power released into the junction;
s303, constructing an objective function F: by introducing the weight coefficient alpha, the multi-objective function is converted into a single objective function to cope with different scenes, and the expression is as follows:
minF＝αF1+(1-α)F2
wherein F is a weighted objective function; alpha is a weight coefficient.
In a preferred scheme, in the step S4, constraint conditions of electric and thermal power balance constraint and operation constraint of various devices are as follows:
the constraints of the electric power balance constraint are as follows:
in the method, in the process of the invention,the output electric power at the moment t of the fan equipment is; />The output electric power at the moment t of the photovoltaic equipment is obtained;the interaction electric power between the energy hub t moment and the upper power grid is obtained; />The output electric power at the time t of the hydrogen-burning gas turbine; electric power charged from the hub and discharged into the hub at the PEVt time respectively; />Inputting electric power for the time t of the electrolytic tank; />The electricity power is used for the time t of the hydrogen storage tank; />The power consumption at the moment t of the heat storage tank; />The power is used for the electric boiler at the moment t; />The electric load in the hub at the moment t;
the constraints of the thermal power balance constraint are as follows:
in the method, in the process of the invention,the thermal load in the hub at time t; />The output heat power of the hydrogen-burning gas turbine at the moment t; />The output thermal power of the electric boiler at the moment t;
the constraint conditions of the operation constraint of the electrolytic cell are as follows:
in the method, in the process of the invention,inputting electric power for the time t of the electrolytic tank; p (P) ec,max Is the maximum power consumption of the electrolytic cell.
The constraint conditions of the operation constraint of the hydrogen-burning gas turbine are as follows:
in the method, in the process of the invention,the output electric power at the time t of the hydrogen-burning gas turbine; />The output heat power of the hydrogen-burning gas turbine at the moment t; p (P) gt,min 、P gt,max The minimum and maximum output electric power of the hydrogen-burning gas turbine are respectively; q (Q) gt,min 、Q gt,max The minimum and maximum output thermal power of the hydrogen-burning gas turbine are respectively;
the constraint conditions of the operation constraint of the hydrogen storage tank are as follows:
in the method, in the process of the invention,the electricity power is used for the time t of the hydrogen storage tank; p (P) hs,max Maximum electric power for the hydrogen storage tank;
the constraint conditions of the operation constraint of the heat storage tank are as follows:
in the method, in the process of the invention,the power consumption at the moment t of the heat storage tank; p (P) ts,max The maximum electric power of the heat storage tank;
the constraint conditions of the fan and the photovoltaic operation constraint are as follows:
in the method, in the process of the invention,the output electric power at the moment t of the fan equipment is; />The output electric power at the moment t of the photovoltaic equipment is obtained; p (P) wt,max 、P pv,max Maximum output electric power of the fan and the photovoltaic equipment respectively;
the constraint conditions of the operation constraint of the electric boiler are as follows:
in the method, in the process of the invention,the power is used for the electric boiler at the moment t; />The output thermal power of the electric boiler at the moment t; p (P) eb,max Maximum electric power for the electric boiler; q (Q) eb,max Is the maximum output thermal power of the electric boiler.
In a preferred embodiment, the step S4 further includes PEV charging and discharging constraints, where constraint conditions are as follows:
wherein, gamma c,max 、γ d,max The maximum charge and discharge rate coefficients of the PEV battery are respectively; omega shape BSS Is the total capacity of the PEV cell;the electrical power charged from and discharged into the hub at the time of PEVt, respectively.
In a preferred embodiment, the step S5 includes the following steps:
s501, model construction: the electric energy in the hub is generated from renewable energy sources and is supplied to an electrolytic tank and an electric power user in the hub, wherein the electric energy flowing to the electrolytic tank electrolyzes water to produce hydrogen, the produced hydrogen is used as fuel of a hydrogen-burning gas turbine, the rest part of the hydrogen-burning gas turbine is stored in a hydrogen storage tank, the electric energy produced by the hydrogen-burning gas turbine is transmitted to a power grid so as to ensure the electricity consumption requirements of equipment in the hub and a PEV charging station, and the heat energy produced by the hydrogen-burning gas turbine can be supplied to a thermal user in the hub and stored in a heat storage tank;
s502, solving a model: solving by using a CPLEX solver in MATLAB, firstly, inputting wind power and photovoltaic data in a hub and various equipment parameters in a system; secondly, inputting an objective function and constraint conditions; and finally, solving by a solver to obtain an optimized regulation scheme containing output data of various devices in the hub.
The energy hub regulation and control method considering the technical coupling PEV of the hydrogen-burning gas turbine provided by the invention has the following beneficial effects:
1. compared with the traditional hydrogen production mode, the green hydrogen production model provided by the invention effectively reduces the carbon emission of the system energy side by using green energy sources such as wind power, photovoltaics and the like as the electric energy source of the electrolytic tank.
2. According to the method, the parameters of various devices in the construction of the energy hub are obtained, and then modeling analysis is carried out on the various devices, so that the accuracy of the established energy hub model can be effectively improved, and the accurate modeling of the follow-up optimized regulation model is facilitated.
3. In the third step of the invention, when an objective function of an optimal regulation model is constructed, the total operation cost of the hub and the charge and discharge cost of the PEV are considered, and the weight coefficient is introduced to meet the optimization targets of a plurality of main bodies, so that the minimization of the operation cost of the whole hub is promoted.
4. In the energy hub optimization regulation model established in the step five, the hydrogen-burning gas turbine is introduced to replace the traditional cogeneration unit, and meanwhile, the V2G technology is introduced to realize energy interaction between the PEV and the hub, so that the economy and environmental protection of the operation of the hub can be effectively improved.
Drawings
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a framework diagram of an energy hub optimization regulation model that accounts for hydrogen-fired gas turbine technology coupled PEVs;
FIG. 3 is a system 24h electrical load curve;
fig. 4 is a system 24h thermal load curve.
Detailed Description
The specific embodiments of the present invention will be described in further detail with reference to fig. 1 to 4.
As shown in fig. 1, a method for regulating and controlling an energy hub of a PEV in consideration of hydrogen-gas turbine technology coupling, comprising the steps of:
step S1, building a green hydrogen preparation model: on the premise of predicting renewable energy power generation, a green hydrogen preparation model is constructed.
Because of the uncertainty of renewable energy power generation, the output of renewable energy power generation needs to be predicted to construct a green hydrogen preparation model. Firstly, renewable energy power generation and an upper power grid jointly provide electric energy for an electrolytic tank; secondly, the electrolytic tank electrolyzes water by using the injected electric energy to produce hydrogen; finally, the generated hydrogen is injected into an energy hub; the electrolyzer is used as the main hydrogen production equipment in a green hydrogen production model, and the model is as follows:
in the method, in the process of the invention,the running cost of the electrolytic tank at the moment t; beta ec The running cost coefficient of the electrolytic cell; />Inputting electric power for the time t of the electrolytic tank; />The hydrogen yield at the moment t of the electrolytic tank; τ is the conversion coefficient between the electric power and the hydrogen yield when the electrolyzer is used for hydrogen production; η (eta) ec Is the efficiency of the electrolytic cell.
Cell efficiency eta ec The expression of (2) is as follows:
wherein a is 1 ～a 5 Is Faraday efficiency coefficient; t (T) ec Is the internal temperature of the electrolytic cell; i ec The direct current in the electrolytic tank is; s is S ec The area of the electrolytic module is the electrolytic tank.
Step S2, acquiring energy hub parameters: on the basis of the established green hydrogen preparation model, various equipment parameters for constructing the energy hub are obtained.
Parameters of various devices in the energy hub are obtained, including parameters of a hydrogen-burning gas turbine, parameters of hydrogen storage devices, parameters of heat storage devices, parameters of fans and photovoltaic devices and parameters of an electric boiler.
1) Parameters of hydrogen-burning gas turbine
In order to realize the aim of low-carbon operation of the system, a hydrogen-burning gas turbine is introduced to replace the original cogeneration unit. The hydrogen-burning gas turbine can realize the mixed combustion of hydrogen and natural gas, is beneficial to reducing the carbon emission of a system, and meanwhile, the technology gradually transits to 100% hydrogen-burning ratio.
The parameters of the hydrogen-burning gas turbine comprise the operation cost of the hydrogen-burning gas turbine at the time tThe expression is as follows:
wherein beta is gt The unit operation cost of the hydrogen-burning gas turbine;the output electric power of the hydrogen-burning gas turbine at the time t.
The parameters of the hydrogen-burning gas turbine also comprise the output electric power of the hydrogen-burning gas turbine at the time tAnd output thermal power +.>The expression is as follows:
wherein eta is gt The power generation efficiency of the hydrogen-burning gas turbine;the injection amount of hydrogen at the time t of the hydrogen-burning gas turbine; ρ is the heat-power ratio of the hydrogen-fired gas turbine, τ is the conversion coefficient between the hydrogen mass and the power generated when the hydrogen-fired gas turbine generates electricity.
2) Hydrogen storage device parameters
When the electric heating load in the system is smaller, the hydrogen generated by the electrolysis of water in the electrolytic tank cannot be completely consumed, so that the hydrogen storage equipment is required to be introduced to store the redundant hydrogen. Meanwhile, the hydrogen storage equipment is introduced to realize the cross-season scheduling of hydrogen, so that the long-term hydrogen supply of the system is facilitated. In energy hubs, hydrogen storage tanks are often used to store excess hydrogen.
The hydrogen storage device parameters comprise the running cost of the hydrogen storage tank at the moment tThe parameters, expressions are as follows:
wherein beta is hs The unit operation cost of the hydrogen storage tank;the electric power is used at the moment t of the hydrogen storage tank.
The hydrogen storage device parameters also include in-tank pressure P hs And storage state S hs The expression is as follows:
S hs ＝P hs /P N
wherein q is hs Is the amount of hydrogen in the hydrogen storage tank; v (V) hs The volume of the hydrogen storage tank; r is R c Is an avogalileo constant; t is the internal temperature of the hydrogen storage tank; a. b is a proportionality coefficient; p (P) N Is the maximum pressure that can be borne by the hydrogen storage tank; s is S hs The value of (2) is between 0 and 1.
3) Parameters of heat storage equipment
When the heat load demand of the system is small, the heat energy generated by the electric boiler and the hydrogen-burning gas turbine cannot be completely consumed, so that the heat storage equipment is required to be introduced to store the surplus heat energy. In the construction of energy hinges, a thermal storage tank is often employed to store thermal energy.
The heat storage equipment parameters comprise the running cost of the heat storage tank at the moment tAnd a heat storage state S ts The expression is as follows:
wherein beta is ts The unit operation cost of the heat storage tank;the heat energy stored at the moment of the heat storage tank t is used; h N Is the rated capacity of the heat storage tank; s is S ts The value of (2) is between 0 and 1.
4) Blower and photovoltaic device parameters
In the energy hub, renewable energy power generation mainly comes from fans and photovoltaics. The parameters of the fan and the photovoltaic equipment comprise the running cost of the fan and the photovoltaic equipment at the moment tAnd->The expression is as follows:
wherein beta is wt 、β pv The unit operation cost of the fan and the photovoltaic equipment is respectively;the output electric power of the fan and the photovoltaic equipment at the moment t are respectively.
5) Parameters of electric boilers
In order to ensure the heat supply stability of the system when the heat load demand is large, an electric boiler is considered to be introduced to supplement the heat supply gap of the hydrogen-burning gas turbine.
The electric boiler parameters comprise the running cost of the electric boiler at the moment tAnd output thermal power +.>The expression is as follows:
wherein beta is eb The unit operation cost of the electric boiler; η (eta) eb The electric heating conversion efficiency of the electric boiler;the power is used for the electric boiler at the moment t.
Step S3, constructing an objective function: and (3) constructing a multi-objective optimization objective function for minimizing the total operation cost of the hub and the charge and discharge cost of the PEV according to the various equipment parameters acquired in the step (S2). Wherein, the objective function F1 is to minimize the total running cost, and the objective function F2 is to minimize the charge and discharge cost of the PEV. Finally, introducing weight coefficients converts the multi-objective function problem into a single-objective function problem.
The method specifically comprises the following steps:
s301, constructing an objective function F1:
the objective function F1 includes the operating cost of the hydrogen-burning gas turbine at time tOperating cost of hydrogen storage tank at time tOperating cost of the thermal storage tank at time t>Operating cost of fan device at time t>Operating costs of the photovoltaic system at time t>Operating costs of the electric boiler at time t>And the cost of outsourcing energy of the system, the expression of which is as follows:
wherein T is s Is a scheduling period;the energy outward purchasing cost of the energy hub at the moment t; />The running cost of the electrolytic tank at the time t.
S302, constructing an objective function F2:
the objective function F2 expression is:
wherein T is d Charging the electric automobile for a long time; n (N) s The number of the electric vehicles in the charging station; delta i The charging and discharging price of the ith electric automobile;the electric power is the interaction electric power between the ith electric automobile and the power grid, and the electric power is the difference value between the electric power acquired by the PEV from the hub and the electric power released into the hub.
S303, constructing an objective function F:
since a plurality of scenes are contained in the actual operation, the multi-objective function is converted into a single objective function by introducing the weight coefficient alpha to cope with different scenes, and the expression is as follows:
minF＝αF1+(1-α)F2
wherein F is a weighted objective function; alpha is a weight coefficient.
S4, constructing constraint conditions: constraints are constructed on minimizing the overall operation cost of the hub and the charge-discharge cost of the PEV, including electrical and thermal power balance constraints, and various device operation constraints.
The constraint conditions of the electric and thermal power balance constraint and the operation constraint of various devices are as follows:
1) Electric power balance constraint
In the method, in the process of the invention,the output electric power at the moment t of the fan equipment is; />The output electric power at the moment t of the photovoltaic equipment is obtained;the interaction electric power between the energy hub t moment and the upper power grid is obtained; />The output electric power at the time t of the hydrogen-burning gas turbine; electric power charged from the hub and discharged into the hub at the PEVt time respectively; />Inputting electric power for the time t of the electrolytic tank; />The electricity power is used for the time t of the hydrogen storage tank; />The power consumption at the moment t of the heat storage tank; />The power is used for the electric boiler at the moment t; />Is the electrical load in the hub at time t.
2) Thermal power balance constraint
In the method, in the process of the invention,the thermal load in the hub at time t; />The output heat power of the hydrogen-burning gas turbine at the moment t; />The output thermal power of the electric boiler at the time t.
3) Cell operation constraints
In the method, in the process of the invention,inputting electric power for the time t of the electrolytic tank; p (P) ec,max Is the maximum power consumption of the electrolytic cell.
4) Hydrogen-fired gas turbine operating constraints
In the method, in the process of the invention,the output electric power at the time t of the hydrogen-burning gas turbine; />The output heat power of the hydrogen-burning gas turbine at the moment t; p (P) gt,min 、P gt,max The minimum and maximum output electric power of the hydrogen-burning gas turbine are respectively; q (Q) gt,min 、Q gt,max The minimum and maximum output thermal powers of the hydrogen-burning gas turbine are respectively.
5) Hydrogen storage tank operating constraints
In the method, in the process of the invention,the electricity power is used for the time t of the hydrogen storage tank; p (P) hs,max Is the maximum electric power of the hydrogen storage tank.
6) Thermal storage tank operating constraints
In the method, in the process of the invention,the power consumption at the moment t of the heat storage tank; p (P) ts,max The maximum electric power of the heat storage tank.
7) Fan and photovoltaic operation constraint
In the method, in the process of the invention,the output electric power at the moment t of the fan equipment is; />The output electric power at the moment t of the photovoltaic equipment is obtained; p (P) wt,max 、P pv,max Maximum output electric power of the fan and the photovoltaic equipment respectively;
8) Electric boiler operation constraints
In the method, in the process of the invention,the power is used for the electric boiler at the moment t; />The output thermal power of the electric boiler at the moment t; p (P) eb,max Maximum electric power for the electric boiler; q (Q) eb,max Is the maximum output thermal power of the electric boiler.
9) The PEV charging and discharging constraint is also included, and the constraint conditions are as follows:
wherein, gamma c,max 、γ d,max The maximum charge and discharge rate coefficients of the PEV battery are respectively; omega shape BSS Is the total capacity of the PEV cell;the electrical power charged from and discharged into the hub at the time of PEVt, respectively.
S5, constructing an optimized regulation model: and (3) constructing an energy hub optimization regulation model considering the hydrogen-burning gas turbine technology coupling PEV according to the multi-objective optimization objective function constructed in the step (S3) and the constraint conditions constructed in the step (S4), and solving by utilizing a solver to obtain an optimization regulation scheme of the energy hub.
The method comprises the following steps:
s501, model construction: as shown in fig. 2, the electric energy in the hub is generated from renewable energy sources and supplied to the electrolysis tank and electric power users in the hub, wherein the electric energy flowing to the electrolysis tank electrolyzes water to produce hydrogen, the produced hydrogen is used as fuel of a hydrogen-burning gas turbine, the surplus part is stored in a hydrogen storage tank, the electric energy produced by the hydrogen-burning gas turbine is conveyed to a power grid to ensure the electricity consumption requirements of equipment in the hub and PEV charging stations, and the PEV charging stations introduce the V2G technology, so that PEV owners can release the electric energy into the power grid during peak load in the hub, and the heat energy produced by the hydrogen-burning gas turbine can be supplied to the thermal users in the hub and stored in the heat storage tank.
S502, solving a model: solving by using a CPLEX solver in MATLAB, firstly, inputting wind power and photovoltaic data in a hub and various equipment parameters in a system; secondly, inputting an objective function and constraint conditions; and finally, solving by a solver to obtain an optimized regulation scheme containing output data of various devices in the hub.
Examples
The adopted energy hinge optimization regulation and control framework is shown in fig. 2, wherein the electrolytic tank, the hydrogen storage tank and the hydrogen-burning gas turbine unit form a hydrogen energy storage unit. In this embodiment, the wind power installed capacity is 220kW, the photovoltaic power station capacity is 100kW, the charging and discharging power of the hydrogen energy storage unit is 200kW, the power of the electric boiler in the system is 100kW, and the capacity of the heat storage tank is 50kW. The electric vehicle load travel data in the examples is available from national family travel surveys (National Household Travel Survey, NHTS). The system time-of-use electricity prices are shown in table 1. The 24h electrical load profile within the system is shown in fig. 3, and the 24h thermal load profile is shown in fig. 4.
Table 1 System time-of-use price of electricity
/>
To further verify the effectiveness of the method, a comparative example was set for comparison.
Case 1: the invention provides an energy hub optimization regulation model, which is shown in figure 1.
Case 2: the hydrogen-fired gas turbine unit in fig. 1 is replaced by a cogeneration unit.
The results of the optimal control for both cases are shown in table 2.
TABLE 2 comparison of results of different case optimization controls
As can be seen from table 2, the overall operating cost of the process hub is lower, the renewable energy consumption is higher, and the carbon emissions costs are lower compared to case 2, i.e. compared to the comparative example. Therefore, the method provided by the invention has remarkable effects in reducing the carbon emission of the junction, improving the renewable energy consumption rate of the junction and improving the running economy of the system.
Claims (9)
1. The energy hub regulation and control method considering the technical coupling PEV of the hydrogen-burning gas turbine is characterized by comprising the following steps of:
step S1, building a green hydrogen preparation model: on the premise of predicting renewable energy power generation, a green hydrogen preparation model is constructed;
step S2, acquiring energy hub parameters: on the basis of the established green hydrogen preparation model, acquiring various equipment parameters for constructing the energy hub;
step S3, constructing an objective function: constructing a multi-objective optimization objective function for minimizing the total operation cost of the hub and the charge and discharge cost of the PEV according to the various equipment parameters acquired in the step S2;
s4, constructing constraint conditions: constructing constraint conditions related to minimizing the total operation cost of the hub and the charge and discharge cost of the PEV, including electric and thermal power balance constraint and operation constraint of various devices;
s5, constructing an optimized regulation model: and (3) constructing an energy hub optimization regulation model considering the hydrogen-burning gas turbine technology coupling PEV according to the multi-objective optimization objective function constructed in the step (S3) and the constraint conditions constructed in the step (S4), and solving by utilizing a solver to obtain an optimization regulation scheme of the energy hub.
2. The energy hub control method considering hydrogen-burning gas turbine technology coupling PEV according to claim 1, wherein in step S1, firstly, the renewable energy power generation and the upper grid supply electric energy to the electrolyzer together; secondly, the electrolytic tank electrolyzes water by using the injected electric energy to produce hydrogen; finally, the generated hydrogen is injected into an energy hub; the electrolyzer is used as the main hydrogen production equipment in a green hydrogen production model, and the model is as follows:
in the method, in the process of the invention,the running cost of the electrolytic tank at the moment t; beta ec The running cost coefficient of the electrolytic cell; />Inputting electric power for the time t of the electrolytic tank; />The hydrogen yield at the moment t of the electrolytic tank; τ is the conversion coefficient between the electric power and the hydrogen yield when the electrolyzer is used for hydrogen production; η (eta) ec Is the efficiency of the electrolytic cell;
cell efficiency eta ec The expression of (2) is as follows:
wherein a is 1 ～a 5 Is Faraday efficiency coefficient; t (T) ec Is the internal temperature of the electrolytic cell; i ec The direct current in the electrolytic tank is; s is S ec The area of the electrolytic module is the electrolytic tank.
3. The method for regulating and controlling the energy hub by considering the technical coupling of the hydrogen-burning gas turbine and the PEV according to claim 1, wherein in the step S2, the parameters of various devices in the energy hub are obtained, including the parameters of the hydrogen-burning gas turbine, the parameters of the hydrogen storage device, the parameters of the heat storage device, the parameters of the fan and the photovoltaic device and the parameters of the electric boiler;
the parameters of the hydrogen-burning gas turbine comprise the operation cost of the hydrogen-burning gas turbine at the time tThe expression is as follows:
wherein, beta gt is the unit operation cost of the hydrogen-burning gas turbine;the output electric power at the time t of the hydrogen-burning gas turbine;
the hydrogen storage device parameters comprise the running cost of the hydrogen storage tank at the moment tThe parameters, expressions are as follows:
wherein, beta hs is the unit operation cost of the hydrogen storage tank;the electricity power is used for the time t of the hydrogen storage tank;
the heat storage equipment parameters comprise the running cost of the heat storage tank at the moment tAnd a heat storage state S ts The expression is as follows:
wherein beta is ts The unit operation cost of the heat storage tank;for storing the time t of the heat-accumulating tankHeat energy; h N Is the rated capacity of the heat storage tank; s is S ts The value of (2) is between 0 and 1;
the parameters of the fan and the photovoltaic equipment comprise the running cost of the fan and the photovoltaic equipment at the moment tAnd->The expression is as follows:
wherein beta is wt 、β pv The unit operation cost of the fan and the photovoltaic equipment is respectively;the output electric power of the fan and the photovoltaic equipment at the moment t are respectively;
the electric boiler parameters comprise the running cost of the electric boiler at the moment tAnd output thermal power +.>The expression is as follows:
wherein beta is eb The unit operation cost of the electric boiler; η (eta) eb The electric heating conversion efficiency of the electric boiler;the power is used for the electric boiler at the moment t.
4. The method of claim 3, wherein the hydrogen storage device parameters further comprise in-tank pressure P hs And storage state S hs The expression is as follows:
S hs ＝P hs /P N N
wherein q is hs Is the amount of hydrogen in the hydrogen storage tank; v (V) hs The volume of the hydrogen storage tank; r is R c Is an avogalileo constant; t is the internal temperature of the hydrogen storage tank; a. b is a proportionality coefficient; p (P) N Is the maximum pressure that can be borne by the hydrogen storage tank; s is S hs The value of (2) is between 0 and 1.
5. The method for regulating and controlling an energy hub in consideration of a hydrogen-gas turbine technology coupled PEV according to claim 3, wherein the parameters of the hydrogen-gas turbine further comprise the output electric power of the hydrogen-gas turbine at time tAnd output thermal power +.>The expression is as follows:
wherein eta is gt The power generation efficiency of the hydrogen-burning gas turbine;the injection amount of hydrogen at the time t of the hydrogen-burning gas turbine; ρ is the heat-to-power ratio of the hydrogen-fired gas turbine; τ is a conversion coefficient between the hydrogen mass and the generated power when the hydrogen-fired gas turbine generates electricity.
6. The method for regulating and controlling the energy resource hub of the PEV in consideration of the technical coupling of the hydrogen-burning gas turbine according to claim 1, wherein the step S3 comprises the following steps:
s301, constructing an objective function F1: the objective function F1 is to minimize the total operating costs, including the operating costs of the hydrogen-burning gas turbine at time tOperating costs of the hydrogen storage tank t>Operating cost of the thermal storage tank at time t>Operating cost of fan device at time t>Operating costs of the photovoltaic system at time t>Operating costs of the electric boiler at time t>And the cost of outsourcing energy of the system, the expression of which is as follows:
wherein T is s Is a scheduling period;the energy outward purchasing cost of the energy hub at the moment t; />The running cost of the electrolytic tank at the moment t;
s302, constructing an objective function F2: the objective function F2 is to minimize the charge and discharge cost of the PEV, and the expression is as follows:
wherein T is d Charging the electric automobile for a long time; n (N) s The number of the electric vehicles in the charging station; delta i The charging and discharging price of the ith electric automobile; p (P) i car The power is the interaction electric power between the ith electric automobile and the power grid, and the magnitude of the interaction electric power is the difference value between the electric power acquired by the PEV from the junction and the electric power released into the junction;
s303, constructing an objective function F: by introducing the weight coefficient alpha, the multi-objective function is converted into a single objective function to cope with different scenes, and the expression is as follows:
min F＝αF1+(1-α)F2
wherein F is a weighted objective function; alpha is a weight coefficient.
7. The energy hub control method considering hydrogen-gas turbine technology coupling PEV according to claim 1, wherein in step S4, the constraint conditions of the electric and thermal power balance constraint and the operation constraint of various devices are as follows:
the constraints of the electric power balance constraint are as follows:
in the method, in the process of the invention,the output electric power at the moment t of the fan equipment is; />The output electric power at the moment t of the photovoltaic equipment is obtained; />The interaction electric power between the energy hub t moment and the upper power grid is obtained; />The output electric power at the time t of the hydrogen-burning gas turbine; /> Respectively charging and discharging electric power from the hub at PEV t moment; />Inputting electric power for the time t of the electrolytic tank; />The electricity power is used for the time t of the hydrogen storage tank; />The power consumption at the moment t of the heat storage tank; />The power is used for the electric boiler at the moment t; />The electric load in the hub at the moment t;
the constraints of the thermal power balance constraint are as follows:
in the method, in the process of the invention,the thermal load in the hub at time t; />The output heat power of the hydrogen-burning gas turbine at the moment t; />The output thermal power of the electric boiler at the moment t;
the constraint conditions of the operation constraint of the electrolytic cell are as follows:
in the method, in the process of the invention,inputting electric power for the time t of the electrolytic tank; p (P) ec,max Is the maximum power consumption of the electrolytic cell.
The constraint conditions of the operation constraint of the hydrogen-burning gas turbine are as follows:
in the method, in the process of the invention,the output electric power at the time t of the hydrogen-burning gas turbine; />The output heat power of the hydrogen-burning gas turbine at the moment t; p (P) gt,min 、P gt,max The minimum and maximum output electric power of the hydrogen-burning gas turbine are respectively; q (Q) gt,min 、Q gt,max The minimum and maximum output thermal power of the hydrogen-burning gas turbine are respectively;
the constraint conditions of the operation constraint of the hydrogen storage tank are as follows:
in the method, in the process of the invention,the electricity power is used for the time t of the hydrogen storage tank; p (P) hs,max Maximum electric power for the hydrogen storage tank;
the constraint conditions of the operation constraint of the heat storage tank are as follows:
in the method, in the process of the invention,the power consumption at the moment t of the heat storage tank; p (P) ts,max The maximum electric power of the heat storage tank;
the constraint conditions of the fan and the photovoltaic operation constraint are as follows:
in the method, in the process of the invention,the output electric power at the moment t of the fan equipment is; />The output electric power at the moment t of the photovoltaic equipment is obtained; p (P) wt,max 、P pv,max Maximum output electric power of the fan and the photovoltaic equipment respectively;
the constraint conditions of the operation constraint of the electric boiler are as follows:
in the method, in the process of the invention,the power is used for the electric boiler at the moment t; />The output thermal power of the electric boiler at the moment t; p (P) eb,max Maximum electric power for the electric boiler; q (Q) eb,max Is the maximum output thermal power of the electric boiler.
8. The energy hub control method considering coupling of hydrogen turbine technology to PEV according to claim 7, wherein the step S4 further includes PEV charging and discharging constraints, and the constraints are as follows:
wherein, gamma c,max 、γ d,max The maximum charge and discharge rate coefficients of the PEV battery are respectively; omega shape BSS Is the total capacity of the PEV cell;the electrical power charged from and discharged into the hub at the time of PEVt, respectively.
9. The method for regulating and controlling the energy resource hub of the PEV in consideration of the technical coupling of the hydrogen-burning gas turbine according to claim 1, wherein the step S5 comprises the following steps:
s501, model construction: the electric energy in the hub is generated from renewable energy sources and is supplied to an electrolytic tank and an electric power user in the hub, wherein the electric energy flowing to the electrolytic tank electrolyzes water to produce hydrogen, the produced hydrogen is used as fuel of a hydrogen-burning gas turbine, the rest part of the hydrogen-burning gas turbine is stored in a hydrogen storage tank, the electric energy produced by the hydrogen-burning gas turbine is transmitted to a power grid so as to ensure the electricity consumption requirements of equipment in the hub and a PEV charging station, and the heat energy produced by the hydrogen-burning gas turbine can be supplied to a thermal user in the hub and stored in a heat storage tank;
s502, solving a model: solving by using a CPLEX solver in MATLAB, firstly, inputting wind power and photovoltaic data in a hub and various equipment parameters in a system; secondly, inputting an objective function and constraint conditions; and finally, solving by a solver to obtain an optimized regulation scheme containing output data of various devices in the hub.
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