CN110165692A - Based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system and method - Google Patents
Based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system and method Download PDFInfo
- Publication number
- CN110165692A CN110165692A CN201910536293.8A CN201910536293A CN110165692A CN 110165692 A CN110165692 A CN 110165692A CN 201910536293 A CN201910536293 A CN 201910536293A CN 110165692 A CN110165692 A CN 110165692A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- virtual energy
- temperature control
- unit
- storage unit
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000033228 biological regulation Effects 0.000 title claims abstract description 29
- 230000008569 process Effects 0.000 claims abstract description 22
- 230000004044 response Effects 0.000 claims abstract description 15
- 230000003993 interaction Effects 0.000 claims abstract description 10
- 238000010248 power generation Methods 0.000 claims abstract description 10
- 230000005611 electricity Effects 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 238000007599 discharging Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000001276 controlling effect Effects 0.000 claims 1
- 230000003287 optical effect Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000008030 elimination Effects 0.000 description 2
- 238000003379 elimination reaction Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Classifications
-
- 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
-
- H02J3/383—
-
- 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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
-
- 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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
It is of the invention based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system and method, system includes: photovoltaic cells, secondary battery unit and cluster temperature control load cell, system control unit, inversion unit and dispatching control center.The power generation process of photovoltaic cells is equivalent to the discharge process of virtual energy storage battery, temperature control load cell increases the charging process that load electric power process is equivalent to virtual energy storage battery, otherwise is discharge process.Photovoltaic cells, secondary battery unit and cluster temperature control load cell constitute virtual energy storage unit.Using weather forecasting data as input, control the charging of night battery gradient, it is charged according to scheduling signals and photovoltaic power output situation in paddy phase gradient in the daytime, realizes that virtual energy storage unit and power grid bus carry out stable information and energetic interaction, and then participate in the service of demand response peak regulation.The present invention is able to achieve energy complementation, avoids abandoning optical phenomenon, and can participate in peak regulation service, reduces load peak-valley difference, fully consider the comfort level of user.
Description
Technical field
The invention belongs to the demand response technical field in electric system ancillary service, it is related to based on photovoltaic-battery-temperature
Control the virtual energy storage peak regulation system and method for load.
Background technique
In recent years, environmental pollution constantly aggravates with problem of energy crisis, and China's energy resource structure constantly changes, with clear
The clean energy is widely applied, and new problem is also following.Due to the uncertainty of renewable energy power generation, cannot achieve smooth
It is grid-connected, so that " light is abandoned in abandonment " phenomenon occur.Meanwhile continuous rise of seasonal peak load leads to electric network peak pressure not
It is disconnected to increase.In this case, the regulation of user side is particularly important.For the development for promoting clean energy resource, optimize multiple resources
Configuration, virtual energy storage and clean energy resource on-site elimination become new research hotspot.Energy storage regulation is to realize clean energy resource smoothly simultaneously
Net, the key technology for participating in electric system demand response.
For current virtual energy storage system, the internal battery that mainly considers is filtered and assists with temperature control load
Regulation system, it is grid-connected with this next smooth clean energy resource, reduce the impact to power grid.But this kind of situation do not consider cloudy day or
The environmental factors such as calm, and the comfort level of temperature control load user does not obtain adequately yet under cloudy day or calm weather condition
Consider.Therefore, information is carried out using the virtual energy storage system and power grid that consider environmental factor and users'comfort and energy is handed over
It is mutually very necessary.
Summary of the invention
The object of the present invention is to provide based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system and method, with
It realizes that the energy is complementary, avoids abandoning optical phenomenon, and peak regulation service can be participated in, reduce load peak-valley difference.
It is of the invention based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system, comprising: virtual energy storage unit,
System control unit, dispatching control center and inversion unit；
The charge-discharge characteristic that actual battery is equivalent to external characteristics of the virtual energy storage unit, including signal processing mould
Block, the photovoltaic cells being connect respectively with signal processing module, secondary battery unit and cluster temperature control load cell, secondary battery unit and
Cluster temperature control load cell is connected；
The inversion unit will be connected after the direct current progress inversion of virtual energy storage unit with the interconnection of power distribution network；
The system control unit controls the energy inside virtual energy storage unit by signal processing module and distributes, and controls
Virtual energy storage unit and power distribution network carry out energetic interaction；
The dispatching control center be used for system control unit send peaking signal so that control virtual energy storage unit and
Power distribution network carries out energetic interaction.
Of the invention based in photovoltaic-battery-temperature control load virtual energy storage peak regulation system, the system control is single
Member includes temperature sensor, central controller and host computer；
The temperature sensor is for temperature signal in collection room and is sent to host computer；
The host computer is used to obtain the secondary degree/day of prediction, weather rain or shine state, continuous cloudy number of days and battery
The SOC of unitbState is simultaneously sent to central controller；
The central controller is used to carry out energy monitoring to virtual energy storage unit, and receives the information and scheduling of host computer
The peaking signal of control centre sends control signal to the signal processing module of virtual energy storage unit after analyzing to realize energy
Distribution and power distribution network carry out energetic interaction.
Of the invention based in photovoltaic-battery-temperature control load virtual energy storage peak regulation system, the virtual energy storage list
The power generation process conversion of photovoltaic cells in member is the discharge process of virtual energy storage battery, and photovoltaic cells conversion is virtual energy storage electricity
The state-of-charge in pond are as follows:
In formula: QPVFor the rated generation capacity of photovoltaic cells, I is the operating point electric current of photovoltaic cells, and U is photovoltaic cells
Quiescent potential, t are the generating dutation of photovoltaic cells.
Of the invention based in photovoltaic-battery-temperature control load virtual energy storage peak regulation system, the cluster temperature control is negative
Lotus unit can respond the demand for control of electric power under the premise of not influencing users'comfort, when increasing load electric power, process
It is equivalent to the charging process of battery, otherwise is discharge process；
Temperature control load cell is converted as the state-of-charge of virtual energy storage battery are as follows:
In formula: TinFor room temperature；TminFor the minimum value of room temperature setting value；TmaxMost for room temperature setting value
Big value；
Temperature control load cell is converted as the capacity model of virtual energy storage battery are as follows:
In formula: QaclFor the virtual battery capacity of temperature control load cell；Δ t is transformation period；R is thermal resistance；ηcopFor temperature control
Load Energy Efficiency Ratio.
Of the invention based in photovoltaic-battery-temperature control load virtual energy storage peak regulation system:
The equivalent capacity model of the virtual energy storage unit are as follows:
Qsum=Qb+QPV+Qacl
In formula: QsumFor the equivalent capacity of virtual energy storage unit, QbFor the capacity of secondary battery unit；QPVFor photovoltaic cells hair
The rated capacity of electricity；
The equivalent state-of-charge of virtual energy storage unit are as follows:
In formula: SOCbFor the state-of-charge of secondary battery unit；QPVFor the rated capacity of photovoltaic cells power generation；S(t),Sacl
(t) be respectively t moment secondary battery unit and temperature control load cell charging and discharging state.
Of the invention based in photovoltaic-battery-temperature control load virtual energy storage peak regulation system: the virtual energy storage list
The state-of-charge constraint condition of member are as follows:
SOCmin≤SOCsum≤SOCmax
In formula: SOCmin、SOCmaxThe respectively minimum value and maximum value of virtual energy storage unit state-of-charge.
The present invention also provides based on photovoltaic-battery-temperature control load virtual energy storage peak regulating method, including walk as follows
It is rapid:
Step 1: host computer obtains the secondary degree/day of prediction, weather rain or shine state, continuous cloudy number of days and battery list
The SOC of memberbState, and the information is sent to central controller；
Step 2: central controller receives the data of host computer transmission, and carries out data processing；
Step 3: central controller carries out energy monitoring to virtual energy storage unit；
Step 4: host computer obtains photovoltaic and goes out force data；
Step 5: judge whether at night, it is no to then follow the steps 7 if so then execute step 6；
Step 6: the set time charged to virtual energy storage unit is arranged in central controller, and timing gives virtual energy storage unit
In secondary battery unit charging signals S (t), if reach the night dip charging time, central controller by 0/1 signal to electric power storage
Pool unit carries out gradient charging, then executes step 13；
Step 7: day time, host computer set indoor set temperature TsetAnd the bound T of temperature changemin、Tmax, together
When temperature sensor transmit a signal to host computer；
Step 8: central controller receives host computer and transmits signal, and carries out information exchange with dispatching control center, simultaneously
The energy information of virtual energy storage unit is monitored, control signal is sent；It is filled when photovoltaic cells power output is greater than cluster temperature control load cell
Electrical power executes step 9, no to then follow the steps 12；
Step 9: 0/1 control signal being issued to virtual energy storage unit, is charged when photovoltaic cells power output is greater than secondary battery unit
When the sum of surplus and cluster temperature control load cell charge power, step 10 is executed, it is no to then follow the steps 11；
Step 10: photovoltaic cells electric discharge is first charged for cluster temperature control load cell, then passing through control signal is battery list
Member charging, virtual energy storage unit externally shows flash-over characteristic at this time, sends central controller for characteristic, remaining capacity is fed
Power grid continues to execute step 15；
Step 11: photovoltaic cells electric discharge is that secondary battery unit and temperature control load charge, and virtual energy storage unit is externally shown
Can put can fill characteristic, can active response power grid scheduling, continue to execute step 15；
Step 12: when the sum of photovoltaic cells and secondary battery unit electricity power output are less than cluster temperature control load cell charge power
Shi Zhihang step 13, on the contrary execute step 14；
Step 13: being charged using first paddy phase of electricity consumption in the daytime to virtual energy storage unit, continue to execute step 15；
Step 14: photovoltaic cells and secondary battery unit electric discharge are charged for cluster temperature control load cell, virtual energy storage unit pair
Outer display flash-over characteristic, can response scheduling, or alleviate pressure by stages, continue to execute step 15；
Step 15: system control unit monitors virtual energy storage system SOCsumState, and sent according to dispatching control center
Whether signal deciding carries out gradient charging, and return step 3 in next phase of paddy in the daytime.
It is of the invention based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system and method, wherein virtual energy storage
The maximum on-site elimination photovoltaic power generation of unit, the virtual energy storage unit charge and discharge process are equivalent to the charge and discharge of actual battery
Process can be stablized and carry out power with power grid and interact, while play that the smooth load curve of peak load shifting, sufficiently to meet user comfortable
The positive effects such as degree.Structure of the invention is compact, has both been able to achieve energy complementation, avoids abandoning optical phenomenon, and it is auxiliary to stablize participation peak regulation
Service is helped, realizes the information exchange with power grid, alleviates peak phase pressure.
Detailed description of the invention
Fig. 1 is the block diagram of the invention based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system；
Fig. 2 is the signal transmission schematic diagram of a specific embodiment of the invention；
Fig. 3 is the flow chart of the invention based on photovoltaic-battery-temperature control load virtual energy storage peak regulating method.
Specific embodiment
As depicted in figs. 1 and 2, of the invention based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system, packet
It includes: virtual energy storage unit 1, system control unit 2, dispatching control center 3 and inversion unit 4.
The charge-discharge characteristic that actual battery is equivalent to external characteristics of the virtual energy storage unit 1, including signal processing mould
Block 11, the photovoltaic cells 12 connecting respectively with signal processing module 11, secondary battery unit 13 and cluster temperature control load cell 14 store
Battery unit 13 is connected with cluster temperature control load cell 14.The inversion unit 4 carries out the direct current of virtual energy storage unit 1
It is connected after inversion with the interconnection of power distribution network 5.
The system control unit 2 controls the energy distribution inside virtual energy storage unit 1 by signal processing module 11, and
It controls virtual energy storage unit 1 and power distribution network 5 carries out energetic interaction, to participate in peak regulation demand response.System control unit 2 includes temperature
Spend sensor 23, central controller 21 and host computer 22.The temperature sensor 23 is for temperature signal in collection room and sends
To host computer 22, the host computer 22 is used to obtain the secondary degree/day of prediction, weather rain or shine state, continuous cloudy number of days and storage
The SOC of battery unitbState, and the information is sent to central controller 21, the central controller 21 is to virtual energy storage list
Member carry out energy monitoring, while receive host computer information and dispatching control center peaking signal after analyzing to virtual energy storage
The signal processing module 11 of unit 1 sends control signal to realize that energy distribution and power distribution network carry out energetic interaction.
The dispatching control center 3 is used to send peaking signal to system control unit 2 and then controls virtual energy storage unit 1
Energetic interaction is carried out with power distribution network 5.
The power generation process conversion of photovoltaic cells 12 in virtual energy storage unit 1 is the discharge process of virtual energy storage battery, light
Lie prostrate the state-of-charge that the conversion of unit 12 is virtual energy storage battery are as follows:
In formula: QPVFor the rated generation capacity of photovoltaic cells, I is the operating point electric current of photovoltaic cells, and U is photovoltaic cells
Quiescent potential, t are the generating dutation of photovoltaic cells.
Cluster temperature control load cell 14 can respond the demand for control of electric power under the premise of not influencing users'comfort, when
When increasing load electric power, process is equivalent to the charging process of battery, otherwise is discharge process；
Temperature control load cell is converted as the state-of-charge of virtual energy storage battery are as follows:
In formula: TinFor room temperature；TminFor the minimum value of room temperature setting value；TmaxMost for room temperature setting value
Big value；
Temperature control load cell is converted as the capacity model of virtual energy storage battery are as follows:
In formula: QaclFor the virtual battery capacity of temperature control load cell；Δ t is transformation period；R is thermal resistance；ηcopFor temperature control
Load Energy Efficiency Ratio.
Further, the equivalent capacity model of virtual energy storage unit 1 are as follows:
Qsum=Qb+QPV+Qacl
In formula: QsumFor the equivalent capacity of virtual energy storage unit, QbFor the capacity of secondary battery unit；QPVFor photovoltaic cells hair
The rated capacity of electricity；
The equivalent state-of-charge of virtual energy storage unit are as follows:
In formula: SOCbFor the state-of-charge of secondary battery unit；QPVFor the rated capacity of photovoltaic cells power generation；S(t),Sacl
(t) be respectively t moment secondary battery unit and temperature control load cell charging and discharging state.
The state-of-charge constraint condition of virtual energy storage unit 1 are as follows:
SOCmin≤SOCsum≤SOCmax
In formula: SOCmin、SOCmaxThe respectively minimum value and maximum value of virtual energy storage unit state-of-charge.
Of the invention is as follows based on photovoltaic-battery-temperature control load virtual energy storage peak regulating method:
Host computer obtains secondary degree/day of prediction, weather rain or shine state, continuous cloudy day number of days and secondary battery unit
SOCbState, and it is sent to central controller processing.The room temperature T of next day can be preset according to next day temperature conditionsin, Indoor Temperature
Spend the minimum value T of setting valuemin, the maximum of T of room temperature setting valuemax, can be predicted the electricity consumption situation of temperature control load.According to
Rain or shine photovoltaic power output situation can be predicted in state, continuous cloudy number of days to next day weather, further according to the SOC of secondary battery unitbState, can
Predict the depth of charge SOC of night the previous day selection batteryb。
Virtual energy storage unit 1 is by its SOCsumState, whether the information such as controlled are sent to central controller, and current SOCsum
Property information cycle is sent, while central controller receives the control signal of dispatching control center and makes a response, and controls virtual storage
Energy cell discharge, alleviates power grid peak phase pressure.
Real-Time Control Strategy of the invention uses dynamic event trigger mechanism, first determines whether power grid reaches electricity consumption peak
Phase, then according to following four events: 1. Ppv+Pb< Pacl、②Ppv+Pb≥Pacl、③Ppv< Pacl+Pb、④Ppv≥Pacl+Pb?
The electricity consumption peak phase carries out power distribution.Setting temperature control load cell is for freezing, and the charging of temperature control load cell is by room temperature
Limit TmaxReach lowest temperature TminRequired maximum duration is Δ tmax。
When 1. event occurs, virtual energy storage unit 1 sends signal to central controller 21, center control through host computer 22
Device 21 processed shifts to an earlier date at least Δ t at the time point that the sending scheduling signals of dispatching control center 3 are scheduledmaxTime is virtual energy storage
The lower temperature control load cell charging of room temperature in unit 1, photovoltaic cells and secondary battery unit are the higher temperature of room temperature
Load cell charging is controlled, when reaching peak times of power consumption, virtual energy storage unit sends SOCsumState is to central controller 21 and rings
The scheduling of dispatching control center 3 is answered to be discharged or stop charging.
When 2. event occurs, virtual energy storage unit may participate in demand to the transmission of central controller 21 by host computer 22 and ring
Induction signal, central controller 21 send the signal to dispatching control center 3, and dispatching control center 3 is assigned in peak times of power consumption
Peak regulation order, first by photovoltaic cells, for temperature control type load, according to room temperature, by height, being sequentially charged to ground, deficiency are contributed by storing
Battery unit supplement, virtual energy storage unit participate in response, carry out drop low peak period load, at this point, if electricity consumption peak value is excessively high, it is virtual to store up
Energy unit can also be fed to bus.
When 3. event occurs, virtual energy storage unit sends controllable signal to central controller 21 by host computer 22, uses
When electric peak period, dispatching control center sends control signal to central controller, and virtual energy storage unit stops charging or Xiang Pei electricity
Net bus feed, virtual energy storage unit inside photovoltaic cells are the charging of temperature control load cell first, according to dispatching control center need
Target power is asked to determine remaining capacity foldback power grid or charge for secondary battery unit.
When 4. event occurs, virtual energy storage unit will may participate in response signal and be sent to central controller or by needs
Foldback power grid electric signal is sent to central controller, then sends dispatching control center to by central controller, in the electricity consumption peak phase
Scheduling is participated in, power grid pressure is alleviated；
After virtual energy storage unit participates in response, by SOCsumIt controls in the center that state sends system control unit to through host computer
Device processed, central controller carry out data processing after, control virtual energy storage unit secondary battery unit paddy phase choosing period of time most
Excellent time point charges.
As shown in Figure 3 when it is implemented, including the following steps:
Step 1: host computer obtains the secondary degree/day of prediction, weather rain or shine state, continuous cloudy number of days and battery list
The SOC of memberbState, and the information is sent to central controller；
Step 2: central controller receives the data of host computer transmission, and carries out data processing；
Step 3: central controller carries out energy monitoring to virtual energy storage unit；
Step 4: host computer obtains photovoltaic and goes out force data；
Step 5: judge whether at night, it is no to then follow the steps 7 if so then execute step 6；
Step 6: the set time charged to virtual energy storage unit is arranged in central controller, and timing gives virtual energy storage unit
In secondary battery unit charging signals S (t), if reach the night dip charging time, central controller by 0/1 signal to electric power storage
Pool unit carries out gradient charging, then executes step 13；
Step 7: day time, host computer set indoor set temperature TsetAnd the bound T of temperature changemin、Tmax, together
When temperature sensor transmit a signal to host computer；
Step 8: central controller receives host computer and transmits signal, and carries out information exchange with dispatching control center, simultaneously
The energy information of virtual energy storage unit is monitored, control signal is sent；It is filled when photovoltaic cells power output is greater than cluster temperature control load cell
Electrical power executes step 9, no to then follow the steps 12,
Step 9: to virtual energy storage unit issue 0/1 control signal, when occur event 4. when, i.e., photovoltaic cells power output be greater than
Secondary battery unit charge the sum of surplus and cluster temperature control load cell charge power when execution step 10, when generation event 3. when hold
Row step 11；
Step 10: photovoltaic cells electric discharge is first charged for cluster temperature control load cell, then passing through control signal is battery list
Member charging, virtual energy storage unit externally shows flash-over characteristic at this time, sends central controller for characteristic, remaining capacity is fed
Power grid continues to execute step 15；
Step 11: photovoltaic cells electric discharge is that secondary battery unit and temperature control load charge, when it is implemented, photovoltaic cells are first
It first charges for temperature control load cell, according to dispatching control center requirement objective power decision remaining capacity foldback power grid or to store
Battery unit charging, virtual energy storage unit, which externally shows to put, can fill characteristic, can active response power grid scheduling, continue to execute step
Rapid 15；
Step 12: when occur event 1. when, i.e., photovoltaic cells and secondary battery unit electricity power output the sum of be less than cluster temperature control
When load cell charge power execute step 13, when occur event 2. when, execute step 14；
Step 13: being charged using first paddy phase of electricity consumption in the daytime to virtual energy storage unit；When arrival peak times of power consumption
When, virtual energy storage unit sends SOCsumState is discharged or is stopped to the scheduling of central controller and response scheduling control centre
It only charges, continues to execute step 15；
Step 14: photovoltaic cells and secondary battery unit electric discharge are charged for cluster temperature control load cell, virtual energy storage unit pair
Outer display flash-over characteristic, can response scheduling, or alleviate pressure by stages, continue to execute step 15；
Step 15: system control unit monitors virtual energy storage system SOCsumState, and sent according to dispatching control center
Whether signal deciding carries out gradient charging, and return step 3 in next phase of paddy in the daytime.
The foregoing is merely presently preferred embodiments of the present invention, the thought being not intended to limit the invention, all of the invention
Within spirit and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (7)
1. based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system characterized by comprising virtual energy storage list
Member, system control unit, dispatching control center and inversion unit；
The charge-discharge characteristic that actual battery is equivalent to external characteristics of the virtual energy storage unit, including signal processing module, point
Photovoltaic cells, secondary battery unit and cluster temperature control load cell, secondary battery unit and the cluster not connect with signal processing module
Temperature control load cell is connected；
The inversion unit will be connected after the direct current progress inversion of virtual energy storage unit with the interconnection of power distribution network；
The system control unit controls the energy inside virtual energy storage unit by signal processing module and distributes, and controls virtual
Energy-storage units and power distribution network carry out energetic interaction；
The dispatching control center is used to send peaking signal to system control unit and then controls virtual energy storage unit and distribution
Net carries out energetic interaction.
2. as described in claim 1 based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system, which is characterized in that
The system control unit includes temperature sensor, central controller and host computer；
The temperature sensor is for temperature signal in collection room and is sent to host computer；
The host computer is used to obtain the secondary degree/day of prediction, weather rain or shine state, continuous cloudy number of days and secondary battery unit
SOCbState is simultaneously sent to central controller；
The central controller is used to carry out energy monitoring to virtual energy storage unit, and receives the information and scheduling controlling of host computer
The peaking signal at center sends control signal to the signal processing module of virtual energy storage unit after analyzing to realize that energy distributes
Energetic interaction is carried out with power distribution network.
3. as described in claim 1 based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system, which is characterized in that
The power generation process conversion of photovoltaic cells in the virtual energy storage unit is the discharge process of virtual energy storage battery, photovoltaic cells folding
Calculate the state-of-charge for virtual energy storage battery are as follows:
In formula: QPVFor the rated generation capacity of photovoltaic cells, I is the operating point electric current of photovoltaic cells, and U is the work of photovoltaic cells
Point voltage, t are the generating dutation of photovoltaic cells.
4. as claimed in claim 3 based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system, which is characterized in that
The cluster temperature control load cell can respond the demand for control of electric power under the premise of not influencing users'comfort, negative when increasing
When charged power, process is equivalent to the charging process of battery, otherwise is discharge process；
Temperature control load cell is converted as the state-of-charge of virtual energy storage battery are as follows:
In formula: TinFor room temperature；TminFor the minimum value of room temperature setting value；TmaxFor the maximum of room temperature setting value
Value；
Temperature control load cell is converted as the capacity model of virtual energy storage battery are as follows:
In formula: QaclFor the virtual battery capacity of temperature control load cell；Δ t is transformation period；R is thermal resistance；ηcopFor temperature control load
Energy Efficiency Ratio.
5. as claimed in claim 4 based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system, it is characterised in that:
The equivalent capacity model of the virtual energy storage unit are as follows:
Qsum=Qb+QPV+Qacl
In formula: QsumFor the equivalent capacity of virtual energy storage unit, QbFor the capacity of secondary battery unit；QPVFor photovoltaic cells power generation
Rated capacity；
The equivalent state-of-charge of virtual energy storage unit are as follows:
In formula: SOCbFor the state-of-charge of secondary battery unit；QPVFor the rated capacity of photovoltaic cells power generation；S(t),Sacl(t) divide
Not Wei t moment secondary battery unit and temperature control load cell charging and discharging state.
6. as claimed in claim 5 based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system, it is characterised in that:
The state-of-charge constraint condition of the virtual energy storage unit are as follows:
SOCmin≤SOCsum≤SOCmax
In formula: SOCmin、SOCmaxThe respectively minimum value and maximum value of virtual energy storage unit state-of-charge.
7. based on photovoltaic-battery-temperature control load virtual energy storage peak regulating method, which comprises the steps of:
Step 1: host computer obtains secondary degree/day of prediction, weather rain or shine state, continuous cloudy day number of days and secondary battery unit
SOCbState, and the information is sent to central controller；
Step 2: central controller receives the data of host computer transmission, and carries out data processing；
Step 3: central controller carries out energy monitoring to virtual energy storage unit；
Step 4: host computer obtains photovoltaic and goes out force data；
Step 5: judge whether at night, it is no to then follow the steps 7 if so then execute step 6；
Step 6: the set time charged to virtual energy storage unit is arranged in central controller, and timing gives in virtual energy storage unit
Secondary battery unit charging signals S (t), if reaching the night dip charging time, central controller is by 0/1 signal to battery list
Member carries out gradient charging, then executes step 13；
Step 7: day time, host computer set indoor set temperature TsetAnd the bound T of temperature changemin、Tmax, while temperature
Degree sensor transmits a signal to host computer；
Step 8: central controller receives host computer and transmits signal, and carries out information exchange with dispatching control center, monitors simultaneously
The energy information of virtual energy storage unit sends control signal；When photovoltaic cells power output is greater than cluster temperature control load cell charging function
Rate executes step 9, no to then follow the steps 12；
Step 9: 0/1 control signal being issued to virtual energy storage unit, when photovoltaic cells power output is greater than secondary battery unit charging surplus
When with the sum of cluster temperature control load cell charge power, step 10 is executed, it is no to then follow the steps 11；
Step 10: photovoltaic cells electric discharge is first charged for cluster temperature control load cell, then is filled by control signal for secondary battery unit
Electricity, virtual energy storage unit externally shows flash-over characteristic at this time, sends central controller for characteristic, and remaining capacity is fed electricity
Net continues to execute step 15；
Step 11: photovoltaic cells electric discharge is that secondary battery unit and temperature control load charge, and virtual energy storage unit externally shows and can put
Characteristic can be filled, can active response power grid scheduling, continue to execute step 15；
Step 12: being held when the sum of photovoltaic cells and secondary battery unit electricity power output are less than cluster temperature control load cell charge power
Row step 13, on the contrary execute step 14；
Step 13: being charged using first paddy phase of electricity consumption in the daytime to virtual energy storage unit, continue to execute step 15；
Step 14: photovoltaic cells and secondary battery unit electric discharge are charged for cluster temperature control load cell, and virtual energy storage unit is externally shown
Show flash-over characteristic, can response scheduling, or alleviate pressure by stages, continue to execute step 15；
Step 15: system control unit monitors virtual energy storage system SOCsumState, and the signal sent according to dispatching control center
Determine whether carry out gradient charging, and return step 3 in next phase of paddy in the daytime.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910536293.8A CN110165692B (en) | 2019-06-20 | 2019-06-20 | Virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910536293.8A CN110165692B (en) | 2019-06-20 | 2019-06-20 | Virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110165692A true CN110165692A (en) | 2019-08-23 |
| CN110165692B CN110165692B (en) | 2022-12-30 |
Family
ID=67626200
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910536293.8A Active CN110165692B (en) | 2019-06-20 | 2019-06-20 | Virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110165692B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110676885A (en) * | 2019-09-06 | 2020-01-10 | 国家电网公司西北分部 | Peak regulation method taking new energy as core |
| EP4094342A4 (en) * | 2020-01-24 | 2024-02-21 | Aclara Technologies LLC | Battery state-of-charge protection |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2688171A1 (en) * | 2012-07-19 | 2014-01-22 | Robert Bosch GmbH | Energy storage for photovoltaic facility, energy storage power plant, control device and method for operating an energy storage device |
| CN106972534A (en) * | 2017-04-28 | 2017-07-21 | 国网山东省电力公司泰安供电公司 | A kind of photovoltaic charge station energy schedule management method |
| CN109245134A (en) * | 2018-11-14 | 2019-01-18 | 上海交通大学 | Adaptively regulate and control the hybrid energy-storing dispatching method and system of algorithm based on Virtual Fuzzy |
-
2019
- 2019-06-20 CN CN201910536293.8A patent/CN110165692B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2688171A1 (en) * | 2012-07-19 | 2014-01-22 | Robert Bosch GmbH | Energy storage for photovoltaic facility, energy storage power plant, control device and method for operating an energy storage device |
| CN106972534A (en) * | 2017-04-28 | 2017-07-21 | 国网山东省电力公司泰安供电公司 | A kind of photovoltaic charge station energy schedule management method |
| CN109245134A (en) * | 2018-11-14 | 2019-01-18 | 上海交通大学 | Adaptively regulate and control the hybrid energy-storing dispatching method and system of algorithm based on Virtual Fuzzy |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110676885A (en) * | 2019-09-06 | 2020-01-10 | 国家电网公司西北分部 | Peak regulation method taking new energy as core |
| CN110676885B (en) * | 2019-09-06 | 2022-09-09 | 国家电网有限公司西北分部 | Peak regulation method taking new energy as core |
| EP4094342A4 (en) * | 2020-01-24 | 2024-02-21 | Aclara Technologies LLC | Battery state-of-charge protection |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110165692B (en) | 2022-12-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109301849B (en) | Energy management combination control strategy for user-side battery energy storage power station | |
| CN108667052B (en) | Multi-type energy storage system planning configuration method and system for virtual power plant optimized operation | |
| CN111900727B (en) | PSO-based optical storage, charging and replacement integrated charging station collaborative optimization scheduling method and device | |
| CN103107600B (en) | Intelligent charging and power supply system of internet of things and scheduling method thereof | |
| CN111799827B (en) | Transformer area load regulation and control method containing optical storage charging station | |
| CN105047966B (en) | Flow battery multi-mode operation control method and its system | |
| CN202586481U (en) | Micro electrical network intelligent balanced charging and power supply system | |
| CN110601334B (en) | Charging station and energy dispatching management method thereof | |
| CN106451552B (en) | A kind of microgrid energy management system distributed optimization algorithm based on gesture game | |
| CN109921449A (en) | Flow battery energy storage power station power distribution unit and method | |
| CN107769236A (en) | A kind of wind power generating set energy-storing and power-generating system and its energy dispatching method | |
| CN109713666A (en) | It is a kind of based on K-means cluster electricity market under distributed energy storage economic adjusting and control method | |
| CN110112783A (en) | Photovoltaic storage battery micro-capacitance sensor dispatch control method | |
| CN108197726A (en) | A kind of home energy data optimization methods based on improvement evolution algorithm | |
| CN109494813A (en) | A kind of power dispatching method, electronic equipment and storage medium | |
| CN202888862U (en) | Energy storage inverter suitable for distributed new energy power | |
| CN110611322A (en) | System frequency control method based on electric automobile energy efficiency power plant | |
| CN110350553B (en) | Incoming line power spike suppression method and system based on multi-power regulation technology | |
| CN110165692A (en) | Based on photovoltaic-battery-temperature control load virtual energy storage peak regulation system and method | |
| CN115170343A (en) | Distributed resource and energy storage collaborative planning method for regional comprehensive energy system | |
| CN115549159A (en) | Large-scale electric vehicle grouping scheduling strategy considering peak shaving cost | |
| CN212627287U (en) | Light storage charging station structure considering gradient utilization of power battery | |
| CN111563831B (en) | Source network load storage cooperative scheduling method for ubiquitous power Internet of things | |
| CN102931676A (en) | Structure and method of solar power grid-connected self-use multifunctional system | |
| CN108736496B (en) | Supplementary planning method and system for distributed energy storage system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |