CN109028275A - A kind of user side building multiple-energy-source Optimization Scheduling - Google Patents
A kind of user side building multiple-energy-source Optimization Scheduling Download PDFInfo
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- CN109028275A CN109028275A CN201810641343.4A CN201810641343A CN109028275A CN 109028275 A CN109028275 A CN 109028275A CN 201810641343 A CN201810641343 A CN 201810641343A CN 109028275 A CN109028275 A CN 109028275A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
- F24D19/1039—Arrangement or mounting of control or safety devices for water heating systems for central heating the system uses a heat pump
Abstract
The invention discloses a kind of user side building multiple-energy-source Optimization Schedulings, including air source heat pump, buffer tank and floor heating, the dispatching method includes the following steps: the building expectation room temperature building air source heat pump heating system model according to pipeline water volume flow rate between buffer tank and floor heating, setting；Building heat storage capacity model is constructed according to building heat exchange situation；Set building room temperature constraint condition；Economic load dispatching objective function is constructed according to purchase electricity price and power consumption；User side building multiple-energy-source Optimized Operation is realized according to the expectation room temperature that economic load dispatching objective function adjusts building setting.The present invention can be substantially reduced a day power purchase expense in the case where fully considering users'comfort to the system Optimized Operation that typical day carries out hour rank in winter using building energy supplying system day power purchase network minimal as objective function.
Description
Technical field
The present invention relates to a kind of user side building multiple-energy-source Optimization Schedulings, belong to energy scheduling technical field.
Background technique
With the continuous promotion that the constantly soaring and residence comfort of Chinese architecture total amount requires, building energy consumption is on sharply
Raise trend.It is arranged side by side with industrial energy consumption, traffic energy consumption at present, become one of three big " energy consumption rich anies influential family " of AND ENERGY RESOURCES CONSUMPTION IN CHINA, builds
It is extremely urgent to build energy conservation.Therefore it should put forth effort to improve specific gravity of the electric energy in the consumption of terminal multiple-energy-source, reduce terminal to greatest extent to the greatest extent
The burning and exhausting of fossil energy discharges the pressure caused by environment with pollution remission object.It is comprehensive using electric energy substitution in building side
Technology realizes cool and thermal power joint supply, provides a kind of low-carbon solution for the energy supply of building system, be it is a kind of it is more efficient,
The terminal energy sources system of environmental protection.However, the comfort tuning of building type energy resource system and the Relationship Comparison of efficiency are complicated, thus pole
The earth increases operation and the management difficulty of system.Therefore, the optimization operation for realizing user side building type energy resource system, improves system
System operational energy efficiency, is of great significance.
Existing research at present often have ignored building energy supplying systems electricity, it is hot and cold between Multiple Time Scales otherness, for
It builds that thermal storage effect considers and not perfect and unclear to the combined optimization target of multiple-energy-source joint supply building system.
Summary of the invention
It is an object of the invention to overcome deficiency in the prior art, a kind of user side building multiple-energy-source Optimized Operation is provided
Method, solve prior art user side building energy source optimization ignore building energy supplying systems electricity, it is hot and cold between Multiple Time Scales difference
The opposite sex, it is that building thermal storage effect is considered and not perfect, and to the combined optimization target of multiple-energy-source joint supply building system
Unclear technical problem.
In order to solve the above technical problems, the technical scheme adopted by the invention is that: a kind of user side building multipotency source optimization
Dispatching method, including air source heat pump, buffer tank and floor heating, the buffer tank pass through heat pump cycle water pump and air-source heat
Pump connection, the floor heating are connect by circulation pump of heat-supply network with buffer tank, which is characterized in that the method includes walking as follows
It is rapid:
It is adopted according to the building expectation room temperature building air source heat pump of pipeline water volume flow rate between buffer tank and floor heating, setting
Heating system model；
Building heat storage capacity model is constructed according to building heat exchange situation；
Set building room temperature constraint condition；
Economic load dispatching objective function is constructed according to purchase electricity price and power consumption；
User side building multipotency source optimization tune is realized according to the expectation room temperature that economic load dispatching objective function adjusts building setting
Degree.
Further, the air source heat pump heating system model of building is specific as follows:
In formula: cwFor the specific heat capacity of water；ρwFor the density of water；VrFor the volume of radiator for floor heating；Tr2It is arrived for radiator for floor heating
The reflux water temperature of buffer tank；TzFor building actual room temperature；Ts2For the supply water temperature of buffer tank to radiator for floor heating；Ts2NFor
The supply water temperature when thermal power that heating system is exported to floor heating is standard value；TzNThe thermal power exported for heating system to floor heating
Building temperature when for standard value；Tr2NFor heating system to the thermal power that floor heating exports be standard value when return water temperature；QNFor
The standard installation thermal power of every square metre of radiator for floor heating；AZFor building occupied area；q2The pipeline water between buffer tank and floor heating
Volume flow；N is the genre modulus of heating system；T is the time；Wherein, pipeline water volume flow rate q between buffer tank and floor heating2
Calculation method it is as follows:
In formula: q2maxThe maximum volume flow allowed for pipeline；TsetRoom temperature it is expected for the building of setting；dTupFor building room
The peak and building that temperature allows it is expected room temperature TsetAbsolute value of the difference；dTlowThe minimum and building allowed for building room temperature
It is expected that room temperature TsetAbsolute value of the difference.
Further, the specific method is as follows for building building heat storage capacity model:
Construct building equation of heat balance:
△ Q=ca·ρa·Vz·dTz/dt
In formula: △ Q is total heat exchange in building；caFor atmospheric density；ρaFor air specific heat capacity；VzFor building hollow gas
Product；dTz/ dt is room temperature variable quantity per unit time；
Based on building equation of heat balance, building heat storage capacity model is constructed according to building actual heat exchange situation, specifically such as
Under:
ca·ρa·Vz·dTz/ dt=Qwall+Qwindow+Qswall+Qswindow+Qvent+Qp+Qs
In formula: QwallTo pass through wall and outdoor heat transmitting power；QwindowTo pass through window and outdoor heat transmitting function
Rate；QswallThe thermal power contributed for solar radiation to opaque surface of wall；QswindowWindow is penetrated for whole solar radiations
The thermal power of contribution；QventFor ventilation loss power；QpThe thermal power contributed for the behavior of people；QsIt is heating system to entire building
The heating power of space.
Further, Qwall、Qwindow、Qswall、Qswindow、QventCalculation method difference it is as follows:
Qvent=ca·ρa·(Lal·Az·hz+Lac)·(Tz-Te)
Wherein: J is number of boundary；Uwall、UwindowThe respectively heat transfer coefficient of the boundary j wall and window；Awall,j、Awindow,j
The respectively surface area of the boundary j wall and window；αwFor exterior surface of wall absorptivity；Rse,jFor the boundary j exterior wall outer surface pair
The heat-resistance coefficient of stream and radiation；IT,j、It,jRespectively whole intensities of solar radiation of the boundary j wall and window surface receiving；
τwindowFor the transmission coefficient of glass；SC is the shaded coefficient of window；Lal、LacRespectively the leakage of unit volume air and windowing are logical
The volume flow of wind；AZ·hZFor building volume；TeFor outdoor temperature.
Further, the building room temperature constraint condition are as follows:
Tmin≤Tz≤Tmax
Wherein: TminThe case where to meet hot comfort constraint condition the acceptable minimum room temperature of servant；TmaxTo meet heat
The case where comfort level constraint condition the acceptable highest room temperature of servant；
The hot comfort constraint condition are as follows: hotness ballot value TSV ∈ [0,0.5].
Further, the economic load dispatching objective function are as follows:
In formula:Number of segment when H is dispatching cycle；PiFor the corresponding power consumption of period i, i=1,
2 ..., H；CecFor the corresponding purchase electricity price of period i；△ t is dispatching cycle.
Compared with prior art, the beneficial effects obtained by the present invention are as follows being: with building energy supplying system day power purchase network minimal
The Optimized Operation for carrying out hour rank typical day in winter to the system for objective function, in the feelings for fully considering users'comfort
Under condition, a day power purchase expense can be substantially reduced.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is air source heat pump heating system architecture diagram；
Fig. 3 is user side building actual heat exchange situation schematic diagram；
Fig. 4 is the outdoor temperature time history plot that emulation experiment is inputted；
Fig. 5 be in emulation experiment using day power purchase network minimal as objective function in the case where it is expected room temperature and actual room temperature pair
Than figure；
Fig. 6 is air source heat pump heating system power consumption curve graph in emulation experiment.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Fig. 2, air source heat pump heating system specifically includes that air source heat pump, buffer tank and flooring radiation are adopted
Warm (hereinafter referred to as floor heating), air source heat pump are connect by heat pump cycle water pump with buffer tank, and buffer tank is followed by heat supply network
Ring water pump is connect with floor heating, and wherein buffer tank has running host as a part in thermodynamic heating system
The effect of decompression and protection.
As shown in Figure 1, being the flow chart of user side building multiple-energy-source Optimization Scheduling provided by the invention, including as follows
Step:
Step 1: air is constructed according to the building expectation room temperature of pipeline water volume flow rate between buffer tank and floor heating, setting
Source thermodynamic heating system model；
Air source heat pump heating system model is specific as follows:
In formula: cwFor the specific heat capacity of water；ρwFor the density of water；VrFor the volume of radiator for floor heating；Tr2It is arrived for radiator for floor heating
The reflux water temperature of buffer tank；TzFor building actual room temperature；Ts2For the supply water temperature of buffer tank to radiator for floor heating；Ts2NFor
The supply water temperature when thermal power that heating system is exported to floor heating is standard value；TzNThe thermal power exported for heating system to floor heating
Building temperature when for standard value；Tr2NFor heating system to the thermal power that floor heating exports be standard value when return water temperature；QNFor
The standard installation thermal power of every square metre of radiator for floor heating；AZFor building occupied area；q2The pipeline water between buffer tank and floor heating
Volume flow；N be heating system genre modulus (present invention in heating end use floor heating, n value be 1.1)；T is the time.
Wherein, pipeline water volume flow rate q between buffer tank and floor heating2Calculation method it is as follows:
In formula: q2maxThe maximum volume flow allowed for pipeline；TsetRoom temperature it is expected for the building of setting；dTupFor building room
The peak and building that temperature allows it is expected room temperature TsetAbsolute value of the difference；dTlowThe minimum and building allowed for building room temperature
It is expected that room temperature TsetAbsolute value of the difference.
Wherein: the supply water temperature T of buffer tank to radiator for floor heatings2, radiator for floor heating to buffer tank reflux water temperature
Tr2Circular it is as follows:
The modeling of air source heat pump system is related to four parts: the modeling of evaporator model, the modeling of compressor model, condensation
The modeling of device model and the modeling of expansion valve model.Because air source heat pump system is more than other heating systems (such as condensation pot
Furnace, cogeneration of heat and power) it is more complicated, so needing to reduce the complexity of air source heat pump system to shorten simulation time.For this purpose,
Air source heat pump system model of the present invention ignores the dynamic process of built-in system, is provided using air source heat pump system manufacturer
Measurement data exports to calculate thermal energy；
It is empty since air source heat pump heats power and the coefficient of performance (COP) are related with outdoor temperature and supply water temperature
Air supply heat pump model is indicated with two data forms: heat pump Static output power table and performance coefficient of heat pump table.The two
There are two input quantities for table: real-time outdoor temperature and air source heat pump supply water temperature.
Power consuming portions mainly have compressor and fan in air source heat pump, during air source heat pump work, the electricity of fan
Power PventIt is set as steady state value, compressor power consumption are as follows:
Wherein, QhpsFor air source heat pump Static output power.
Heat pump cycle water pump electrical power Pcp1With circulation pump of heat-supply network electrical power Pcp2It is related with water flow in pipeline amount.
Elapsed time is needed to can be only achieved static thermal power when air source heat pump is started to work from shutdown status, this mistake
Journey is modeled as low-pass first order filter (characteristic can be indicated with differential equation of first order).Air source heat pump is to buffer tank for water temperature
Spend the differential equation are as follows:
Wherein, Qhp=cw*ρw*q1*(Ts1-Tr1) it is the practical heats power of air source heat pump, VhpFor for water volume (predominantly
Heat pump compressor volume)；Ts1, TeAnd Tr1Respectively water supply water temperature, outdoor temperature and reflux water temperature, q1For water in water supply line
Volume flow.
During air source heat pump works, the water flow of pipeline is q between air source heat pump and buffer tank1:
Wherein, q1min, q1maxRespectively pipeline minimum, maximum flow of water amount；Tf1setFor supply water temperature setting value；dTf1max,
dTf1minThe respectively peak and minimum and T of supply water temperature permissionf1setAbsolute value of the difference.
Mainly there is three parts heat exchange in buffer tank:
1) with the heat exchange of environment；
2) heat between neighbouring heat-carrying agent layer (i.e. water) is transmitted；
3) heat exchange as caused by the flowing of inlet and outlet water.
Every layer of water is due to the heat exchange by buffer tank insulating layer and external environment progress:
Wherein,For heat power lost, qlossrateFor the thermal conductivity of water tank insulating layer, ntFor the Water in Water Tanks of modeling
The number of plies of layering, TiFor this layer of water temperature.
Every layer of water and upper water and whose heat exchange of lower layer are respectively as shown in formula (7) and (8):
Wherein, Ti+1,Ti-1Respectively the upper and lower water temperature；K is heat transfer coefficient, and A is water tank cross section；ViFor this layer of water
Volume.
After water enters from the inlet buffer tank and outflow buffer tank, caused heat exchange is respectively such as formula (9) and (10)
It is shown:
Vi·dTi=∫ q1dt·(Ts1-Ti)+∫q2dt·(Tr2-Ti) (9)
Vi·dTi=∫ q1dt·(Tr1-Ti)+∫q2dt·(Ts2-Ti) (10)
Wherein, q1And q2Water respectively between air source heat pump and buffer tank and between buffer tank and ground heating pipe
Volume flow two；Ts2For the supply water temperature of buffer tank to radiator, Tr2For the reflux water temperature of radiator to buffer tank.
By medium forced-convection heat transfer, the temperature change of each water layer is calculated using respective volume:
Wherein, △ TiChange for this layer of water temperature,For one layer of water volume below the layer,For one layer of water above the layer
Volume.
Buffer tank is set as steady state value to ground heating pipe supply water temperature.But when buffer tank average temperature is lower than the setting
When value, supply water temperature is buffer tank average temperature.
Step 2: building heat storage capacity model is constructed according to building heat exchange situation；Construct building heat storage capacity model
The specific method is as follows:
Construct building equation of heat balance:
△ Q=ca·ρa·Vz·dTz/dt (12)
In formula: △ Q is total heat exchange in building；caFor atmospheric density；ρaFor air specific heat capacity；VzFor building hollow gas
Product；dTz/ dt is room temperature variable quantity per unit time；
As shown in figure 3, being based on building equation of heat balance, building heat storage capacity mould is constructed according to building actual heat exchange situation
Type, specific as follows:
ca·ρa·Vz·dTz/ dt=Qwall+Qwindow+Qswall+Qswindow+Qvent+Qp+Qs (13)
In formula: QwallTo pass through wall and outdoor heat transmitting power；QwindowTo pass through window and outdoor heat transmitting function
Rate；QswallThe thermal power contributed for solar radiation to opaque surface of wall；QswindowWindow is penetrated for whole solar radiations
The thermal power of contribution；QventFor ventilation loss power；QpThe thermal power contributed for the behavior of people；QsIt is heating system to entire building
The heating power of space.
Qwall、Qwindow、Qswall、Qswindow、QventCalculation method difference it is as follows:
Qvent=ca·ρa·(Lal·Az·hz+Lac)·(Tz-Te) (18)
Wherein: J is number of boundary；Uwall、UwindowThe respectively heat transfer coefficient of the boundary j wall and window；AWall, j、Awindow,j
The respectively surface area of the boundary j wall and window；αwFor exterior surface of wall absorptivity；Rse,jFor the boundary j exterior wall outer surface pair
The heat-resistance coefficient of stream and radiation；IT,j、It,jRespectively whole intensities of solar radiation of the boundary j wall and window surface receiving；
τwindowFor the transmission coefficient of glass；SC is the shaded coefficient of window；Lal、LacRespectively the leakage of unit volume air and windowing are logical
The volume flow of wind；AZ·hZFor building volume；TeFor outdoor temperature.
Step 3: setting building room temperature constraint condition；
Building room temperature constraint condition are as follows:
Tmin≤Tz≤Tmax (19)
Wherein: TminThe case where to meet hot comfort constraint condition the acceptable minimum room temperature of servant；TmaxTo meet heat
The case where comfort level constraint condition the acceptable highest room temperature of servant；
The hot comfort constraint condition are as follows: hotness ballot value TSV ∈ [0,0.5].
Step 4: economic load dispatching objective function is constructed according to purchase electricity price and power consumption；
The economic load dispatching objective function are as follows:
In formula:Number of segment when H is dispatching cycle；PiFor the corresponding power consumption of period i, i=1,
2 ..., H；CecFor the corresponding purchase electricity price of period i；△ t is dispatching cycle.
Step 5: user side building multiple-energy-source is realized according to the expectation room temperature that economic load dispatching objective function adjusts building setting
Optimized Operation.
Emulation experiment:
Influence for analysis different target function to Optimized Operation strategy, by adjusting the expectation room temperature of building setting, with
Building energy supplying system day power purchase network minimal is the optimization tune that objective function carries out hour rank typical day to the system in winter
Degree.Emulation experiment condition: four kinds of scenes of setting are distinguished as shown in table 1；Tou power price is as shown in table 2；Air source heat pump heating system
Partial parameters of uniting are as shown in table 3；The outdoor temperature of emulation experiment input is as shown in Figure 4；
Table 1
Table 2
Table 3
The efficiency and day power purchase expense of building energy supplying system be such as under the four kinds of different scenes finally obtained according to emulation experiment
Shown in the following table 4:
Table 4
From the available following conclusion of the optimum results of table 4:
1) when not optimizing (i.e. scene I, II and III), whole day expectation room temperature it is higher, day power purchase expense it is higher.
When the period of research long (24 hours), the decoupling function of buffer tank can be ignored.So, since expectation room temperature is got over
Height, building heat demand is bigger, then power consumption is more, day power purchase expense it is higher；
2) after Optimized Operation being added, scene IV and scene I, II are compared with III, and the decline of day power purchase expense is obvious.
Building it is expected that room temperature optimum results are as shown in Figure 5.From figure 5 it can be seen that building actual room temperature not fully with
It is expected that room temperature be fitted, during the expectation room temperature of setting gradually rises, due to room temperature change in time scale it is slow, because
This cannot reach desired room temperature；During the expectation room temperature of setting gradually decreases, since building heat accumulation characteristic is good,
The expectation room temperature of setting cannot be dropped to rapidly.
Building actual room temperature situation of change and air source heat pump heating system power consumption condition are as shown in Figure 6.Obvious two kinds excellent
It is almost the same to change result.Show using day power purchase network minimal as the optimum results of objective function: air source heat pump is in valley electricity price
Stage is in the open state, other stages be not turned on or as far as possible the opening time it is short in the case where day power purchase expense it is obviously relatively low.
Due to the good heat accumulation characteristic of building, when noon sunshine abundance, room temperature can be increased, in this way under the constraint for meeting comfort temperature,
A day power purchase expense is saved simultaneously.
The present invention on the basis of considering system emulation step-length, system complexity, is established based on air source heat pump first
Electric heating building energy supplying system model；Secondly, construction is optimal for objective function with economic index；Finally, building canonical system
Example carries out associative simulation to the system, by adjusting the expectation room temperature of building setting, using building day power purchase network minimal as mesh
Scalar functions carry out the Optimized Operation of hour rank typical day to the system in winter, while by optimum results and not having objective function
The case where compare.The result shows that after being added using day power purchase network minimal as the Optimized Operation of objective function, building energy supply
The day power purchase expense decline of system is obvious.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of user side building multiple-energy-source Optimization Scheduling, including air source heat pump, buffer tank and floor heating, the buffering
Water tank is connect by heat pump cycle water pump with air source heat pump, and the floor heating is connect by circulation pump of heat-supply network with buffer tank,
It is characterized in that, described method includes following steps:
Air source heat pump heating system is constructed according to the building expectation room temperature of pipeline water volume flow rate between buffer tank and floor heating, setting
System model；
Building heat storage capacity model is constructed according to building heat exchange situation；
Set building room temperature constraint condition；
Economic load dispatching objective function is constructed according to purchase electricity price and power consumption；
User side building multiple-energy-source Optimized Operation is realized according to the expectation room temperature that economic load dispatching objective function adjusts building setting.
2. user side building multiple-energy-source Optimization Scheduling according to claim 1, which is characterized in that the air-source of building
Thermodynamic heating system model is specific as follows:
In formula: cwFor the specific heat capacity of water；ρwFor the density of water；VrFor the volume of radiator for floor heating；Tr2For radiator for floor heating to buffering
The reflux water temperature of water tank；TzFor building actual room temperature；Ts2For the supply water temperature of buffer tank to radiator for floor heating；Ts2NFor heating
The supply water temperature when thermal power that system is exported to floor heating is standard value；TzNFor heating system to the thermal power that floor heating exports be mark
Building temperature when quasi- value；Tr2NFor heating system to the thermal power that floor heating exports be standard value when return water temperature；QNFor floor heating
The standard installation thermal power of every square metre of radiator；AZFor building occupied area；q2The pipeline water volume between buffer tank and floor heating
Flow；N is the genre modulus of heating system；T is the time；
Wherein, pipeline water volume flow rate q between buffer tank and floor heating2Calculation method it is as follows:
In formula: q2maxThe maximum volume flow allowed for pipeline；TsetRoom temperature it is expected for the building of setting；dTupPermit for building room temperature
Perhaps peak and building it is expected room temperature TsetAbsolute value of the difference；dTlowThe minimum and building allowed for building room temperature it is expected
Room temperature TsetAbsolute value of the difference.
3. user side building multiple-energy-source Optimization Scheduling according to claim 2, which is characterized in that building building heat accumulation
The specific method is as follows for capability model:
Construct building equation of heat balance:
△ Q=ca·ρa·Vz·dTz/dt
In formula: △ Q is total heat exchange in building；caFor atmospheric density；ρaFor air specific heat capacity；VzFor building hollow gas product；
dTz/ dt is room temperature variable quantity per unit time；
Based on building equation of heat balance, building heat storage capacity model is constructed according to building actual heat exchange situation, specific as follows:
ca·ρa·Vz·dTz/ dt=Qwall+Qwindow+Qswall+Qswindow+Qvent+Qp+Qs
In formula: QwallTo pass through wall and outdoor heat transmitting power；QwindowTo pass through window and outdoor heat transmitting power；
QswallThe thermal power contributed for solar radiation to opaque surface of wall；QswindowIt is contributed for whole solar radiations through window
Thermal power；QventFor ventilation loss power；QpThe thermal power contributed for the behavior of people；QsIt is heating system to entire building
Heating power.
4. user side building multiple-energy-source Optimization Scheduling according to claim 3, which is characterized in that Qwall、Qwindow、
Qswall、Qswindow、QventCalculation method difference it is as follows:
Qvent=ca·ρa·(Lal·Az·hz+Lac)·(Tz-Te)
Wherein: J is number of boundary；Uwall、UwindowThe respectively heat transfer coefficient of the boundary j wall and window；Awall,j、Awindow,jRespectively
For the surface area of the boundary j wall and window；αwFor exterior surface of wall absorptivity；Rse,jFor the exterior wall outer surface convection current of the boundary j and
The heat-resistance coefficient of radiation；IT,j、It,jRespectively whole intensities of solar radiation of the boundary j wall and window surface receiving；τwindowFor
The transmission coefficient of glass；SC is the shaded coefficient of window；Lal、LacThe respectively body of the leakage of unit volume air and windowing ventilation
Product flow；AZ·hZFor building volume；TeFor outdoor temperature.
5. user side building multiple-energy-source Optimization Scheduling according to claim 3, which is characterized in that the building room temperature
Constraint condition are as follows:
Tmin≤Tz≤Tmax
Wherein: TminThe case where to meet hot comfort constraint condition the acceptable minimum room temperature of servant；TmaxTo meet thermal comfort
The case where the spending constraint condition acceptable highest room temperature of servant；
The hot comfort constraint condition are as follows: hotness ballot value TSV ∈ [0,0.5].
6. user side building multiple-energy-source Optimization Scheduling according to claim 1, which is characterized in that the economic load dispatching
Objective function are as follows:
In formula:Number of segment when H is dispatching cycle；PiFor the corresponding power consumption of period i, i=1,2 ..., H；
CecFor the corresponding purchase electricity price of period i；△ t is dispatching cycle.
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| CN110908283A (en) * | 2019-12-05 | 2020-03-24 | 国网冀北电力有限公司承德供电公司 | Electric heating equipment control method, device and system |
| CN111144610A (en) * | 2019-11-22 | 2020-05-12 | 国网四川省电力公司电力科学研究院 | Urban building energy hub optimization method and system considering human body temperature comfort |
| CN113673785A (en) * | 2021-09-08 | 2021-11-19 | 山东佐耀科技有限公司 | Air source heat pump load optimization operation method and system based on peak-valley electricity price |
| CN114023002A (en) * | 2021-11-09 | 2022-02-08 | 烟台清泉实业有限公司 | Household heating charging valve control system and method |
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| CN113673785A (en) * | 2021-09-08 | 2021-11-19 | 山东佐耀科技有限公司 | Air source heat pump load optimization operation method and system based on peak-valley electricity price |
| CN113673785B (en) * | 2021-09-08 | 2022-04-19 | 山东佐耀科技有限公司 | Air source heat pump load optimization operation method and system based on peak-valley electricity price |
| CN114023002A (en) * | 2021-11-09 | 2022-02-08 | 烟台清泉实业有限公司 | Household heating charging valve control system and method |
| CN114023002B (en) * | 2021-11-09 | 2023-01-10 | 烟台清泉实业有限公司 | Household heating charging valve control system and method |
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