CN106849132A - Method and system are stabilized in micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump - Google Patents
Method and system are stabilized in micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump Download PDFInfo
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- CN106849132A CN106849132A CN201710216179.8A CN201710216179A CN106849132A CN 106849132 A CN106849132 A CN 106849132A CN 201710216179 A CN201710216179 A CN 201710216179A CN 106849132 A CN106849132 A CN 106849132A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B49/00—Arrangement or mounting of control or safety devices
- F25B49/02—Arrangement or mounting of control or safety devices for compression type machines, plants or systems
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
Abstract
Method and system are stabilized in a kind of micro-capacitance sensor dominant eigenvalues based on the team control heat pump fluctuation of electric heating associative form micro-capacitance sensor technical field, determined to need the electric heating pump sequence number being turned on and off interval according to the smooth target of micro-capacitance sensor dominant eigenvalues, the relative importance value for being then based on the users'comfort electric heating pump state switching interval to two sequence numbers is ranked up, afterwards to the electric heating pump of on off state switching of having sorted, calculate the duration of each electric heating pump state switching, if the duration switches duration lower limit less than electric heating pump state, then keep the original running status of the electric heating pump, on off state switching otherwise is carried out to the electric heating pump, stabilize Partial Power fluctuation；Finally remaining power swing is stabilized, is stabilized being exerted oneself by battery by the radio-frequency component after first-order filtering, low-frequency component carries out output distribution in electric heating pump and battery and stabilized；The present invention realizes the suppression of regenerative resource power swing on the premise of ensureing that user's room temperature is in zone of reasonableness.
Description
Technical field
It is specifically a kind of based on team control heat pump the present invention relates to a kind of technology in electric heating associative form micro-capacitance sensor field
Method and system are stabilized in micro-capacitance sensor dominant eigenvalues fluctuation.
Background technology
With the fast development of energy internet, unified plan is carried out with the various energy resources such as hot and cold, electric, gas mutual with polynary
Dynamic, formation is current research focus with multipotency collaboration characteristic synthetic energy resource system.However, heat supply network, power network and combustion
The characteristics of current generally existing independent design of the energy supply systems such as gas net, planning and each self-operating.
Current research using electrothermal conversioning element as power network and heat supply network energy exchange interface, in microgrid interconnection ripple
The technological layer of dynamic Power Control achieves certain breakthrough, but the method for operation of electrothermal conversioning element is more single, not yet realizes
Electricity, hot two kinds of being uniformly coordinated for energy couple with depth in microgrid.
The content of the invention
The present invention is directed to deficiencies of the prior art, it is proposed that a kind of micro-capacitance sensor interconnection based on team control heat pump
Power swing stabilizes method and system, with electric heating switch technology as means, by electric-thermal energy Collaborative Control, realizes micro-capacitance sensor
Dominant eigenvalues are smoothed, while lifting the complementary economy and total energy approach efficiency of electric energy and heat energy in micro-capacitance sensor.
The present invention is achieved by the following technical solutions：
Method is stabilized the present invention relates to a kind of micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump, is joined according to micro-capacitance sensor
Winding thread power smooth target, electric heating pump sequence number interval and the needs for first determining to need to open by electric heating pump clustered control algorithm
The electric heating pump sequence number of closing is interval, and the relative importance value for being then based on the users'comfort electric heating pump state switching interval to two sequence numbers enters
Row sequence, afterwards to the electric heating pump of on off state switching of having sorted, calculates the duration of each electric heating pump state switching, if the duration is small
Switch duration lower limit in electric heating pump state, then keep the original running status of the electric heating pump, switch shape otherwise is carried out to the electric heating pump
State switches, and stabilizes Partial Power fluctuation；Finally remaining power swing is stabilized, by by the high frequency after first-order filtering into
Divide to be exerted oneself by battery and stabilize, low-frequency component carries out output distribution in electric heating pump and battery and stabilized.
The smooth target P of described micro-capacitance sensor dominant eigenvaluesTline(t)-PTline0(t)=PESS(t)+ΔPHP(t), wherein：
PTline(t)=PEL(t)+PHP(t)-PWind(t)-PPV(t), PTlineT () represents t interconnection actual power, it is stipulated that flow into micro-
Grid power is negative for just；PTline0T () represents t interconnection target power, PESST () goes out for t battery
Power, Δ PHPT () is exerted oneself for t electric heating pump, PELT () represents the electric demand power of t micro-capacitance sensor customer charge, PHP(t) table
Show t electric heating pump group's consumption power, PWindT () represents t wind power generation output, PPVT () represents that t photovoltaic generation goes out
Power.
Described electric heating pump state switching priority ordered, comprises the following steps：
S101, work as PTline(t)-PTline0During (t) ＞ 0, determine that electric heating pump is switched to the sequence number of opening by closed mode
Pointer k1=min { [(PTline(t)-PTline0(t))/PHPN],NHP, 1(t) }, obtain needing the sequence number for opening electric heating pump interval；When
PTline(t)-PTline0During (t) ＜ 0, determine that electric heating pump is switched to the sequence number pointer k of closed mode by opening2=min
{[(PTline0(t)-PTline1(t))/PHPN],NHP, 2(t) }, obtain needing the sequence number for closing electric heating pump interval；
S102, use CiI-th corresponding users'comfort of electric heating pump under opening is represented, C is usedjRepresent the
J platforms be closed under the corresponding users'comfort of electric heating pump；To the electricity in needing in unlatching electric heating pump sequence number interval
Heat pump, according to CjT () numerical values recited carries out the descending arrangement of sequence number j, obtain sequence j=1,2 ..., NHP, 2(t), wherein electric heating
Pump switches to the relative importance value of opening to increase with sequence number and reduces successively by closed mode；To in need close electric heating pump sequence number
Electric heating pump in interval, according to CiT () numerical values recited carries out the ascending order arrangement of sequence number i, obtain sequence i=1,2 ..., NHP, 1
T (), wherein electric heating pump switch to the relative importance value of closed mode to increase with sequence number and reduce successively by opening.
It refers to the remaining work(of interconnection under pair frequency domain condition corresponding with time domain condition that described dump power fluctuation is stabilized
Rate fluctuation PHESSS () carries out first-order filtering, its high frequency components PHFS () is exerted oneself by battery and stabilized, low-frequency component PLFS () is by electricity
Heat pump and battery muck in are stabilized：
Wherein：λ0Time constant filter is represented, parameter selection rules are according to electric heating pump and the power signal response speed of battery；S tables
Give instructions in reply frequency domain parameter；
Described low-frequency component PLFS () is under time domain parameter t corresponding with multifrequency field parameter s to electric heating pump and battery
Exert oneself and be allocated, comprise the following steps：
S201, based on t-1 moment storage battery charge state and battery output distribution, build t battery and exert oneself Quan Han
Number WESS(·)：Storage battery charge stateWESS(t)=a1PHESS
(t)·SOCESS(t)+a2PHESS(t)+a3SOCESS(t)+a4, wherein：EESSRepresent accumulator capacity, a1~a4For weight function is often
Number；
Based on t-1 moment electric heating pump output distributions, build t electric heating pump and exert oneself weight function WHP(·)：Electric heating pump is exerted oneself
Distribution Δ PHP(t-1)=PHP(t-1)-NHP(t-1)·PHPN[τON/(τON+τOFF)], electric heating pump is exerted oneself shift stateWHP(t)=a5[PLF(t)+a6]·[SHP(t)+a7], wherein：a5~a7It is weight function constant coefficient；
S202, dynamically adjustment electric heating pump and battery are exerted oneself point to open the situation of quantity according to electric heating pump in electric heating pump group
Match somebody with somebody：
T battery is exerted oneself PESS(t)=PHESS(t)-ΔPHPT (), is charged as just, it is negative to discharge；
T electric heating pump is exerted oneselfWherein：ξ0Represent and store
The equivalent capacity ratio of battery and electric heating pump, NHP_maxRepresent corresponding to the electric heating pump under micro-capacitance sensor user's maximum heat need state most
Big operation quantity.
Described users'comfortRepresent that the corresponding user of electric heating pump of t serial number i is relaxed
Appropriateness, Ci(t) ∈ [- 0.5,0.5], wherein：
THP,iRepresent i-th
The room temperature of individual user by number be i electric heating pump independent heat supply, ToutsideRepresent outdoor environment temperature；xHP,iRepresent i-th electric heating
The on off state of pump, 0 to close, and 1 is unlatching；C represents electric heating pump equivalent capacitance, and R represents electric heating pump substitutional resistance, and Q represents electricity
Heat pump equivalence thermal ratio, Δ t represents time interval；Tmax、TminUser's temperature upper and lower limit, T are represented respectivelysetRepresent that user expects
Target temperature.
DescribedNHP(t)=NHP, 1 (t)+NHP,2(t), wherein：NHPT () represents t
The electric heating pump quantity that can be run in moment electric heating pump group, NHP, 1T () represents that t is in the electric heating pump quantity of opening, NHP,2
T () represents the electric heating pump quantity that t is closed, PTL(t)=COPHP·PHP(t), PTLT () represents t heat pump group
Thermal power, COPHPElectric heating pump energy efficiency coefficient is represented, equal to the ratio between electric heating pump heat production power and input electric power；Separate unit heat pump
Running average power is approximately PHPNτON/(τON+τOFF), PHPNRepresent the nominal operation power of separate unit heat pump, τON、τOFFDifference table
Show that heat pump is in unlatching, the time span of closed mode, [] represents bracket function；NHP_maxIt is expressed as being used corresponding to micro-capacitance sensor
The maximum operation quantity of electric heating pump under the maximum heat need state of family.
Described t is current time, and the t-1 moment is last moment, is analogized with secondary.
The present invention relates to a kind of system for realizing the above method, including：Control module, electricity generation module, on off state sensing
Device, temperature sensor and power sensor, wherein：On off state sensor is connected with electric heating pump, temperature sensor and user side
It is connected, power sensor is connected with electric heating pump and battery respectively, electricity generation module is connected and output power information with control module,
On off state sensor is connected with control module and exports electric heating pump switching-state information, and temperature sensor is connected with control module
And exporting user indoor temperature information, power sensor is connected with control module and exports the letter of exerting oneself of electric heating pump and battery
Breath, control module is connected and output power control information with electric heating pump, battery respectively.
Described control module includes firstorder filter.
Described electricity generation module includes：Wind-driven generator and/or photovoltaic cell.
Technique effect
Compared with prior art, the present invention carries out electric heating pump on off state based on electric heating pump operation with the relation of user's room temperature
Conversion, complete electric heating conversion, so as to stabilize the fluctuating power of part in micro-capacitance sensor interconnection；And then by considering electricity
The state-of-charge of the on off state, electric heating pump real-time running state and battery of heat pump group, to fluctuating power in electric heating pump-storage
Rational distribution is carried out between battery and stabilizes remaining fluctuating power to cooperate with；The present invention is ensureing user's room temperature in zone of reasonableness
On the premise of, realize the suppression of regenerative resource power swing.
Brief description of the drawings
Fig. 1 is present system structural representation；
Fig. 2 is the inventive method flow chart；
Fig. 3 is electric heating pump clustered control algorithm flow chart in the present invention；
Fig. 4 is electric heating pump operation curve figure in the present invention；
Fig. 5 in the present invention battery exert oneself weight function；
Fig. 6 in the present invention electric heating pump exert oneself weight function.
Specific embodiment
Embodiments of the invention are elaborated below, the present embodiment is carried out under premised on technical solution of the present invention
Implement, give detailed implementation method and specific operating process, but protection scope of the present invention is not limited to following implementations
Example.
Embodiment 1
As shown in Figure 2, Figure 3 and Figure 4, the present embodiment is related to a kind of micro-capacitance sensor dominant eigenvalues based on team control heat pump to fluctuate
Method is stabilized, is comprised the following steps：
S1, according to the smooth target P of micro-capacitance sensor dominant eigenvaluesTline(t)-PTline0(t)=PESS(t)+ΔPHPT (), passes through
Electric heating pump clustered control algorithm switches electric heating pump on off state to that can be ranked up with the relative importance value of electric heating pump in electric heating pump group,
Stabilize Partial Power fluctuation；
S101, work as PTline(t)-PTline0During (t) ＞ 0, determine that electric heating pump is switched to the sequence number of opening by closed mode
Pointer k1=min { [(PTline(t)-PTline0(t))/PHPN],NHP, 1(t) }, obtain needing the sequence number for opening electric heating pump interval；When
PTline(t)-PTline0During (t) ＜ 0, determine that electric heating pump is switched to the sequence number pointer k of closed mode by opening2=min
{[(PTline0(t)-PTline1(t))/PHPN],NHP, 2(t) }, obtain needing the sequence number for closing electric heating pump interval；
S102, in needing to open the electric heating pump in electric heating pump sequence number interval, according to CjT () numerical values recited carries out sequence number j
Descending arrangement, obtain sequence j=1,2 ..., NHP, 2T (), wherein electric heating pump switch to the excellent of opening by closed mode
First spend reduces successively with sequence number increase；To the electric heating pump in needing to close in electric heating pump sequence number interval, according to CiT () numerical value is big
The small ascending order arrangement for carrying out sequence number i, obtains sequence i=1,2 ..., NHP, 1T (), wherein electric heating pump switch to pass by opening
The relative importance value of closed state is reduced successively with sequence number increase；
S103, calculate the duration τ of the electric heating pump state switching of serial number iHP,iIf, τHP,iSwitch duration less than electric heating pump state
Lower limit τINT, then the original running status of the electric heating pump is kept, the otherwise electric heating pump to serial number i carries out on off state switching, stabilizes
Partial Power fluctuates；
S2, after switching through on off state, fluctuate P to interconnection dump powerHESSS () carries out first-order filtering, its medium-high frequency into
Divide PHFS () is exerted oneself by battery and stabilized, low-frequency component PLFS () is stabilized by electric heating pump and battery muck in：
To low-frequency component PLFS () is allocated under time domain parameter t to electric heating pump and exerting oneself for battery, including following step
Suddenly：
S201, based on t-1 moment storage battery charge state and battery output distribution, build t battery and exert oneself Quan Han
Number WESS(·)：Storage battery charge stateWESS(t)=a1PHESS
(t)·SOCESS(t)+a2PHESS(t)+a3SOCESS(t)+a4；As storage battery charge state SOCESSMake storage during close to maximum size
Battery preferential discharge simultaneously reduces charging, works as SOCESSDuring close to lower bound of capacity, battery is preferentially charged and reduce electric discharge；Electric power storage
Exert oneself weight function W in pondESSThe three-dimensional coordinate figure of () is as shown in Figure 5；
Based on t-1 moment electric heating pump output distributions, build t electric heating pump and exert oneself weight function WHP(·)：ΔPHP(t-1)
=PHP(t-1)-NHP(t-1)·PHPN[τON/(τON+τOFF)], electric heating pump is exerted oneself shift stateWHP
(t)=a5[PLF(t)+a6]·[SHP(t)+a7]；When electric heating pump is exerted oneself shift state SHPMake Δ P when the upper limit is allowedHPLosing side
To increase, work as SHPMake Δ P when lower limit is allowedHPPositive direction increases；Electric heating pump is exerted oneself weight function WHPThe three-dimensional coordinate figure of ()
As shown in Figure 6；
S202, dynamically adjustment electric heating pump and battery are exerted oneself point to open the situation of quantity according to electric heating pump in electric heating pump group
Match somebody with somebody：
T battery is exerted oneself PESS(t)=PHESS(t)-ΔPHP(t)；
T electric heating pump is exerted oneselfAdditionally, by control
The working medium flow of electric heating pump choke valve and the real-time rotating speed of compressor, electric heating pump real time execution electrical power is with working medium flow and compressor
Rotating speed accordingly changes, and now electric heating pump actual power can further stabilize micro-capacitance sensor connection with the power deviation amount of nominal operation power
The residual fluctuations component of winding thread.
DescribedWherein：
DescribedNHP(t)=NHP, 1(t)+NHP,2(t), wherein：PTL(t)=
COPHP·PHP(t)。
As shown in figure 1, the present embodiment is related to realize the power swing stabilizing system of the above method, including：Control module, hair
Electric module, on off state sensor, temperature sensor and power sensor, wherein：On off state sensor is connected with electric heating pump,
Temperature sensor is connected with user side, and power sensor is connected with electric heating pump and battery respectively, electricity generation module and control module
It is connected and output power information, on off state sensor is connected with control module and exports electric heating pump switching-state information, room temperature
Sensor is connected with control module and exports user indoor temperature information, and power sensor is connected with control module and exports electric heating
Pump and battery go out force information, and control module is connected and output power control information with electric heating pump, battery respectively.
Described control module includes firstorder filter.
Described electricity generation module includes：The renewable energy device such as wind-driven generator and/or photovoltaic cell.
Claims (10)
1. method is stabilized in a kind of micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump, it is characterised in that joined according to micro-capacitance sensor
Winding thread power smooth target, electric heating pump sequence number interval and the needs for first determining to need to open by electric heating pump clustered control algorithm
The electric heating pump sequence number of closing is interval, and the relative importance value for being then based on the users'comfort electric heating pump state switching interval to two sequence numbers enters
Row sequence, afterwards to the electric heating pump of on off state switching of having sorted, calculates the duration of each electric heating pump state switching, if the duration is small
Switch duration lower limit in electric heating pump state, then keep the original running status of the electric heating pump, switch shape otherwise is carried out to the electric heating pump
State switches, and stabilizes Partial Power fluctuation；Finally remaining power swing is stabilized, by by the high frequency after first-order filtering into
Divide to be exerted oneself by battery and stabilize, low-frequency component carries out output distribution in electric heating pump and battery and stabilized.
2. method is stabilized in the micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump according to claim 1, it is characterized in that,
The smooth target P of described micro-capacitance sensor dominant eigenvaluesTline(t)-PTline0(t)=PESS(t)+ΔPHP(t), wherein：PTline(t)
=PEL(t)+PHP(t)-PWind(t)-PPV(t), PTlineT () represents t interconnection actual power, it is stipulated that flow into micro-capacitance sensor work(
Rate is negative for just；PTline0T () represents t interconnection target power, PESST () is exerted oneself for t battery, Δ PHP
T () is exerted oneself for t electric heating pump, PELT () represents the electric demand power of t micro-capacitance sensor customer charge, PHPT () represents t
Electric heating pump group's consumption power, PWindT () represents t wind power generation output, PPVT () represents that t photovoltaic generation is exerted oneself.
3. method is stabilized in the micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump according to claim 2, it is characterized in that,
Described electric heating pump state switching priority ordered, comprises the following steps：
S101, work as PTline(t)-PTline0During (t) ＞ 0, determine that electric heating pump is switched to the sequence number pointer of opening by closed mode
k1=min { [(PTline(t)-PTline0(t))/PHPN],NHP, 1(t) }, obtain needing the sequence number for opening electric heating pump interval；Work as PTline
(t)-PTline0During (t) ＜ 0, determine that electric heating pump is switched to the sequence number pointer k of closed mode by opening2=min { [(PTline0
(t)-PTline1(t))/PHPN],NHP, 2(t) }, obtain needing the sequence number for closing electric heating pump interval；
S102, in needing to open the electric heating pump in electric heating pump sequence number interval, according to CjT () numerical values recited carries out the drop of sequence number j
Sequence is arranged, and obtains sequence j=1,2 ..., NHP, 2T (), wherein electric heating pump are switched to the relative importance value of opening by closed mode
Reduced successively with sequence number increase；To the electric heating pump in needing to close in electric heating pump sequence number interval, according to CiT () numerical values recited is entered
The ascending order arrangement of row sequence number i, obtains sequence i=1,2 ..., NHP, 1T (), wherein electric heating pump switch to closing shape by opening
The relative importance value of state is reduced successively with sequence number increase.
4. method is stabilized in the micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump according to claim 1, it is characterized in that,
It refers to that interconnection dump power under pair frequency domain condition corresponding with time domain condition fluctuates that described dump power fluctuation is stabilized
PHESSS () carries out first-order filtering, its high frequency components PHFS () is exerted oneself by battery and stabilized, low-frequency component PLF(s) by electric heating pump and
Battery muck in is stabilized：Wherein：s
Represent multifrequency field parameter, λ0Represent time constant filter.
5. method is stabilized in the micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump according to claim 4, it is characterized in that,
Described low-frequency component PLFS () is carried out under time domain parameter t corresponding with multifrequency field parameter s to electric heating pump and exerting oneself for battery
Distribution, comprises the following steps：
S201, based on t-1 moment storage battery charge state and battery output distribution, build t battery and exert oneself weight function
WESS(·)：Storage battery charge stateWESS(t)=a1PHESS(t)·
SOCESS(t)+a2PHESS(t)+a3SOCESS(t)+a4, wherein：EESSRepresent accumulator capacity, a1~a4It is weight function constant coefficient；
Based on t-1 moment electric heating pump output distributions, build t electric heating pump and exert oneself weight function WHP(·)：Electric heating pump output distribution
ΔPHP(t-1)=PHP(t-1)-NHP(t-1)·PHPN[τON/(τON+τOFF)], electric heating pump is exerted oneself shift stateWHP(t)=a5[PLF(t)+a6]·[SHP(t)+a7], wherein：a5~a7It is weight function constant coefficient；
S202, the situation dynamic adjustment electric heating pump of quantity and the output distribution of battery are opened according to electric heating pump in electric heating pump group：
T battery is exerted oneself PESS(t)=PHESS(t)-ΔPHPT (), is charged as just, it is negative to discharge；
T electric heating pump is exerted oneselfWherein：ξ0Represent battery
With the equivalent capacity ratio of electric heating pump.
6. method is stabilized in the micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump according to claim 3, it is characterized in that,
The described corresponding users'comfort of i-th electric heating pumpCi(t) ∈ [- 0.5,0.5], wherein：THP,iRepresent i-th user
Room temperature by number be i electric heating pump independent heat supply, ToutsideRepresent outdoor environment temperature；xHP,iRepresent opening for i-th electric heating pump
Off status, 0 to close, and 1 is unlatching；C represents electric heating pump equivalent capacitance, and R represents electric heating pump substitutional resistance, and Q represents electric heating pump etc.
Value thermal ratio, Δ t represents time interval；Tmax、TminUser's temperature upper and lower limit, T are represented respectivelysetRepresent the desired target of user
Temperature.
7. method is stabilized in the micro-capacitance sensor dominant eigenvalues fluctuation based on team control heat pump according to claim 5, it is characterized in that,
DescribedNHP(t)=NHP, 1(t)+NHP,2(t), wherein：NHPT () represents t electric heating pump
The electric heating pump quantity that can be run in group, NHP, 1T () represents that t is in the quantity of opening electric heating pump, NHP,2When () represents t t
Quarter is closed the quantity of electric heating pump, PTL(t)=COPHP·PHP(t), PHPT () represents electric heating pump group's consumption power,
COPHPElectric heating pump energy efficiency coefficient is represented, equal to the ratio between electric heating pump heat production power and input electric power；The average operation of separate unit heat pump
Power is approximately PHPNτON/(τON+τOFF), PHPNRepresent the nominal operation power of separate unit heat pump, τON、τOFFRepresent at heat pump respectively
In unlatching, the time span of closed mode, [] represents bracket function；NHP_maxRepresent needs corresponding to micro-capacitance sensor user maximum heat
Seek the maximum operation quantity of the electric heating pump under state.
8. a kind of system for realizing any of the above-described claim methods described, it is characterised in that including：Control module, generating mould
Block, on off state sensor, temperature sensor and power sensor, wherein：On off state sensor is connected with electric heating pump, room temperature
Sensor is connected with user side, and power sensor is connected with electric heating pump and battery respectively, and electricity generation module is connected with control module
And output power information, on off state sensor is connected with control module and exports electric heating pump switching-state information, room temperature sensing
Device is connected with control module and exports user indoor temperature information, power sensor be connected with control module and export electric heating pump and
Battery goes out force information, and control module is connected and output power control information with electric heating pump, battery respectively.
9. system according to claim 8, it is characterized in that, described control module includes firstorder filter.
10. system according to claim 8, it is characterized in that, described electricity generation module includes：Wind-driven generator and/or light
Volt battery.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107887934A (en) * | 2017-11-07 | 2018-04-06 | 上海交通大学 | More microgrid flexible interconnection structures based on commonly connected unit |
| CN108332463A (en) * | 2018-01-26 | 2018-07-27 | 杭州富春云科技有限公司 | The control method and system of air-conditioning cabinet between data center's battery |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107887934A (en) * | 2017-11-07 | 2018-04-06 | 上海交通大学 | More microgrid flexible interconnection structures based on commonly connected unit |
| CN108332463A (en) * | 2018-01-26 | 2018-07-27 | 杭州富春云科技有限公司 | The control method and system of air-conditioning cabinet between data center's battery |
| CN109347124A (en) * | 2018-11-29 | 2019-02-15 | 国网江苏省电力有限公司南京供电分公司 | Method and apparatus is stabilized using the electric heating microgrid dominant eigenvalues of regenerative heat pump group |
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| US11277009B2 (en) | 2018-11-29 | 2022-03-15 | State Grid Jiangsu Electric Power Co., Ltd Nanjing Power Supply Company | Method and apparatus for smoothing link-line power of electrothermal microgrid using thermal storage heat pump |
| CN109638857B (en) * | 2018-11-29 | 2022-07-12 | 国网江苏省电力有限公司南京供电分公司 | Electric heating microgrid tie line power layering collaborative stabilization strategy based on distributed heat pump group control |
| CN110601260A (en) * | 2019-09-11 | 2019-12-20 | 电子科技大学 | Light-storage system capacity optimization method for limiting power fluctuation on interconnection line |
| CN111006299A (en) * | 2019-12-31 | 2020-04-14 | 国网北京市电力公司 | Control method and device for heat accumulating type electric heating |
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