CN114861546A - Electric heating hydrogen multi-energy complementary scheduling method and system based on hydrogen-fired gas turbine - Google Patents
Electric heating hydrogen multi-energy complementary scheduling method and system based on hydrogen-fired gas turbine Download PDFInfo
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Abstract
The invention relates to an electric heating hydrogen multi-energy complementary scheduling method and system based on a hydrogen combustion gas turbine, wherein the method comprises the following steps: constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy form of the multi-energy complementary system comprises hydrogen energy and other energy sources; respectively establishing mathematical models of all devices in the multi-energy complementary system; based on each mathematical model, establishing a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives; determining constraint conditions of system optimization scheduling; and solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system. The invention fully utilizes the space-time complementary characteristics of the multi-energy complementary system and the capability of conversion among different energy forms, has the peak regulation advantage, and realizes the cleanness and high efficiency in the true sense by utilizing the hydrogen energy.
Description
Technical Field
The invention relates to the technical field of power system scheduling, in particular to an electric heating hydrogen multi-energy complementary scheduling method and system based on a hydrogen-fired gas turbine.
Background
Because the new energy power generation has random fluctuation and anti-peak regulation characteristics, after large-scale grid connection, peak regulation burden of thermal power and thermoelectric units is increasingly increased, a large amount of wind and light are abandoned, and a power system faces increasingly serious peak regulation and new energy consumption problems.
Under the existing technical conditions, the peak regulation capacity of the system can be improved by configuring energy storage, and further new energy consumption is promoted, wherein electrochemical energy storage is the most widely applied energy storage form, but the electric energy storage performance is poor, and the system scheduling is not flexible after the electrochemical energy storage is applied to an electric power system.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an electric heat hydrogen multi-energy complementary scheduling method and system based on a hydrogen-fired gas turbine.
In order to achieve the purpose, the invention provides the following scheme:
a multi-energy complementary scheduling method of electric heat hydrogen based on a hydrogen-fired gas turbine comprises the following steps:
constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy forms of the multi-energy complementary system comprise electric energy, heat energy, wind energy, light energy and hydrogen energy;
respectively establishing a mathematical model of each device in the multi-energy complementary system;
based on each mathematical model, establishing a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives;
determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, heat energy storage capacity constraint and unit output constraint;
and solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system.
Preferably, the control strategy comprises:
starting a hydrogen energy storage unit in the multi-energy complementary system to produce hydrogen when the multi-energy complementary system has a wind abandoning or low electricity price valley period by using the acquired time-of-use electricity price data and wind power internet data;
and at the load peak time, scheduling the hydrogen energy storage unit to generate power according to optimization calculation, and starting a heat energy storage device in the multi-energy complementary system to store heat when the heat supply of a hydrogen-fired gas turbine unit in the multi-energy complementary system is greater than the heat load demand.
Preferably, the equipment of the multi-energy complementary system comprises a superior power grid, a heat supply network, distributed photovoltaic, wind power, a hydrogen energy storage unit, an electric boiler, a heat energy storage and load demand side; the hydrogen energy storage unit comprises an electrolytic cell, a hydrogen storage tank and a hydrogen-burning gas turbine unit.
Preferably, the respectively establishing a mathematical model of each device in the multi-energy complementary system includes:
establishing a pure condensation power unit model of the superior power grid; the pure condensation power unit model is
Wherein, F CON The coal consumption of the pure condensation thermal power generating unit is obtained; p CON The electric power is the electric power of the pure condensation power generating unit; a is 0 、a 1 And a 2 Fitting coefficients of pure condensation thermal power generating units are all obtained;
establishing a thermal motor set model of the heat supply network; the thermoelectric generator set model is
Wherein, F CHP The coal consumption of the thermoelectric unit; p CHP Electric power of the thermoelectric generator set; d is the heat supply steam extraction quantity of the thermoelectric unit; b 0 、b 1 、b 2 、b 3 、b 4 And b 5 Fitting coefficients of all thermoelectric units are obtained; q CHP The thermal power of the thermoelectric unit; Δ H is the steam enthalpy drop;
establishing a hydrogen energy storage model of the hydrogen energy storage unit; the hydrogen energy storage model is
Wherein the content of the first and second substances,
hydrogen production for time period t; epsilon is an electro-hydrogen conversion coefficient; eta EH The efficiency of the cell;
input electric power of the electrolytic cell for a period t;
the hydrogen storage amount of the hydrogen storage tank is respectively in the t period and the t-1 period;
the input quantity and the output quantity of the hydrogen storage tank in the period t are respectively; eta HS The hydrogen storage efficiency of the hydrogen storage tank;
the output electric power and the heat supply quantity of the hydrogen combustion gas turbine in the time period t are respectively; eta GT The power generation efficiency of the hydrogen-combustion gas turbine is obtained; rho is the thermoelectric ratio of the hydrogen-burning gas turbine;
establishing a boiler model of the electric boiler; the boiler model of the electric boiler is
Wherein the content of the first and second substances,
the power consumption and the heat production power of the electric boiler in the t period are respectively; delta is the electrothermal conversion coefficient eta EB The heat generating efficiency of the electric boiler.
Preferably, the system optimization scheduling objective function is
Wherein F is the total coal consumption of the multi-energy complementary system; u, V the number of pure condensing units and thermoelectric units;
for the u th station of t periodCoal consumption of the straight condensing thermal power generating unit;
the coal consumption of the vth thermoelectric unit in the t period;
the wind curtailment power is t time period; lambda is a wind curtailment penalty coefficient; t is the total time period number of a scheduling period; Δ t is the time interval of one scheduling period.
Preferably, the determining the constraint condition of the system optimized scheduling includes:
constructing the power balance constraint; the power balance constraint is
Wherein, the first and the second end of the pipe are connected with each other,
the electric power of the u-th straight condensing unit in the t period;
the electric power of the v-th thermoelectric power unit of the thermal power plant in the time period t;
the wind power grid-connected power is the wind power grid-connected power in the time period t;
photovoltaic power for a period t;
the total load of power supply for the time period t;
the thermal power of the v-th thermoelectric unit of the thermal power plant is in the period of t; r is the number of heat exchange stations;
for a period t the heat load of the r-th heat exchange station,GJ/h；
the storage and release power of the thermal energy storage device is t time period; zeta TS The heat storage and release state of the heat energy storage device is 0 or 1;
constructing the operation constraint of the hydrogen energy storage unit; the hydrogen energy storage unit is constrained in operation by
Wherein, P EH,max The maximum electric power of the electrolytic cell;
the input power variation of the electrolytic cell in the t period; delta P EH,max 、ΔP EH,min Respectively the maximum value and the minimum value of the climbing rate of the electrolytic cell; w HS,max The maximum hydrogen storage capacity of the hydrogen storage tank;
the allowance of the hydrogen storage tank in the time period t; r HS,max 、R HS,min Respectively the maximum value and the minimum value of the hydrogen storage tank allowance; p GT,max 、P GT,min The maximum output and the minimum output of the hydrogen-burning gas turbine are respectively;
building the electric boiler power constraint; the electric boiler power constraint is as follows:
constructing output constraints of the unit; the unit output constraint is
Wherein, P CON,max 、P CON,min The maximum output and the minimum output of the straight condensing unit are respectively; d max 、D min The maximum and minimum steam extraction quantities of the thermoelectric unit are respectively; p CHP,max (D)、P CHP,min (D) The maximum output and the minimum output of the thermoelectric unit are respectively; q CHP,max The upper limit of the thermal output of the thermoelectric unit is; p W,max And predicting output for wind power.
Preferably, solving the system optimization scheduling objective function includes:
and solving the system optimization scheduling objective function by adopting a particle swarm optimization algorithm in a swarm intelligent optimization algorithm based on MATLAB simulation software.
An electric heat hydrogen multi-energy complementary scheduling system based on a hydrogen-fired gas turbine comprises:
the system construction module is used for constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy forms of the multi-energy complementary system comprise electric energy, heat energy, wind energy, light energy and hydrogen energy;
the model establishing module is used for respectively establishing mathematical models of all devices in the multi-energy complementary system;
the function building module is used for building a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives based on the mathematical models;
the constraint determining module is used for determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, heat energy storage capacity constraint and unit output constraint;
and the scheduling module is used for solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides an electric heat hydrogen multi-energy complementary scheduling method and system based on a hydrogen-fired gas turbine, wherein the method comprises the following steps: constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy forms of the multi-energy complementary system comprise electric energy, heat energy, wind energy, light energy and hydrogen energy; respectively establishing mathematical models of all devices in the multi-energy complementary system; based on each mathematical model, establishing a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives; determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, heat energy storage capacity constraint and unit output constraint; and solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system. The invention fully utilizes the space-time complementary characteristics of the multi-energy complementary system and the capability of conversion among different energy forms, and utilizes the hydrogen energy storage unit based on the hydrogen-fired gas turbine in the specific embodiment, thereby having the peak regulation advantage, and the system also shows higher new energy consumption level, thereby realizing the cleanness and high efficiency in the true sense.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a flowchart of a scheduling method in an embodiment provided by the present invention;
FIG. 2 is a flow chart of steps in an embodiment provided by the present invention;
FIG. 3 is a control strategy diagram of an electro-thermal hydrogen multi-energy complementation system in an embodiment of the invention;
FIG. 4 is a schematic diagram of an improved IEEE14 node system in an embodiment provided by the present invention
FIG. 5 is a schematic diagram of predicted output of new energy sources according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of load forecast power in an embodiment provided by the present invention;
FIG. 7 is a schematic illustration of input/output power of a hydrogen energy storage unit in an embodiment provided by the present invention;
fig. 8 is a schematic diagram of the hydrogen storage amount of the hydrogen energy storage unit in the embodiment provided by the invention;
FIG. 9 is a schematic diagram of an electrochemical energy storage cell according to an embodiment of the present invention;
fig. 10 is a schematic diagram comparing wind power output in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, the inclusion of a list of steps, processes, methods, etc. is not limited to only those steps recited, but may alternatively include additional steps not recited, or may alternatively include additional steps inherent to such processes, methods, articles, or devices.
The invention aims to provide an electric heating hydrogen multi-energy complementary scheduling method and system based on a hydrogen-fired gas turbine, which can realize effective consumption of surplus wind and light and release of system peak regulation pressure.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 and fig. 2 are a flowchart and a step flowchart of a scheduling method in an embodiment provided by the present invention, and as shown in fig. 1 and fig. 2, the present invention provides an electric heat hydrogen multi-energy complementary scheduling method based on a hydrogen-combustion gas turbine, which includes:
step 100: constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy forms of the multi-energy complementary system comprise electric energy, heat energy, wind energy, light energy and hydrogen energy;
step 200: respectively establishing mathematical models of all devices in the multi-energy complementary system;
step 300: based on each mathematical model, establishing a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives;
step 400: determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, heat energy storage capacity constraint and unit output constraint;
step 500: and solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system.
Preferably, the control strategy comprises:
starting a hydrogen energy storage unit in the multi-energy complementary system to produce hydrogen when the multi-energy complementary system has a wind abandoning or low electricity price valley period by using the acquired time-of-use electricity price data and wind power internet data;
and at the load peak time, scheduling the hydrogen energy storage unit to generate power according to optimization calculation, and starting a heat energy storage device in the multi-energy complementary system to store heat when the heat supply of a hydrogen-fired gas turbine unit in the multi-energy complementary system is greater than the heat load demand.
Fig. 2 is a control strategy diagram of an electric heating hydrogen multi-energy complementary system in an embodiment provided by the present invention, and as shown in fig. 2, devices of the multi-energy complementary system include a superior power grid, a heat supply network, distributed photovoltaic, wind power, a hydrogen energy storage unit, an electric boiler, a heat energy storage and load demand side; the hydrogen energy storage unit comprises an electrolytic cell, a hydrogen storage tank and a hydrogen-burning gas turbine unit. The control strategy comprises the following steps: by utilizing a time-of-use electricity price policy and acquired wind power online data, starting a hydrogen energy storage unit to produce hydrogen when the system has a period of wind abandonment or low electricity price (at the moment, hydrogen is produced by an electrolytic cell and stored in a hydrogen storage tank, and a hydrogen-burning gas turbine unit does not act), and simultaneously heating by an electric boiler; in the load peak period, the system dispatches the hydrogen energy storage unit to generate electricity according to the optimization calculation (at the moment, the hydrogen-fired gas turbine unit generates electricity according to the mode of 'fixing heat by electricity', the electrolytic bath does not act), and when the heat supply of the hydrogen-fired gas turbine unit is more than the heat load demand, the system starts the heat energy storage device to store heat; the hydrogen energy storage unit is in a static state for the rest of the time.
Preferably, the respectively establishing a mathematical model of each device in the multi-energy complementary system includes:
establishing a pure condensation power unit model of the superior power grid; the pure condensation power unit model is
Wherein, F CON The coal consumption of the pure condensation thermal power generating unit is t/h; p CON The electric power is the electric power of the pure condensation power generating unit; a is 0 、a 1 And a 2 Fitting coefficients of pure condensation thermal power generating units are all obtained;
establishing a thermal motor set model of the heat supply network; the thermoelectric generator set model is
Wherein, F CHP The coal consumption of the thermoelectric unit is t/h; p CHP Is heatThe electric power of the motor group; d is the heat supply steam extraction quantity of the thermoelectric unit; b 0 、b 1 、b 2 、b 3 、b 4 And b 5 Fitting coefficients of all thermoelectric units are obtained; q CHP The thermal power of the thermoelectric unit; Δ H is the steam enthalpy drop;
establishing a hydrogen energy storage model of the hydrogen energy storage unit; the hydrogen energy storage model is
Wherein the content of the first and second substances,
hydrogen production at time t; epsilon is an electro-hydrogen conversion coefficient; eta EH The efficiency of the electrolytic cell;
input electric power of the electrolytic cell for a period t;
the hydrogen storage amount of the hydrogen storage tank is respectively in the t period and the t-1 period;
the input quantity and the output quantity of the hydrogen storage tank in the period t are respectively; eta HS The hydrogen storage efficiency of the hydrogen storage tank;
the output electric power and the heat supply quantity of the hydrogen combustion gas turbine in the time period t are respectively; eta GT The power generation efficiency of the hydrogen-combustion gas turbine is obtained; rho is the thermoelectric ratio of the hydrogen combustion gas turbine;
establishing a boiler model of the electric boiler; the boiler model of the electric boiler is
Wherein the content of the first and second substances,
the power consumption and the heat production power of the electric boiler in the t period are respectively; delta isCoefficient of electric heat conversion, η EB The heat generating efficiency of the electric boiler.
Specifically, in the second step of this embodiment, mathematical models of each device in the electric hydrogen heating multi-energy complementary system are respectively established, and optionally, the pure condensation power unit model of the upper-level power grid is as follows:
wherein, F CON The coal consumption of the pure condensation thermal power generating unit is t/h; p is CON The electric power is the electric power of a pure condensation power generating unit, MW; a is a 0 ～a 2 Are fitting coefficients.
Optionally, the model of the thermoelectric generator set of the heat supply network is as follows:
wherein, F CHP The coal consumption of the thermoelectric unit is t/h; p CHP Electric power of the thermoelectric generator set, MW; d is the heat supply steam extraction amount of the thermoelectric unit, t/h; b 0 ～b 5 Is a fitting coefficient; q CHP The thermal power of the thermoelectric unit; Δ H is the steam enthalpy drop, kJ/kg.
Optionally, the hydrogen energy storage unit model is as follows:
wherein the content of the first and second substances,
hydrogen production at time t, Nm 3 H; ε is the electro-hydrogen conversion coefficient, Nm 3 /(MW·h)；η EH The efficiency of the cell;
input electric power of the electrolytic cell for a period t;
the hydrogen storage amount of the hydrogen storage tank is respectively in the t period and the t-1 period;
the input quantity and the output quantity of the hydrogen storage tank in the period t are respectively; eta HS The hydrogen storage efficiency of the hydrogen storage tank;
the output electric power and the heat supply quantity of the hydrogen combustion gas turbine in the time period t are respectively; eta GT The power generation efficiency of the hydrogen-combustion gas turbine is obtained; ρ is the thermoelectric ratio of the hydrogen-fired gas turbine.
Optionally, the electric boiler model is:
wherein, the first and the second end of the pipe are connected with each other,
the power consumption and the heat production power of the electric boiler in the t period are respectively; delta is the electrothermal conversion coefficient eta EB The heat generating efficiency of the electric boiler.
Preferably, the system optimization scheduling objective function is
Wherein F is the total coal consumption of the multi-energy complementary system; u, V the number of pure condensing units and thermoelectric units;
the coal consumption of the u-th pure condensation thermal power unit in the t period is shown;
the coal consumption of the vth thermoelectric unit in the t period;
the wind curtailment power is t time period; lambda is a wind curtailment penalty coefficient; t is the total time period number of a scheduling period; Δ t is the time interval of one scheduling period.
Specifically, the third step of this embodiment is to establish an optimal scheduling objective function of the electric-thermal-hydrogen multi-energy complementary system based on the mathematical models of the devices, where the minimum total coal consumption and the maximum wind curtailment consumption of the system are the optimal targets.
Optionally, the system optimized scheduling objective function is:
wherein F is the total coal consumption of the system; u, V the number of pure condensing units and thermoelectric units;
the coal consumption of the u-th pure condensation thermal power unit in the t period is shown;
the coal consumption of the vth thermoelectric unit in the t period;
the wind curtailment power is t time period; lambda is a wind curtailment penalty coefficient, t/(MW & h); t is the total time period number of a scheduling period; Δ t is the time interval, h, of one scheduling period.
Preferably, the determining the constraint condition of the system optimized scheduling includes:
constructing the power balance constraint; the power balance constraint is
Wherein the content of the first and second substances,
the electric power of the u-th straight condensing unit in the t period;
for the v-th thermoelectric power plant of the thermal power plant during the period tElectrical power;
the wind power grid-connected power is the wind power grid-connected power in the time period t;
photovoltaic power for a period t;
the total load of power supply for the time period t;
the thermal power of the v-th thermoelectric unit of the thermal power plant is in the period of t; r is the number of heat exchange stations;
the heat load of the r heat exchange station in the t period is GJ/h;
the storage and release power of the thermal energy storage device is t time period; zeta TS The heat storage and release state of the heat energy storage device is 0 or 1;
constructing the operation constraint of the hydrogen energy storage unit; the hydrogen energy storage unit is constrained in operation by
Wherein, P EH,max The maximum electric power of the electrolytic cell;
the input power variation of the electrolytic cell in the t period; delta P EH,max 、ΔP EH,min Respectively the maximum value and the minimum value of the climbing rate of the electrolytic cell; w HS,max The maximum hydrogen storage capacity of the hydrogen storage tank;
the allowance of the hydrogen storage tank in the time period t; r HS,max 、R HS,min Respectively the maximum value and the minimum value of the hydrogen storage tank allowance; p GT,max 、P GT,min The maximum output and the minimum output of the hydrogen-burning gas turbine are respectively;
building the electric boiler power constraint; the electric boiler power constraint is as follows:
constructing output constraints of the unit; the unit output constraint is
Wherein, P CON,max 、P CON,min The maximum output and the minimum output of the straight condensing unit are respectively; d max 、D min The maximum and minimum steam extraction quantities of the thermoelectric unit are respectively; p CHP,max (D)、P CHP,min (D) The maximum output and the minimum output of the thermoelectric unit are respectively; q CHP,max The upper limit of the thermal output of the thermoelectric unit is; p W,max And predicting output for wind power.
Specifically, the fourth step of this embodiment is to determine constraint conditions for system optimal scheduling, where the constraint conditions include a power balance constraint, a hydrogen energy storage unit operation constraint, an electric boiler power constraint, a thermal energy storage capacity constraint, and a unit output constraint.
Optionally, the power balance constraint is:
wherein the content of the first and second substances,
the electric power of the u-th straight condensing unit in the t period;
the electric power of the v-th thermoelectric power unit of the thermal power plant in the time period t;
the wind power grid-connected power is the wind power grid-connected power in the time period t;
photovoltaic power for a period t;
the total load of power supply for the time period t;
the thermal power of the v-th thermoelectric unit of the thermal power plant is in the period of t; r is the number of heat exchange stations;
the heat load of the r heat exchange station in the t period is GJ/h;
the storage and release power of the thermal energy storage device is t time period; zeta TS The value of the heat storage and release state of the heat energy storage device is 0 or 1(0 is heat storage and 1 is heat release).
Optionally, the operation constraints of the hydrogen energy storage unit are as follows:
wherein, P EH,max The maximum electric power of the electrolytic cell;
the input power variation of the electrolytic cell in the t period; delta P EH,max 、ΔP EH,min Respectively the maximum value and the minimum value of the climbing rate of the electrolytic cell; w HS,max Is the maximum hydrogen storage capacity of the hydrogen storage tank;
the allowance of the hydrogen storage tank in the time period t; r HS,max 、R HS,min Respectively the maximum value and the minimum value of the hydrogen storage tank allowance; p GT,max 、P GT,min The maximum output and the minimum output of the hydrogen-burning gas turbine are respectively.
Optionally, the electric boiler power constraint is:
wherein, P EB,max The maximum power consumption of the electric boiler;
the input power variation of the electric boiler in the t period; delta P EB,max 、ΔP EB,min Respectively the maximum value and the minimum value of the climbing rate of the electric boiler.
Optionally, the thermal energy storage capacity constraint is:
wherein Q is TS,max Is the maximum capacity of the thermal energy storage device.
Optionally, the unit output constraint is:
wherein, P CON,max 、P CON,min The maximum output and the minimum output of the straight condensing unit are respectively; d max 、D min The maximum and minimum steam extraction quantities of the thermoelectric unit are respectively; p CHP,max (D)、P CHP,min (D) The maximum output and the minimum output of the thermoelectric unit are respectively; q CHP,max The upper limit of the thermal output of the thermoelectric unit is; p W,max And predicting output for wind power.
Preferably, solving the system optimization scheduling objective function includes:
and solving the system optimization scheduling objective function by adopting a particle swarm optimization algorithm in a swarm intelligent optimization algorithm based on MATLAB simulation software.
Further, the last step in this embodiment is to solve the optimal scheduling objective function based on the constraint conditions and the set control strategy, so as to achieve optimal scheduling of the electric heat and hydrogen multiple energy complementary system. The solution of the objective function is a mixed integer optimization problem, comprises a plurality of equality and inequality constraints, and is based on MATLAB simulation software and is solved by adopting a particle swarm optimization algorithm in a swarm intelligence optimization algorithm.
As an optional implementation manner, the present embodiment further simulates the method, and the present embodiment employs a modified IEEE14 node system for simulation, and the system structure is shown in fig. 4. The installed wind power capacity of the system is 920MW, and the wind power permeability is about 30%; the capacity of the distributed photovoltaic power station is 100 MW. Wherein, the nodes 1, 3, 6 and 8 are respectively connected with 4 straight condensing units (#13- # 16); the node 2 is connected with a thermal power plant which comprises 12 thermoelectric units (#1- #12), and is also connected with an electric boiler with the capacity of 200MW and a heat energy storage device with the capacity of 100MW, and a heat network connected with the thermal power plant is provided with 9 heat exchange stations which are distributed in a radial shape; the node 5 is a wind, light and hydrogen energy storage unit access node. Respectively taking the time-of-use electricity price: the peak time period is 9:00-12:00, 17:00-20:00, and the electricity price is 0.74 yuan/kW.h; the valley period is 23: 00-6: 00 of the next day, and the electricity price is 0.27 yuan/kW.h; the rest time period is the ordinary time period, and the electricity price is 0.38 yuan/kW.h.
The parameters in the examples take the following values: the value of Delta H is 2327.53kJ/kg, and the value of epsilon is 800Nm 3 /(MW·h)，η EH Take 0.85, eta HS Take 0.95, eta GT Taking 0.4, rho 2, delta 3.6, eta EB The ratio of lambda to 0.95 was 0.32t/(MW · h).
In addition, the parameters of the thermoelectric unit and the straight condensing unit are shown in tables 1-3, the predicted output of the new energy is shown in fig. 5, and the predicted power of the load is shown in fig. 6.
TABLE 1 consumption characteristic fitting coefficients of thermoelectric power units
TABLE 2 consumption characteristic fitting coefficients of straight condensing units
| Unit number | a 0 | a 1 | a 2 |
| 13 | 4.9369 | 0.2762 | 0.0011 |
| 14 | 5.9653 | 0.2608 | 0.0008 |
| 15 | 3.0000 | 0.3200 | 0.0004 |
| 16 | 2.3298 | 0.3101 | 0.0015 |
TABLE 3 operating parameters of each unit
The following two scheduling schemes are set:
scheme H: by adopting the scheduling method, the charge and discharge power of the hydrogen energy storage unit is 200 MW.
Scheme E: the electrochemical energy storage unit formed by combining 4 groups of lithium ion batteries with the capacity of 50MW replaces the hydrogen energy storage unit of the H scheme, and the range of the charge state of the electrochemical energy storage unit is 0.1-0.9.
According to example data, the two scheduling schemes are simulated, the input/output power and the hydrogen storage capacity of the hydrogen energy storage unit are respectively shown in fig. 7 and fig. 8, the output condition of the electrochemical energy storage unit is shown in fig. 9, and the wind power output ratio of the two schemes is shown in fig. 10.
As can be seen from fig. 7 and 8, the hydrogen energy storage unit frequently operates, the electrolyzer, the hydrogen storage tank or the hydrogen-fired gas turbine unit is started almost all the way at each time interval, the comprehensive utilization efficiency reaches over 90%, and the residual hydrogen state of the hydrogen storage tank presents a bimodal and bimodal characteristic. Therefore, under the condition of a given wind-light ratio, the capacity of the hydrogen energy storage unit configured by the system can meet the corresponding wind power consumption and energy supply requirements. Considering the losses of the electrolytic cell, the hydrogen storage tank and the hydrogen-fired gas turbine unit in the energy conversion process, the electric energy utilization efficiency of the hydrogen energy storage unit is 77.12%.
As can be seen from fig. 9, the electrochemical energy storage unit frequently acts in the whole scheduling period, and exhibits the feature of "two charging and two discharging", which conforms to the general rule. Compared with a hydrogen energy storage unit, the peak shaving capacity and the electric energy utilization efficiency (73.11%) are slightly inferior. The reason is that the hydrogen storage tank provides a flexible charge-discharge transition space for the hydrogen energy storage unit, so that the hydrogen energy storage unit is basically not limited by rigid energy storage capacity, and the whole capacity is improved, while the electrochemical energy storage unit does not have the advantages.
As can be seen from fig. 10, the deviation between the scheme E and the predicted value of the wind power is large, and at this time, the total wind abandon rate of the system is 9.01%, which is greater than the wind abandon rate (4.99%) of the scheme H. The electrochemical energy storage unit has small effective capacity and short energy storage period, so that the electrochemical energy storage unit has small peak clipping and valley filling effects, and the wind removing effect is not equal to that of a hydrogen energy storage unit with the same capacity.
Corresponding to the above method, the embodiment further provides an electric heat hydrogen multi-energy complementary scheduling system based on a hydrogen-fired gas turbine, including:
the system construction module is used for constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy forms of the multi-energy complementary system comprise electric energy, heat energy, wind energy, light energy and hydrogen energy;
the model establishing module is used for respectively establishing mathematical models of all devices in the multi-energy complementary system;
the function building module is used for building a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives based on the mathematical models;
the constraint determining module is used for determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, heat energy storage capacity constraint and unit output constraint;
and the scheduling module is used for solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system.
The invention has the following beneficial effects:
the invention provides an electric heating hydrogen multi-energy complementary scheduling method and system based on a hydrogen-fired gas turbine, aiming at the problems of insufficient system peak regulation capacity and new energy consumption caused by large-scale wind-solar grid connection, fully utilizing the space-time complementary characteristic of the system and the capacity of conversion among different energy forms, widening the ways of multi-energy complementary, and realizing the multi-element conversion of energy and the improvement of comprehensive energy efficiency, wherein the electric energy utilization efficiency of a hydrogen energy storage unit based on the hydrogen-fired gas turbine is about 75 percent, the energy efficiency level of pumped storage is reached, and the electric heating hydrogen multi-energy complementary scheduling method and system have certain practical value. Compared with the traditional dispatching method mainly based on electrochemical energy storage, the method has the advantages of peak regulation, higher new energy consumption level of the system and realization of cleanness and high efficiency in the true sense.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (8)
1. An electric heating hydrogen multi-energy complementary scheduling method based on a hydrogen-burning gas turbine is characterized by comprising the following steps:
constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy forms of the multi-energy complementary system comprise electric energy, heat energy, wind energy, light energy and hydrogen energy;
respectively establishing mathematical models of all devices in the multi-energy complementary system;
based on each mathematical model, establishing a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives;
determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, heat energy storage capacity constraint and unit output constraint;
and solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system.
2. The electric heat hydrogen multi-energy complementary scheduling method based on a hydrogen-fired gas turbine as claimed in claim 1, wherein the control strategy comprises:
starting a hydrogen energy storage unit in the multi-energy complementary system to produce hydrogen when the multi-energy complementary system has a wind abandoning or low electricity price valley period by using the acquired time-of-use electricity price data and wind power internet data;
and at the load peak time, scheduling the hydrogen energy storage unit to generate power according to optimization calculation, and starting a heat energy storage device in the multi-energy complementary system to store heat when the heat supply of a hydrogen-fired gas turbine unit in the multi-energy complementary system is greater than the heat load demand.
3. The electric heat hydrogen multi-energy complementary scheduling method based on the hydrogen-fired gas turbine is characterized in that the equipment of the multi-energy complementary system comprises a superior power grid, a heat supply network, distributed photovoltaic, wind power, a hydrogen energy storage unit, an electric boiler, a heat energy storage and load demand side; the hydrogen energy storage unit comprises an electrolytic cell, a hydrogen storage tank and a hydrogen-burning gas turbine unit.
4. The electric-thermal hydrogen-based multi-energy complementary scheduling method of the hydrogen-combustion gas turbine as claimed in claim 3, wherein the establishing the mathematical model of each device in the multi-energy complementary system respectively comprises:
establishing a pure condensation power unit model of the superior power grid; the pure condensation power unit model is
Wherein, F CON The coal consumption of the pure condensation thermal power generating unit is obtained; p CON The electric power is the electric power of the pure condensation power generating unit; a is 0 、a 1 And a 2 Fitting coefficients of pure condensation thermal power generating units are all obtained;
establishing a thermal motor set model of the heat supply network; the thermoelectric unit model is
Wherein, F CHP The coal consumption of the thermoelectric unit; p is CHP Electrical power for the thermoelectric generator set; d is the heat supply steam extraction quantity of the thermoelectric unit; b is a mixture of 0 、b 1 、b 2 、b 3 、b 4 And b 5 Fitting coefficients of all thermoelectric units are obtained; q CHP The thermal power of the thermoelectric unit; Δ H is the steam enthalpy drop;
establishing a hydrogen energy storage model of the hydrogen energy storage unit; the hydrogen energy storage model is
Wherein, the first and the second end of the pipe are connected with each other,
hydrogen production at time t; epsilon is an electro-hydrogen conversion coefficient; eta EH The efficiency of the cell;
input electric power of the electrolytic cell for a period t;
the hydrogen storage capacity of the hydrogen storage tank is respectively in the t time period and the t-1 time period;
the input quantity and the output quantity of the hydrogen storage tank in the period t are respectively; eta HS The hydrogen storage efficiency of the hydrogen storage tank;
the output electric power and the heat supply quantity of the hydrogen combustion gas turbine in the time period t are respectively; eta GT The power generation efficiency of the hydrogen-combustion gas turbine is obtained; rho is the thermoelectric ratio of the hydrogen-burning gas turbine;
establishing a boiler model of the electric boiler; the boiler model of the electric boiler is
Wherein the content of the first and second substances,
the power consumption and the heat production power of the electric boiler in the t period are respectively; delta is the electrothermal conversion coefficient eta EB The heat generating efficiency of the electric boiler.
5. The electric-thermal hydrogen multi-energy complementary scheduling method based on a hydrogen-fired gas turbine as claimed in claim 4, wherein the system optimization scheduling objective function is
Wherein F is the total coal consumption of the multi-energy complementary system; u, V the number of pure condensing units and thermoelectric units;
the coal consumption of the u-th pure condensation thermal power unit in the t period is shown;
the coal consumption of the vth thermoelectric unit in the t period;
the wind curtailment power is t time period; lambda is a wind curtailment penalty coefficient; t is the total time period number of a scheduling period; Δ t is the time interval of one scheduling period.
6. The electric heat hydrogen multi-energy complementary scheduling method based on the hydrogen-fired gas turbine as claimed in claim 4, wherein the determining constraint condition of the system optimization scheduling comprises:
constructing the power balance constraint; the power balance constraint is
Wherein the content of the first and second substances,
the electric power of the u-th straight condensing unit in the t period;
the electric power of the v-th thermoelectric power unit of the thermal power plant in the time period t;
the wind power grid-connected power is the wind power grid-connected power in the time period t;
photovoltaic power for a period t;
the total load of power supply for a period t;
the thermal power of the v-th thermoelectric unit of the thermal power plant is in the period of t; r is the number of heat exchange stations;
the heat load of the r heat exchange station in the t period is GJ/h;
the storage and release power of the thermal energy storage device is t time period; zeta TS The heat storage and release state of the heat energy storage device is 0 or 1;
constructing the operation constraint of the hydrogen energy storage unit; the hydrogen energy storage unit is constrained in operation by
Wherein, P EH,max The maximum electric power of the electrolytic cell;
for a period of tThe input power variation of (1); delta P EH,max 、ΔP EH,min Respectively the maximum value and the minimum value of the climbing rate of the electrolytic cell; w HS,max The maximum hydrogen storage capacity of the hydrogen storage tank;
the allowance of the hydrogen storage tank in the time period t; r HS,max 、R HS,min Respectively the maximum value and the minimum value of the hydrogen storage tank allowance; p GT,max 、P GT,min The maximum output and the minimum output of the hydrogen-burning gas turbine are respectively;
building the electric boiler power constraint; the electric boiler power constraint is as follows:
constructing output constraints of the unit; the unit output constraint is
Wherein, P CON,max 、P CON,min The maximum output and the minimum output of the straight condensing unit are respectively; d max 、D min The maximum and minimum steam extraction quantities of the thermoelectric unit are respectively; p CHP,max (D)、P CHP,min (D) The maximum output and the minimum output of the thermoelectric unit are respectively; q CHP,max The upper limit of the thermal output of the thermoelectric unit is; p W,max And predicting output for wind power.
7. The electric heat hydrogen multi-energy complementary scheduling method based on the hydrogen-fired gas turbine as claimed in claim 1, wherein solving the system optimization scheduling objective function comprises:
and solving the system optimization scheduling objective function by adopting a particle swarm optimization algorithm in a swarm intelligent optimization algorithm based on MATLAB simulation software.
8. An electric heat hydrogen multi-energy complementary scheduling system based on a hydrogen-fired gas turbine is characterized by comprising:
the system construction module is used for constructing a multi-energy complementary system and a control strategy of the multi-energy complementary system; the energy forms of the multi-energy complementary system comprise electric energy, heat energy, wind energy, light energy and hydrogen energy;
the model establishing module is used for respectively establishing mathematical models of all devices in the multi-energy complementary system;
the function building module is used for building a system optimization scheduling objective function with the minimum total coal consumption and the maximum abandoned wind consumption of the multi-energy complementary system as optimization objectives based on the mathematical models;
the constraint determining module is used for determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, heat energy storage capacity constraint and unit output constraint;
and the scheduling module is used for solving the system optimization scheduling objective function based on the constraint conditions and the control strategy so as to realize the optimal scheduling of the electric heating hydrogen multi-energy complementary system.
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