CN110165692B - Virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load - Google Patents
Virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load Download PDFInfo
- Publication number
- CN110165692B CN110165692B CN201910536293.8A CN201910536293A CN110165692B CN 110165692 B CN110165692 B CN 110165692B CN 201910536293 A CN201910536293 A CN 201910536293A CN 110165692 B CN110165692 B CN 110165692B
- Authority
- CN
- China
- Prior art keywords
- unit
- energy storage
- virtual energy
- photovoltaic
- storage battery
- 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.)
- Active
Links
- 238000003860 storage Methods 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000008569 process Effects 0.000 claims abstract description 25
- 230000003993 interaction Effects 0.000 claims abstract description 16
- 238000010248 power generation Methods 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims description 16
- 238000007599 discharging Methods 0.000 claims description 11
- 230000005611 electricity Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 2
- 230000004044 response Effects 0.000 abstract description 10
- 238000010586 diagram Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000011217 control strategy Methods 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
- 238000001914 filtration Methods 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Images
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)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a virtual energy storage peak regulation system and a virtual energy storage peak regulation method based on photovoltaic-storage battery-temperature control load, wherein the system comprises: the system comprises a photovoltaic unit, a storage battery unit, a cluster temperature control load unit, a system control unit, an inversion unit and a dispatching control center. The power generation process of the photovoltaic unit is equivalent to the discharge process of the virtual energy storage battery, the process of increasing the load power of the temperature control load unit is equivalent to the charge process of the virtual energy storage battery, and the reverse process is the discharge process. The photovoltaic unit, the storage battery unit and the cluster temperature control load unit form a virtual energy storage unit. The method comprises the steps of taking weather forecast data as input, controlling gradient charging of a storage battery at night, and realizing stable information and energy interaction between a virtual energy storage unit and a power grid bus according to scheduling signals and photovoltaic output conditions in a daytime valley period, so as to participate in demand response peak shaving service. The invention can realize energy complementation, avoid light abandon phenomenon, participate in peak regulation service, reduce load peak-valley difference and fully consider the comfort level of users.
Description
Technical Field
The invention belongs to the technical field of demand response in auxiliary service of a power system, and relates to a virtual energy storage peak shaving system and method based on photovoltaic-storage battery-temperature control load.
Background
In recent years, the problems of environmental pollution and energy crisis are aggravated, the energy structure of China is changed continuously, and new problems come along with the wide application of clean energy. Due to the uncertainty of renewable energy power generation, smooth grid connection cannot be realized, so that the phenomena of wind abandonment and light abandonment are caused. Meanwhile, the peak pressure of the power grid is continuously increased due to the continuous rising of seasonal peak loads. In this case, the user-side control is particularly important. In order to promote the development of clean energy, optimize various resource allocation, and form a new research hotspot through virtual energy storage and local consumption of clean energy. The energy storage regulation and control is a key technology for realizing smooth grid connection of clean energy and participating in demand response of an electric power system.
In the current virtual energy storage system, a storage battery is mainly considered for filtering and coordinated control with a temperature control load, so that smooth and clean energy synchronization is realized, and the impact on a power grid is reduced. However, environmental factors such as cloudy days or no wind are not considered in this case, and the comfort of the user with the temperature control load in cloudy days or no wind is not considered sufficiently. Therefore, it is necessary to use a virtual energy storage system considering environmental factors and user comfort to perform information and energy interaction with the power grid.
Disclosure of Invention
The invention aims to provide a virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load, which are used for realizing energy complementation, avoiding the phenomenon of light abandonment, participating in peak regulation service and reducing load peak-valley difference.
The invention discloses a virtual energy storage peak regulation system based on photovoltaic-storage battery-temperature control load, which comprises: the system comprises a virtual energy storage unit, a system control unit, a dispatching control center and an inversion unit;
the external characteristic of the virtual energy storage unit is equivalent to the charge-discharge characteristic of an actual battery, and the virtual energy storage unit comprises a signal processing module, a photovoltaic unit, a storage battery unit and a cluster temperature control load unit which are respectively connected with the signal processing module, wherein the storage battery unit is connected with the cluster temperature control load unit;
the inversion unit inverts the direct current of the virtual energy storage unit and then is connected with a tie line of the power distribution network;
the system control unit controls the energy distribution in the virtual energy storage unit through the signal processing module and controls the virtual energy storage unit to perform energy interaction with the power distribution network;
and the dispatching control center is used for sending peak shaving signals to the system control unit so as to control the virtual energy storage unit and the power distribution network to carry out energy interaction.
In the virtual energy storage peak regulation system based on photovoltaic-storage battery-temperature control load, the system control unit comprises a temperature sensor, a central controller and an upper computer;
the temperature sensor is used for acquiring an indoor temperature signal and sending the indoor temperature signal to the upper computer;
the upper computer is used for obtaining the predicted next dayTemperature, weather cloudy and sunny conditions, consecutive cloudy days, and SOC of battery cell b The state is sent to the central controller;
the central controller is used for monitoring the energy of the virtual energy storage unit, receiving information of the upper computer and a peak shaving signal of the dispatching control center, analyzing the information and the peak shaving signal, and sending a control signal to the signal processing module of the virtual energy storage unit to realize energy distribution and energy interaction of the power distribution network.
In the virtual energy storage peak shaving system based on photovoltaic-storage battery-temperature control load of the invention, the power generation process of the photovoltaic unit in the virtual energy storage unit is converted into the discharge process of the virtual energy storage battery, and the charge state of the photovoltaic unit converted into the virtual energy storage battery is as follows:
in the formula: q PV The rated power generation capacity of the photovoltaic unit is shown, I is the current of the working point of the photovoltaic unit, U is the voltage of the working point of the photovoltaic unit, and t is the power generation time of the photovoltaic unit.
In the virtual energy storage peak shaving system based on the photovoltaic-storage battery-temperature control load, the cluster temperature control load unit can respond to the control requirement of electric power on the premise of not influencing the comfort level of a user, when the electric power of the load is increased, the process is equivalent to the charging process of a battery, and otherwise, the process is the discharging process;
converting the temperature control load unit into the charge state of the virtual energy storage battery as follows:
in the formula: t is in Is the indoor temperature; t is a unit of min Is the minimum value of the indoor temperature set value; t is max The maximum value of the indoor temperature set value;
the capacity model for converting the temperature control load unit into the virtual energy storage battery is as follows:
in the formula: q acl A virtual battery capacity of a temperature controlled load cell; Δ t is the variation time; r is thermal resistance; eta cop The temperature control load energy efficiency ratio.
In the photovoltaic-battery-temperature-control-load-based virtual energy storage peak shaving system of the invention:
the equivalent capacity model of the virtual energy storage unit is as follows:
Q sum ＝Q b +Q PV +Q acl
in the formula: q sum To the equivalent capacity, Q, of the virtual energy storage unit b Is the capacity of the battery cell; q PV A rated capacity for photovoltaic unit generation;
the equivalent state of charge of the virtual energy storage unit is as follows:
in the formula: SOC (system on chip) b Is the state of charge of the battery cell; q PV A rated capacity for photovoltaic unit generation; s (t), S acl And (t) the charging and discharging states of the storage battery unit and the temperature control load unit at the time t respectively.
In the virtual energy storage peak regulation system based on photovoltaic-storage battery-temperature control load of the invention: the charge state constraint conditions of the virtual energy storage unit are as follows:
SOC min ≤SOC sum ≤SOC max
in the formula: SOC (system on chip) min 、SOC max The minimum value and the maximum value of the charge state of the virtual energy storage unit are respectively.
The invention also provides a virtual energy storage peak regulation method based on the photovoltaic-storage battery-temperature control load, which comprises the following steps:
step 1: the upper computer obtains the predicted temperature of the next day, the weather cloudy and sunny state, the number of days in continuous cloudy days and the SOC of the storage battery unit b Status and transmitting the information to the central controller;
step 2: the central controller receives data transmitted by the upper computer and performs data processing;
and step 3: the central controller monitors the energy of the virtual energy storage unit;
and 4, step 4: the upper computer acquires photovoltaic output data;
and 5: judging whether the vehicle is at night, if so, executing a step 6, otherwise, executing a step 7;
and 6: the central controller sets fixed time for charging the virtual energy storage unit, gives a charging signal S (t) of the storage battery unit in the virtual energy storage unit at regular time, and performs gradient charging on the storage battery unit through a 0/1 signal if the night valley charging time is reached, and then executes step 13;
and 7: during the daytime, the upper computer sets the indoor set temperature T set And upper and lower limits T of temperature variation min 、T max Meanwhile, the temperature sensor transmits signals to an upper computer;
and step 8: the central controller receives the signals transmitted by the upper computer, performs information interaction with the dispatching control center, monitors the energy information of the virtual energy storage unit and sends control signals; when the output of the photovoltaic unit is greater than the charging power of the cluster temperature control load unit, executing step 9, otherwise, executing step 12;
and step 9: sending a 0/1 control signal to the virtual energy storage unit, executing the step 10 when the output of the photovoltaic unit is greater than the sum of the charging allowance of the storage battery unit and the charging power of the cluster temperature control load unit, and otherwise executing the step 11;
step 10: the photovoltaic unit discharges to charge the cluster temperature control load unit, then the storage battery unit is charged through a control signal, at the moment, the virtual energy storage unit displays the discharge characteristic outwards, the characteristic is sent to the central controller, the residual electric quantity is fed to the power grid, and the step 15 is continuously executed;
step 11: discharging the photovoltaic unit to charge the storage battery unit and the temperature control load, displaying the dischargeable and chargeable characteristics by the virtual energy storage unit, actively responding to the dispatching of the power grid, and continuously executing the step 15;
step 12: when the sum of the electric quantity and the output force of the photovoltaic unit and the storage battery unit is smaller than the charging power of the cluster temperature control load unit, executing a step 13, otherwise, executing a step 14;
step 13: charging the virtual energy storage unit by utilizing the first valley period of daytime electricity utilization, and continuously executing the step 15;
step 14: discharging the photovoltaic unit and the storage battery unit to charge the cluster temperature control load unit, displaying the discharge characteristic of the virtual energy storage unit to the outside, responding to scheduling or relieving staging pressure, and continuously executing the step 15;
step 15: system control unit monitors virtual energy storage system SOC sum And determining whether to perform gradient charging in the next daytime valley period according to a signal sent by the scheduling control center, and returning to the step 3.
The virtual energy storage peak shaving system and method based on photovoltaic-storage battery-temperature control load, disclosed by the invention, have the advantages that the virtual energy storage unit furthest consumes photovoltaic power generation in situ, the charging and discharging process of the virtual energy storage unit is equivalent to the charging and discharging process of an actual battery, the power interaction with a power grid can be stably carried out, and the positive effects of peak clipping, valley filling, load smoothing, full satisfaction of user comfort and the like are realized. The invention has compact structure, can realize energy source complementation, avoid light abandon phenomenon, stably participate in peak regulation auxiliary service, realize information interaction with a power grid and relieve peak period pressure.
Drawings
Fig. 1 is a block diagram of a photovoltaic-battery-temperature controlled load based virtual energy storage peak shaving system of the present invention;
FIG. 2 is a signal transmission diagram of an embodiment of the present invention;
fig. 3 is a flow chart of the virtual energy storage peak shaving method based on photovoltaic-storage battery-temperature control load of the present invention.
Detailed Description
As shown in fig. 1 and fig. 2, the virtual energy storage peak shaving system based on photovoltaic-storage battery-temperature controlled load of the present invention includes: the system comprises a virtual energy storage unit 1, a system control unit 2, a dispatching control center 3 and an inversion unit 4.
The external characteristic of the virtual energy storage unit 1 is equivalent to the charging and discharging characteristic of an actual battery, and the virtual energy storage unit comprises a signal processing module 11, a photovoltaic unit 12, a storage battery unit 13 and a cluster temperature control load unit 14, wherein the photovoltaic unit 12, the storage battery unit 13 and the cluster temperature control load unit 14 are respectively connected with the signal processing module 11, and the storage battery unit 13 and the cluster temperature control load unit 14 are connected. And the inversion unit 4 inverts the direct current of the virtual energy storage unit 1 and then is connected with a tie line of the power distribution network 5.
The system control unit 2 controls energy distribution inside the virtual energy storage unit 1 through the signal processing module 11, and controls the virtual energy storage unit 1 to perform energy interaction with the power distribution network 5 to participate in peak shaving demand response. The system control unit 2 includes a temperature sensor 23, a central controller 21, and an upper computer 22. The temperature sensor 23 is used for collecting indoor temperature signals and sending the indoor temperature signals to the upper computer 22, and the upper computer 22 is used for obtaining the predicted temperature of the next day, the cloudy and sunny state of the weather, the number of days of continuous cloudy days and the SOC of the storage battery unit b And the central controller 21 monitors the energy of the virtual energy storage unit, receives the information of the upper computer and the peak shaving signal of the dispatching control center, analyzes the peak shaving signal and sends a control signal to the signal processing module 11 of the virtual energy storage unit 1 so as to realize energy distribution and energy interaction with the power distribution network.
And the dispatching control center 3 is used for sending a peak shaving signal to the system control unit 2 so as to control the virtual energy storage unit 1 and the power distribution network 5 to carry out energy interaction.
The power generation process of the photovoltaic unit 12 in the virtual energy storage unit 1 is converted into the discharge process of the virtual energy storage battery, and the state of charge of the photovoltaic unit 12 converted into the virtual energy storage battery is as follows:
in the formula: q PV The rated power generation capacity of the photovoltaic unit is shown, I is the current of the working point of the photovoltaic unit, U is the voltage of the working point of the photovoltaic unit, and t is the power generation time of the photovoltaic unit.
The cluster temperature control load unit 14 can respond to the control demand of the power on the premise of not influencing the comfort level of the user, and when the load power is increased, the process is equivalent to the charging process of the battery, otherwise, the process is the discharging process;
converting the temperature control load unit into a state of charge of the virtual energy storage battery as follows:
in the formula: t is in Is the indoor temperature; t is min Is the minimum value of the indoor temperature set value; t is a unit of max The maximum value of the indoor temperature set value;
the capacity model for converting the temperature control load unit into the virtual energy storage battery is as follows:
in the formula: q acl A virtual battery capacity of a temperature controlled load cell; Δ t is the variation time; r is thermal resistance; eta cop Is the temperature control load energy efficiency ratio.
Further, the equivalent capacity model of the virtual energy storage unit 1 is as follows:
Q sum ＝Q b +Q PV +Q acl
in the formula: q sum Is the equivalent capacity, Q, of the virtual energy storage unit b Is the capacity of the battery cell; q PV A rated capacity for photovoltaic unit generation;
the equivalent state of charge of the virtual energy storage unit is as follows:
in the formula: SOC b Is the state of charge of the battery cell; q PV A rated capacity for photovoltaic unit generation; s (t), S acl And (t) represents the charge-discharge state of the storage battery unit and the temperature control load unit at the moment t respectively.
The charge state constraint conditions of the virtual energy storage unit 1 are as follows:
SOC min ≤SOC sum ≤SOC max
in the formula: SOC min 、SOC max The minimum value and the maximum value of the charge state of the virtual energy storage unit are respectively.
The invention discloses a virtual energy storage peak regulation method based on photovoltaic-storage battery-temperature control load, which comprises the following steps:
the upper computer obtains the predicted temperature of the next day, the weather cloudy and sunny state, the number of days in continuous cloudy days and the SOC of the storage battery unit b And the state is sent to the central controller for processing. The indoor temperature T of the next day can be preset according to the temperature condition of the next day in Minimum value of indoor temperature set value T min Maximum value of indoor temperature set value T max The power utilization condition of the temperature-controlled load can be predicted. The photovoltaic output condition can be predicted according to the cloudy and sunny state of the next day and the number of consecutive cloudy days, and then the SOC of the storage battery unit is used b State, which can predict the charging depth SOC of the selected storage battery at night b 。
The virtual energy storage unit 1 uses the SOC thereof sum The state, whether it is controlled, etc. are transmitted to the central controller, and the current SOC sum The information being sent periodically, while the central controller isAnd receiving a control signal of the dispatching control center and responding to the control signal to control the virtual energy storage unit to discharge so as to relieve the peak pressure of the power grid.
The real-time control strategy of the invention adopts a dynamic event trigger mechanism, firstly judges whether the power grid reaches the power consumption peak period, and then according to the following four events: (1) p pv +P b ＜P acl 、②P pv +P b ≥P acl 、③P pv ＜P acl +P b 、④P pv ≥P acl +P b And power distribution is carried out in the peak period of power utilization. Setting a temperature control load unit for refrigeration, and charging the temperature control load unit from an upper limit T of the indoor temperature max Lower limit of reached temperature T min The maximum time required is Δ t max 。
When the event (1) occurs, the virtual energy storage unit 1 transmits a signal to the central controller 21 through the upper computer 22, and the central controller 21 advances by at least delta t at the time point when the scheduling control center 3 sends a scheduling signal for scheduling max The time is that the temperature control load unit with lower indoor temperature in the virtual energy storage unit 1 is charged, the photovoltaic unit and the storage battery unit are charged for the temperature control load unit with higher indoor temperature, and when the peak period of power consumption is reached, the virtual energy storage unit sends SOC sum The status is given to the central controller 21 and the discharging or the stop of the charging is performed in response to the schedule of the schedule control center 3.
When the event (2) occurs, the virtual energy storage unit sends a signal capable of participating in demand response to the central controller 21 through the upper computer 22, the central controller 21 sends the signal to the dispatching control center 3, the dispatching control center 3 issues a peak regulation command in the peak electricity utilization period, the photovoltaic unit charges the temperature control type load according to the sequence of the indoor temperature from high to the ground, insufficient output is supplemented by the storage battery unit, the virtual energy storage unit participates in response to reduce the peak load, and at the moment, if the peak electricity utilization value is too high, the virtual energy storage unit can feed electricity to the bus.
When the event (3) occurs, the virtual energy storage unit sends a controllable signal to the central controller 21 through the upper computer 22, when the power consumption is in a peak period, the dispatching control center sends a control signal to the central controller, the virtual energy storage unit stops charging or feeds power to a power distribution network bus, the photovoltaic unit in the virtual energy storage unit firstly charges the temperature control load unit, and the residual power is determined to be returned to the power grid or charged to the storage battery unit according to the target power required by the dispatching control center.
When the event (4) occurs, the virtual energy storage unit sends a response signal capable of participating in response to the central controller or sends a signal of electric quantity of the power grid needing to be returned to the central controller, and the signal is transmitted to a dispatching control center by the central controller, so that the virtual energy storage unit participates in dispatching in a power consumption peak period and relieves the pressure of the power grid;
after the virtual energy storage unit participates in response, the SOC is started sum And the state is transmitted to a central controller of the system control unit through the upper computer, and after the central controller processes data, the central controller controls the storage battery unit of the virtual energy storage unit to select an optimal time point to charge at the valley period.
As shown in fig. 3, the method comprises the following steps:
step 1: the upper computer obtains the predicted temperature of the next day, the cloudy and sunny weather, the number of days in continuous cloudy days and the SOC of the storage battery unit b Status and transmitting the information to the central controller;
step 2: the central controller receives data transmitted by the upper computer and performs data processing;
and step 3: the central controller monitors the energy of the virtual energy storage unit;
and 4, step 4: the upper computer acquires photovoltaic output data;
and 5: judging whether the night is in the night, if so, executing a step 6, otherwise, executing a step 7;
step 6: the central controller sets fixed time for charging the virtual energy storage unit, gives a charging signal S (t) of the storage battery unit in the virtual energy storage unit at regular time, and carries out gradient charging on the storage battery unit through a 0/1 signal if the night valley charging time is reached, and then executes a step 13;
and 7: during the daytime, the upper computer sets the indoor set temperature T set And upper and lower limits T of temperature variation min 、T max Meanwhile, the temperature sensor transmits signals to an upper computer;
and 8: the central controller receives the signals transmitted by the upper computer, performs information interaction with the dispatching control center, monitors the energy information of the virtual energy storage unit and sends control signals; when the output of the photovoltaic unit is larger than the charging power of the cluster temperature control load unit, executing step 9, otherwise, executing step 12,
and step 9: sending a 0/1 control signal to the virtual energy storage unit, executing a step 10 when an event (4) occurs, namely the output of the photovoltaic unit is greater than the sum of the charging allowance of the storage battery unit and the charging power of the cluster temperature control load unit, and executing a step 11 when an event (3) occurs;
step 10: the photovoltaic unit discharges to charge the cluster temperature control load unit, then the storage battery unit is charged through a control signal, at the moment, the virtual energy storage unit displays the discharge characteristic outwards, the characteristic is sent to the central controller, the residual electric quantity is fed to the power grid, and the step 15 is continuously executed;
step 11: when the photovoltaic unit discharges to charge the storage battery unit and the temperature control load, in specific implementation, the photovoltaic unit firstly charges the temperature control load unit, determines the residual electric quantity to return to the power grid or charge the storage battery unit according to the target power required by the dispatching control center, the virtual energy storage unit externally displays the dischargeable and chargeable characteristic, can actively respond to the dispatching of the power grid, and continuously executes the step 15;
step 12: when an event (1) occurs, namely the sum of the electric quantity and the output force of the photovoltaic unit and the storage battery unit is smaller than the charging power of the cluster temperature control load unit, executing a step 13, and when an event (2) occurs, executing a step 14;
step 13: charging the virtual energy storage unit by utilizing the first valley period of daytime electricity utilization; when the peak time of power utilization is reached, the virtual energy storage unit sends the SOC sum The state is sent to the central controller and the central controller responds to the dispatching of the dispatching control center to discharge or stop charging, and the step 15 is continuously executed;
step 14: the photovoltaic unit and the storage battery unit discharge to charge the cluster temperature control load unit, the virtual energy storage unit displays the discharge characteristic externally, the scheduling can be responded, or the staging pressure is relieved, and the step 15 is continuously executed;
step 15: system control unit monitors virtual energy storage system SOC sum And determining whether to perform gradient charging in the next daytime valley period according to a signal sent by the scheduling control center, and returning to the step 3.
The above description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (6)
1. Virtual energy storage peak shaving system based on photovoltaic-battery-temperature control load, characterized by comprising: the system comprises a virtual energy storage unit, a system control unit, a dispatching control center and an inversion unit;
the external characteristic of the virtual energy storage unit is equivalent to the charge-discharge characteristic of an actual battery, and the virtual energy storage unit comprises a signal processing module, a photovoltaic unit, a storage battery unit and a cluster temperature control load unit which are respectively connected with the signal processing module, wherein the storage battery unit is connected with the cluster temperature control load unit;
the inversion unit inverts the direct current of the virtual energy storage unit and then is connected with a tie line of the power distribution network;
the system control unit controls the energy distribution in the virtual energy storage unit through the signal processing module and controls the virtual energy storage unit to perform energy interaction with the power distribution network;
the dispatching control center is used for sending peak shaving signals to the system control unit so as to control the virtual energy storage unit and the power distribution network to carry out energy interaction;
the control method of the virtual energy storage peak regulation system based on the photovoltaic-storage battery-temperature control load comprises the following steps:
step 1: the upper computer obtains the predicted temperature of the next day, the weather cloudy and sunny state, the number of days in continuous cloudy days and the SOC of the storage battery unit b State and transmitting information to the central controller;
and 2, step: the central controller receives data transmitted by the upper computer and performs data processing;
and step 3: the central controller monitors the energy of the virtual energy storage unit;
and 4, step 4: the upper computer acquires photovoltaic output data;
and 5: judging whether the vehicle is at night, if so, executing a step 6, otherwise, executing a step 7;
and 6: the central controller sets fixed time for charging the virtual energy storage unit, gives a charging signal S (t) of the storage battery unit in the virtual energy storage unit at regular time, and performs gradient charging on the storage battery unit through a 0/1 signal if the night valley charging time is reached, and then executes step 13;
and 7: during the daytime, the upper computer sets the indoor set temperature T set And upper and lower limits T of temperature variation min 、T max Meanwhile, the temperature sensor transmits a signal to an upper computer;
and 8: the central controller receives the signals transmitted by the upper computer, performs information interaction with the dispatching control center, monitors the energy information of the virtual energy storage unit and sends control signals; when the output of the photovoltaic unit is greater than the charging power of the cluster temperature control load unit, executing step 9, otherwise, executing step 12;
and step 9: sending a 0/1 control signal to the virtual energy storage unit, executing the step 10 when the output of the photovoltaic unit is greater than the sum of the charging allowance of the storage battery unit and the charging power of the cluster temperature control load unit, and otherwise executing the step 11;
step 10: the photovoltaic unit discharges to charge the cluster temperature control load unit, then the storage battery unit is charged through a control signal, at the moment, the virtual energy storage unit displays the discharging characteristic outwards, the characteristic is sent to the central controller, the residual electric quantity is fed to the power grid, and the step 15 is continuously executed;
step 11: discharging the photovoltaic unit to charge the storage battery unit and the temperature control load, displaying the dischargeable and chargeable characteristics by the virtual energy storage unit, actively responding to the dispatching of the power grid, and continuously executing the step 15;
step 12: when the sum of the electric quantity output of the photovoltaic unit and the electric quantity output of the storage battery unit is smaller than the charging power of the cluster temperature control load unit, executing a step 13, otherwise, executing a step 14;
step 13: charging the virtual energy storage unit by utilizing the first valley period of daytime electricity utilization, and continuously executing the step 15;
step 14: the photovoltaic unit and the storage battery unit discharge to charge the cluster temperature control load unit, the virtual energy storage unit displays the discharge characteristic externally, the scheduling can be responded, or the staging pressure is relieved, and the step 15 is continuously executed;
step 15: system control unit monitors virtual energy storage system SOC sum And determining whether to perform gradient charging in the next daytime valley period according to the signal sent by the dispatching control center, and returning to the step 3.
2. The photovoltaic-battery-temperature controlled load-based virtual energy storage peak shaving system according to claim 1, wherein the system control unit comprises a temperature sensor, a central controller and an upper computer;
the temperature sensor is used for acquiring an indoor temperature signal and sending the indoor temperature signal to the upper computer;
the upper computer is used for acquiring the predicted temperature of the next day, the weather cloudy and sunny state, the number of days in the cloudy day and the SOC of the storage battery unit b The state is sent to the central controller;
the central controller is used for monitoring the energy of the virtual energy storage unit, receiving information of the upper computer and a peak shaving signal of the dispatching control center, and sending a control signal to the signal processing module of the virtual energy storage unit after analysis so as to realize energy distribution and energy interaction with the power distribution network.
3. The photovoltaic-battery-temperature-controlled-load-based virtual energy storage peak shaving system according to claim 1, wherein the power generation process of the photovoltaic units in the virtual energy storage units is converted into the discharge process of the virtual energy storage battery, and the state of charge of the photovoltaic units converted into the virtual energy storage battery is:
in the formula: q PV Rated generating capacity for photovoltaic unitThe I is the current of the working point of the photovoltaic unit, the U is the voltage of the working point of the photovoltaic unit, and the t is the power generation time of the photovoltaic unit.
4. The photovoltaic-battery-temperature-controlled-load-based virtual energy storage peak shaving system according to claim 3, wherein the cluster temperature-controlled load units can respond to the control demand of power without affecting the comfort of users, and when the power of the load is increased, the process is equivalent to the charging process of a battery, and vice versa;
converting the temperature control load unit into the charge state of the virtual energy storage battery as follows:
in the formula: t is in Is the indoor temperature; t is min Is the minimum value of the indoor temperature set value; t is max The maximum value of the indoor temperature set value;
the capacity model for converting the temperature control load unit into the virtual energy storage battery is as follows:
in the formula: q acl Is the virtual battery capacity of the temperature controlled load cell; Δ t is the change time; r is thermal resistance; eta cop The temperature control load energy efficiency ratio.
5. The photovoltaic-battery-temperature controlled load-based virtual energy storage peak shaving system of claim 4, wherein:
the equivalent capacity model of the virtual energy storage unit is as follows:
Q sum ＝Q b +Q PV +Q acl
in the formula: q sum Is the equivalent capacity, Q, of the virtual energy storage unit b Is the capacity of the battery cell; q PV Rating for photovoltaic unit power generationCapacity;
the equivalent state of charge of the virtual energy storage unit is as follows:
in the formula: SOC b Is the state of charge of the battery cell; q PV A rated capacity for photovoltaic unit generation; s (t), S acl And (t) represents the charge-discharge state of the storage battery unit and the temperature control load unit at the moment t respectively.
6. The photovoltaic-battery-temperature controlled load-based virtual energy storage peak shaving system of claim 5, wherein: the charge state constraint conditions of the virtual energy storage unit are as follows:
SOC min ≤SOC sum ≤SOC max
in the formula: SOC min 、SOC max The minimum value and the maximum value of the charge state of the virtual energy storage unit are respectively.
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 CN110165692A (en) | 2019-08-23 |
| CN110165692B true 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) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102012212654A1 (en) * | 2012-07-19 | 2014-01-23 | Robert Bosch Gmbh | Energy storage for Photovoltaikanalage, energy storage power plant, control device and method for operating an energy storage |
| CN106972534B (en) * | 2017-04-28 | 2020-10-30 | 国网山东省电力公司泰安供电公司 | Photovoltaic charging station energy scheduling management method |
| CN109245134B (en) * | 2018-11-14 | 2021-06-18 | 上海交通大学 | Hybrid energy storage scheduling method and system based on virtual fuzzy adaptive control algorithm |
-
2019
- 2019-06-20 CN CN201910536293.8A patent/CN110165692B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN110165692A (en) | 2019-08-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109301849B (en) | Energy management combination control strategy for user-side battery energy storage power station | |
| CN106972534B (en) | Photovoltaic charging station energy scheduling management method | |
| Purvins et al. | Application of battery-based storage systems in household-demand smoothening in electricity-distribution grids | |
| CN110112783B (en) | Photovoltaic storage battery microgrid dispatching control method | |
| CN109217290B (en) | Microgrid energy optimization management method considering electric vehicle charging and discharging | |
| CN112234638B (en) | Power grid peak regulation system and method based on load side intelligent charging pile cluster control | |
| CN110601334B (en) | Charging station and energy dispatching management method thereof | |
| WO2019148689A1 (en) | Grid-connected tie-line power control system of micro-grid and method thereof | |
| CN109103939B (en) | Intelligent control device and method for energy storage system for reducing loss of photovoltaic power station | |
| CN105591406A (en) | Optimization algorithm of micro-grid energy management system based on non-cooperation game | |
| CN202134924U (en) | Structure of multifunctional system of solar power and self use connected grid | |
| CN110350553B (en) | Incoming line power spike suppression method and system based on multi-power regulation technology | |
| CN110165692B (en) | Virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load | |
| CN108493972B (en) | Method for evaluating short-term standby capability of electric automobile | |
| CN102832645A (en) | Power management method of multi-power supply system | |
| CN115713197A (en) | Power system load-storage combined optimization scheduling method considering wind power uncertainty | |
| CN109936151B (en) | Control method for participating in primary frequency modulation of thermal power generating unit through micro-grid system | |
| CN111211569A (en) | Optimal configuration method for flexible load participating in power grid peak shaving | |
| CN104281984A (en) | Power supply method for microgrid economical operation | |
| CN102931676A (en) | Structure and method of solar power grid-connected self-use multifunctional system | |
| CN110826210B (en) | Multi-region building virtual power plant modeling and optimization coordination method based on power interconnection | |
| CN115459348B (en) | Micro-grid optimal resource regulation and control method considering peak-valley electricity price | |
| CN113742933B (en) | Household energy management optimization method, system and storage medium | |
| CN116544991A (en) | Wind power uncertainty-considered wind power and storage combined optimization scheduling method | |
| CN115983890A (en) | SOC (system on chip) offset optimization control method and system of 5G base station 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 |