CN113251459A - Method and system for deep peak shaving of thermoelectric unit - Google Patents
Method and system for deep peak shaving of thermoelectric unit Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D3/00—Hot-water central heating systems
- F24D3/02—Hot-water central heating systems with forced circulation, e.g. by pumps
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
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- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
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- F24D3/00—Hot-water central heating systems
- F24D3/10—Feed-line arrangements, e.g. providing for heat-accumulator tanks, expansion tanks ; Hydraulic components of a central heating system
- F24D3/1058—Feed-line arrangements, e.g. providing for heat-accumulator tanks, expansion tanks ; Hydraulic components of a central heating system disposition of pipes and pipe connections
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Abstract
本发明公开了一种热电机组深度调峰的方法及系统，包括：确定不同室外温度下，各个电负荷的供热欲度值及机组的临界电负荷；通过曲线拟合得到不同电负荷下的供热裕度与室外温度的函数关系；以及临界电负荷与室外温度的函数关系；根据预测日的室外温度预测值，拟合得到预测日机组各个电负荷的供热裕度与时间的函数关系；结合热网传输时间，基于所述函数关系确定机组开始以当前负荷下最大供热能力方式运行向热网进行蓄热的时间，以及热电机组进入深度调峰状态的时间；基于上述时间对热电机组的运行方式进行控制。本发明方法可在不增加设备投入的情况下实现热电解耦，即能保证热网的供热质量又可以提高热电机组的运行灵活性与经济性。
The invention discloses a method and a system for deep peak regulation of a thermal power unit, comprising: determining the heat supply desire value of each electric load and the critical electric load of the unit under different outdoor temperatures; The functional relationship between the heating margin and the outdoor temperature; and the functional relationship between the critical electrical load and the outdoor temperature; according to the predicted value of the outdoor temperature on the forecast day, the functional relationship between the heating margin and time of each electrical load of the unit on the forecast day is obtained by fitting ; Combined with the transmission time of the heat network, based on the functional relationship, determine the time when the unit starts to store heat to the heat network with the maximum heating capacity under the current load, and the time when the thermal power unit enters the deep peak regulation state; The operation mode of the unit is controlled. The method of the invention can realize thermal decoupling without increasing equipment investment, which can not only ensure the heating quality of the heating network, but also improve the operation flexibility and economy of the thermal power unit.
Description
Technical Field
The invention relates to the technical field of thermoelectric unit deep peak shaving, in particular to a thermoelectric unit deep peak shaving method and a thermoelectric unit deep peak shaving system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In recent years, Chinese new energy development has gone the front of the world. Although new energy such as wind power, photovoltaic and the like develops rapidly, the new energy is difficult to absorb and grid-connected due to mismatching of resource enrichment places and power consumption places, technical factors and system obstacles, and the problem is still puzzling the development of the industry.
The thermocouple and the characteristics of the thermoelectric unit determine that the adjustment range of the electric load of the thermoelectric unit is limited by the thermal load, the lower limit of the electric load is limited by the condition of 'fixing the electricity by heat', and the capacity of adjusting the electric power cannot be fully exerted. In order to improve the capacity of absorbing new energy in the heating period of the power grid, the peak regulation margin of the thermoelectric unit must be increased by breaking through the constraint of the thermocouple.
At present, a heat supply unit generally adopts a medium-pressure cylinder steam exhaust heat supply mode, the power generation load of the unit cannot be lower than a certain limit value under the condition that the heat supply amount of the unit is certain, and the mode of 'fixing power by heat' limits the deep peak regulation capacity of the heat supply unit in the heat supply period. Therefore, on the premise of meeting the thermal load, the output of the unit is further reduced, the deep peak regulation capacity of the unit is improved, and the thermal-electric coupling relation of the unit in the heat supply period needs to be broken. The common thermoelectric decoupling technology comprises the modes of bypass heat supply of a steam turbine, heat supply by cutting off a low-pressure cylinder, heat supply by using a heat storage device, heat supply by using an electric boiler, heat supply by using a heat pump technology and the like.
The thermoelectric decoupling technologies need to modify a unit or a thermodynamic system, the modification investment is large, the heat supply economy is poor, and the safety of the modified unit needs to be further verified.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for deep peak shaving of a thermoelectric power unit, wherein the power unit can provide larger heat to a heat supply network before the deep peak shaving, the heat is stored in the heat supply network, and when the power generation of new energy is in a peak period and a power grid is in a low valley period, the thermoelectric power unit can reduce or even stop heat supply, so that the electric load of the power unit can be reduced to be lower, and a larger space is reserved for absorbing the new energy.
In order to achieve the above purpose, in some embodiments, the following technical solutions are adopted:
a method of deep peak shaving of a thermoelectric power generation unit, comprising:
determining the heat supply desire value of each electric load and the critical electric load of the unit at different outdoor temperatures;
obtaining a functional relation between the heat supply margin and the outdoor temperature under different electric loads through curve fitting; and a functional relationship of the critical electrical load to the outdoor temperature;
according to the outdoor temperature predicted value of the predicted day, respectively determining the heat supply margin of each electric load of the predicted day and the critical electric load of the unit through the fitted functional relation; fitting to obtain a function relation between the heat supply margin of each electric load of the prediction daily unit and time;
determining the time for the unit to start running in the mode of the maximum heat supply capacity under the current load to store heat to the heat supply network and the time for the thermoelectric unit to enter a deep peak shaving state based on the function relation by combining the transmission time of the heat supply network;
and controlling the operation mode of the thermoelectric unit based on the time.
In other embodiments, the following technical solutions are adopted:
a system for deep peaking of thermoelectric power generation units, comprising:
the data acquisition module is used for determining the heat supply desire value of each electric load and the critical electric load of the unit at different outdoor temperatures;
the function fitting module is used for obtaining a function relation between the heat supply margin and the outdoor temperature under different electric loads through curve fitting; and a functional relationship of the critical electrical load to the outdoor temperature;
according to the outdoor temperature predicted value of the predicted day, respectively determining the heat supply margin of each electric load of the predicted day and the critical electric load of the unit through the fitted functional relation; fitting to obtain a function relation between the heat supply margin of each electric load of the prediction daily unit and time;
the deep peak shaving module is used for determining the time for the unit to start running in the mode of the maximum heat supply capacity under the current load to accumulate heat to the heat supply network and the time for the thermoelectric unit to enter a deep peak shaving state based on the functional relation by combining the transmission time of the heat supply network; and controlling the operation mode of the thermoelectric unit based on the time.
In other embodiments, the following technical solutions are adopted:
a terminal device comprising a processor and a memory, the processor being arranged to implement instructions; the memory is used for storing a plurality of instructions which are suitable for being loaded by the processor and executing the thermoelectric unit deep peak shaving method.
In other embodiments, the following technical solutions are adopted:
a computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to perform the above-mentioned method of thermoelectric power unit depth peaking.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, a unit or a thermodynamic system does not need to be modified, the thermal inertia of the existing heat supply network is fully utilized, the peak regulation margin of the unit is increased, and the capacity of a power grid for absorbing new energy in a heating period is improved.
The method can realize thermoelectric decoupling without increasing equipment investment, not only can ensure the heat supply quality of a heat supply network, but also can improve the operation flexibility and the economical efficiency of the thermoelectric generator set, and obtain both economic benefit and social benefit.
Additional features and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a schematic structural diagram of a heat supply network using a condensing unit as a heat source in an embodiment of the present invention;
FIG. 2 is an electrical load curve for a next day in an embodiment of the present invention;
fig. 3 is a heat supply margin curve of the next day unit in the embodiment of the invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example one
And when the thermal load of the unit is determined, the adjustable range of the electrical load of the unit is determined accordingly. If the unit is required to carry out the peak load regulation in a wider range, the heat load of the unit is required to be changed. Considering that the heat supply network has great thermal inertia, the unit can provide larger heat to the heat supply network before deep peak shaving, the heat is stored in the heat supply network, when the new energy power generation is in a peak period and the power grid is in a valley period, the thermoelectric unit can reduce or even stop heat supply, the electric load of the unit can be reduced to be lower, and a larger space is reserved for absorbing the new energy.
Taking a condensing unit as an example, a heat supply network structure taking the condensing unit as a heat source is shown in figure 1; the heating system is a complex system, and can be properly simplified and made as follows in order to look at the main contradiction:
the standard indoor temperature of each building in the heat supply network is 18 ℃;
the adjusting mode of the heating system is quality adjustment, and the flow of hot water in the pipe network is constant, medium loss is avoided, and heat dissipation loss is avoided;
neglecting the time required by the variable load of the unit and the heat exchange of the heat exchanger;
the outdoor temperature is unchanged in the process of adjusting the heating system;
neglecting the influence of factors such as solar radiation, different heights, different orientations and the like on the heat transfer of the building.
Based on the above conditions, according to the embodiment of the invention, a method for deep peak shaving of a thermoelectric power unit is disclosed, which comprises the following steps:
(1) determining the heat supply desire value of each electric load and the critical electric load of the unit at different outdoor temperatures;
specifically, first, the heat transfer time is determined: the heat source provides heat to the heat network, and the heat is transmitted from the heat exchange station to each building in the heat network in a time-consuming manner, and the transmission time of the heat is approximate to the flowing time of the hot water in the pipeline. If the farthest transmission distance of the heat supply network is N (m), and the flow rate of the hot water is v (m/s), the transmission time δ t of the heat is N/v.
The heat load of the heat supply network is then obtained: when the heat supply network is in a heat balance state, namely the room temperature is constant, the heat provided by the heat source to the heat supply network through the heat exchanger is the heat load of the heat supply network. The indoor temperature of each building in the heat supply network is stabilized to be 18 ℃ by adjusting the operating parameters of the thermoelectric generator set; the heat supply Q1 of the unit is the heat supply network heat load at the current outdoor temperature.
Obtaining the maximum heat supply of the unit: the electric load of the thermoelectric unit is stabilized, the heating steam extraction flow is increased by changing the opening degree of the heat supply butterfly valve and the steam extraction regulating valve, the heat supply amount of the unit to the heat supply network is increased until the related protection condition of the unit is triggered or the indoor temperature of each building reaches 24 ℃, and at the moment, the heat supply amount Q2 of the unit is the maximum heat supply amount under the current electric load.
The test is repeated from high to low until the electric load of the unit is reduced to the critical electric load P1, and Q2 is Q1.
The electric load of the unit is continuously reduced, when the electric load of the unit is lower than the critical electric load P1, the heat supply amount of the unit cannot meet the requirement of a heat supply network, the heating steam extraction flow is increased by changing the opening degree of a heat supply butterfly valve and a steam extraction regulating valve, the heat supply amount of the unit to the heat supply network is increased until the related protection condition of the unit is triggered, and the maximum heat supply amount Q2 of the unit under the current electric load can be obtained.
Calculating to obtain delta Q (Q2-Q1) under each electric load; wherein Q2 is the maximum heat supply under the current electric load, and Q1 is the heat supply network heat load under the set outdoor temperature; the critical electrical load P1 of the unit is the electrical load of the unit when Q2 is Q1.
(2) Obtaining a functional relation between the heat supply margin and the outdoor temperature under different electric loads through curve fitting; and a functional relationship of the critical electrical load to the outdoor temperature;
specifically, the process of the step (1) is repeated under the condition of different outdoor temperatures, and the delta Q value of each electric load and the critical electric load P1 of the unit are obtained under the condition of different outdoor temperatures.
The outdoor temperature is used as an independent variable, the delta Q value corresponding to the same electric load is used as a dependent variable, the fitting function delta Q ═ f (T) can obtain the functional relation between the heat supply margin and the outdoor temperature under the same electric load, and the like, the fitting function delta Q ═ f (T) under each electric load can obtain the functional relation between the heat supply margin and the outdoor temperature under each electric load.
The fitting function P1 ═ f (t) with outdoor temperature as the independent variable and critical load P1 value as the dependent variable.
(3) According to the outdoor temperature predicted value of the next day, respectively determining the heat supply margin of each electric load of the next day and the critical electric load of the unit through the fitted functional relation; fitting to obtain a function relation between the heat supply margin of each electric load of the next day unit and time;
in particular, the amount of the solvent to be used,
and (3) respectively calculating the delta Q values of the critical electric load P1 of the unit on the next day and each electric load by using the function obtained in the step (2) according to the predicted outdoor temperature on the next day.
According to the electric load curve of the next day as shown in FIG. 2, the heating margin curve of the unit of the next day can be drawn by combining the results obtained above, as shown in FIG. 3, and fitting a function relation delta Q of delta Q and time(t)＝f(t)。
(4) Determining the time for the unit to start running in the mode of the maximum heat supply capacity under the current load to store heat to the heat supply network and the time for the thermoelectric unit to enter a deep peak shaving state based on the function relation by combining the transmission time of the heat supply network;
(5) and controlling the operation mode of the thermoelectric unit based on the obtained time.
Specifically, when the unit electrical load is less than P1, the unit enters the deep peak shaving state,namely, the time period from t1 to t2 is the peak shaving time period of the unit depth. The maximum heat supply capacity of the unit is smaller than the heat load of the heat supply network during the deep peak shaving period, and the heat supply network is in a low-heat state. Integrating time to obtain accumulated insufficient heat during deep peak regulation
As shown in fig. 3, the time period from time t3 to t1 is the heat transfer time calculated in step (1). Solution equation
The time t4 is obtained.
Through the steps, the method for realizing the deep peak shaving of the thermoelectric generator set by adjusting the operation mode of the heat supply network can be obtained, namely, the unit is operated in the mode of the maximum heat supply capacity under the current load from time t4 to store heat to the heat supply network until time t3, the heat load of the thermoelectric generator set is recovered to the heat load of the heat supply network until time t1, at the moment, all heat stored by the thermoelectric generator set to the heat supply network is transferred to each building in the heat supply network, and the indoor temperature of each building is correspondingly increased.
From time t1 to time t2, the thermoelectric power generation unit enters a deep peak shaving state, the heat supply capacity of the unit is smaller than the heat load required by the heat supply network in the process, the insufficient part is supplemented by the heat accumulated in the building in the early stage, the indoor temperature of each building is in the process of falling, the heat accumulated is equal to the accumulated insufficient heat, so the indoor temperature of each building is recovered to 18 ℃ at time t2, and the heat supply amount of the unit can be recovered to the heat load of the heat supply network after the indoor temperature of each building is reduced.
The above is an example of the method of this embodiment, and in practical application, a more targeted control strategy may be adopted for actual situations of each thermoelectric power unit under the premise that the principle is not changed. The method can realize thermoelectric decoupling without increasing equipment investment, not only can ensure the heat supply quality of a heat supply network, but also can improve the operation flexibility and the economical efficiency of the thermoelectric generator set, and obtain economic benefits and social benefits.
Example two
In one or more embodiments, a system for deep peaking of a thermoelectric power generation unit is disclosed, comprising:
the data acquisition module is used for determining the heat supply desire value of each electric load and the critical electric load of the unit at different outdoor temperatures;
the function fitting module is used for obtaining a function relation between the heat supply margin and the outdoor temperature under different electric loads through curve fitting; and a functional relationship of the critical electrical load to the outdoor temperature;
according to the outdoor temperature predicted value of the predicted day, respectively determining the heat supply margin of each electric load of the predicted day and the critical electric load of the unit through the fitted functional relation; fitting to obtain a function relation between the heat supply margin of each electric load of the prediction daily unit and time;
the deep peak shaving module is used for determining the time for the unit to start running in the mode of the maximum heat supply capacity under the current load to accumulate heat to the heat supply network and the time for the thermoelectric unit to enter a deep peak shaving state based on the functional relation by combining the transmission time of the heat supply network;
and controlling the operation mode of the thermoelectric unit based on the obtained time.
It should be noted that specific implementation manners of the modules have been described in the first embodiment, and are not described herein again.
EXAMPLE III
In one or more embodiments, a terminal device is disclosed, which includes a server, where the server includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the method for deep peak shaving of a thermoelectric power generation unit in the first embodiment. For brevity, no further description is provided herein.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software.
The method for deep peak shaving of the thermoelectric generator set in the first embodiment may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. To avoid repetition, it is not described in detail here.
Those of ordinary skill in the art will appreciate that the various illustrative elements, i.e., algorithm steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
Example four
In one or more embodiments, a computer-readable storage medium is disclosed, in which a plurality of instructions are stored, the instructions being adapted to be loaded by a processor of a terminal device and to perform the method for deep peaking of a thermoelectric generation set as described in the first embodiment.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A method for deep peak shaving of a thermoelectric unit is characterized by comprising the following steps:
determining the heat supply desire value of each electric load and the critical electric load of the unit at different outdoor temperatures;
obtaining a functional relation between the heat supply margin and the outdoor temperature under different electric loads through curve fitting; and a functional relationship of the critical electrical load to the outdoor temperature;
according to the outdoor temperature predicted value of the predicted day, respectively determining the heat supply margin of each electric load of the predicted day and the critical electric load of the unit through the fitted functional relation; fitting to obtain a function relation between the heat supply margin of each electric load of the prediction daily unit and time;
determining the time for the unit to start running in the mode of the maximum heat supply capacity under the current load to store heat to the heat supply network and the time for the thermoelectric unit to enter a deep peak shaving state based on the function relation by combining the transmission time of the heat supply network;
and controlling the operation mode of the thermoelectric unit based on the time.
2. The method for deep peak shaving of thermoelectric power generation units as claimed in claim 1, wherein the obtaining of the heat transfer time of the heat supply network specifically comprises: the ratio of the farthest transport distance of the heat network to the flow rate of the hot water.
3. The method of claim 1, wherein determining the heat supply desire value of each electrical load and the critical electrical load of the thermoelectric generating set at different outdoor temperatures comprises:
the heat supply desire value of each electrical load is: δ Q ═ Q2-Q1;
wherein Q2 is the maximum heat supply under the current electric load, and Q1 is the heat supply network heat load under the set outdoor temperature; the critical electrical load P1 of the unit is the electrical load of the unit when Q2 is Q1.
4. The method for deep peak shaving of thermoelectric power generating units according to claim 1,
based on the obtained heat supply desire values of the electric loads and the critical electric loads of the unit at different outdoor temperatures, fitting to obtain a function relation between the heat supply margin and the outdoor temperature under each electric load by taking the outdoor temperature as an independent variable and the heat supply desire values corresponding to the same electric load as a dependent variable; and fitting to obtain a functional relation between the critical electrical load and the outdoor temperature by taking the outdoor temperature as an independent variable and the critical load value as a dependent variable.
5. The method for thermoelectric power unit deep peak shaving according to claim 1, wherein the fitting to obtain a function relationship of the heat supply margin of each electric load of the prediction daily power unit and time specifically comprises:
and according to the electric load curve of the forecast day, combining the heat supply margin of each electric load of the forecast day and the critical electric load of the unit, forecasting the heat supply margin curve of the unit of the day, and fitting the function relation between the heat supply margin and the time.
6. The method for deep peak shaving of the thermoelectric generating set according to claim 1, wherein when the electrical load of the set is less than the critical electrical load of the set, the set enters a deep peak shaving state; integrating the depth peak-shaving time period to obtain the accumulated insufficient heat during the depth peak-shaving period
By solving equations
Obtaining the time t4 when the unit starts to operate in the mode of the maximum heat supply capacity under the current load to store heat in the heat network;
wherein t 1-t 2 are time periods when the unit enters a deep peak shaving state; time t3 is determined based on time t1 and the heat transfer time of the heat network.
7. The method of claim 6, wherein the operation of the thermal power generation unit with maximum heating capacity under current load is started from time t4, the thermal storage of the thermal power grid is performed until time t3, and then the thermal load of the thermal power generation unit is recovered to the thermal load of the thermal power grid until time t1, and the heat stored in the thermal power generation unit to the thermal power grid is completely transferred to each building in the thermal power grid, and the indoor temperature of each building is increased correspondingly;
from time t1 to time t2, the thermoelectric power units enter a deep peak shaving state, the indoor temperature of each building is in a descending process, the heat stored is equal to the accumulated underheat, the indoor temperature of each building is recovered to the set temperature at time t2, and the heat supply amount of the power units can be recovered to the heat load of the heat supply network.
8. A thermoelectric unit deep peaking system, comprising:
the data acquisition module is used for determining the heat supply desire value of each electric load and the critical electric load of the unit at different outdoor temperatures;
the function fitting module is used for obtaining a function relation between the heat supply margin and the outdoor temperature under different electric loads through curve fitting; and a functional relationship of the critical electrical load to the outdoor temperature;
according to the outdoor temperature predicted value of the predicted day, respectively determining the heat supply margin of each electric load of the predicted day and the critical electric load of the unit through the fitted functional relation; fitting to obtain a function relation between the heat supply margin of each electric load of the prediction daily unit and time;
the deep peak shaving module is used for determining the time for the unit to start running in the mode of the maximum heat supply capacity under the current load to accumulate heat to the heat supply network and the time for the thermoelectric unit to enter a deep peak shaving state based on the functional relation by combining the transmission time of the heat supply network; and controlling the operation mode of the thermoelectric unit based on the time.
9. A terminal device comprising a processor and a memory, the processor being arranged to implement instructions; the memory is used for storing a plurality of instructions, wherein the instructions are suitable for being loaded by the processor and executing the thermoelectric power generation unit deep peaking method according to any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon a plurality of instructions, wherein the instructions are adapted to be loaded by a processor of a terminal device and to perform the method of thermoelectric power generation unit depth peaking according to any one of claims 1 to 7.
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