CN114861546B - Electric heating hydrogen multi-energy complementary scheduling method and system based on hydrogen-burning gas turbine - Google Patents
Electric heating hydrogen multi-energy complementary scheduling method and system based on hydrogen-burning gas turbine Download PDFInfo
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Abstract
The invention relates to an electrothermal hydrogen multi-energy complementary scheduling method and system based on a hydrogen-burning 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 the devices in the multi-energy complementary system; based on each mathematical model, establishing a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste wind consumption of the multi-energy complementary system as optimization objectives; determining constraint conditions of system optimization scheduling; and solving the optimal scheduling objective function of the system based on the constraint condition and the control strategy so as to realize optimal scheduling of the electrothermal hydrogen multi-energy complementary system. The invention fully utilizes the space-time complementary characteristic of the multi-energy complementary system and the capability of conversion between different energy forms, has the advantage of peak regulation, and realizes clean and high efficiency in the true sense through the utilization of hydrogen energy.
Description
Technical Field
The invention relates to the technical field of power system dispatching, in particular to an electrothermal hydrogen multi-energy complementary dispatching method and system based on a hydrogen-burning gas turbine.
Background
Because the new energy power generation has random volatility and anti-peak shaving characteristics, after large-scale grid connection, the peak shaving burden of the thermal power generation unit and the thermoelectric unit is increased increasingly, a large amount of wind and light is abandoned, and the power system is faced with the problems of peak shaving and new energy consumption which are becoming serious.
Under the existing technical conditions, the peak regulation capacity of the system can be improved by configuring energy storage, so that 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 after the electrochemical energy storage is applied to an electric power system, the system scheduling is not flexible enough.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an electrothermal hydrogen multi-energy complementary scheduling method and system based on a hydrogen-burning gas turbine.
In order to achieve the above object, the present invention provides the following solutions:
an electrothermal hydrogen multi-energy complementary scheduling method based on a hydrogen-burning gas turbine 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 electric energy, heat energy, wind energy, light energy and hydrogen energy;
respectively establishing mathematical models of all the devices in the multi-energy complementary system;
Based on each mathematical model, establishing a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste 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, thermal energy storage capacity constraint and unit output constraint;
and solving the optimal scheduling objective function of the system based on the constraint condition and the control strategy so as to realize optimal scheduling of the electrothermal 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 in a period when the wind abandoning or electricity price valley exists in the multi-energy complementary system by using the acquired time-sharing electricity price data and wind power internet surfing data;
And in the load peak time, dispatching the hydrogen energy storage unit to generate power according to optimization calculation, and starting the heat energy storage device in the multi-energy complementary system to store heat when the heat supply of the hydrogen-burning gas turbine unit in the multi-energy complementary system is larger than the heat load demand.
Preferably, the equipment of the multi-energy complementary system comprises an upper 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 party; the hydrogen energy storage unit comprises an electrolytic tank, a hydrogen storage tank and a hydrogen-burning gas turbine unit.
Preferably, the establishing a mathematical model of each device in the multi-energy complementary system includes:
Establishing a pure thermal power unit model of the upper power grid; the pure thermal power unit model is Wherein F CON is the coal consumption of the pure thermal power unit; p CON is the electric power of the pure thermal power unit; a 0、a1 and a 2 are fitting coefficients of a pure fossil power unit;
establishing a thermoelectric unit model of the heat supply network; the thermoelectric unit model is Wherein F CHP is the coal consumption of the thermoelectric unit; p CHP is the electrical power of the thermoelectric unit; d is the heat supply steam extraction quantity of the thermoelectric unit; b 0、b1、b2、b3、b4 and b 5 are fitting coefficients of the thermoelectric unit; q CHP is the thermal power of the thermoelectric unit; Δh is the vapor enthalpy drop;
establishing a hydrogen energy storage model of the hydrogen energy storage unit; the hydrogen energy storage model is Wherein/>Hydrogen production for period t; epsilon is the electro-hydrogen conversion coefficient; η EH is the efficiency of the electrolyzer; /(I)The input electric power of the electrolytic tank is t time period; /(I)The hydrogen storage amount of the hydrogen storage tank is respectively t time period and t-1 time period; Respectively the input quantity and the output quantity of the hydrogen storage tank in the t period; η HS is the hydrogen storage efficiency of the hydrogen storage tank; /(I) The output electric power and the heat supply of the hydrogen-burning gas turbine are respectively t time periods; η GT is the power generation efficiency of the hydrogen-fired gas turbine; ρ is the heat-to-power ratio of the hydrogen-fired gas turbine;
Establishing a boiler model of the electric boiler; the boiler model of the electric boiler is Wherein,The power consumption and the heat generation power of the electric boiler in the t period are respectively; delta is the electrothermal conversion coefficient, eta EB is the heat production efficiency of the electric boiler.
Preferably, the system optimizes the scheduling objective function asWherein F is the total coal consumption of the multi-energy complementary system; u, V are the number of the pure condensing units and the thermoelectric units respectively; /(I)The coal consumption of the u-th pure thermal power unit in the t period; /(I)Coal consumption of the v-th thermoelectric unit in the t period; /(I)The wind discarding power is t time period; lambda is a wind abandon punishment coefficient; t is the total time period number of one scheduling period; Δt is the time interval of one scheduling period.
Preferably, the determining constraint conditions of the system optimization scheduling includes:
Constructing the power balance constraint; the power balance constraint is that Wherein/>The electric power of the u-th pure condensing unit in the t period; the electric power of the v-th thermoelectric unit of the thermal power plant in the t period; /(I) Wind power internet power at t time period; /(I)Photovoltaic power for period t; /(I)The total power supply load is t time periods; /(I)The thermal power of a v-th thermoelectric unit of the thermal power plant in the t period; r is the number of heat exchange stations; /(I)GJ/h is the heat load of the r heat exchange station in the t period; /(I)The heat storage and release power of the heat energy storage device is t time periods; ζ TS is the heat storage and release state of the heat energy storage device, and the value is 0 or 1;
constructing the hydrogen energy storage unit operation constraint; the operation constraint of the hydrogen energy storage unit is that Wherein P EH,max is the maximum power consumption of the electrolytic cell; /(I)The variation of the input power of the electrolytic tank is t time period; ΔP EH,max、ΔPEH,min is the maximum value and the minimum value of the climbing rate of the electrolytic tank respectively; w HS,max is the maximum hydrogen storage amount of the hydrogen storage tank; /(I)The balance of the hydrogen storage tank is t time period; r HS,max、RHS,min is the maximum value and the minimum value of the residual quantity of the hydrogen storage tank respectively; p GT,max、PGT,min is the maximum and minimum output of the hydrogen-burning gas turbine respectively;
Constructing the electric boiler power constraint; the electric boiler power constraint is as follows:
wherein P EB,max is the maximum power of the electric boiler; /(I) The input power variation of the electric boiler is t time period; ΔP EB,max、ΔPEB,min is the maximum value and the minimum value of the climbing rate of the electric boiler respectively;
Constructing the unit output constraint; the output constraint of the unit is that Wherein, P CON,max、PCON,min is the maximum and minimum output of the pure condensing unit respectively; d max、Dmin is the maximum and minimum steam extraction quantity of the thermoelectric unit respectively; p CHP,max(D)、PCHP,min (D) is the maximum and minimum output of the thermoelectric unit respectively; q CHP,max is the upper limit of the heat output of the thermoelectric unit; p W,max is wind power predicted output.
Preferably, solving the system-optimized 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 electrothermal hydrogen multi-energy complementary scheduling system based on a hydrogen-burning gas turbine, 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 form of the multi-energy complementary system comprises electric energy, heat energy, wind energy, light energy and hydrogen energy;
The model building module is used for respectively building mathematical models of all the devices in the multi-energy complementary system;
The function construction module is used for constructing a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste wind consumption of the multi-energy complementary system as optimization targets based on each mathematical model;
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, thermal energy storage capacity constraint and unit output constraint;
and the scheduling module is used for solving the optimal scheduling objective function of the system based on the constraint conditions and the control strategy so as to realize optimal scheduling of the electrothermal 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 electrothermal hydrogen multi-energy complementary scheduling method and system based on a hydrogen-burning 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 electric energy, heat energy, wind energy, light energy and hydrogen energy; respectively establishing mathematical models of all the devices in the multi-energy complementary system; based on each mathematical model, establishing a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste 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, thermal energy storage capacity constraint and unit output constraint; and solving the optimal scheduling objective function of the system based on the constraint condition and the control strategy so as to realize optimal scheduling of the electrothermal hydrogen multi-energy complementary system. The invention fully utilizes the space-time complementary characteristic of the multi-energy complementary system and the capability of converting between different energy forms, and utilizes the hydrogen energy storage unit based on the hydrogen-burning gas turbine in a specific embodiment, thereby having peak regulation advantage, and the system also shows higher new energy consumption level, and realizes clean and high efficiency in the true sense.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a scheduling method in an embodiment provided by the invention;
FIG. 2 is a flow chart of steps in an embodiment provided by the present invention;
FIG. 3 is a schematic diagram of a control strategy for a hydrogen heating multi-energy complementary system in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of an improved IEEE14 node system in accordance with an embodiment of the invention
FIG. 5 is a schematic diagram of new energy prediction in an embodiment of the present invention;
FIG. 6 is a schematic diagram of load predicted power in an embodiment provided by the present invention;
FIG. 7 is a schematic diagram of the input/output power of a hydrogen storage unit according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of the hydrogen storage capacity of the hydrogen storage unit according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of the output of an electrochemical energy storage cell according to an embodiment of the present invention;
FIG. 10 is a comparative schematic diagram of wind power output in an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, inclusion of a list of steps, processes, methods, etc. is not limited to the listed steps but may alternatively include steps not listed or may alternatively include other steps inherent to such processes, methods, products, or apparatus.
The invention aims to provide an electrothermal hydrogen multi-energy complementary scheduling method and system based on a hydrogen-burning gas turbine, which can realize effective absorption of surplus wind and light and alleviation of peak regulation pressure of the system.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
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 a method for complementary scheduling of electrothermal hydrogen based on a hydrogen-burning gas turbine, including:
Step 100: 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 electric energy, heat energy, wind energy, light energy and hydrogen energy;
step 200: respectively establishing mathematical models of all the devices in the multi-energy complementary system;
Step 300: based on each mathematical model, establishing a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste 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, thermal energy storage capacity constraint and unit output constraint;
step 500: and solving the optimal scheduling objective function of the system based on the constraint condition and the control strategy so as to realize optimal scheduling of the electrothermal 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 in a period when the wind abandoning or electricity price valley exists in the multi-energy complementary system by using the acquired time-sharing electricity price data and wind power internet surfing data;
And in the load peak time, dispatching the hydrogen energy storage unit to generate power according to optimization calculation, and starting the heat energy storage device in the multi-energy complementary system to store heat when the heat supply of the hydrogen-burning gas turbine unit in the multi-energy complementary system is larger than the heat load demand.
FIG. 2 is a schematic diagram of a control strategy of an electrothermal hydrogen multi-energy complementary system according to an embodiment of the present invention, as shown in FIG. 2, the equipment of the multi-energy complementary system includes an upper grid, a heat supply network, a distributed photovoltaic, wind power, a hydrogen storage unit, an electric boiler, a heat storage and a load demand party; the hydrogen energy storage unit comprises an electrolytic tank, a hydrogen storage tank and a hydrogen-burning gas turbine unit. The control strategy comprises the following steps: starting a hydrogen storage unit to produce hydrogen (at the moment, an electrolytic tank produces hydrogen and stores the hydrogen in a hydrogen storage tank, a hydrogen-burning gas turbine unit does not act) by utilizing a time-sharing electricity price policy and the acquired wind power internet data in a period that the system has abandoned wind or electricity price low valley, and simultaneously heating an electric boiler; during the load peak time, the system schedules the hydrogen energy storage unit to generate electricity according to the optimization calculation (at the moment, the hydrogen-burning gas turbine unit generates electricity according to the mode of 'electricity fixed heat', the electrolytic tank does not act), and when the heat supply of the hydrogen-burning gas turbine unit is greater than the heat load demand, the system starts the heat energy storage device to store heat; the hydrogen storage unit is in a static state during the rest period.
Preferably, the establishing a mathematical model of each device in the multi-energy complementary system includes:
Establishing a pure thermal power unit model of the upper power grid; the pure thermal power unit model is Wherein F CON is the coal consumption of the pure thermal power unit, and t/h; p CON is the electric power of the pure thermal power unit; a 0、a1 and a 2 are fitting coefficients of a pure fossil power unit;
establishing a thermoelectric unit model of the heat supply network; the thermoelectric unit model is Wherein F CHP is the coal consumption of the thermoelectric unit, t/h; p CHP is the electrical power of the thermoelectric unit; d is the heat supply steam extraction quantity of the thermoelectric unit; b 0、b1、b2、b3、b4 and b 5 are fitting coefficients of the thermoelectric unit; q CHP is the thermal power of the thermoelectric unit; Δh is the vapor enthalpy drop;
establishing a hydrogen energy storage model of the hydrogen energy storage unit; the hydrogen energy storage model is Wherein/>Hydrogen production for period t; epsilon is the electro-hydrogen conversion coefficient; η EH is the efficiency of the electrolyzer; /(I)The input electric power of the electrolytic tank is t time period; /(I)The hydrogen storage amount of the hydrogen storage tank is respectively t time period and t-1 time period; Respectively the input quantity and the output quantity of the hydrogen storage tank in the t period; η HS is the hydrogen storage efficiency of the hydrogen storage tank; /(I) The output electric power and the heat supply of the hydrogen-burning gas turbine are respectively t time periods; η GT is the power generation efficiency of the hydrogen-fired gas turbine; ρ is the heat-to-power ratio of the hydrogen-fired gas turbine;
Establishing a boiler model of the electric boiler; the boiler model of the electric boiler is Wherein,The power consumption and the heat generation power of the electric boiler in the t period are respectively; delta is the electrothermal conversion coefficient, eta EB is the heat production efficiency of the electric boiler.
Specifically, in the second step of this embodiment, mathematical models of all devices in the electrothermal hydrogen multi-energy complementary system are respectively built, and optionally, a pure thermal power generating unit model of the upper power grid is as follows:
Wherein F CON is the coal consumption of the pure thermal power unit, and t/h; p CON is the electric power of the pure thermal power unit, MW; a 0～a2 is a fitting coefficient.
Optionally, the thermoelectric unit model of the heat supply network is:
wherein F CHP is the coal consumption of the thermoelectric unit, t/h; p CHP is the electric power of the thermoelectric unit, MW; d is the heat supply steam extraction quantity of the thermoelectric unit, and t/h; b 0～b5 is a fitting coefficient; q CHP is the thermal power of the thermoelectric unit; ΔH is the vapor enthalpy drop, kJ/kg.
Optionally, the hydrogen energy storage unit model is:
wherein, The hydrogen yield is Nm 3/h in t period; epsilon is the electro-hydrogen conversion coefficient, and Nm 3/(MW·h);ηEH is the efficiency of the electrolytic cell; /(I)The input electric power of the electrolytic tank is t time period; /(I)The hydrogen storage amount of the hydrogen storage tank is respectively t time period and t-1 time period; /(I)Respectively the input quantity and the output quantity of the hydrogen storage tank in the t period; η HS is the hydrogen storage efficiency of the hydrogen storage tank; the output electric power and the heat supply of the hydrogen-burning gas turbine are respectively t time periods; η GT is the power generation efficiency of the hydrogen-fired gas turbine; ρ is the heat to power ratio of the hydrogen-fired gas turbine.
Optionally, the electric boiler model is:
wherein, The power consumption and the heat generation power of the electric boiler in the t period are respectively; delta is the electrothermal conversion coefficient, eta EB is the heat production efficiency of the electric boiler.
Preferably, the system optimizes the scheduling objective function asWherein F is the total coal consumption of the multi-energy complementary system; u, V are the number of the pure condensing units and the thermoelectric units respectively; /(I)The coal consumption of the u-th pure thermal power unit in the t period; /(I)Coal consumption of the v-th thermoelectric unit in the t period; /(I)The wind discarding power is t time period; lambda is a wind abandon punishment coefficient; t is the total time period number of one scheduling period; Δt is the time interval of one scheduling period.
Specifically, the third step of the embodiment is to establish an optimal scheduling objective function of the electric heating hydrogen multi-energy complementary system with the minimum total coal consumption and the maximum waste wind consumption of the system as optimization targets based on a mathematical model of each device.
Optionally, the system optimizes the scheduling objective function as follows:
Wherein F is the total coal consumption of the system; u, V are the number of the pure condensing units and the thermoelectric units respectively; The coal consumption of the u-th pure thermal power unit in the t period; /(I) Coal consumption of the v-th thermoelectric unit in the t period; /(I)The wind discarding power is t time period; lambda is a punishment coefficient of the abandoned wind, t/(MW.h); t is the total time period number of one scheduling period; Δt is the time interval of one scheduling period, h.
Preferably, the determining constraint conditions of the system optimization scheduling includes:
Constructing the power balance constraint; the power balance constraint is that Wherein/>The electric power of the u-th pure condensing unit in the t period; the electric power of the v-th thermoelectric unit of the thermal power plant in the t period; /(I) Wind power internet power at t time period; /(I)Photovoltaic power for period t; /(I)The total power supply load is t time periods; /(I)The thermal power of a v-th thermoelectric unit of the thermal power plant in the t period; r is the number of heat exchange stations; /(I)GJ/h is the heat load of the r heat exchange station in the t period; /(I)The heat storage and release power of the heat energy storage device is t time periods; ζ TS is the heat storage and release state of the heat energy storage device, and the value is 0 or 1;
constructing the hydrogen energy storage unit operation constraint; the operation constraint of the hydrogen energy storage unit is that Wherein P EH,max is the maximum power consumption of the electrolytic cell; /(I)The variation of the input power of the electrolytic tank is t time period; ΔP EH,max、ΔPEH,min is the maximum value and the minimum value of the climbing rate of the electrolytic tank respectively; w HS,max is the maximum hydrogen storage amount of the hydrogen storage tank; /(I)The balance of the hydrogen storage tank is t time period; r HS,max、RHS,min is the maximum value and the minimum value of the residual quantity of the hydrogen storage tank respectively; p GT,max、PGT,min is the maximum and minimum output of the hydrogen-burning gas turbine respectively;
Constructing the electric boiler power constraint; the electric boiler power constraint is as follows:
wherein P EB,max is the maximum power of the electric boiler; /(I) The input power variation of the electric boiler is t time period; ΔP EB,max、ΔPEB,min is the maximum value and the minimum value of the climbing rate of the electric boiler respectively;
Constructing the unit output constraint; the output constraint of the unit is that Wherein, P CON,max、PCON,min is the maximum and minimum output of the pure condensing unit respectively; d max、Dmin is the maximum and minimum steam extraction quantity of the thermoelectric unit respectively; p CHP,max(D)、PCHP,min (D) is the maximum and minimum output of the thermoelectric unit respectively; q CHP,max is the upper limit of the heat output of the thermoelectric unit; p W,max is wind power predicted output.
Specifically, the fourth step of this embodiment is to determine constraint conditions of the system optimization schedule, 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 electric power of the u-th pure condensing unit in the t period; /(I)The electric power of the v-th thermoelectric unit of the thermal power plant in the t period; /(I)Wind power internet power at t time period; /(I)Photovoltaic power for period t; /(I)The total power supply load is t time periods; The thermal power of a v-th thermoelectric unit of the thermal power plant in the t period; r is the number of heat exchange stations; /(I) GJ/h is the heat load of the r heat exchange station in the t period; /(I)The heat storage and release power of the heat energy storage device is t time periods; ζ TS is the heat storage and release state of the heat storage device, and the value is 0 or 1 (0 is heat storage, and 1 is heat release).
Optionally, the hydrogen storage unit operation constraint is:
Wherein P EH,max is the maximum power consumption of the electrolytic cell; The variation of the input power of the electrolytic tank is t time period; ΔP EH,max、ΔPEH,min is the maximum value and the minimum value of the climbing rate of the electrolytic tank respectively; w HS,max is the maximum hydrogen storage amount of the hydrogen storage tank; /(I) The balance of the hydrogen storage tank is t time period; r HS,max、RHS,min is the maximum value and the minimum value of the residual quantity of the hydrogen storage tank respectively; p GT,max、PGT,min is the maximum and minimum output of the hydrogen-fired gas turbine, respectively.
Optionally, the electric boiler power constraint is:
Wherein P EB,max is the maximum power of the electric boiler; The input power variation of the electric boiler is t time period; Δp EB,max、ΔPEB,min is the maximum and minimum value of the climbing rate of the electric boiler, respectively.
Optionally, the thermal energy storage capacity constraint is:
Wherein Q TS,max is the maximum capacity of the thermal energy storage device.
Optionally, the unit output constraint is:
Wherein, P CON,max、PCON,min is the maximum and minimum output of the pure condensing unit respectively; d max、Dmin is the maximum and minimum steam extraction quantity of the thermoelectric unit respectively; p CHP,max(D)、PCHP,min (D) is the maximum and minimum output of the thermoelectric unit respectively; q CHP,max is the upper limit of the heat output of the thermoelectric unit; p W,max is wind power predicted output.
Preferably, solving the system-optimized 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 of the embodiment is to solve the optimal scheduling objective function based on the constraint condition and the set control strategy, so as to realize optimal scheduling of the electrothermal hydrogen multi-energy complementary system. The objective function is solved as a mixed integer optimization problem, comprises a plurality of equality and inequality constraints, and is solved by adopting a particle swarm optimization algorithm in a swarm intelligent optimization algorithm based on MATLAB simulation software.
As an alternative implementation manner, the embodiment also simulates the method, and the embodiment adopts a modified IEEE14 node system to simulate, and the system structure is shown in fig. 4. The wind power installed capacity of the system is 920MW, and the wind power permeability is about 30%; the capacity of the distributed photovoltaic power station is 100MW. Wherein, the nodes 1, 3, 6 and 8 are respectively connected with 4 pure condensing units (# 13- # 16); the node 2 is connected with a thermal power plant which comprises 12 thermoelectric units (# 1- # 12), an electric boiler with the capacity of 200MW and a heat energy storage device with the capacity of 100MW, and 9 heat exchange stations are connected with a heat supply network of the thermal power plant and are distributed in a radial manner; the node 5 is an access node of the wind-solar and hydrogen energy storage unit. The time-of-use electricity price is respectively taken: peak time periods are 9:00-12:00, 17:00-20:00, 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 period is the normal period, and the electricity price is 0.38 yuan/kW.h.
The values of the parameters in the examples are as follows: deltaH is 2327.53kJ/kg, epsilon is 800Nm 3/(MW·h),ηEH is 0.85, eta HS is 0.95, eta GT is 0.4, rho is 2, delta is 3.6, eta EB is 0.95, lambda is 0.32 t/(MW.h).
In addition, parameters of the thermoelectric unit and the pure condensing unit are shown in tables 1-3, predicted output of new energy is shown in fig. 5, and predicted power of load is shown in fig. 6.
Table 1 consumption characteristics fitting coefficient of thermoelectric unit
TABLE 2 consumption characteristics fitting coefficient of pure condensing units
| Unit number | a0 | a1 | a2 |
| 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:
and (H) scheme: by adopting the scheduling method, the charging and discharging power of the hydrogen energy storage unit is 200MW.
E scheme: 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 charge state range is 0.1-0.9.
The two scheduling schemes are simulated according to the calculation data, the input/output power and the hydrogen storage amount of the hydrogen energy storage unit are respectively shown in fig. 7 and 8, the output condition of the electrochemical energy storage unit is shown in fig. 9, and the wind power output pair of the two schemes is shown in fig. 10.
From fig. 7 and 8, it can be seen that the hydrogen energy storage unit is frequently operated, the electrolyzer, the hydrogen storage tank or the hydrogen-burning gas turbine unit is started almost in all periods of the whole process, the comprehensive utilization efficiency reaches more than 90%, and the residual hydrogen state of the hydrogen storage tank shows a double peak and double valley characteristic. Therefore, under the given wind-solar ratio condition, the capacity of the hydrogen energy storage unit configured by the system can meet the corresponding wind power consumption and energy supply requirements. The loss of the electrolytic tank, the hydrogen storage tank and the hydrogen-burning gas turbine unit in the energy conversion process is considered, and 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 characteristic of "two-charge and two-discharge", which accords with the general rule. Compared with the hydrogen energy storage unit, the peak regulation capacity and the electric energy utilization efficiency (73.11%) are slightly inferior. The reason is that the hydrogen storage tank provides a flexible transition space for charging and discharging the hydrogen storage unit, so that the hydrogen storage unit has no rigid energy storage capacity limitation basically, the overall capacity is improved, and 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 wind power predicted value is larger, and the total wind rejection rate of the system is 9.01% and is larger than that of the scheme H (4.99%). The electrochemical energy storage unit has small effective capacity and short energy storage period, so that the effect of peak clipping and valley filling is small, and the effect of absorbing and discarding wind is not as good as that of the hydrogen energy storage unit with the same capacity.
Corresponding to the method, the embodiment also provides an electrothermal hydrogen multi-energy complementary scheduling system based on the hydrogen-burning gas turbine, which comprises the following steps:
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 form of the multi-energy complementary system comprises electric energy, heat energy, wind energy, light energy and hydrogen energy;
The model building module is used for respectively building mathematical models of all the devices in the multi-energy complementary system;
The function construction module is used for constructing a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste wind consumption of the multi-energy complementary system as optimization targets based on each mathematical model;
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, thermal energy storage capacity constraint and unit output constraint;
and the scheduling module is used for solving the optimal scheduling objective function of the system based on the constraint conditions and the control strategy so as to realize optimal scheduling of the electrothermal hydrogen multi-energy complementary system.
The beneficial effects of the invention are as follows:
Aiming at the problems of insufficient system peak regulation capability and new energy consumption caused by large-scale wind-solar grid connection, the invention provides the electrothermal hydrogen multi-energy complementary scheduling method and system based on the hydrogen-burning gas turbine, which fully utilize the space-time complementary characteristic of the system and the capability of converting between different energy forms, widen the multi-energy complementary way, realize the multi-element conversion of energy and the improvement of comprehensive energy efficiency, wherein the electric energy utilization efficiency of the hydrogen energy storage unit based on the hydrogen-burning gas turbine is about 75%, reach the energy efficiency level of pumping and storage, and have a certain practical value. Compared with the traditional dispatching method mainly based on electrochemical energy storage, the dispatching method has the advantage of peak shaving, and the system also shows higher new energy consumption level, so that the cleaning and high efficiency in the true sense are realized.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (5)
1. An electrothermal 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 form of the multi-energy complementary system comprises 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, wherein the devices of the multi-energy complementary system comprise an upper power grid, a heat supply network, distributed photovoltaics, wind power, a hydrogen energy storage unit, an electric boiler, a heat energy storage and a load demand party; the hydrogen energy storage unit comprises an electrolytic tank, a hydrogen storage tank and a hydrogen-burning gas turbine unit; the establishing mathematical models of all the devices in the multi-energy complementary system respectively comprises the following steps:
Establishing a pure thermal power unit model of the upper power grid; the pure thermal power unit model is Wherein F CON is the coal consumption of the pure thermal power unit; p CON is the electric power of the pure thermal power unit; a 0、a1 and a 2 are fitting coefficients of a pure fossil power unit;
establishing a thermoelectric unit model of the heat supply network; the thermoelectric unit model is Wherein F CHP is the coal consumption of the thermoelectric unit; p CHP is the electrical power of the thermoelectric unit; d is the heat supply steam extraction quantity of the thermoelectric unit; b 0、b1、b2、b3、b4 and b 5 are fitting coefficients of the thermoelectric unit; q CHP is the thermal power of the thermoelectric unit; Δh is the vapor enthalpy drop;
establishing a hydrogen energy storage model of the hydrogen energy storage unit; the hydrogen energy storage model is Wherein/>Hydrogen production for period t; epsilon is the electro-hydrogen conversion coefficient; η EH is the efficiency of the electrolyzer; /(I)The input electric power of the electrolytic tank is t time period; /(I)The hydrogen storage amount of the hydrogen storage tank is respectively t time period and t-1 time period; /(I)Respectively the input quantity and the output quantity of the hydrogen storage tank in the t period; η HS is the hydrogen storage efficiency of the hydrogen storage tank; /(I)The output electric power and the heat supply of the hydrogen-burning gas turbine are respectively t time periods; η GT is the power generation efficiency of the hydrogen-fired gas turbine; ρ is the heat-to-power ratio of the hydrogen-fired gas turbine;
Establishing a boiler model of the electric boiler; the boiler model of the electric boiler is Wherein/>The power consumption and the heat generation power of the electric boiler in the t period are respectively; delta is an electrothermal conversion coefficient, eta EB is the heat production efficiency of the electric boiler;
Based on each mathematical model, a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste wind consumption of the multi-energy complementary system as optimization targets is established, and the system optimization scheduling objective function specifically comprises the following steps:
The system optimizes the scheduling objective function as Wherein F is the total coal consumption of the multi-energy complementary system; u, V are the number of the pure condensing units and the thermoelectric units respectively; /(I)The coal consumption of the u-th pure thermal power unit in the t period; /(I)Coal consumption of the v-th thermoelectric unit in the t period; /(I)The wind discarding power is t time period; lambda is a wind abandon punishment coefficient; t is the total time period number of one scheduling period; Δt is the time interval of one scheduling period;
Determining constraint conditions of system optimization scheduling; the constraint conditions comprise power balance constraint, hydrogen energy storage unit operation constraint, electric boiler power constraint, thermal energy storage capacity constraint and unit output constraint;
and solving the optimal scheduling objective function of the system based on the constraint condition and the control strategy so as to realize optimal scheduling of the electrothermal hydrogen multi-energy complementary system.
2. The hydrogen-fired gas turbine-based electrothermal hydrogen multipotency complementary scheduling method of claim 1, wherein the control strategy comprises:
Starting a hydrogen energy storage unit in the multi-energy complementary system to produce hydrogen in a period when the wind abandoning or electricity price valley exists in the multi-energy complementary system by using the acquired time-sharing electricity price data and wind power internet surfing data;
And in the load peak time, dispatching the hydrogen energy storage unit to generate power according to optimization calculation, and starting the heat energy storage device in the multi-energy complementary system to store heat when the heat supply of the hydrogen-burning gas turbine unit in the multi-energy complementary system is larger than the heat load demand.
3. The hydrogen-fired gas turbine-based electrothermal hydrogen multipotency complementary scheduling method of claim 1, wherein the determining a constraint condition for system optimization scheduling comprises:
Constructing the power balance constraint; the power balance constraint is that Wherein/>The electric power of the u-th pure condensing unit in the t period; /(I)The electric power of the v-th thermoelectric unit of the thermal power plant in the t period; wind power internet power at t time period; /(I) Photovoltaic power for period t; /(I)The total power supply load is t time periods; /(I)The thermal power of a v-th thermoelectric unit of the thermal power plant in the t period; r is the number of heat exchange stations; /(I)GJ/h is the heat load of the r heat exchange station in the t period; /(I)The heat storage and release power of the heat energy storage device is t time periods; ζ TS is the heat storage and release state of the heat energy storage device, and the value is 0 or 1;
constructing the hydrogen energy storage unit operation constraint; the operation constraint of the hydrogen energy storage unit is that Wherein P EH,max is the maximum power consumption of the electrolytic cell; /(I)The variation of the input power of the electrolytic tank is t time period; ΔP EH,max、ΔPEH,min is the maximum value and the minimum value of the climbing rate of the electrolytic tank respectively; w HS,max is the maximum hydrogen storage amount of the hydrogen storage tank; /(I)The balance of the hydrogen storage tank is t time period; r HS,max、RHS,min is the maximum value and the minimum value of the residual quantity of the hydrogen storage tank respectively; p GT,max、PGT,min is the maximum and minimum output of the hydrogen-burning gas turbine respectively;
Constructing the electric boiler power constraint; the electric boiler power constraint is as follows:
wherein P EB,max is the maximum power of the electric boiler; /(I) The input power variation of the electric boiler is t time period; ΔP EB,max、ΔPEB,min is the maximum value and the minimum value of the climbing rate of the electric boiler respectively;
Constructing the unit output constraint; the output constraint of the unit is that Wherein, P CON,max、PCON,min is the maximum and minimum output of the pure condensing unit respectively; d max、Dmin is the maximum and minimum steam extraction quantity of the thermoelectric unit respectively; p CHP,max(D)、PCHP,min (D) is the maximum and minimum output of the thermoelectric unit respectively; q CHP,max is the upper limit of the heat output of the thermoelectric unit; p W,max is wind power predicted output.
4. The hydrogen-fired gas turbine-based electrothermal hydrogen multipotency complementary scheduling method of 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.
5. A hydrogen-fired gas turbine-based electrothermal hydrogen multi-energy complementary scheduling system based on a hydrogen-fired gas turbine-based electrothermal hydrogen multi-energy complementary scheduling method as claimed in any one of claims 1 to 4, 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 form of the multi-energy complementary system comprises electric energy, heat energy, wind energy, light energy and hydrogen energy;
The model building module is used for respectively building mathematical models of all the devices in the multi-energy complementary system;
The function construction module is used for constructing a system optimization scheduling objective function taking the minimum total coal consumption and the maximum waste wind consumption of the multi-energy complementary system as optimization targets based on each mathematical model;
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, thermal energy storage capacity constraint and unit output constraint;
and the scheduling module is used for solving the optimal scheduling objective function of the system based on the constraint conditions and the control strategy so as to realize optimal scheduling of the electrothermal hydrogen multi-energy complementary system.
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