CN110414733A - The optimum design method and its device of energy storage device, storage medium and terminal - Google Patents
The optimum design method and its device of energy storage device, storage medium and terminal Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of optimum design method of energy storage device and its devices, storage medium and terminal, the operating parameter of the optimum design method combination energy storage device, the output power function of customer charge and power supply, establish and solve the optimization design object module of energy storage device, obtain the optimal optimizing design scheme of the energy storage device, obtain the optimal capacity scale of energy storage device and operation reserve, to improve the utilization rate of electric energy, prevent the waste of power resource, it achieves energy-saving and emission reduction purposes, ensure the economic and practical of energy storage device design and operation simultaneously.
Description
Technical field
The present embodiments relate to the optimum design method of energy storage technologies field more particularly to a kind of energy storage device and
Its device, storage medium and terminal.
Background technique
During energy is converted and is utilized, temporally and spatially unmatched lance is usually present between supply and demand
Shield is to improve energy utilization rate since energy storage technology can solve energy supply and demand temporally and spatially unmatched contradiction
Effective means.
Energy storage device is a kind of device that energy stores are carried out using energy storage technology.In terms of power storage, energy storage device
The energy storage device stored including converting electrical energy into chemical energy, and convert electrical energy into the energy storage device of thermal energy storage.Wherein,
Converting electrical energy into the energy storage device that thermal energy is stored includes electric heating phase-change energy storage device, the electric heating phase-change energy storage device
It is a kind of high-efficiency energy-storage unit that can store renewable energy and power grid valley electricity using the latent heat of phase change of material, has
The advantages that energy density is high, stores up/releases energy performance and stablize, good economy performance.In the design aspect of energy storage device, in the prior art energy storage
What the determination of the operation reserve and capacity scale of device usually individually carried out.
But in the process of optimization of energy storage device, there are phases between energy storage device operation reserve and capacity scale
Mutually influence relationship.On the one hand, the selection of capacity scale not only determines cost of investment, also influences the formulation of operation reserve and returns
Receive the ability of profitable electric energy.And on the other hand, due to the non-linear dynamic characteristic of energy storage device operation, the formulation of operation reserve
The operational efficiency for determining energy storage device, influences its operating cost.If not emphasizing the interrelated of operation reserve and capacity scale,
It will be unable to guarantee the economical and efficient operation of phase-change energy storage device.
Summary of the invention
For above-mentioned there are problem, the embodiment of the present invention provide a kind of energy storage device optimum design method and its device,
Storage medium and terminal, be able to solve in the prior art energy storage device design scheme and control operation reserve between exist couple pass
System, cause energy storage device can not economical and efficient operation the technical issues of.
The embodiment of the invention provides a kind of optimum design method of energy storage device, the energy storage device includes electric heating phase
Become energy storage device, the electric heating phase-change energy storage device is stored for converting electrical energy into thermal energy, with for users to use；Institute
Stating optimum design method includes:
Obtain the output power function of the operating parameter of the energy storage device, customer charge and power supply；
According to the operating parameter and the output power function of the power supply, the dynamic of the energy storage device is established
Controlling model；
According to the operating parameter and the customer charge, the operation constraint condition of the energy storage device is determined；
According to the dynamic control model of the energy storage device and the customer charge, the optimization of the energy storage device is established
Design object model；
According to the dynamic control model of the energy storage device and operation constraint condition, using iterative evolution algorithm to described excellent
Change design object model to be solved, with the optimizing design scheme of the determination energy storage device；Wherein, the optimizing design scheme
Capacity scale and operation reserve including the energy storage device.
Optionally, the electric heating phase-change energy storage device includes electrical heating elements and phase-change accumulation energy main body；According to the fortune
The output power function of row parameter and the power supply establishes the dynamic operation model of the energy storage device, comprising:
According to the operating parameter of the electrical heating elements and phase-change accumulation energy main body, the operation of the phase-change accumulation energy main body is established
Dynamic model；
According to the output power function of the power supply, the power dynamic model of the electrical heating elements is established.
Optionally, according to the operating parameter of the electrical heating elements and phase-change accumulation energy main body, the phase-change accumulation energy master is established
The operation state model of body, comprising:
According to the operating parameter of the electrical heating elements, the electric-thermal storage efficiency of the electrical heating elements is determined；
According to the operating parameter of the phase-change accumulation energy main body, determine the phase-change accumulation energy main body after the stage；Wherein, institute
State phase-change accumulation energy main body includes solid phase sensible heat stage, latent heat of phase change stage and liquid phase sensible heat stage after the stage；
According to the electric-thermal storage efficiency of the electrical heating elements and the phase-change accumulation energy main body after the stage, using collection
Total Capacity method establishes the dynamic operation model of the phase-change accumulation energy main body stage by stage.
Optionally, the dynamic operation model of the phase-change accumulation energy main body includes heat accumulation model and heat loss model；
The heat accumulation model specifically include the heat accumulation model in solid phase sensible heat stage, the heat accumulation model in latent heat of phase change stage and
The heat accumulation model in liquid phase sensible heat stage；
The heat accumulation model in the solid phase sensible heat stage are as follows:
The heat accumulation model in the latent heat of phase change stage are as follows:
The heat accumulation model in the liquid phase sensible heat stage are as follows:
The heat loss model specifically includes the heat loss model in solid phase sensible heat stage, the heat in latent heat of phase change stage
Scatter and disappear model and the heat loss model in liquid phase sensible heat stage；
The heat loss model in the solid phase sensible heat stage are as follows:
The heat loss model in the latent heat of phase change stage are as follows:
The heat loss model in the liquid phase sensible heat stage are as follows:
Wherein, the phase-change accumulation energy main body includes phase-change heat-storage material and its splendid attire body；P is the defeated of the electrical heating elements
Enter power；α and β is the empirical of the operation of the energy storage device；M is the quality of the phase-change accumulation energy main body；mpcmIt is described
The quality of phase-change heat-storage material；cS、chAnd clSolid phase specific heat, equivalent latent heat specific heat and the liquid of the respectively described phase-change accumulation energy main body
Compared to heat；RS, RlatAnd RLThe respectively described solid phase sensible heat stage, the latent heat of phase change stage and the liquid phase sensible heat stage institute
State total heat exchanged thermoresistance of phase-change accumulation energy main body；T is the mean temperature of the phase-change accumulation energy main body；TaFor environment temperature；When t is
Between.
Optionally, the output power function of the power supply include utility grid power output power function and can be again
The power output power function of the raw energy；
According to the output power function of the power supply, the power dynamic model of the electrical heating elements is established, comprising:
According to the segmentation policy of utility grid, the power output power P of paddy electricity in the utility grid is obtained1With time t
Power function g (t)；
According to the fluctuation of renewable energy each period, the power output power P of the renewable energy is obtained2With the time
The power function f (t) of t；
According to the power output power P of paddy electricity in the utility grid1Power function g (t) and the renewable energy
Power output power P2Power function f (t), establish the input power P of the electrical heating elements dynamic model be P=f
(t)+g(t)。
Optionally, according to the dynamic control model of the energy storage device and the customer charge, the energy storage dress is established
The optimization design object module set, comprising:
According to the dynamic model of the segmentation policy of the utility grid and the input power P of the electrical heating elements, determine
Multiple adjusting sections in the optimizing cycle of the energy storage device and the optimizing cycle；Wherein, in each adjusting section
The input power P of the electrical heating elements is constant；
According to the operation state model of the phase-change accumulation energy main body, the power dynamic model of the electrical heating elements and institute
Target user's load is stated, determines that the optimization design object module in the optimizing cycle is as follows:
Wherein, J is total consuming of an optimizing cycle；N is for the adjusting section that the optimizing cycle divides
Number；I is i-th of adjusting section；ΔtiThe regulating time of section is adjusted for i-th；PiFor the electrical heating elements in i-th of adjusting section
Input power；δ is the electrical heating elements unit power consumption expense；M is the quality of the phase-change accumulation energy main body；For the phase
Become the investment cost of energy storage main body unit mass and time；τ is the customer chargeThe unit costs of energy；Ex is the phase
Become the storage of energy storage main bodyEnergy；ExuserFor the customer chargeEnergy；λ is load margin.
Optionally, according to the dynamic control model of the energy storage device and operation constraint condition, using iterative evolution algorithm
The optimization design object module is solved, with the optimizing design scheme of the determination energy storage device, comprising:
According to the dynamic operation model of the phase-change accumulation energy main body, the phase-change accumulation energy main body respectively holding after the stage is determined
The continuous time；The phase-change accumulation energy main body includes solid phase sensible heat stage, latent heat of phase change stage and liquid phase sensible heat after the stage；
Calculate each duration after the stage of the phase-change accumulation energy main body and an adjusting in the optimizing cycle
Ratio the time required to section, determines the locating stage at the end of the current adjusting section of the phase-change accumulation energy main body；
According to each duration after the stage of the operation constraint condition and the phase-change accumulation energy main body, institute is determined
State the end time point of the current adjusting section operational process of phase-change accumulation energy main body；
Locating stage and the phase-change accumulation energy main body at the end of according to the current adjusting section of the phase-change accumulation energy main body
The current end time point for adjusting section operational process, establishes the operation logic analysis process of the energy storage device；
The iterative evolution algorithm is initialized, according to the operation logic analysis process, is calculated using iterative evolution
Method solves the optimization design object module, with the optimizing design scheme of the determination energy storage device.
Optionally, according to the operating parameter and the load of the target user, the operation of the energy storage device is determined
Constraint condition is as follows:
Wherein, TminAnd TmaxThe minimum limit temperature and maximum limit temperature of the respectively described phase-change accumulation energy main body；PminWith
PmaxThe lowest power and peak power that the respectively described electrical heating elements can input；Ex is phase-change accumulation energy main body storage
'sEnergy；ExuserFor the customer chargeEnergy；λ is load margin.
Optionally, the iterative evolution algorithm includes particle swarm algorithm.
Based on same inventive concept, the embodiment of the invention also provides a kind of optimization design device of energy storage device, institutes
Stating energy storage device includes electric heating phase-change energy storage device, the electric heating phase-change energy storage device for convert electrical energy into thermal energy into
Row storage, with for users to use；The optimization design device includes:
Parameter acquisition module, for obtaining the defeated of the operating parameter of the energy storage device, customer charge and power supply
Power function out；
Dynamic Model module, for the output power function according to the operating parameter and the power supply,
Establish the dynamic control model of the energy storage device；
Constraint condition determining module, for determining the energy storage dress according to the operating parameter and the customer charge
The operation constraint condition set；
Object module establishes module, for according to the energy storage device dynamic control model and the customer charge,
Establish the optimization design object module of the energy storage device；
Object module solves module, for the dynamic control model and operation constraint condition according to the energy storage device, adopts
The optimization design object module is solved with iterative evolution algorithm, with the optimization design side of the determination energy storage device
Case；Wherein, the optimizing design scheme includes the capacity scale and operation reserve of the energy storage device.
Based on same inventive concept, the embodiment of the invention also provides a kind of storage mediums, are stored thereon with computer
Program, the program realize the optimum design method of above-mentioned energy storage device when being executed by processor.
Based on same inventive concept, the embodiment of the invention also provides a kind of terminal, including memory, processor and deposit
The computer program that can be run on a memory and on a processor is stored up, the processor is realized when executing the computer program
The optimum design method of above-mentioned energy storage device.
The embodiment of the invention provides a kind of optimum design method of energy storage device and its device, storage medium and terminal,
The energy storage device can convert electrical energy into thermal energy and be stored, with for users to use；The optimum design method is by energy storage device
The operating parameter of itself is combined with the output power function of customer charge and power supply, establishes the dynamic control of energy storage device
Model and the operation constraint condition for determining energy storage device, and established by the dynamic control model of energy storage device and customer charge and
The optimization design object module of energy storage device is solved, to determine the optimizing design scheme of energy storage device.The embodiment of the present invention combines
The excellent of energy storage device is established and solved to the output power function of the operating parameter of energy storage device, customer charge and power supply
Change design object model, obtain the optimal optimizing design scheme of the energy storage device, is i.e. the acquisition optimal capacity scale of energy storage device
And operation reserve prevents the waste of power resource, achieves energy-saving and emission reduction purposes to improve the utilization rate of electric energy, while really
Protect the economic and practical of energy storage device design and operation.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the optimum design method of energy storage device provided in an embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of electric heating phase-change energy storage device provided in an embodiment of the present invention；
Fig. 3 is a kind of flow chart of the method for dynamic control model for establishing energy storage device provided in an embodiment of the present invention；
Fig. 4 is a kind of flow chart of the method for object module for establishing optimization design provided in an embodiment of the present invention；
Fig. 5 is a kind of flow chart of the method for solving optimization design object model provided in an embodiment of the present invention；
Fig. 6 is a kind of structural block diagram of the optimization design device of energy storage device provided in an embodiment of the present invention；
Fig. 7 is a kind of structural schematic diagram of terminal provided in an embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Renewable energy such as wind energy, solar energy etc. can be exchanged into electric energy, and can be stored in energy storage dress in other forms
In setting, which for example can be electric heating phase-change energy storage device.Electric heating phase-change energy storage device can be by renewable energy
The paddy electricity electric energy of electric energy and utility grid that source generates is converted to thermal energy and is stored, while can be by the energy of storage with heat
Can mode discharge, so that user warms oneself, bathing and domestic hot-water, reach energy-saving and emission-reduction, improve utilization rate of electrical purpose,
Meet energy-saving and environment-friendly demand.In the prior art, when designing energy storage device, the determination of its operation reserve and capacity scale is often
Individually carry out.But in the process of optimization of energy storage device, deposited between energy storage device operation reserve and capacity scale
In the relationship of influencing each other.If will be unable to guarantee phase-change energy storage device without considering these coupling optimizations that are mutually related
Economical and efficient operation, to be unable to reach energy-saving and environment-friendly purpose.
Based on above-mentioned technical problem, the embodiment of the invention provides a kind of optimum design method of energy storage device, the energy storage
Device for example can be electric heating phase-change energy storage device, and the electric heating phase-change energy storage device is for converting electrical energy into thermal energy progress
Storage, with for users to use.Correspondingly, the optimum design method is applicable to the optimization design to energy storage device, energy storage is carried out
The coupling of the capacity scale and operation reserve of device optimizes.The optimum design method of energy storage device provided in an embodiment of the present invention can
To be executed by the optimization design device of energy storage device provided in an embodiment of the present invention, the device can by software and/or hardware Lai
It realizes.Fig. 1 is a kind of flow chart of the optimum design method of energy storage device provided in an embodiment of the present invention.Such as Fig. 1, which is set
Meter method includes:
S110, the operating parameter for obtaining the energy storage device, the output power function of customer charge and power supply.
Specifically, the operating parameter of acquired energy storage device can for example be the nominal parameter of energy storage device, such as store up
Can device when being electric heating phase-change energy storage device, rated power, maximum power, most when which works
High energy storage temperature, minimum energy storage temperature, maximum stored energy capacitance etc., which further includes the empirical parameter of energy storage device, should
Empirical parameter obtains after passing through many experiments Rule Summary；And the customer charge of the acquisition then relates generally to active user's load
The energy stored needed for lower, and energy needed for customer charge and non-deterministic value, but as environment, time etc. are changed
's；The power supply for providing electric energy for energy storage device for example can be utility grid, or the electric energy of renewable energy conversion.It is logical
Normal utility grid has the policy of sectional fare, and to achieve the purpose that disperse electricity consumption, wherein the charge of the paddy electricity of utility grid is low
The charge of Yu Feng electricity；The energy conversion efficiency of renewable energy changes also with weather, environment and the variation of time simultaneously.
Pass through the output work of the power supply of the operating parameter of acquisition energy storage device, customer charge and the electric energy for providing for energy storage device
Rate, in the optimization design of energy storage device, to comprehensively consider the pass between influence and each factor of each factor to design scheme
Connection property.
S120, according to the operating parameter and the output power function of the power supply, establish the energy storage device
Dynamic control model.
Specifically, energy storage device has nonlinear dynamic operational behaviour, according to the specified operating parameter of the energy storage device
With experience operating parameter, the dynamic operational behaviour of the energy storage device is obtained, and passes through the dynamic operational behaviour of energy storage device and confession
The output power function of power supply establishes the dynamic operation model of the energy storage device.Wherein, the dynamic control model of energy storage device
Energy storage device is able to reflect out in each environmental condition and the operating status of each period.
S130, according to the operating parameter and the customer charge, determine the operation constraint condition of the energy storage device.
Specifically, the specified operating parameter of energy storage device can for reflection energy storage device can run highest limit and it is minimum
The parameter of limit.Such as when energy storage device is electric heating phase-change energy storage device, which includes electric heating
Element and phase-change accumulation energy main body.Wherein, electrical heating elements are heated for converting electrical energy into thermal energy for phase-change accumulation energy main body, so that
Electric energy is stored in phase-change accumulation energy main body in the form of thermal energy.It can be related to electrical heating elements fortune in the nominal parameter of energy storage device
Capable maximum power and minimum power, when the input power power P of electrical heating elements is greater than the required minimum power of its operation,
The electrical heating elements could generate heat；And the maximum work that can reach is run when the input power P of electrical heating elements is less than it
When rate, it just can guarantee that electrical heating elements are not breakdown.Meanwhile it can also relate to phase-change accumulation energy master in the nominal parameter of energy storage device
The minimum limit temperature and maximum limit temperature of body, the temperature T of phase-change accumulation energy main body is in maximum limit temperature and minimum limitation temperature
When between degree, the storage of heat just can be carried out.It is born in addition, the thermal energy Ex of electric heating phase-change energy storage device storage should also meet user
The demand of lotus.Therefore, according to operating parameter and customer charge, the operation constraint condition of determining energy storage device is as follows:
Wherein, TminAnd TmaxThe respectively minimum limit temperature and maximum limit temperature of phase-change accumulation energy main body；PminAnd Pmax
The respectively lowest power that can input of electrical heating elements and peak power；Ex is the storage of phase-change accumulation energy main bodyEnergy；Exuser
For customer chargeEnergy；λ is load margin.
S140, the dynamic control model according to the energy storage device and the customer charge, establish the energy storage device
Optimization design object module.
Specifically, the optimizing design scheme of energy storage device, which should reach, most to pass through under the premise of meeting customer charge demand
It helps energy-efficient target.When energy storage device is electric heating phase-change energy storage device, except electric heating member in electric heating phase-change energy storage device
The fixed consuming of part and phase-change accumulation energy main body itself is outer, such as expense, maintenance cost of running wastage etc., electric heating phase transformation storage
The consuming of the electrical heating elements of energy device further includes the expense of required electric energy.Therefore, by the dynamic control model of energy storage device,
The fixed expense expended with required electric energy in energy storage device operational process can be obtained.In addition, energy storage device institute storage energy
It has differences, so can produce additional between customer charge institute calorific requirementIt can expense.By combining the dynamic of energy storage device
State moving model and customer charge establish out the optimization design object module of energy storage device, which can
Reflect the optimizing design scheme of energy storage device, for example, energy storage device capacity scale and energy storage device operation reserve.
S150, dynamic control model and operation constraint condition according to the energy storage device, using iterative evolution algorithm pair
The optimization design object module is solved, with the optimizing design scheme of the determination energy storage device；Wherein, the optimization is set
Meter scheme includes the capacity scale and operation reserve of the energy storage device.
Specifically, the operation constraint condition of energy storage device can restrict its dynamic running process, and energy storage device dynamic is transported
Row process is reacted by the dynamic control model of the energy storage device；The calculated result of the dynamic control model of energy storage device can be with
As the parameter of optimization design object module, therefore by the dynamic control model of energy storage device and operation constraint condition to energy storage
The optimization design object module of device is solved.Iterative evolution method can be used in the method for solution, to find out the energy storage device
The optimum solution of optimization design object module.Used iterative evolution method can for example be calculated with for particle swarm algorithm by population
Method can be multiple to optimization design object module iteration, until the variation range of the result solved is in receivable range, such as
Can be 500 times to optimization design object module iteration, solve optimum.The optimum is the knot of most economic and practical
Fruit, to be capable of determining that the optimizing design scheme of energy storage device.The optimizing design scheme, which has, to be expended at least, and is able to satisfy user
Demand characteristics, the optimizing design scheme mainly include the capacity scale of energy storage device and the operation reserve of energy storage device.
The output power function of the operating parameter of the present embodiment combination energy storage device, customer charge and power supply is mutually tied
It closes, establishes and solve the optimization design object module of energy storage device, obtain the optimal optimizing design scheme of the energy storage device, that is, obtain
Obtain the optimal capacity scale of energy storage device and operation reserve prevents the waste of power resource, reaches to improve the utilization rate of electric energy
To the purpose of energy-saving and emission-reduction, while ensuring the economic and practical of energy storage device design and operation.
Optionally, when energy storage device is electric heating phase-change energy storage device, which includes that electricity adds
Thermal element and phase-change accumulation energy main body.Fig. 2 is a kind of structural representation of electric heating phase-change energy storage device provided in an embodiment of the present invention
Figure.Such as Fig. 2, which includes electrical heating elements 11 and phase-change accumulation energy main body 12；The electrical heating elements
11 can convert electrical energy into thermal energy, heat to phase-change accumulation energy main body 12, so that the thermal energy energy that electrical heating elements 11 are converted
It is enough stored in phase-change accumulation energy main body, and discharges stored thermal energy when users use for heating, bathing, domestic water etc..
Therefore, electric heating energy storage device can establish an energy snubber area between supply and demand and reach and subtract in a manner of through peak load shifting
The consumption of few fossil energy, that reduces greenhouse gases discharges to obtain purpose.
Correspondingly, on the basis of the above embodiments, being carried out to the method for building up of the dynamic control model of energy storage device
Optimization.Fig. 3 is a kind of flow chart of the method for dynamic control model for establishing energy storage device provided in an embodiment of the present invention.Such as figure
3, according to the operating parameter and the output power function of the power supply, establish the dynamic control mould of the energy storage device
Type specifically includes:
S121, according to the operating parameter of the electrical heating elements and the phase-change accumulation energy main body, establish the phase-change accumulation energy
The operation state model of main body.
Specifically, being heated after electrical heating elements convert electrical energy into thermal energy for phase-change accumulation energy main body, the fortune of electrical heating elements
The thermal energy storage process of market condition influence phase-change accumulation energy main body.Wherein, the thermal energy storage process of phase-change accumulation energy main body is its phase
Change process, by the operating parameter of phase-change accumulation energy main body can determine that phase-change accumulation energy main body after stage phase transition process after
Stage.Such as when mutually becoming solid-liquid phase change of the phase-change accumulation energy main body, the phase-change accumulation energy main body after stage for example can wrap
Include solid phase sensible heat stage, latent heat of phase change stage and liquid phase sensible heat stage.Since phase-change accumulation energy main body may include phase-change thermal storage material
Material and its splendid attire body, therefore phase-change accumulation energy main body is all in storage energy.If T is set as the mean temperature of phase-change accumulation energy main body, and
By TSMean temperature as phase-change accumulation energy main body in solid phase transformation temperature, TLAs phase-change accumulation energy main body in the flat of liquid phase transformation temperature
Equal temperature, then as T < TSWhen, phase-change accumulation energy main body heat transfer process is in the solid phase sensible heat stage；Work as TS≤T≤TLWhen, phase-change accumulation energy
Main body heat accumulation process is in the latent heat of phase change stage；Work as T > TLWhen, phase-change accumulation energy main body heat accumulation process is in the liquid phase sensible heat stage.This
When, the solid phase specific heat c of phase-change accumulation energy main body can be usedSWith the liquid phase specific heat c of phase-change accumulation energy main bodyLDistinguish two sensible heat transfer mistakes
Journey, and use the equivalent latent heat specific heat capacity c of phase-change materialhCharacterize the physical property variation of material in phase transition process.
At this point, can determine the electric-thermal storage efficiency of the electrical heating elements by the operating parameter of electrical heating elements, tie
Close electrical heating elements electric-thermal storage efficiency and phase-change accumulation energy main body after the stage, established stage by stage using Lumped-Capacity method
The dynamic operation model of phase-change accumulation energy main body.The dynamic operation model of the phase-change accumulation energy main body may include heat accumulation model and heat
Scatter and disappear model.Wherein, heat accumulation model specifically include the heat accumulation model in solid phase sensible heat stage, the heat accumulation model in latent heat of phase change stage with
And the heat accumulation model in liquid phase sensible heat stage, it is specific as follows:
Wherein, formula 1 is the heat accumulation model in solid phase sensible heat stage, and formula 2 is the heat accumulation model in latent heat of phase change stage, and formula 3 is liquid
The heat accumulation model in phase sensible heat stage.Correspondingly, heat loss model specifically includes the heat loss model in solid phase sensible heat stage, phase
Become the heat loss model and the heat loss model in liquid phase sensible heat stage in latent heat stage, specific as follows:
Wherein, formula 4 is the heat loss model in solid phase sensible heat stage, and formula 5 is the heat loss model in latent heat of phase change stage,
Formula 6 is the heat loss model in liquid phase sensible heat stage；In the above formulas, P is the input power of electrical heating elements；α and β is energy storage
The empirical of device operation；M is the quality of phase-change accumulation energy main body；mpcmFor the quality of phase-change heat-storage material；cS、chAnd cLRespectively
For the solid phase specific heat, equivalent latent heat specific heat and liquid phase specific heat of phase-change accumulation energy main body；RS, RlatAnd RLRespectively the solid phase sensible heat stage,
Total heat exchanged thermoresistance of phase-change accumulation energy main body in latent heat of phase change stage and liquid phase sensible heat stage；T is being averaged for phase-change accumulation energy main body
Temperature；TaFor environment temperature；T is the time.
S122, according to the output power function of the power supply, establish the power dynamic model of the electrical heating elements.
Specifically, for for energy storage device providing electric energy that electric energy may include utility grid and renewable energy is converted
Electric energy.Wherein, utility grid has segmentation policy, which utility grid is divided into the peak electricity electricity consumption period and paddy electricity is used
The electric period.Since the electric energy unit price of paddy electricity electricity consumption period utility grid is lower, and electric energy is abundant, therefore energy storage device is optional
The energy that other forms are converted electrical energy into when selecting paddy electricity is stored.In addition, renewable energy, such as solar energy and wind energy exist
Recyclable measurer in different time periods is variant.When for the electric energy that energy storage device provides include in utility grid the electric energy of paddy electricity and
When the electric energy of renewable energy conversion, the power output of paddy electricity in utility grid can be obtained according to the segmentation policy of utility grid
Power P1With the power function g (t) of time t, and according to the fluctuation of renewable energy each period, renewable energy is obtained
Power output power P2With the power function f (t) of time t, then the power output power P by paddy electricity in utility grid1Power letter
The power output power P of number g (t) and renewable energy2Power function f (t), establish the input power P's of electrical heating elements
Dynamic model is P=f (t)+g (t), to determine that optimal electricity consumption strategy prevents electric energy from providing to improve the utilization rate of electric energy
The waste in source, achieves energy-saving and emission reduction purposes, while meeting the economic and practical of energy storage device design and operation.
Optionally, on the basis of the above embodiments, the method for building up of the object module of optimization design is optimized.
Fig. 4 is a kind of flow chart of the method for object module for establishing optimization design provided in an embodiment of the present invention.Such as Fig. 4, according to institute
State energy storage device dynamic control model and the customer charge, establish the optimization design object module of the energy storage device,
Include:
S141, the dynamic model according to the input power P of the electrical heating elements determine the optimization week of the energy storage device
Multiple adjusting sections in phase and the optimizing cycle；Wherein, each input for adjusting the electrical heating elements in section
Power P is constant；
S142, according to the operation state model of the phase-change accumulation energy main body, the power dynamic model of the electrical heating elements
And the customer charge, determine that the optimization design object module in the optimizing cycle is as follows:
Wherein, J is total consuming of an optimizing cycle；N is for the adjusting section that the optimizing cycle divides
Number；I is i-th of adjusting section；ΔtiThe regulating time of section is adjusted for i-th；PiFor the electrical heating elements in i-th of adjusting section
Input power；δ is the electrical heating elements unit power consumption expense；M is the quality of the phase-change accumulation energy main body；For the phase
Become the investment cost of energy storage main body unit mass and time；τ is the customer chargeThe unit costs of energy；Ex is the phase
Become the storage of energy storage main bodyEnergy；ExuserFor the customer chargeEnergy；λ is load margin.
Specifically, for for electric heating phase-change energy storage device provide electric energy may include in utility grid the electric energy of paddy electricity with
The electric energy of renewable energy conversion, and the output power of the electric energy of paddy electricity and the electric energy of renewable energy conversion in utility grid
Output power can passage at any time and certain variation occurs.The output power for the electric energy that can be converted by renewable energy
With the output power of the electric energy of paddy electricity in utility grid, it is capable of determining that the function of electrical heating elements in electric heating phase-change energy storage device
Rate dynamic model, the i.e. function of the input power of electrical heating elements and time.By the power dynamic model of electrical heating elements, determine
The optimizing cycle of electric heating phase-change energy storage device, and the optimizing cycle is divided into several and adjusts section, an adjusting section can be enabled
The output power of interior electrical heating elements is kept constant, so as to which the optimization design problem of energy storage device is converted into multidimensional
Nonlinear Dynamic planning problem.
Wherein, the optimization design object module of energy storage device is a model for solving minimum economic cost, by energy storage device
The operation state model of middle phase-change accumulation energy main body and the power dynamic model of electrical heating elements, determine optimization design object module
Involved in the electricity consumption electric energy expense of electrical heating elements and the parameter and variable of phase-change accumulation energy main body wear and tear expense；It is negative in conjunction with user
Energy needed for lotus determines expense shared by the surplus of phase-change accumulation energy main body storage energy in optimization design object module, with true
Optimization design object module in a fixed optimizing cycle, most passes through so as to be designed according to the optimization design object module
It helps the optimizing design scheme of practical energy storage device, and then reaches economical and practical, energy-saving and environment-friendly purpose.
Optionally, on the basis of the above embodiments, the solution method for building up of optimization design object module has been carried out excellent
Change.Fig. 5 is a kind of flow chart of the method for solving optimization design object model provided in an embodiment of the present invention.Such as Fig. 5, according to institute
The dynamic operation model and operation constraint condition for stating energy storage device, using iterative evolution algorithm to the optimization design object module
It is solved, comprising:
S151, according to the dynamic operation model of the phase-change accumulation energy main body, determine the phase-change accumulation energy main body respectively after rank
The duration of section；The phase-change accumulation energy main body includes that solid phase sensible heat stage, latent heat of phase change stage and liquid phase are aobvious after the stage
Heat；
S152, each duration after the stage for calculating the phase-change accumulation energy main body and one in the optimizing cycle
The ratio the time required to section is adjusted, determines the locating stage at the end of the current adjusting section of the phase-change accumulation energy main body.
Specifically, the thermal energy storage process of phase-change accumulation energy main body is its phase transition process, pass through phase-change accumulation energy main body
Operating parameter can determine that phase-change accumulation energy main body after stage phase transition process after the stage.Such as the phase of the phase-change accumulation energy main body
When becoming solid-liquid phase change, the phase-change accumulation energy main body after stage for example may include solid phase sensible heat stage, latent heat of phase change stage
With the liquid phase sensible heat stage.If setting T as the mean temperature of phase-change accumulation energy main body, and by TSAs phase-change accumulation energy main body in solid phase phase
The mean temperature of height, TLAs phase-change accumulation energy main body liquid phase transformation temperature mean temperature, then as T < TSWhen, phase-change accumulation energy master
Body heat transfer process is in the solid phase sensible heat stage；Work as TS≤T≤TLWhen, phase-change accumulation energy main body heat accumulation process is in the latent heat of phase change stage；
Work as T > TLWhen, phase-change accumulation energy main body heat accumulation process is in the liquid phase sensible heat stage.Phase-change accumulation energy main body reaches solid phase from Current Temperatures
The time of an adjusting section in optimizing cycle is likely larger than the time required to transformation temperature or liquid phase phase point temperature, it is also possible to less than one
A time for adjusting section, by being adjusted the time required to calculating solid phase sensible heat stage, latent heat of phase change stage, liquid phase sensible heat stage with one
Ratio the time required to segment determines locating rank at the end of the current adjusting section of the phase-change accumulation energy main body.
S153, according to it is described operation constraint condition and the phase-change accumulation energy main body each duration after the stage,
Determine the end time point of the current adjusting section operational process of the phase-change accumulation energy main body；
S154, according to locating rank and the phase-change accumulation energy main body at the end of the current adjusting section of the phase-change accumulation energy main body
Current adjusting section operational process end time point, establish the operation logic analysis process of the energy storage device.
Specifically, operation constraint condition is related to the minimum limit temperature and maximum limit temperature of phase-change accumulation energy main body, the phase
Become the minimum limit temperature of energy storage main body and each duration phase after the stage of maximum limit temperature and phase-change accumulation energy main body
In conjunction with can determine that the end time point of the current adjusting section operational process of phase-change accumulation energy main body.According to phase-change accumulation energy main body
Current adjusting section at the end of the current adjusting section operational process of locating rank and phase-change accumulation energy main body end time point, establish
The operation logic analysis process of energy storage device.The operation logic analysis process can be divided into heat accumulation process logic analysis process and
The logic analysis process of heat loss process.
Wherein, the logic analysis process of heat accumulation process is, using the solid phase phase transition temperature T of phase-change accumulation energy main bodySAs sentencing
Whether disconnected heat accumulation process enters the parameter in latent heat of phase change stage, the liquid phase phase transition temperature T of phase-change accumulation energy main bodyLThen as judgement storage
Whether thermal process reaches the parameter in liquid phase sensible heat stage.Meanwhile by the duration in solid phase sensible heat stage and latent heat of phase change stage
tSAnd tlatIt is compared with an adjusting section time Δ t in optimizing cycle, using as judging whether heat accumulation process crosses over multistage
The foundation in region.Phase-change accumulation energy main body maximum limit temperature TmaxThen as the boundary ginseng for judging whether heat accumulation process needs to interrupt
Number, when electric heating phase-change energy storage device reaches maximum permissible temperature, needs to stop heat accumulation process.
The logic analysis process of heat loss process is the solid phase phase transition temperature T according to phase-change accumulation energy main bodySIt is stored up with phase transformation
The liquid phase phase transition temperature T of energy main bodyLThe thermal physical characteristic of phase-change accumulation energy main body can be carried out judgement when starting to a certain adjusting section.Together
When, by the duration t in latent heat of phase change stage, solid phase sensible heat stage, liquid phase sensible heat stagelat、tSAnd tLWith adjusting section time Δ t
It is compared, determines the end point of heat loss process.
S155, the iterative evolution algorithm is initialized, according to the operation logic analysis process, using iteration into
Change algorithm to solve the optimization design object module.
Specifically, the conjunction according to operation logic analysis process, using iterative evolution algorithm to electric heating phase-change energy storage device
Optimization design object module is iterated optimizing.The iterative evolution algorithm for example can be particle swarm algorithm.Using grain
Before swarm optimization is calculated, the operation state model of phase-change accumulation energy main body, the power dynamic analog of electrical heating elements need to be inputted
The operation constraint condition of type and electric heating phase-change energy storage device, and the parameter of particle swarm algorithm is initialized, it is required first
The parameter of beginningization for example can be to join in the operation state model of phase-change accumulation energy main body and the power dynamic model of electrical heating elements
Number, adjusting section number, the maximum speed of particle swarm algorithm, particle swarm algorithm in optimizing regulation period and an optimizing regulation period
Accelerated factor, particle swarm algorithm Inertia Weight and the number of iterations etc..Wherein, it can be obtained by way of random initializtion
Parameter in the operation state model of phase-change accumulation energy main body and the power dynamic model of electrical heating elements, and by phase-change accumulation energy main body
The loop iteration of operation logic analysis process calculates corresponding fitness value, and is compared with individual extreme value and global extremum.
Speed and the position for then updating particle swarm algorithm, fall into next for calculating process.It, can be to phase in iteration operational process
Become the heat accumulation process of energy storage main body and the Working mode set flag bit of heat loss process, makees together with energy flow control parameter
For decision variable, the searching process of particle swarm algorithm is participated in.Illustratively, to the optimization design mesh of electric heating phase-change energy storage device
The iteration optimizing that model carried out for 500 generations using particle swarm algorithm is marked, to determine the capacity of the electric heating phase-change energy storage device
Scale and operation reserve.
Based on same inventive concept, the embodiment of the invention also provides a kind of optimization design devices of energy storage device, should
Energy storage device can be for example electric heating phase-change energy storage device, and the electric heating phase-change energy storage device is for converting electrical energy into thermal energy
It is stored, with for users to use.The optimization design device is applicable to the optimization design to energy storage device, carries out energy storage device
Capacity scale and operation reserve coupling optimize.The optimization design device of the energy storage device of this implementation can be by software and/or hard
Part is realized.Fig. 6 is a kind of structural block diagram of the optimization design device of energy storage device provided in an embodiment of the present invention.Such as Fig. 6, storage
Can device optimization design device include parameter acquisition module 61, Dynamic Model module 62, constraint condition determining module 63,
Object module establishes module 64, object module solves module 65.
The parameter acquisition module 61, for obtaining the operating parameter, customer charge and power supply electricity of the energy storage device
The output power function in source；
The Dynamic Model module 62, for the output power according to the operating parameter and the power supply
Function establishes the dynamic control model of the energy storage device；
The constraint condition determining module 63, for the load according to the operating parameter and the target user, really
The operation constraint condition of the fixed energy storage device；
The object module establishes module 64, for according to the energy storage device dynamic control model and the target
The load of user establishes the optimization design object module of the energy storage device；
The object module solves module 65, for the dynamic control model and operation constraint item according to the energy storage device
Part is solved the optimization design object module using iterative evolution algorithm, is set with the optimization of the determination energy storage device
Meter scheme；Wherein, the optimizing design scheme includes the capacity scale and operation reserve of the energy storage device.
The output power function of the operating parameter of the present embodiment combination energy storage device, customer charge and power supply, builds
Optimization design object module that is vertical and solving energy storage device, obtains the optimal optimizing design scheme of the energy storage device, that is, is stored up
Can the optimal capacity scale of device and operation reserve to improve the utilization rate of electric energy prevent the waste of power resource, reach section
The purpose of energy emission reduction, while ensuring the economic and practical of energy storage device design and operation.
The embodiment of the invention also provides a kind of storage mediums comprising computer executable instructions, are stored thereon with calculating
Machine program realizes the optimum design method for the energy storage device that body of the embodiment of the present invention provides when the program is executed by processor, should
Method includes:
Obtain the output power function of the operating parameter of the energy storage device, customer charge and power supply；
According to the operating parameter and the output power function of the power supply, the dynamic of the energy storage device is established
Controlling model；
According to the operating parameter and the customer charge, the operation constraint condition of the energy storage device is determined；
According to the dynamic control model of the energy storage device and the customer charge, the optimization of the energy storage device is established
Design object model；
According to the dynamic control model of the energy storage device and operation constraint condition, using iterative evolution algorithm to described excellent
Change design object model to be solved, with the optimizing design scheme of the determination energy storage device；Wherein, the optimizing design scheme
Capacity scale and operation reserve including the energy storage device.
Storage medium --- any various types of memory devices or storage equipment.Term " storage medium " is intended to wrap
It includes: install medium, such as CD-ROM, floppy disk or magnetic tape equipment；Computer system memory or random access memory, such as
DRAM, DDR RAM, SRAM, EDO RAM, Lan Basi (Rambus) RAM etc.；Nonvolatile memory, such as flash memory, magnetic medium
(such as hard disk or optical storage)；Register or the memory component of other similar types etc..Storage medium can further include other
Memory of type or combinations thereof.In addition, storage medium can be located at program in the first computer system being wherein performed,
Or can be located in different second computer systems, second computer system is connected to the by network (such as internet)
One computer system.Second computer system can provide program instruction to the first computer for executing." storage is situated between term
Matter " may include may reside in different location (such as by network connection different computer systems in) two or
More storage mediums.Storage medium can store the program instruction that can be performed by one or more processors and (such as implement
For computer program).
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present invention
The operation of the optimum design method for the energy storage device that executable instruction is not limited to the described above can also be performed of the invention any real
Apply the relevant operation in the optimum design method of energy storage device provided by example.
Based on same inventive concept, the embodiment of the invention also provides a kind of terminal, the present invention can be integrated in the terminal
The alternating current-direct current mixed connection Load flow calculation that embodiment provides.Fig. 7 is a kind of structural schematic diagram of terminal provided in an embodiment of the present invention.
As shown in fig. 7, the terminal may include: memory 101, central processing unit (Central Processing Unit, CPU) 102
(also known as processor, hereinafter referred to as CPU), circuit board (not shown) and power circuit (not shown).The CPU102
It is arranged on the circuit board with the memory 101；The power circuit, for each circuit or device for the terminal
Power supply；The memory 101, for storing computer program；The CPU102 reads and executes and stores in the memory 101
Computer program.The CPU102 is performed the steps of when executing the computer program obtains the energy storage device
The output power function of operating parameter, customer charge and power supply；According to the operating parameter and the power supply
Output power function, establish the dynamic control model of the energy storage device；It is negative according to the operating parameter and the user
Lotus determines the operation constraint condition of the energy storage device；According to the dynamic control model of the energy storage device and the user
Load establishes the optimization design object module of the energy storage device；According to the dynamic control model of the energy storage device and operation
Constraint condition solves the optimization design object module using iterative evolution algorithm, with the determination energy storage device
Optimizing design scheme；Wherein, the optimizing design scheme includes the capacity scale and operation reserve of the energy storage device.
It should be understood that graphic terminal 100 is only an example of terminal, and terminal 100 can have than figure
Shown in more or less component, two or more components can be combined, or can have different portions
Part configuration.Various parts shown in the drawings can be including one or more signal processings and/or specific integrated circuit
Hardware, software or hardware and software combination in realize.Terminal 800 for example can be computer.
Terminal provided in an embodiment of the present invention realizes the excellent of the parallel energy storage device for executing any embodiment of that present invention offer
Change design method operation, can the optimization aim model effectively to energy storage device solve.
The executable present invention of optimization design device, storage medium and the terminal of the energy storage device provided in above-described embodiment appoints
Anticipate embodiment provided by energy storage device optimum design method, have execute the corresponding functional module of the optimum design method and
Beneficial effect.The not technical detail of detailed description in the above-described embodiments, reference can be made to provided by any embodiment of the invention excellent
Change design method.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts, be combined with each other and substitutes without departing from protection scope of the present invention.Therefore, although by above embodiments to this
Invention is described in further detail, but the present invention is not limited to the above embodiments only, is not departing from present inventive concept
In the case of, it can also include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (12)
1. a kind of optimum design method of energy storage device, which is characterized in that the energy storage device includes electric heating phase-change accumulation energy dress
It sets, the electric heating phase-change energy storage device is stored for converting electrical energy into thermal energy, with for users to use；The optimization is set
Meter method includes:
Obtain the output power function of the operating parameter of the energy storage device, customer charge and power supply；
According to the operating parameter and the output power function of the power supply, the dynamic control of the energy storage device is established
Model；
According to the operating parameter and the customer charge, the operation constraint condition of the energy storage device is determined；
According to the dynamic control model of the energy storage device and the customer charge, the optimization design of the energy storage device is established
Object module；
According to the dynamic control model of the energy storage device and operation constraint condition, the optimization is set using iterative evolution algorithm
Meter object module is solved, with the optimizing design scheme of the determination energy storage device；Wherein, the optimizing design scheme includes
The capacity scale and operation reserve of the energy storage device.
2. optimum design method according to claim 1, which is characterized in that the electric heating phase-change energy storage device includes electricity
Heating element and phase-change accumulation energy main body；According to the operating parameter and the output power function of the power supply, institute is established
State the dynamic control model of energy storage device, comprising:
According to the operating parameter of the electrical heating elements and the phase-change accumulation energy main body, the operation of the phase-change accumulation energy main body is established
Dynamic model；
According to the output power function of the power supply, the power dynamic model of the electrical heating elements is established.
3. optimum design method according to claim 2, which is characterized in that according to the electrical heating elements and phase-change accumulation energy
The operating parameter of main body establishes the operation state model of the phase-change accumulation energy main body, comprising:
According to the operating parameter of the electrical heating elements, the electric-thermal storage efficiency of the electrical heating elements is determined；
According to the operating parameter of the phase-change accumulation energy main body, determine the phase-change accumulation energy main body after the stage；Wherein, the phase
Become energy storage main body includes solid phase sensible heat stage, latent heat of phase change stage and liquid phase sensible heat stage after the stage；
According to the electric-thermal storage efficiency of the electrical heating elements and the phase-change accumulation energy main body after the stage, using collection total heat
Appearance method establishes the dynamic operation model of the phase-change accumulation energy main body stage by stage.
4. optimum design method according to claim 3, which is characterized in that the dynamic operation mould of the phase-change accumulation energy main body
Type includes heat accumulation model and heat loss model；
The heat accumulation model specifically includes the heat accumulation model in solid phase sensible heat stage, the heat accumulation model in latent heat of phase change stage and liquid phase
The heat accumulation model in sensible heat stage；
The heat accumulation model in the solid phase sensible heat stage are as follows:
The heat accumulation model in the latent heat of phase change stage are as follows:
The heat accumulation model in the liquid phase sensible heat stage are as follows:
The heat loss model specifically includes the heat loss model in solid phase sensible heat stage, the heat loss in latent heat of phase change stage
Model and the heat loss model in liquid phase sensible heat stage；
The heat loss model in the solid phase sensible heat stage are as follows:
The heat loss model in the latent heat of phase change stage are as follows:
The heat loss model in the liquid phase sensible heat stage are as follows:
Wherein, the phase-change accumulation energy main body includes phase-change heat-storage material and its splendid attire body；P is the input work of the electrical heating elements
Rate；α and β is the empirical of the operation of the energy storage device；M is the quality of the phase-change accumulation energy main body；mpcmFor the phase transformation
The quality of heat accumulating；cS、chAnd cLSolid phase specific heat, equivalent latent heat specific heat and the liquid phase ratio of the respectively described phase-change accumulation energy main body
Heat；RS, RlatAnd RLPhase described in the respectively described solid phase sensible heat stage, the latent heat of phase change stage and the liquid phase sensible heat stage
Become total heat exchanged thermoresistance of energy storage main body；T is the mean temperature of the phase-change accumulation energy main body；TaFor environment temperature；T is the time.
5. optimum design method according to claim 2, which is characterized in that the output power function packet of the power supply
Include the power output power function of utility grid and the power output power function of renewable energy；
According to the output power function of the power supply, the power dynamic model of the electrical heating elements is established, comprising:
According to the segmentation policy of utility grid, the power output power P of paddy electricity in the utility grid is obtained1With the power of time t
Function g (t)；
According to the fluctuation of renewable energy each period, the power output power P of the renewable energy is obtained2With the function of time t
Rate function f (t)；
According to the power output power P of paddy electricity in the utility grid1Power function g (t) and the renewable energy electric energy
Output power P2Power function f (t), establish the input power P of the electrical heating elements dynamic model be P=f (t)+g
(t)。
6. optimum design method according to claim 2, which is characterized in that control mould according to the dynamic of the energy storage device
Type and the customer charge establish the optimization design object module of the energy storage device, comprising:
According to the dynamic model of the input power P of the electrical heating elements, optimizing cycle and the institute of the energy storage device are determined
State multiple adjusting sections in optimizing cycle；Wherein, each input power P for adjusting the electrical heating elements in section is permanent
It is fixed；
According to the operation state model of the phase-change accumulation energy main body, the power dynamic model of the electrical heating elements and the use
Family load determines that the optimization design object module in the optimizing cycle is as follows:
Wherein, J is total consuming of an optimizing cycle；N is the number for the adjusting section that the optimizing cycle divides；i
For i-th of adjusting section；ΔtiThe regulating time of section is adjusted for i-th；PiFor i-th adjust section in the electrical heating elements it is defeated
Enter power；δ is the electrical heating elements unit power consumption expense；M is the quality of the phase-change accumulation energy main body；For phase transformation storage
The investment cost of energy main body unit mass and time；τ is the customer chargeThe unit costs of energy；Ex is phase transformation storage
Energy main body storageEnergy；ExuserFor the customer chargeEnergy；λ is load margin.
7. optimum design method according to claim 6, which is characterized in that control mould according to the dynamic of the energy storage device
Type and operation constraint condition, solve the optimization design object module using iterative evolution algorithm, with the determination storage
The optimizing design scheme of energy device, comprising:
According to the dynamic operation model of the phase-change accumulation energy main body, determine the phase-change accumulation energy main body respectively after the stage it is lasting when
Between；The phase-change accumulation energy main body includes solid phase sensible heat stage, latent heat of phase change stage and liquid phase sensible heat after the stage；
Each duration after the stage for calculating the phase-change accumulation energy main body and an adjusting section institute in the optimizing cycle
The ratio to take time determines the locating stage at the end of the current adjusting section of the phase-change accumulation energy main body；
According to each duration after the stage of the operation constraint condition and the phase-change accumulation energy main body, the phase is determined
Become the end time point of the current adjusting section operational process of energy storage main body；
Locating stage and the phase-change accumulation energy main body is current at the end of according to the current adjusting section of the phase-change accumulation energy main body
The end time point for adjusting section operational process, establishes the operation logic analysis process of the energy storage device；
The iterative evolution algorithm is initialized, according to the operation logic analysis process, using iterative evolution algorithm pair
The optimization design object module is solved, with the optimizing design scheme of the determination energy storage device.
8. optimum design method according to claim 2, which is characterized in that according to the operating parameter and the user
Load determines that the operation constraint condition of the energy storage device is as follows:
Wherein, TminAnd TmaxThe minimum limit temperature and maximum limit temperature of the respectively described phase-change accumulation energy main body；PminAnd Pmax
The lowest power and peak power that the respectively described electrical heating elements can input；Ex is phase-change accumulation energy main body storage
Energy；ExuserFor the customer chargeEnergy；λ is load margin.
9. described in any item optimum design methods according to claim 1~8, which is characterized in that the iterative evolution algorithm packet
Include particle swarm algorithm.
10. a kind of optimization design device of energy storage device, which is characterized in that the energy storage device includes electric heating phase-change accumulation energy dress
It sets, the electric heating phase-change energy storage device is stored for converting electrical energy into thermal energy, with for users to use；The optimization is set
Counter device includes:
Parameter acquisition module, for obtaining the operating parameter of the energy storage device, customer charge and the output work of power supply
Rate function；
Dynamic Model module is established for the output power function according to the operating parameter and the power supply
The dynamic control model of the energy storage device；
Constraint condition determining module, for determining the energy storage device according to the operating parameter and the customer charge
Run constraint condition；
Object module establishes module, for according to the energy storage device dynamic control model and the customer charge, establish
The optimization design object module of the energy storage device；
Object module solves module, is used for according to the operation constraint condition and the dynamic control model, using iterative evolution
Algorithm solves the optimization design object module, with the optimizing design scheme of the determination energy storage device；Wherein, described
Optimizing design scheme includes the capacity scale and operation reserve of the energy storage device.
11. a kind of storage medium, is stored thereon with computer program, which is characterized in that the realization when program is executed by processor
The optimum design method of energy storage device as described in any in claim 1~9.
12. a kind of terminal including memory, processor and stores the computer journey that can be run on a memory and on a processor
Sequence, which is characterized in that the processor realizes the storage as described in any in claim 1~9 when executing the computer program
The optimum design method of energy device.
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