CN109782602B - Intelligent dynamic optimization method for operation of phase-change heat storage system - Google Patents
Intelligent dynamic optimization method for operation of phase-change heat storage system Download PDFInfo
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Abstract
The invention discloses an intelligent dynamic optimization method for operation of a phase change heat storage system. The method is applied to a phase-change heat storage system and comprises the following steps: establishing a dynamic control model of the phase change heat storage unit, a fluctuation model of the complementary energy unit and a fluctuation model of the user unit; determining an operation constraint condition of the phase change heat storage system according to a dynamic control model of the phase change heat storage unit, a fluctuation model of the complementary energy unit and a fluctuation model of the user unit, and establishing an operation optimization model of the phase change heat storage system; and performing iterative optimization calculation on the operation optimization model of the phase change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis flow of the phase change heat storage unit to determine an operation strategy of the phase change heat storage system. The technical scheme disclosed by the invention can establish an intelligent dynamic optimization mechanism which takes system change as input and takes an operation strategy as output for the phase change heat storage system, efficiently utilize complementary energy resources, save the consumption of fossil energy and further reduce the environmental pollution.
Description
Technical Field
The embodiment of the invention relates to the technical field of energy, in particular to an intelligent dynamic optimization method for operation of a phase change heat storage system.
Background
The phase-change heat storage system is an efficient heat storage system capable of storing heat by utilizing phase-change latent heat of materials, and has the advantages of good economy, high energy density, stable heat storage/release performance and the like.
The operation process of the phase change heat storage system is a nonlinear dynamic process with state parameters changing along with time, the existing phase change heat storage system mostly represents the operation process of a phase change heat storage unit through a steady state theory work model, only an upper limit value and a lower limit value of the outputtable power of the phase change heat storage unit are taken as operation limiting conditions, the influence of the dynamic performance of the phase change heat storage unit and the change of the physical performance of a phase change material on the heat transfer process is not considered, and a constraint relation is not established between the change of the phase change heat storage unit and the fluctuation of a residual energy unit and a user unit, so that the operation of the phase change heat storage system is separated from the actual working condition.
Disclosure of Invention
The invention provides an intelligent dynamic optimization method for the operation of a phase-change heat storage system, which can establish an intelligent dynamic optimization mechanism for the phase-change heat storage system by taking system change as input and taking an operation strategy as output, efficiently utilize complementary energy resources, save the consumption of fossil energy and further reduce the environmental pollution.
In a first aspect, an embodiment of the present invention provides an intelligent dynamic optimization method for operation of a phase change heat storage system, which is applied to the phase change heat storage system, where the phase change heat storage system includes a phase change heat storage unit, a complementary energy unit, and a user unit, and the method includes:
establishing a dynamic control model of the phase change heat storage unit, a fluctuation model of the complementary energy unit and a fluctuation model of the user unit;
determining an operation constraint condition of the phase change heat storage system according to a dynamic control model of the phase change heat storage unit, a fluctuation model of the complementary energy unit and a fluctuation model of the user unit, and establishing an operation optimization model of the phase change heat storage system;
and performing iterative optimization calculation on the operation optimization model of the phase change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis flow of the phase change heat storage unit to determine an operation strategy of the phase change heat storage system.
Optionally, the dynamic control model of the phase-change heat storage unit comprises a heat storage model and a heat release model,
the heat storage model is
The heat release model is
Wherein, TmodThe average temperature of the heat storage main body of the phase-change heat storage unit; m ismodMass of the heat storage body of the phase change heat storage unit; m ispcmThe mass of the phase change material of the phase change heat storage unit;
and
the temperatures of heat transfer media at the inlet and the outlet of the phase-change heat storage unit are respectively; m isHTFAnd cHTFMass and specific heat of the heat transfer medium, respectively; h is the heat exchange coefficient of the phase change heat storage unit; a is the heat exchange area of the phase change heat storage unit; eta is the dynamic heat transfer proportion between the heat transfer medium of the phase-change heat storage unit and the heat storage main body; c. CSThe specific heat of the solid phase of the phase-change heat storage unit; c. CLThe liquid phase specific heat of the phase-change heat storage unit;
and
respectively storing and releasing heat of the phase-change heat storage unit; c. ChIs equivalent latent heat specific heat of the phase change heat storage unit
HpcmIs the latent heat of phase change of the material;
the average temperature of the phase change heat storage unit at a solid phase change point is obtained;
the average temperature of the phase-change heat storage unit at the liquid phase change point is shown.
Optionally, the heat storage main body of the phase-change heat storage unit is composed of a phase-change heat storage material and a containing body thereof.
Optionally, the fluctuation model of the complementary energy unit is
Wherein, ThrThe temperature of the waste heat resource of the waste energy unit; vhrThe residual heat resource flow of the residual energy unit; l is the production load; t is time; f (x, y) is the corresponding temperature function; g (x, y) is the corresponding flow function.
Optionally, the fluctuation model of the subscriber unit is Luser(t)＝(Lbase(t)+Lweat(t))δscal；
Wherein L isuserIs the life load of the user; l isbaseA base load for the user; l isweatIs a weather sensitive load of the user; deltascalIs the scale factor of the user.
Optionally, the operating constraint of the phase-change heat storage system is
Wherein,
the highest temperature which can be borne by the phase change heat storage unit; t ishr-modThe contact temperature of the phase-change heat storage unit and the heat transfer medium is set;
the highest contact temperature of the phase-change heat storage unit and the heat transfer medium is set; t ishr-userThe temperature of the heat transfer medium for supplying the residual energy unit to a user;
and
minimum and maximum heat transfer medium temperatures to be supplied to the user for the waste energy unit, respectively; t ismod-userSupplying the temperature of a heat transfer medium to a user for the phase change heat storage unit;
and
the lowest and highest heat transfer medium temperatures for the phase change heat storage unit to supply users, respectively; vhr-modThe heat transfer medium flow rate of the phase change heat storage unit is supplied to the complementary energy unit;
the highest heat transfer medium flow rate for supplying the complementary energy unit to the phase change heat storage unit; vhr-userThe flow of the heat transfer medium for supplying the surplus energy unit to the user;
and
for supplying residual energy units separatelyThe lowest and highest heat transfer medium flow rates of the households; vmod-userThe flow of the heat transfer medium for supplying the phase change heat storage unit to a user;
and
the lowest and highest heat transfer medium flow rates that supply the user to the phase change heat storage unit are provided, respectively.
Optionally, the operation optimization model of the phase-change heat storage system is
Wherein, JfuelFossil energy for optimizing cycle consumption; n is the number of adjusting sections for dividing the optimization cycle; j is the jth conditioning segment; delta t is the adjustment period time;
supplying power for a user for waste heat resources of the waste energy unit; etaT-LEfficiency of heat transfer to customer load;
supplying power to a user for the phase change heat storage unit; phi is aL-TThe fossil energy consumed for the unit load of the user.
Optionally, the intelligent optimization algorithm is a biophysical optimization algorithm.
Optionally, iterative optimization calculation is performed on an operation optimization model of the phase change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis flow of the phase change heat storage unit, and the iterative optimization calculation specifically includes:
performing iterative optimization calculation within 100 generations on an operation optimization model of the phase-change heat storage system by using a biophysical optimization algorithm and a dynamic logic analysis flow of the phase-change heat storage unit to determine that the change rate of the optimization value of the phase-change heat storage system is lower than 10-6％。
In a second aspect, an embodiment of the present invention further provides a phase change thermal storage system, which is suitable for any intelligent dynamic optimization method for operation of the phase change thermal storage system in the first aspect of the embodiment of the present invention, where the phase change thermal storage system includes: the system comprises a phase change heat storage unit, a complementary energy unit and a user unit;
the phase change heat storage unit is used for storing the complementary energy resource of the complementary energy unit and releasing heat energy to the user unit;
and the complementary energy unit is used for storing complementary energy resources to the phase change heat storage unit and/or supplying the complementary energy resources to the user unit.
In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for intelligently and dynamically optimizing operations of a phase change thermal storage system according to any one of the first aspect of the embodiments of the present invention.
The method comprises the steps of establishing a dynamic control model of a phase-change heat storage unit, a fluctuation model of a complementary energy unit and a fluctuation model of a user unit; determining an operation constraint condition of the phase change heat storage system according to the dynamic control model of the phase change heat storage unit, the fluctuation model of the complementary energy unit and the fluctuation model of the user unit, and establishing an operation optimization model of the phase change heat storage system; and performing iterative optimization calculation on the operation optimization model of the phase change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis flow of the phase change heat storage unit to determine an operation strategy of the phase change heat storage system. Therefore, an intelligent dynamic optimization mechanism with system change as input and an operation strategy as output is established for the phase-change heat storage system, and an optimal control strategy of the system is determined, so that complementary energy resources are efficiently utilized, consumption of fossil energy is saved, and environmental pollution is reduced.
Drawings
Fig. 1 is a schematic structural diagram of a phase change thermal storage system according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of an intelligent dynamic optimization method for operation of a phase change thermal storage system according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating a dynamic logic analysis flow of a heat storage process of a phase change heat storage unit according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a dynamic logic analysis flow of a heat release process of a phase change heat storage unit according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
It should be noted that the terms "system" and "network" are often used interchangeably in this disclosure. Reference to "and/or" in embodiments of the invention is intended to include any and all combinations of one or more of the associated listed items. The terms "first", "second", and the like in the description and claims of the present invention and in the drawings are used for distinguishing between different objects and not for limiting a particular order.
It should be noted that the following embodiments of the present invention may be implemented individually, or may be implemented in combination with each other, and the embodiments of the present invention are not limited in this respect.
Fig. 1 is a schematic structural diagram of a phase change heat storage system according to an embodiment of the present invention, and as shown in fig. 1, the phase change heat storage system includes: phase change heat storage unit 10, complementary energy unit 11 and user unit 12. The phase change heat storage unit 10 is respectively connected with the complementary energy unit 11 and the user unit 12, and the complementary energy unit 11 is connected with the user unit 12.
And the phase change heat storage unit 10 is used for storing the residual energy resource of the residual energy unit 11 and releasing heat energy to the user unit 12. The phase change heat storage unit 10 is an energy buffer area established between supply and demand, and can reduce the consumption of fossil energy and the emission of pollutants by peak clipping and valley filling.
Specifically, the phase change heat storage unit 10 may be formed of a plurality of heat storage modules based on an integration concept, and may be used in combination with complementary energy resources of different scales and energy levels.
And the residual energy unit 11 is used for storing residual energy resources in the phase change heat storage unit 10 and/or supplying the residual energy resources to the user unit 12.
Specifically, the residual energy unit 11 can store the residual energy resource into the heat storage module of the phase change heat storage unit 10 in the energy consumption valley in a heat energy mode, so that the heat storage module of the phase change heat storage unit 10 releases heat to the user unit 12 at the energy consumption peak of the phase change heat storage system, and a peak clipping and valley filling energy supply mode is realized.
It should be noted that the phase change heat storage system shown in fig. 1 is only a basic structure of the phase change heat storage system, and the actual phase change heat storage system may further include residual energy generation and load consumption equipment, which are well known to those skilled in the art, and do not affect the intelligent dynamic optimization method for the operation of the phase change heat storage system provided by the present invention, and therefore, details are not described again.
The following describes in detail an intelligent dynamic optimization method for the operation of the phase change heat storage system and its technical effects.
Fig. 2 is a schematic flow chart of an intelligent dynamic optimization method for operation of a phase change heat storage system according to an embodiment of the present invention, where the method disclosed in the embodiment of the present invention is applicable to the phase change heat storage system shown in fig. 1, and as shown in fig. 2, the method may include the following steps:
s101, establishing a dynamic control model of the phase change heat storage unit, a fluctuation model of the complementary energy unit and a fluctuation model of the user unit.
In the embodiment of the invention, the phase-change heat storage material in the heat storage module and the containing body thereof are used as the heat storage main body of the phase-change heat storage unit.
Setting T in consideration of the phase change process of the phase change heat storage unitmodIs the average temperature of the heat storage body of the phase change heat storage unit,
the average temperature of the phase change heat storage unit at a solid phase change point is obtained;
the average temperature of the phase-change heat storage unit at the liquid phase change point is known, and the heat exchange process of the phase-change heat storage unit can be divided into solid-phase sensible heat, phase-change latent heat and liquid-phase sensible heat.
In particular, when
In the process, the heat exchange process of the phase-change heat storage unit is solid-phase sensible heat; when in use
In the process, the heat exchange process of the phase-change heat storage unit is phase-change latent heat; when in use
In the process, the heat exchange process of the phase-change heat storage unit is liquid-phase sensible heat. Solid phase specific heat c of phase change heat storage unitSAnd liquid phase specific heat c of phase change heat storage unitLCan distinguish two sensible heat exchange processes, and adopts equivalent latent heat specific heat capacity c of the phase change heat storage unithThe physical property change of the material in the phase change process can be characterized:
Therefore, the dynamic control model of the phase-change heat storage unit can be established in a segmented manner by adopting the lumped heat capacity method, and comprises a heat storage model and a heat release model.
The heat storage model is
The heat release model is
Wherein, TmodIs the average temperature, T, of the heat storage body of the phase-change heat storage unitmodAs a characteristic parameter of the heat storage state of the phase change heat storage unit; m ismodMass of the heat storage body of the phase change heat storage unit; m ispcmThe mass of the phase change material of the phase change heat storage unit;
and
the temperatures of the heat transfer media at the inlet and outlet of the phase-change heat storage unit, mHTFAnd cHTFMass and specific heat of the heat transfer medium, respectively;
as a parameter indicative of the state of heat input,
as a parameter indicative of the state of heat output; h is the heat exchange coefficient of the phase change heat storage unit, and A is the heat exchange area of the phase change heat storage unit; eta is the dynamic heat transfer proportion between the heat transfer medium of the phase-change heat storage unit and the heat storage main body, wherein h and eta are determined by the operation data of the phase-change heat storage system and are used as the characterization parameters of the heat transfer process.
Furthermore, the waste heat resources can be predicted according to industrial production indexes and processes, and a fluctuation model of the waste energy unit is established by combining historical data.
Specifically, the fluctuation model of the complementary energy unit is
Wherein, ThrThe temperature of the waste heat resource of the waste energy unit; vhrThe residual heat resource flow of the residual energy unit; l is the production load; t is time; f (x, y) is the corresponding temperature function; g (x, y) is the corresponding flow function.
In addition, the user load can be predicted according to the scale of residents, the work and rest rules and the weather conditions, and a fluctuation model of the user unit is established by combining historical data.
Specifically, the fluctuation model of the subscriber unit is Luser(t)＝(Lbase(t)+Lweat(t))δscal；
Wherein L isuserIs the life load of the user; l isbaseA base load for the user; l isweatIs a weather sensitive load of the user; deltascalIs the scale factor of the user.
S102, determining an operation constraint condition of the phase change heat storage system according to the dynamic control model of the phase change heat storage unit, the fluctuation model of the complementary energy unit and the fluctuation model of the user unit, and establishing an operation optimization model of the phase change heat storage system.
After a dynamic control model of the phase-change heat storage unit, a fluctuation model of the complementary energy unit and a fluctuation model of the user unit are established, the highest temperature which can be borne by the phase-change heat storage unit can be determined according to the physical properties of the phase-change material and the structural characteristics of the phase-change heat storage unit
Maximum contact temperature of phase change heat storage unit and heat transfer medium
The highest heat transfer medium flow rate supplied to the phase-change heat storage unit by the energy recovery unit
Meanwhile, the temperature T of the heat transfer medium supplied to the user by the complementary energy unit is determined according to the load requirementhr-userSum flow rate Vhr-userAnd the temperature T of the heat transfer medium supplied to the user by the phase-change heat storage unitmod-userSum flow rate Vmod-userAnd determining the operation constraint conditions of the phase change heat storage system.
Specifically, the operating constraint condition of the phase-change heat storage system is
Wherein, Thr-modThe contact temperature of the phase-change heat storage unit and the heat transfer medium is set;
and
minimum and maximum heat transfer medium temperatures to be supplied to the user for the waste energy unit, respectively;
and
the lowest and highest heat transfer medium temperatures for the phase change heat storage unit to supply users, respectively; vhr-modThe heat transfer medium flow rate of the phase change heat storage unit is supplied to the complementary energy unit;
the highest heat transfer medium flow rate for supplying the complementary energy unit to the phase change heat storage unit;
and
minimum and maximum heat transfer medium flow rates to supply the waste energy unit to the user, respectively;
and
the lowest and highest heat transfer medium flow rates that supply the user to the phase change heat storage unit are provided, respectively.
Further, according to the change trend of the user load, the optimization cycle of the phase change heat storage system is divided into a plurality of adjusting sections; the user load and the waste heat resources (temperature and flow) in the adjusting section are represented by average values, the operation strategy of the phase-change heat storage system is set to be constant, and the optimization problem is converted into a multi-dimensional nonlinear dynamic programming problem. And setting the operation optimization target of the phase change heat storage system to be the minimum fossil energy consumption, and establishing an operation optimization model of the phase change heat storage system.
Specifically, the operation optimization model of the phase-change heat storage system is
Wherein, JfuelFossil energy for optimizing cycle consumption; n is the number of adjusting sections for dividing the optimization cycle; j is the jth conditioning segment; delta t is the adjustment period time;
supplying power for a user for waste heat resources of the waste energy unit; etaT-LEfficiency of heat transfer to customer load;
supplying power to a user for the phase change heat storage unit; phi is aL-TThe fossil energy consumed for the unit load of the user.
S103, carrying out iterative optimization calculation on the operation optimization model of the phase change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis flow of the phase change heat storage unit, and determining an operation strategy of the phase change heat storage system.
Firstly, after an operation optimization model of the phase-change heat storage system is established, a dynamic logic analysis flow of the phase-change heat storage unit in different working modes is established through expert decision. Specifically, a dynamic logic analysis flow of the phase change heat storage unit can be established according to the start and the interruption of the heat storage and release processes and the boundary parameters of sensible heat and latent heat physical properties of the material.
The embodiment of the invention also introduces a dynamic logic analysis flow of the heat storage process of the phase change heat storage unit. Fig. 3 is a schematic diagram of a dynamic logic analysis flow of a heat storage process of a phase change heat storage unit according to an embodiment of the present invention. As shown in fig. 3, for the heat storage process: solid phase transition temperature using phase change heat storage materials
And the solid phase transition temperature of the phase transition heat storage unit
The liquid phase change temperature of the phase change heat storage unit is used as a parameter for judging whether the heat storage process enters a latent heat phase change region
Then the heat storage process is used as a parameter for judging whether the heat storage process reaches the liquid phase heat development zone. At the same time, the solid phase heat development area and the latent heat area are continued for a certain period
And
and comparing the heat storage time with the adjusting time delta t to be used as a basis for judging whether the heat storage process spans a plurality of sections of areas. Allowable maximum temperature of phase change heat storage unit
And as a limit parameter for judging whether the heat storage process needs to be interrupted, when the phase change heat storage unit reaches the maximum allowable temperature, the heat storage process needs to be stopped.
The embodiment of the invention also discloses a dynamic logic analysis flow of the heat release process of the phase change heat storage unit. Fig. 4 is a schematic diagram of a dynamic logic analysis flow of a heat release process of a phase change heat storage unit according to an embodiment of the present invention. As shown in fig. 4, for the heat release process: firstly, according to the solid phase transition temperature of the phase transition heat storage unit
And the liquid phase transition temperature of the phase transition heat storage unit
And judging the thermophysical performance of the phase change heat storage unit when a certain regulation section starts. Then, the heat release starting temperature T of the phase-change heat storage unit is passedmod-user(i +1,0) and the end Heat Release temperature Tmod-user(i +1), with
And
and comparing to preliminarily determine whether the heat releasing process needs to be interrupted. Further, time spent using sensible heat zone
And
and time spent in latent heat area
In comparison with the control period time Δ t, it is predicted in which region the heat release process ends. Finally, combining the liquid phase transition point module outlet temperature
And solid phase transition point module outlet temperature
And
and
and comparing to determine the starting point and the ending point of the heat release process in the regulating section.
Secondly, an optimization model analysis process is established by using an intelligent optimization algorithm. Specifically, a dynamic control model of the phase change heat storage unit, an operation constraint condition of the phase change heat storage system, and relevant parameters of a fluctuation model of the complementary energy unit and a fluctuation model of the user unit are input, and the parameters of a biophysical algorithm are initialized: setting the number of operation strategies of the phase-change heat storage system as the habitat number of the algorithm, setting the number of adjusting sections of the optimization period of the system as the dimension number of the algorithm, and setting the maximum population number, the maximum mobility, the maximum mutation rate, the elite parameters and the iteration number. And obtaining an initial operation strategy of the phase-change heat storage system through random initialization, and calculating and sequencing corresponding fitness indexes through direct utilization of residual energy and cyclic iteration of the operation flow of the phase-change heat storage unit. Then, carrying out migration and mutation operation on the operation strategy probabilistically; and reserving a plurality of elite strategies, applying random disturbance to the elite strategies to generate new strategies, and entering the next generation of operation.
Specifically, flag bits can be set for three working modes of heat storage (1), heat release (2) and stop (0) of the phase-change heat storage unit, and the flag bits and energy flow control parameters are used as system control variables together to participate in the optimization process of the algorithm.
Finally, performing iterative optimization calculation within 100 generations on the operation optimization model of the phase-change heat storage system, and determining that the change rate of the optimization value of the phase-change heat storage system is lower than 10-6％。
The method comprises the steps of establishing a dynamic control model of a phase-change heat storage unit, a fluctuation model of a complementary energy unit and a fluctuation model of a user unit; determining an operation constraint condition of the phase change heat storage system according to the dynamic control model of the phase change heat storage unit, the fluctuation model of the complementary energy unit and the fluctuation model of the user unit, and establishing an operation optimization model of the phase change heat storage system; and performing iterative optimization calculation on the operation optimization model of the phase change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis flow of the phase change heat storage unit to determine an operation strategy of the phase change heat storage system. Therefore, an intelligent dynamic optimization mechanism with system change as input and an operation strategy as output is established for the phase-change heat storage system, and an optimal control strategy of the system is determined, so that complementary energy resources are efficiently utilized, consumption of fossil energy is saved, and environmental pollution is reduced.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for intelligent dynamic optimization of operation of a phase change thermal storage system as described in the above embodiments.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. The intelligent dynamic optimization method for the operation of the phase-change heat storage system is characterized by being applied to the phase-change heat storage system, wherein the phase-change heat storage system comprises a phase-change heat storage unit, a complementary energy unit and a user unit, and the method comprises the following steps:
establishing a dynamic control model of the phase-change heat storage unit, a fluctuation model of the complementary energy unit and a fluctuation model of the user unit;
determining an operation constraint condition of the phase-change heat storage system according to the dynamic control model of the phase-change heat storage unit, the fluctuation model of the complementary energy unit and the fluctuation model of the user unit, and establishing an operation optimization model of the phase-change heat storage system;
performing iterative optimization calculation on an operation optimization model of the phase change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis flow of the phase change heat storage unit to determine an operation strategy of the phase change heat storage system, wherein the intelligent optimization algorithm is a biophysical optimization algorithm;
operation of the phase change thermal storage systemThe optimization model is
Wherein, JfuelFossil energy for optimizing cycle consumption; n is the number of adjusting sections for dividing the optimization cycle; j is the jth conditioning segment; delta t is the adjustment period time;
supplying power of a user for waste heat resources of the waste energy unit; etaT-LEfficiency of heat transfer to customer load;
supplying power to the user for the phase change heat storage unit; phi is aL-TFossil energy consumed for a unit load of a user;
the life load of the user at the jth regulation stage is adjusted.
2. The method of claim 1, wherein the dynamic control model of the phase change thermal storage unit comprises a thermal storage model and a thermal release model,
the heat storage model is
The heat release model is
Wherein, TmodThe average temperature of the heat storage main body of the phase-change heat storage unit is obtained; m ismodThe mass of the heat storage main body of the phase-change heat storage unit; m ispcmThe mass of the phase change material of the phase change heat storage unit;
and
the temperatures of heat transfer media at the inlet and the outlet of the phase change heat storage unit are respectively set; m isHTFAnd cHTFMass and specific heat of the heat transfer medium, respectively;
is the heat exchange coefficient of the solid-phase sensible heat of the heat storage model,
is the heat exchange coefficient of the phase change latent heat of the heat storage model,
is the heat exchange coefficient of the liquid-phase sensible heat of the heat storage model,
the heat exchange coefficient of the sensible heat of the solid phase of the heat release model,
the heat exchange coefficient of the phase change latent heat of the heat release model,
the heat exchange coefficient of the liquid phase sensible heat of the heat release model is shown; a. thestoIs the heat exchange area of the heat storage model, ArelThe heat exchange area of the heat release model; etastoIs the dynamic heat transfer ratio, η, between the heat transfer medium of the heat storage model and the heat storage bodyrelIs the dynamic heat transfer ratio between the heat transfer medium of the heat release model and the heat storage body; c. CSThe specific heat of the solid phase of the phase-change heat storage unit is used as the specific heat of the solid phase; c. CLThe liquid phase specific heat of the phase-change heat storage unit is obtained;
and
the heat stored and released by the phase-change heat storage unit is respectively heat stored and released; c. ChIs equivalent latent heat specific heat of the phase change heat storage unit
HpcmIs the latent heat of phase change of the material;
the average temperature of the phase change heat storage unit at a solid phase change point is obtained;
the average temperature of the phase change heat storage unit at the liquid phase change point is shown.
3. The method as claimed in claim 2, wherein the heat storage body of the phase-change heat storage unit is composed of a phase-change heat storage material and a container thereof.
4. The method of claim 1, wherein the fluctuation model of the complementary energy unit is
Wherein, ThrThe temperature of the waste heat resource of the waste energy unit; vhrThe residual heat resource flow of the residual energy unit; l is the production load; t is time; f (x, y) is the corresponding temperature function; g (x, y) is the corresponding flow function.
5. The method of claim 1 wherein the subscriber unit's fluctuation model is Luser(t)＝(Lbase(t)+Lweat(t))δscal；
Wherein L isuserIs the life load of the user; l isbaseA base load for the user; l isweatIs a weather sensitive load of the user; deltascalIs the scale factor of the user.
6. The method of claim 1 wherein the phase change thermal storage system is operated under the constraint of
Wherein,
the highest temperature which can be borne by the phase change heat storage unit; t ishr-modThe contact temperature of the phase-change heat storage unit and a heat transfer medium is set;
the highest contact temperature of the phase-change heat storage unit and the heat transfer medium is set; t ishr-userSupplying the residual energy unit with the temperature of the heat transfer medium of a user;
and
-minimum and maximum heat transfer medium temperatures for the surplus energy unit to supply the user, respectively; t ismod-userSupplying the temperature of a heat transfer medium to a user for the phase change heat storage unit;
and
the lowest and highest heat transfer medium temperatures for the phase change heat storage unit to supply users are provided; vhr-modSupplying the heat transfer medium flow of the phase change heat storage unit to the complementary energy unit;
supplying the highest heat transfer medium flow rate of the phase change heat storage unit to the complementary energy unit; vhr-userThe flow of the heat transfer medium for supplying the waste energy unit to a user;
and
-minimum and maximum heat transfer medium flow rates to supply the surplus energy unit to the user, respectively; vmod-userSupplying a flow of heat transfer medium to a user for the phase change heat storage unit;
and
and the lowest and highest heat transfer medium flow rates are respectively supplied to the user for the phase change heat storage unit.
7. The method of claim 1, wherein the iterative optimization calculation of the operation optimization model of the phase-change heat storage system by using an intelligent optimization algorithm and a dynamic logic analysis process of the phase-change heat storage unit specifically comprises:
performing iterative optimization calculation within 100 generations on an operation optimization model of the phase-change heat storage system by using the biophysical optimization algorithm and the dynamic logic analysis flow of the phase-change heat storage unit, and determining that the change rate of the optimized value of the phase-change heat storage system is lower than 10-6％。
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method for intelligent dynamic optimization of the operation of a phase change thermal storage system according to any one of claims 1 to 7.
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