CN110070198A - One kind is provided multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration - Google Patents
One kind is provided multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration Download PDFInfo
- Publication number
- CN110070198A CN110070198A CN201810060708.4A CN201810060708A CN110070198A CN 110070198 A CN110070198 A CN 110070198A CN 201810060708 A CN201810060708 A CN 201810060708A CN 110070198 A CN110070198 A CN 110070198A
- Authority
- CN
- China
- Prior art keywords
- energy
- energy storage
- complement
- optimal
- load
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Abstract
It provides multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration the invention discloses one kind, comprising: power supply unit, said supply unit are photovoltaic generating system and municipal network system；Refrigeration and heating equipment, the refrigeration and heating equipment are geothermal heat pump air-conditioning system；Energy storage device, the energy storage device include battery and water energy storage equipment；End loads, the end loads include electric load, summer refrigeration duty and winter thermic load；The present invention utilizes load different in various energy resources form supply public building, form the complementation of the energy, energy storage method for optimizing configuration has comprehensively considered the configuration economy and performance driving economy of battery Yu water energy storage equipment, optimal accumulator capacity and water energy storage equipment volume is calculated, realizes the economic optimum provided multiple forms of energy to complement each other building energy systems life cycle.
Description
Technical field
The present invention relates to energy system planning technical field, more particularly to one kind provide multiple forms of energy to complement each other building energy system and its
Energy storage method for optimizing configuration.
Background technique
The outstanding feature of building energy consumption is that electricity consumption is more, costly with energy, and the peak-valley difference of energy demand is big, to the steady of power grid
Fixed operation brings adverse effect.
System operation cost can be reduced using energy storage device in building energy system, realize peak load shifting.Battery
As a kind of electrical energy storage, the renewable energy power generation with fluctuation can be dissolved, using tou power price by electricity price
The electric load of peak period is transferred to electricity price trough period, improves system economy, realizes the peak load shifting of total system, be conducive to electricity
Net stable operation；But battery is invested, and maintenance cost is higher, and the service life is shorter, whole life cycle economy is poor.
It can be by electricity price peak period using the temperature difference energy storage of water suitable for the water energy storage equipment of geothermal heat pump air-conditioning system
Hot and cold load be transferred to electricity price trough period, system economy is improved, using facilities such as the original fire-fighting ponds of building as storing
Water container, investment maintenance cost is low, long service life；But water energy storage equipment can only transfer system cooling and heating load, in non-air-conditioning season
It is not available, and renewable energy power generation is acted on without consumption.
Summary of the invention
In order to solve the deficiencies in the prior art, provides multiple forms of energy to complement each other building energy system the present invention provides one kind, done in large size
In the energy resource system that Gongjian builds, while battery and water energy storage equipment are introduced, can play while playing the excellent of two kinds of energy storage modes
Gesture, but need to reasonably select the capacity configuration of two kinds of energy storage devices, while fully considering the economical operation side of two kinds of energy storage devices
Formula, the economy that can be only achieved in life cycle are optimal.
One kind is provided multiple forms of energy to complement each other building energy system, includes:
Power supply unit, said supply unit are photovoltaic generating system and municipal network system；
Refrigeration and heating equipment, the refrigeration and heating equipment are geothermal heat pump air-conditioning system；
Energy storage device, the energy storage device include battery and water energy storage equipment；
End loads, the end loads include electric load, summer refrigeration duty and winter thermic load；
Energy needed for the summer refrigeration duty and winter thermic load utilizes electric energy and underground heat by geothermal heat pump air-conditioning system
It can generate；
The battery saves the electric energy from photovoltaic power generation and power grid, to power supply for electrical equipment；The water energy storage equipment
The cold water or hot water for saving earth source heat pump preparation, to refrigeration duty cooling supply or to thermic load heat supply, geothermal heat pump air-conditioning system and water
Energy storage equipment is energized to refrigeration duty or thermic load simultaneously.
Further, the photovoltaic generating system acquires data by photovoltaic system collector and is passed by dispatching distribution device
Transport to database server, the database server respectively with Web server and Optimized Operation server communication, the Web
Server is communicated with pc client and mobile client respectively, and the Optimized Operation server passes through real-time in reading database
Data solve with the optimal operation model combined, rolling is adjusted in real time using based on scheduling a few days ago and obtain the scheduling of subsequent time
Signal, the controller of each energy device is passed to by dispatching distribution device, and controller generation control signal passes to each energy and sets
It is standby.
Further, the optimal operation model is lower layer's optimal operation model of energy storage Optimal Allocation Model, under described
Layer optimal operation model considers the charge and discharge of battery with the minimum target of building energy system whole year operating cost of providing multiple forms of energy to complement each other
Influence of the operational process to its service life, operating cost include purchases strategies and the battery conversion of building energy system whole year operation
To daily depreciable cost, decision variable is the annual operational plan of each equipment in system.
Further, in said supply unit photovoltaic generating system and municipal network system by the way of selecting one or two
Electrical equipment is powered by the way of person.
Further, the building energy system of providing multiple forms of energy to complement each other is built applied to load discontinuous form, the load discontinuous form
It is opposite with cold heat load stable to build electric load on daytime, night in addition to the presence of a small amount of electric load of part emergency set, without it is cold/
Thermic load exists.
One kind is provided multiple forms of energy to complement each other building energy system stored energy method for optimizing configuration, and bi-level optimal model is established, comprising:
Upper layer energy storage Optimal Allocation Model is established, with the minimum optimization mesh of the annual value costs such as building energy system stored energy equipment
Mark is worth initial outlay cost, annual purchases strategies, the average annual operation expense of energy storage device, energy storage years including energy storage device etc.
The years value such as equipment replacement cost；Using accumulator capacity, water energy storage equipment volume as decision variable；
Underlying system optimal operation model is established, with the minimum mesh of building energy system whole year operating cost of providing multiple forms of energy to complement each other
Mark, considers influence of the charge and discharge operational process of battery to its service life, and operating cost is run comprising building energy system whole year
Purchases strategies and battery conversion to daily depreciable cost, decision variable is the annual operational plan of each equipment in system；
It solves bi-level optimal model: solving upper layer energy storage Optimal Allocation Model using heuristic search algorithm, solve lower layer
The mixed integer linear programming of system optimized operation model, and return to upper layer energy storage Optimal Allocation Model as fitness value, repeatedly
In generation, evolves and obtains the optimal capacity of battery Yu water energy storage equipment.
Further, constraint condition is the constraint of energy storage device capacity limit in the upper layer energy storage Optimal Allocation Model.
Further, main constraints include: electric energy balance constraint, cooling supply in the underlying system optimal operation model
Heat supply is constrained greater than cooling and heating load, prevents valley period power load big ups and downs from constraining, accumulator cell charging and discharging power constraint, earth source heat pump
Operation of air conditioner constraint, water energy storage equipment storage release energy constraint, the constraint of water energy storage equipment working time.For non-in constraint condition
Linear function is converted into linear restriction using piecewise-linear techniques.
Further, it when being solved to bi-level optimal model, specifically includes:
Step 3.1, the input parameter of bi-level optimal model is obtained, comprising: geothermal heat pump air-conditioner parameter, accumulator property ginseng
Number, water energy storage equipment performance parameter, power grid tou power price, system whole year cool and thermal power hourly load, annual photovoltaic generation power are pre-
Measured value；
Step 3.2, the earth source heat pump coefficient of performance is nonlinear model in lower layer's optimal operation model, by multinomial letter
Number carries out piece-wise linearization, is mixed integer linear programming by model conversation；
Step 3.3, upper layer Optimal Allocation Model is solved using genetic algorithm, for the individual that every generation generates, i.e. electric power storage
Tankage CapbatWith water energy storage equipment volume VTESConfiguration combination, into lower layer's optimal operation model, solve MIXED INTEGER
Linear programming obtains lower layer's whole year operating cost；
Step 3.4, which returns to lower layer's whole year operating cost to calculate in the Optimal Allocation Model of upper layer, distributes general objective rationally, right
Individual goal value in lower layer's optimal operation model without feasible solution distributes maximum, obtains individual adaptation degree, by heredity into
Change forms new individual, and return step 3.3, loop iteration is up to convergence or reaches maximum genetic algebra, and optimal storage can be obtained
It can capacity configuration combination and the annual operational plan under the combination of optimal stored energy capacitance.
Further, in the step 3.1, when carrying out system optimization configuration calculating, the annual cold and hot electric load of system makes
It is simulated with historical data or using efficiency software, wherein electric load does not include air conditioning electricity load；Annual photovoltaic generation power is pre-
Measured value usage history data are calculated according to meteorologic parameter with photovoltaic power generation output power model.
Compared with prior art, the beneficial effects of the present invention are:
The present invention introduces battery and water energy storage equipment in the energy resource system that larger office is built, and can play same
The advantage of two kinds of energy storage modes of Shi Fahui, but need to reasonably select the capacity configuration of two kinds of energy storage devices, while fully considering two
The way of economic operation of kind energy storage device, the economy that can be only achieved in life cycle are optimal.
The present invention forms the complementation of the energy, energy storage is matched using load different in various energy resources form supply public building
Configuration economy and performance driving economy that optimization method has comprehensively considered battery Yu water energy storage equipment are set, is calculated optimal
Accumulator capacity and water energy storage equipment volume realize the economic optimum provided multiple forms of energy to complement each other building energy systems life cycle.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is the building energy system construction drawing of providing multiple forms of energy to complement each other.
Fig. 2 is the building energy system configuration optimization method flow chart of providing multiple forms of energy to complement each other.
Fig. 3 is the building energy running mode of providing multiple forms of energy to complement each other.
Specific embodiment
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
As background technique is introduced, deficiency exists in the prior art, in order to solve technical problem as above, the application
One kind is proposed to provide multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration.
In a kind of typical embodiment of the application, provide multiple forms of energy to complement each other building energy system as shown in Figure 1, providing one kind
System, which provides multiple forms of energy to complement each other in building energy system using photovoltaic power generation and municipal power grid as power supply unit, empty with earth source heat pump
For adjusting system as refrigeration and heating equipment, energy storage device includes battery and water energy storage equipment, and end loads include electric load, summer
Refrigeration duty and winter thermic load.
Wherein, the energy needed for electrical equipment come from photovoltaic power generation or power grid, or both be used in combination；Power grid electricity price is peak Pinggu point
When electricity price, system is only from power grid power purchase, not to power grid sale of electricity, extra electricity by abandon can in the form of consume；Summer refrigeration duty and winter
Energy needed for thermic load is generated by geothermal heat pump air-conditioner using electric energy and geothermal energy.
Battery can save the electric energy from photovoltaic power generation and power grid, can be to power supply for electrical equipment；Water energy storage equipment can be deposited
The cold water or hot water of earth source heat pump preparation are stored, to refrigeration duty cooling supply or to thermic load heat supply, earth source heat pump and water energy storage equipment can
It is energized simultaneously to refrigeration duty or thermic load.
The system is mainly used in load discontinuous form building, such as office building, market, which is characterized in that usual electricity on daytime
Load is opposite with cold heat load stable, and night is in addition to the presence of a small amount of electric load of part emergency set, no cold heat load exists.
As shown in Fig. 2, the present invention provides building energy systems of providing multiple forms of energy to complement each other in another specific embodiment of the invention
Energy storage method for optimizing configuration, steps are as follows for execution:
Step 1. obtains in building energy system of providing multiple forms of energy to complement each other the service life of battery and water accumulation of energy, price parameter, Yi Jike
With the maximum capacity of configuration, upper layer Optimal Allocation Model is established, comprising the following steps:
Step 1.1 objective function is that the annual value costs such as energy storage device are minimum:
min CTot=CIni+Cbuy+COM+CRep
COM=COM, bat+COM, TES
CRep=CRep, bat+CRep, TES
The decision variable of upper layer Optimal Allocation Model is accumulator capacity CapbatWith water energy storage equipment volume VTES.Above formula
In, CTotRepresent the annual value costs such as energy storage device, CIniRepresent the years value initial outlay cost such as energy storage device, Kbat、KTESTable respectively
That shows unit capacity battery and unit volume water energy storage equipment purchases mounting cost, lbat、lTESIt respectively indicates battery and stores
The service life in energy pond, r are capital interest rate.COMRepresent the average annual operation expense of energy storage device, COM, bat、COM, TESTable respectively
Show the average annual operation and maintenance cost of battery and water energy storage equipment.CbuyFor system whole year purchases strategies, pass through annual electricity per hour
Valence p (t) with per hour from power grid purchase of electricity Pgrid(t) it is calculated.CRepThe years value replacement expense such as energy storage device is represented,
CRep, bat、CRep, TESThe equal years of respectively battery and water energy storage equipment are worth replacement expense, K 'TESTake for the resetting of water energy storage equipment
With wherein the battery replacement cost and its operating status are closely related, therefore converting is battery whole year amortization charge, by complete
Charge in year expense C per hourBat, ch, charge power PBat, ch(t), discharge expense CBat, dis, electric discharge expense CBat, dis(t) it calculates
It arrives.
Step 1.2 Existence restraint condition:
0≤Capbat≤CapBat, max
0≤VTES≤VTES, max
In formula, CapBat, max、VTES, maxRespectively indicate battery maximum capacity and water energy storage equipment maximum volume.
Step 2. obtains the prediction whole year cool and thermal power load data for building energy system of providing multiple forms of energy to complement each other, predicts annual photovoltaic hair
Electric data, market guidance data, establish lower layer's optimal operation model, comprising the following steps:
The objective function of step 2.1 optimization operation includes year power purchase expense and battery yearly depreciation charge, adds up to year fortune
Row expense.
Lower layer optimization operation problem in, decision variable be each energy device annual traffic control plan, including with electricity
Net interaction power Pgrid(t)；Accumulator cell charging and discharging power PBat, ch(t)、PBat, dis(t)；Geothermal heat pump air-conditioner electric power PGSHP
(t)；Energy storage pool stores heat release amount Q per hourTES, heat(t), it stores and releases cooling capacity QTES, cold(t)。
Step 2.2 Existence restraint condition
(1) energy balance constrains:
Pgrid(t)+PPV(t)=PBat, ch(t)-PBat, dis(t)+PGSHP(t)+Pother(t)
QHP, h(t)≥QTES, h(t)+QLoad, h(t)
QHP, c(t)≥QTES, c(t)+QLoad, c(t)
In formula, Pother(t)、QLoad, h(t)、QLoad, c(t) electric load, the thermic load, refrigeration duty for respectively indicating the t period be
Known quantity, QHP, h(t)、QHP, c(t) it is respectively heat and cooling capacity that the earth source heat pump t period generates.
(2) electric constraint is bought:
Pgrid(t)≥0
(3) paddy phase power Climing constant: to form artificial load peak after preventing energy storage device transfer load to paddy phase, add
Add paddy phase electricity consumption total load Climing constant.
|Pgrid(t+1)-Pgrid(t)|≤ΔPGrid, max, t ∈ V
In formula, Δ PGrid, maxIndicate that the paddy phase buys electrical power maximum and rises limitation, set V indicates electricity price low-valley interval.
(4) battery operation constraint:
SOC(t+1)*Capbat
=SOC (t) (1- δbat)*Capbat+PBat, ch(t)*ηch-PBat, dis(t)*ηdis
SSOC(t)∈[SOCmin, SOCmax]
SOC(t1)=SOC (t1+ 24)=SOCmin
0≤PBat, ch(t)≤zch(t)*γCh, max*Capbat
0≤PBat, dis(t)≤zdis(t)*γDis, max*Capbat
In formula, SOC (t) is storage battery charge state, δbat、ηch、ηdis, respectively indicate battery self-discharge rate, charging effect
Rate, discharging efficiency, γCh, max、γDis, maxRespectively indicate battery maximum charge rate, discharge rate, zch(t)、zdis(t) divide
The 0-1 variable of accumulator charging and discharging state Wei not be indicated, dispatching cycle when running optimizatin is 24 hours, t1Indicate each scheduling
First moment that period starts.
(5) geothermal heat pump air-conditioner operation constraint:
γC, min*QHP, c, max*zHP, c(t)≤QHP, c(t)≤QHP, c, max*zHP, c(t)
γH, min*QHP, h, max*zHP, h(t)≤QHP, h(t)≤QHP, h, max*zHP, h(t)
zHP, c(t)+zHP, h(t)≤1
QHP, c(t)=PHP, c(t)*COPc(t)
QHP, h(t)=PHP, h(t)*COPh(t)
PGSHP(t)=PHP, c(t)+PHP, h(t)
In formula, γC, min、γH, minRespectively indicate earth source heat pump refrigeration, heating capacity minimum scale, QHP, c, max、QHP, h, maxPoint
Not Biao Shi earth source heat pump maximum cooling capacity, heating capacity, zHP, c(t)、zHP, hIt (t) is respectively to indicate earth source heat pump in t period system
Cold, heating state 0-1 variable, PHP, c(t)、PHP, h(t) to be respectively earth source heat pump freeze in the t period, heat use electric work
Rate, COPc(t)、COPh(t) coefficient of performance when being respectively earth source heat pump refrigeration, heating, which can be according to current time
Refrigeration (heat) amount and the ratio calculation of maximum refrigeration (heat) amount obtain, wherein a1、b1、c1、d1、a2、b2、c2、d2It is to calculate system
Number.
(6) water energy storage equipment operation constraint:
QSt, c(t+1)=(1- δTES, c)*QSt, c(t)+QTES, c(t)
QSt, h(t+1)=(1- δTES, h)*QSt, h(t)+QTES, h(t)
0≤QSt, c(t)≤QCap, c
0≤QSt, h(t)≤QCap, h
QTES, c(t) >=0, t ∈ V
QTES, h(t) >=0, t ∈ V
QTES, c(t)≤0, t ∈ P
QTES, h(t)≤0, t ∈ P
In formula, QSt, c(t)、QSt, hIt (t) is respectively the cooling capacity stored in current t moment water energy storage equipment and heat, δTES, c、
δTES, hRespectively water energy storage equipment per hour cooling capacity, heat naturally scatter and disappear coefficient, QCap, c、QCap, hIndicate that water energy storage equipment can
The maximum cooling capacity of storage, heat can obtain, c according to the volume calculations of water energy storage equipmentpFor the specific heat capacity of water, Δ tcWith Δ thPoint
Not Biao Shi cold-storage when supply backwater temperature difference, accumulation of heat when supply backwater temperature difference, ε indicate reservoir sophistication, indicate reservoir
Volume utilization.Set V, P respectively indicates electricity price low-valley interval, peak period, to improve water energy storage equipment utilization rate, water accumulation of energy
Device is unable to released cold quantity, heat in electricity price low-valley interval, cannot save cooling capacity, heat in electricity price peak period.
Step 3. solves above-mentioned bi-level optimal model using the methods of genetic algorithm and branch-and-bound, specifically includes following step
It is rapid:
The input parameter of step 3.1 acquisition model, comprising: geothermal heat pump air-conditioner parameter, accumulator property parameter, water accumulation of energy
Device performance parameters, power grid tou power price, system whole year cool and thermal power hourly load, annual photovoltaic power generation power prediction value.Into
When row system optimization configuration calculates, the annual cold and hot electric load of system can be used historical data or be simulated using efficiency software, pay attention to
Wherein electric load does not include air conditioning electricity load；Annual photovoltaic power generation power prediction value can be used historical data or be joined according to meteorology
Number is calculated with photovoltaic power generation output power model.
The earth source heat pump coefficient of performance is nonlinear model in step 3.2 lower layer optimal operation model, by multinomial letter
Number carries out piece-wise linearization, is mixed integer linear programming by model conversation, convenient for solving.
Step 3.3 solves upper layer Optimal Allocation Model using genetic algorithm, for the individual that every generation generates, i.e. battery
Capacity C apbatWith water energy storage equipment volume VTESConfiguration combination, into lower layer's optimal operation model, using branch-and-bound etc.
Method solves mixed integer linear programming, obtains annual operating cost.
Lower layer's whole year operating cost is returned to upper layer calculation optimization and configures general objective by step 3.4, for lower layer without feasible solution
Individual goal value distribute maximum, obtain individual adaptation degree, form new individual by genetic evolution, return step 3.3 is followed
Ring iterative is up to convergence or reaches maximum genetic algebra, and optimal stored energy capacitance configuration combination and optimal stored energy capacitance can be obtained
Annual operational plan under combination.
In another embodiment of the present invention, building energy system proposed by the present invention of providing multiple forms of energy to complement each other is in actual moving process
In, it needs to optimize scheduling and Supervised Control to battery, geothermal heat pump air-conditioner, water energy storage equipment in system, to ensure to be
Energy device in system is run in a manner of economic optimum.With reference to Fig. 3, in actual moving process, live energy device passes through
Data are uploaded to database server by respective data acquisition device, and operation data can externally be issued by Web server, are used
Family can access Web server by pc client browser or mobile client and check operation data；Meanwhile Optimized Operation service
Device is by the real time data in reading database, using based on dispatching a few days ago and adjust the optimal operation model combined, mould in real time
Type can refer to lower layer's optimal operation model of energy storage Optimal Allocation Model in the present invention, rolls solution and obtains the scheduling of subsequent time
Signal, the controller of each energy device is passed to by dispatching distribution device, and controller generates control using certain control strategy
Signal passes to each energy device.Within the system, CAN bus, RS- can be used in the acquisition of live energy device and controller
The modes such as 485 universal serial bus communicate, and dispatching distribution device has both gateway function, and it is ubiquitous green different agreement can be converted to IEEE1888
Color community Control network protocols, are communicated with server.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
- The building energy system 1. one kind is provided multiple forms of energy to complement each other, characterized in that include:Power supply unit, said supply unit are photovoltaic generating system and municipal network system；Refrigeration and heating equipment, the refrigeration and heating equipment are geothermal heat pump air-conditioning system；Energy storage device, the energy storage device include battery and water energy storage equipment；End loads, the end loads include electric load, summer refrigeration duty and winter thermic load；Energy needed for the summer refrigeration duty and winter thermic load is produced by geothermal heat pump air-conditioning system using electric energy and geothermal energy It is raw；The battery saves the electric energy from photovoltaic power generation and power grid, to power supply for electrical equipment；The water energy storage equipment is saved The cold water or hot water of earth source heat pump preparation, to refrigeration duty cooling supply or to thermic load heat supply, geothermal heat pump air-conditioning system and water accumulation of energy Device is energized to refrigeration duty or thermic load simultaneously.
- The building energy system 2. one kind as described in claim 1 is provided multiple forms of energy to complement each other, characterized in that the photovoltaic generating system passes through Photovoltaic system collector acquisition data are simultaneously transmitted to database server, the database server difference by dispatching distribution device With Web server and Optimized Operation server communication, the Web server is communicated with pc client and mobile client respectively, The Optimized Operation server uses what is combined based on scheduling a few days ago and real-time adjustment by the real time data in reading database Optimal operation model rolls solution and obtains the scheduling signals of subsequent time, passes to each energy device by dispatching distribution device Controller, controller generate control signal and pass to each energy device.
- The building energy system 3. one kind as claimed in claim 2 is provided multiple forms of energy to complement each other, characterized in that the optimal operation model is storage Lower layer's optimal operation model of energy Optimal Allocation Model, lower layer's optimal operation model are complete with building energy system of providing multiple forms of energy to complement each other The minimum target of annual operating and maintenance cost, considers influence of the charge and discharge operational process of battery to its service life, and operating cost includes to build To daily depreciable cost, decision variable is respectively to set in system for the purchases strategies for building the operation of energy resource system whole year and battery conversion Standby annual operational plan.
- The building energy system 4. one kind as described in claim 1 is provided multiple forms of energy to complement each other, characterized in that photovoltaic is sent out in said supply unit Electric system and municipal network system by the way of selecting one or both by the way of electrical equipment is powered.
- The building energy system 5. one kind as described in claim 1 is provided multiple forms of energy to complement each other, characterized in that the building energy of providing multiple forms of energy to complement each other System is built applied to load discontinuous form, and the load discontinuous form builds electric load on daytime stable, night opposite with cold heat load In addition to the presence of a small amount of electric load of part emergency set, no cold heat load exists.
- 6. based on a kind of energy storage method for optimizing configuration of any building energy system of providing multiple forms of energy to complement each other of claim 1-5, It is characterized in, establishes bi-level optimal model, comprising:Upper layer energy storage Optimal Allocation Model is established, with the minimum optimization aim of the annual value costs such as building energy system stored energy equipment, It is worth initial outlay cost, annual purchases strategies, the average annual operation expense of energy storage device, energy storage device years including energy storage device etc. The years value such as replacement cost；Using accumulator capacity, water energy storage equipment volume as decision variable；Underlying system optimal operation model is established, with the minimum target of building energy system whole year operating cost of providing multiple forms of energy to complement each other, is examined Consider influence of the charge and discharge operational process of battery to its service life, operating cost includes the power purchase of building energy system whole year operation To daily depreciable cost, decision variable is the annual operational plan of each equipment in system for cost and battery conversion；It solves bi-level optimal model: solving upper layer energy storage Optimal Allocation Model using heuristic search algorithm, solve underlying system The mixed integer linear programming of optimal operation model, and return to upper layer energy storage Optimal Allocation Model as fitness value, iteration into Change obtains the optimal capacity of battery Yu water energy storage equipment.
- The building energy system stored energy method for optimizing configuration 7. one kind as claimed in claim 6 is provided multiple forms of energy to complement each other, characterized in that described Constraint condition is the constraint of energy storage device capacity limit in upper layer energy storage Optimal Allocation Model.
- The building energy system stored energy method for optimizing configuration 8. one kind as claimed in claim 6 is provided multiple forms of energy to complement each other, characterized in that described Main constraints include: electric energy balance constraint in underlying system optimal operation model, and cold and heat supply is constrained greater than cooling and heating load, Prevent valley period power load big ups and downs from constraining, accumulator cell charging and discharging power constraint, geothermal heat pump air-conditioner operation constraint, water accumulation of energy dress It sets storage and releases energy constraint, the constraint of water energy storage equipment working time.For the nonlinear function in constraint condition, piecewise linearity is used Change method is converted into linear restriction.
- The building energy system stored energy method for optimizing configuration 9. one kind as claimed in claim 6 is provided multiple forms of energy to complement each other, characterized in that double When layer Optimized model is solved, specifically include:Step 3.1, obtain the input parameter of bi-level optimal model, comprising: geothermal heat pump air-conditioner parameter, accumulator property parameter, Water energy storage equipment performance parameter, power grid tou power price, system whole year cool and thermal power hourly load, annual photovoltaic power generation power prediction Value；Step 3.2, in lower layer's optimal operation model the earth source heat pump coefficient of performance be nonlinear model, by polynomial function into Model conversation is mixed integer linear programming by row piece-wise linearization；Step 3.3, upper layer Optimal Allocation Model is solved using genetic algorithm, for the individual that every generation generates, i.e. electric power storage pool capacity Measure CapbatWith water energy storage equipment volume VTESConfiguration combination, into lower layer's optimal operation model, solve MIXED INTEGER it is linear Planning, obtains lower layer's whole year operating cost；Step 3.4, which returns to lower layer's whole year operating cost to calculate in the Optimal Allocation Model of upper layer, distributes general objective rationally, under The individual goal value without feasible solution distributes maximum in layer optimal operation model, individual adaptation degree is obtained, by genetic evolution shape The individual of Cheng Xin, return step 3.3, loop iteration is up to convergence or reaches maximum genetic algebra, and optimal energy storage can be obtained and hold Annual operational plan under amount configuration combination and the combination of optimal stored energy capacitance.
- The building energy system stored energy method for optimizing configuration 10. one kind as claimed in claim 9 is provided multiple forms of energy to complement each other, characterized in that institute It states in step 3.1, when carrying out system optimization configuration and calculating, the annual cold and hot electric load usage history data of system or uses efficiency Software simulation, wherein electric load does not include air conditioning electricity load；Annual photovoltaic power generation power prediction value usage history data or root It is calculated according to meteorologic parameter with photovoltaic power generation output power model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810060708.4A CN110070198A (en) | 2018-01-22 | 2018-01-22 | One kind is provided multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810060708.4A CN110070198A (en) | 2018-01-22 | 2018-01-22 | One kind is provided multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110070198A true CN110070198A (en) | 2019-07-30 |
Family
ID=67364735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810060708.4A Pending CN110070198A (en) | 2018-01-22 | 2018-01-22 | One kind is provided multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110070198A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610031A (en) * | 2019-08-22 | 2019-12-24 | 广东电网有限责任公司 | Design method of photovoltaic heat pump energy storage comprehensive energy system |
| CN110717634A (en) * | 2019-10-23 | 2020-01-21 | 国网冀北电力有限公司秦皇岛供电公司 | Early warning method and device for voltage out-of-limit caused by photovoltaic and electric heating |
| CN111884240A (en) * | 2020-08-20 | 2020-11-03 | 上海明华电力科技有限公司 | Distributed energy station optimized operation method with high-capacity water energy storage device |
| CN111898801A (en) * | 2020-06-28 | 2020-11-06 | 国网上海能源互联网研究院有限公司 | Method and system for configuring multi-energy complementary power supply system |
| CN112508372A (en) * | 2020-11-27 | 2021-03-16 | 上海发电设备成套设计研究院有限责任公司 | Method, device and equipment for determining operation strategy of energy storage water tank and storage medium |
| CN113610269A (en) * | 2021-06-28 | 2021-11-05 | 天津大学 | Multi-objective optimization-based rural residential building low-carbon energy system optimization method |
| CN117490133A (en) * | 2023-12-29 | 2024-02-02 | 上海勘测设计研究院有限公司 | Heating control method and multi-energy complementary heating system |
| CN111898801B (en) * | 2020-06-28 | 2024-04-23 | 国网上海能源互联网研究院有限公司 | Method and system for configuring multi-energy complementary power supply system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103617460A (en) * | 2013-12-06 | 2014-03-05 | 天津大学 | Double-layer optimization planning and designing method for combined cooling, heating and power micro-grid system |
| CN104393587A (en) * | 2014-11-19 | 2015-03-04 | 张洪亮 | Combined cooling, heating and power energy station utilizing renewable energy sources |
| CN107482638A (en) * | 2017-07-21 | 2017-12-15 | 杭州电子科技大学 | Supply of cooling, heating and electrical powers type micro-capacitance sensor multiobjective Dynamic Optimization dispatching method |
-
2018
- 2018-01-22 CN CN201810060708.4A patent/CN110070198A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103617460A (en) * | 2013-12-06 | 2014-03-05 | 天津大学 | Double-layer optimization planning and designing method for combined cooling, heating and power micro-grid system |
| CN104393587A (en) * | 2014-11-19 | 2015-03-04 | 张洪亮 | Combined cooling, heating and power energy station utilizing renewable energy sources |
| CN107482638A (en) * | 2017-07-21 | 2017-12-15 | 杭州电子科技大学 | Supply of cooling, heating and electrical powers type micro-capacitance sensor multiobjective Dynamic Optimization dispatching method |
Non-Patent Citations (2)
| Title |
|---|
| 王刚等: "基于鲁棒后悔度的光储微网优化调度", 《电网技术》 * |
| 王鲁浩等: "多可再生能源冷热电联供微网系统环境经济优化调度", 《控制与决策》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610031A (en) * | 2019-08-22 | 2019-12-24 | 广东电网有限责任公司 | Design method of photovoltaic heat pump energy storage comprehensive energy system |
| CN110610031B (en) * | 2019-08-22 | 2023-04-18 | 广东电网有限责任公司 | Design method of photovoltaic heat pump energy storage comprehensive energy system |
| CN110717634A (en) * | 2019-10-23 | 2020-01-21 | 国网冀北电力有限公司秦皇岛供电公司 | Early warning method and device for voltage out-of-limit caused by photovoltaic and electric heating |
| CN110717634B (en) * | 2019-10-23 | 2023-04-14 | 国网冀北电力有限公司秦皇岛供电公司 | Early warning method and device for voltage out-of-limit caused by photovoltaic and electric heating |
| CN111898801A (en) * | 2020-06-28 | 2020-11-06 | 国网上海能源互联网研究院有限公司 | Method and system for configuring multi-energy complementary power supply system |
| CN111898801B (en) * | 2020-06-28 | 2024-04-23 | 国网上海能源互联网研究院有限公司 | Method and system for configuring multi-energy complementary power supply system |
| CN111884240A (en) * | 2020-08-20 | 2020-11-03 | 上海明华电力科技有限公司 | Distributed energy station optimized operation method with high-capacity water energy storage device |
| CN112508372A (en) * | 2020-11-27 | 2021-03-16 | 上海发电设备成套设计研究院有限责任公司 | Method, device and equipment for determining operation strategy of energy storage water tank and storage medium |
| CN113610269A (en) * | 2021-06-28 | 2021-11-05 | 天津大学 | Multi-objective optimization-based rural residential building low-carbon energy system optimization method |
| CN117490133A (en) * | 2023-12-29 | 2024-02-02 | 上海勘测设计研究院有限公司 | Heating control method and multi-energy complementary heating system |
| CN117490133B (en) * | 2023-12-29 | 2024-03-22 | 上海勘测设计研究院有限公司 | Heating control method and multi-energy complementary heating system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110070198A (en) | One kind is provided multiple forms of energy to complement each other building energy system and its energy storage method for optimizing configuration | |
| Guo et al. | Optimal operation of regional integrated energy system considering demand response | |
| CN105160451B (en) | A kind of micro-capacitance sensor Multiobjective Optimal Operation method containing electric vehicle | |
| CN109523052B (en) | Virtual power plant optimal scheduling method considering demand response and carbon transaction | |
| CN109510224A (en) | Photovoltaic energy storage and the united capacity configuration of distributed energy and running optimizatin method | |
| CN106127337B (en) | Unit combination method based on variable frequency air conditioner virtual unit modeling | |
| CN105790309A (en) | Method of utilizing distributed energy and temporary additional electricity price to optimize control cooperatively | |
| CN111339689B (en) | Building comprehensive energy scheduling method, system, storage medium and computer equipment | |
| CN109523065A (en) | A kind of micro- energy net Optimization Scheduling based on improvement quanta particle swarm optimization | |
| CN110110897A (en) | A kind of integrated energy system optimization method considering different storage energy operation strategies | |
| CN102708425A (en) | Coordination control system and method for electric vehicle service network based on Multi-Agent system | |
| CN108494012A (en) | A kind of meter and the electric regional complex energy resource system method for on-line optimization for turning gas technology | |
| CN106779471A (en) | A kind of multipotency interconnects alternating current-direct current mixing micro-capacitance sensor system and Optimal Configuration Method | |
| CN109872228A (en) | Meter and probabilistic flexible load polymerization quotient participate in electricity market Bidding system | |
| He et al. | A new cooperation framework with a fair clearing scheme for energy storage sharing | |
| CN109510241A (en) | The grid-connect mode Optimizing Configuration System and method of the industrial park scene combustion energy storage energy | |
| Han et al. | Economic evaluation of micro-grid system in commercial parks based on echelon utilization batteries | |
| Yu et al. | A bi-level scheduling strategy for integrated energy systems considering integrated demand response and energy storage co-optimization | |
| CN105574681A (en) | Multi-time-scale community energy local area network energy scheduling method | |
| CN110555562B (en) | Layered energy management method for comprehensive energy system in ubiquitous power Internet of things | |
| CN111882452A (en) | Marginal cost calculation method for integrated energy system participating in demand side response | |
| CN114462724B (en) | Park aggregator double-layer optimization scheduling method considering multi-energy price incentive comprehensive demand response model | |
| CN116502921A (en) | Park comprehensive energy system optimization management system and coordination scheduling method thereof | |
| CN115730747A (en) | Multi-subject benefit distribution method of comprehensive energy system and application thereof | |
| CN115912419A (en) | Heat storage-electricity storage cooperative scheduling method based on load aggregation quotient |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190730 |