CN108736499A - Dynamic dispatching distributed energy storage system based on cloud computing - Google Patents
Dynamic dispatching distributed energy storage system based on cloud computing Download PDFInfo
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- CN108736499A CN108736499A CN201810681737.2A CN201810681737A CN108736499A CN 108736499 A CN108736499 A CN 108736499A CN 201810681737 A CN201810681737 A CN 201810681737A CN 108736499 A CN108736499 A CN 108736499A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/613—Cooling or keeping cold
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/60—Heating or cooling; Temperature control
- H01M10/62—Heating or cooling; Temperature control specially adapted for specific applications
- H01M10/627—Stationary installations, e.g. power plant buffering or backup power supplies
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/60—Heating or cooling; Temperature control
- H01M10/65—Means for temperature control structurally associated with the cells
- H01M10/656—Means for temperature control structurally associated with the cells characterised by the type of heat-exchange fluid
- H01M10/6569—Fluids undergoing a liquid-gas phase change or transition, e.g. evaporation or condensation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The dynamic dispatching distributed energy storage system based on cloud computing that the present invention provides a kind of, including：Two-way inversion system, load monitoring terminal, battery management system, energy-storage battery group, electric power data gateway server, data analysis operation unit, user management terminal；The battery management system is connect with energy-storage battery group；The two-way inversion system is connect with energy-storage battery group；The two-way inversion system is connect with external load center；The load monitoring terminal is connect with two-way inversion system；The load monitoring terminal is connect with external load center；The load monitoring terminal is connect with electric power data gateway server, and the electric power data gateway server is connect with data analysis operation unit；The data analysis operation unit is connect with user management terminal, for analysis and processing result to be sent to user management terminal, it is shown and is handled by user management end, include that maximum demand is declared to grid company according to the analysis and processing result of data analysis operation unit.
Description
Technical field
The present invention relates to power management techniques field, more particularly to a kind of dynamic dispatching distributed energy storage based on cloud computing
System.
Background technology
Present industrial electricity charge charging is not to carry out charging according to the number of electricity consumption completely, but be related to electricity
A variety of electricity charge such as the electricity charge, basic charge as per installed capacity and the additional electricity charge are spent, for enterprise, the electricity charge paid are not completely converted into
Electric energy carries out industrial production.
For the electricity charge more reasonably paid using enterprise, need the fluctuation for controlling business electrical, general enterprises that can lead to
Increase energy storage device is crossed to carry out the processing such as peak clipping to power consumption, and this processing is often due to lack to the pre- of future load
Measured data is to be difficult to further decrease the electric cost of enterprise.
Invention content
The application's is designed to provide a kind of dynamic dispatching distributed energy storage system based on cloud computing, can pass through number
It predicts following load data according to statistics, to more reasonably utilize existing energy storage device, reduces the electric cost of enterprise.
To achieve the above object, the application provides a kind of dynamic dispatching distributed energy storage system based on cloud computing, including：
Two-way inversion system, load monitoring terminal, battery management system, energy-storage battery group, electric power data gateway server,
Unit, user management terminal are runed in data analysis；
The battery management system is connect with energy-storage battery group, for being managed to the charge and discharge of energy-storage battery group；
The two-way inversion system is connect with energy-storage battery group, the charge-discharge magnification for controlling energy-storage battery group；
The two-way inversion system is connect with external load center, for carrying out load scheduling to external load center；
The load monitoring terminal is connect with two-way inversion system, and the bidirectional electric energy for two-way inversion system measures；
The load monitoring terminal is connect with external load center, and the real-time load for external load center monitors；
The load monitoring terminal is connect with electric power data gateway server, the electric power data gateway server and data
Analysis operation unit connection, the data for obtaining load monitoring terminal are sent to data by electric power data gateway server
Analysis operation unit carries out analyzing processing according to preset processing rule by data analysis operation unit to the data；
The data analysis operation unit is connect with user management terminal, for analysis and processing result to be sent to user's pipe
Terminal is managed, is shown and is handled by user management end, the processing includes runing the analyzing processing of unit according to data analysis
As a result maximum demand is declared to grid company；
Data analysis operation unit obtain respectively the real-time load at the external load center monitored, energy-storage battery group it is negative
Lotus dispatching, using reduce external load center to the maximum load demand of power grid as target to the load of external load center and
The load scheduling of energy-storage battery group optimizes, and the result of optimization is sent to user management terminal, by user management terminal
The result of optimization is shown and handled, the processing includes declaring maximum demand to grid company according to the result of optimization.
Preferably,
Unit is runed in the data analysis,
It is also connect with weather site by internet, the Weather information for obtaining external load center；
For obtain respectively the load scheduling ability of the real-time load at the external load center monitored, energy-storage battery group with
And the Weather information at external load center, it is negative to outside as target to the maximum load demand of power grid to reduce external load center
The load at lotus center and the load scheduling of energy-storage battery group optimize, and the result of optimization is sent to user management terminal.
Preferably, unit is runed in the data analysis, is set on cloud computing platform, negative to outside in the form of cloud computing
The load at lotus center and the load scheduling of energy-storage battery group optimize.
Preferably,
The user management terminal, including mobile terminal and page end；
The mobile terminal and page end are used to show the result of the optimization；
The mobile terminal is also connect by network with grid company, for being declared most to grid company according to the result of optimization
Big requirement.
A kind of dynamic dispatching distributed energy storage system based on cloud computing provided by the invention, can by data statistics come
It predicts following load data, to more reasonably utilize existing energy storage device, reduces the electric cost of enterprise.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and is obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Description of the drawings
Attached drawing is used to provide further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings：
Fig. 1 is the structural schematic diagram of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention；
Fig. 2 is the structural representation of the dynamic dispatching distributed energy storage system based on cloud computing in another embodiment of the present invention
Figure；
Fig. 3 is the energy-storage battery group structure of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention
Schematic diagram；
Fig. 4 is the condenser tube structure signal of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention
Figure；
Fig. 5 is that the third hatch frame of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention shows
It is intended to；
Fig. 6 is the gas compressor structure of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention
Schematic diagram；
Fig. 7 is the fan group structural representation of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention
Figure；
Fig. 8 is the heat-conducting block structural representation of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention
Figure；
Fig. 9 is that the T-type stop block structure of the dynamic dispatching distributed energy storage system based on cloud computing in the embodiment of the present invention shows
It is intended to.
Specific implementation mode
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred reality described herein
Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
Referring to Fig. 1, the application provides a kind of dynamic dispatching distributed energy storage system based on cloud computing, including：
Two-way inversion system, load monitoring terminal, battery management system, energy-storage battery group, electric power data gateway server,
Unit, user management terminal are runed in data analysis；
The battery management system is connect with energy-storage battery group, for being managed to the charge and discharge of energy-storage battery group；
The two-way inversion system is connect with energy-storage battery group, the charge-discharge magnification for controlling energy-storage battery group；
The two-way inversion system is connect with external load center, for carrying out load scheduling to external load center；
The load monitoring terminal is connect with two-way inversion system, and the bidirectional electric energy for two-way inversion system measures；
The load monitoring terminal is connect with external load center, and the real-time load for external load center monitors；
The load monitoring terminal is connect with electric power data gateway server, the electric power data gateway server and data
Analysis operation unit connection, the data for obtaining load monitoring terminal are sent to data by electric power data gateway server
Analysis operation unit carries out analyzing processing according to preset processing rule by data analysis operation unit to the data；
The data analysis operation unit is connect with user management terminal, for analysis and processing result to be sent to user's pipe
Terminal is managed, is shown and is handled by user management end, the processing includes runing the analyzing processing of unit according to data analysis
As a result maximum demand is declared to grid company；
Data analysis operation unit obtain respectively the real-time load at the external load center monitored, energy-storage battery group it is negative
Lotus dispatching, using reduce external load center to the maximum load demand of power grid as target to the load of external load center and
The load scheduling of energy-storage battery group optimizes, and the result of optimization is sent to user management terminal, by user management terminal
The result of optimization is shown and handled, the processing includes declaring maximum demand to grid company according to the result of optimization.
Unit can be runed by analysis to the real-time load of external load center, the load scheduling ability of energy-storage battery group
Data statistics is carried out to predict following load data, and optimize load (such as common optimization based on probability), root
According to the result of optimization requirement is carried out to declare, so as to more reasonably utilize existing energy storage device, reduce the electricity consumption of enterprise at
This.
Since the power consumption of some enterprises is influenced by weather more apparent, in order to consider such case, avoid to enterprise
The prediction of power consumption there is larger error and cause business electrical cost to increase to influence optimum results, referring to Fig. 2,
In one embodiment of the present of invention, unit is runed in the data analysis,
It is also connect with weather site by internet, the Weather information for obtaining external load center；
For obtain respectively the load scheduling ability of the real-time load at the external load center monitored, energy-storage battery group with
And the Weather information at external load center, it is negative to outside as target to the maximum load demand of power grid to reduce external load center
The load at lotus center and the load scheduling of energy-storage battery group optimize, and the result of optimization is sent to user management terminal.
When business data to be treated is more, stable and efficient data processing method is needed, the one of the present invention
In a embodiment, unit is runed in the data analysis, is set on cloud computing platform, in external load in the form of cloud computing
The load of the heart and the load scheduling of energy-storage battery group optimize.
Declare electricity consumption maximum demand in time in order to facilitate administrative staff, in one embodiment of the invention,
The user management terminal, including mobile terminal and page end；
The mobile terminal and page end are used to show the result of the optimization；
The mobile terminal is also connect by network with grid company, for being declared most to grid company according to the result of optimization
Big requirement.
Since energy-storage battery group is in charge and discharge process, will produce heat, and if the energy-storage battery group it is continuous not between
When disconnected work, because heat caused by charge and discharge can influence the service life of the energy-storage battery group, or even institute can be damaged
The battery core group in energy-storage battery group is stated, or leads to the generation of fire；Such as：Conventional lithium battery operating temperature suggestion is 0~
40 DEG C, the electrolyte in battery core group can be caused unstable if operating ambient temperature is more than 60 DEG C, to influence using effect；Together
Shi Gaowen can cause inside battery material that irreversible chemical reaction occurs, and the service life of battery core group is made to reduce；To avoid temperature
Spend the case where height causes energy-storage battery group service life to reduce, be as preferred technical solution, according to fig. 3 with shown in Fig. 4,
The energy-storage battery group includes shell 1, battery core group 2 and condenser pipe 3, and the battery core group 2 is set as multiple, and is arranged in order and is located at institute
It states in shell, condenser pipe is equipped between battery core group described in adjacent two groups, each described condenser pipe one end is set as inlet 8, separately
One end is set as gas outlet 9, and the left and right sides of the babinet is equipped with input duct 6 and outlet pipe 7, the difference of the inlet 8 one
The one connection input duct 6, the gas outlet 9 is connected to the outlet pipe 7 one by one respectively.The input duct 6 is equipped with the
One opening 4, the outlet pipe are equipped with the second opening 5.
In use, by the way that by refrigerant, by 4 injection input duct 6 of the first opening, refrigerant enters one by one respectively through input duct 6
Inlet 8, the refrigerant becomes gas after the condenser pipe 3 is absorbed heat, then is expelled to outlet pipe through the gas outlet 9
7, most gas is discharged the second opening 5 through the outlet pipe 7 afterwards, thus can be by the heat around the condenser pipe 3 through cold
Matchmaker takes away, and the refrigerant is preferably freon.
To further realize better cooling-down effect, it is as preferred technical solution, according to Fig.5, the condensation
Pipe 3 includes first pipe 11 and second pipe 10, and the second pipe 10 is embedded in the first pipe 11, first pipe
For the water that circulates in road 11, the second pipe 10 is for the refrigerant that circulates.
The condenser pipe 3 is set as the dish configuration being bent back and forth.
Include third pipeline 12 and the 4th pipeline 13, the input duct 6 in the input duct 6 and outlet pipe 7
Interior third pipeline 12 is connected to setting with the second pipe 10.4th pipeline 13 is connected to the first pipe 11 to be set
It sets.For the refrigerant that circulates in the third pipeline 12, the 4th pipeline 12 is for the water that circulates.
To avoid the secondary refrigerant leakage, while to increase refrigeration effect, being as preferred technical solution, according to Fig. 6 institutes
Show, one end of the third pipeline 12 and the 4th pipeline 13 is set as third opening 14, and the other end is set as silent, is located at described
One end of third opening 14, is equipped with gas compressor 15, and the input end 16 of the gas compressor 15 is connected to second opening
5, the outlet end 17 of the gas compressor 15 is connected to first opening 4.
The gas compressor 15 will become liquid again after the gas coolant compression of second opening, 5 outflow, pass through described the
One opening 4 flows into the condenser pipe, and refrigeration effect is realized repeatedly with this.
The gas compressor 15 is set as piston compressor.
To avoid the gas compressor 15 during long-time use, the operating of inner compressor will produce heat,
During long-time use, heat can be accumulated therewith, be impacted to the service life of the gas compressor 15, to extend
The service life of the gas compressor is that according to Fig.7, the gas compressor is arranged as preferred technical solution
In the side of the energy-storage battery group, the other side of the energy-storage battery group is equipped with fan group 18, when the gas compressor exists
When work, the fan group 18 works at the same time, and when the fan group 18 works, is generated by using the fan group 18
Wind, when energy-storage battery group carry out air circulation from top to bottom, meanwhile, the cold wind in energy-storage battery group can be blown to the gas
At compressor, the purpose thus to cool down to gas compressor using cold wind effectively extends the gas compressor
Working time and service life.
The gas compressor is preferably circulated to by the side of the fan group to be further ensured that wind energy is enough, as excellent
The technical solution of choosing is according to Fig.8, heat-conducting block 22, the heat conduction to be equipped between the battery core group 2 and the condenser pipe 3
Block 22 is that the heat carrier of multiple square structures forms, can be rapidly by the temperature conduction of the battery core group 2 by the heat-conducting block 22
To the condenser pipe 3, greatly reinforced heat transfer efficiency, meanwhile, by heat-conducting block 22 can effectively avoid the battery core group 2 with it is described
It is in direct contact between condenser pipe 3, when avoiding the condenser pipe 3 because expanding with heat and contract with cold, the case where causing to squeeze to the battery core group, together
If when reduce the condenser pipe 3 and occur in use after booster splits pipe situation, the feelings that leak damages battery core group 2
Condition.
The case where to avoid the gas of the outlet pipe 7 from being revealed by second opening 5, as preferred skill
Art scheme is that according to Fig.9, the open end of second opening 5 is equipped with boss 19, and the lower section of the boss 19 is equipped with T-type
The protrusion direction of block 21, the T-type block 21 is arranged upward, and the top of the T-type block 21 is equipped with spring 20, the bullet
Side of the spring 20 far from the T-type block 21 is fixed on the boss 19.When generating gas in the third pipeline 12, pipe
Interior air pressure jacks up the T-type block upwards, and the protrusion direction of the T-type block 21 is caught in the opening of the boss 19, you can
The gas in the outlet pipe 7 is avoided to reveal.The boss 19 and the T-type block 21 are set as loop configuration.
Protruding block 23 is equipped between the boss 19, the protruding block 23 is set as loop configuration, and the spring is far from the T
One end of type block is fixedly connected with the bottom of the protruding block 23.
The spring wire outer circumferential of the spring 20 coats resilient material, and the elastic material is preferably flexible silica gel,
By coating flexible silica gel in the spring wire outer circumferential of the spring 20, the leakage problem in outlet pipe 7 is effectively reduced.
A kind of dynamic dispatching distributed energy storage system based on cloud computing provided by the invention, can by data statistics come
It predicts following load data, to more reasonably utilize existing energy storage device, reduces the electric cost of enterprise.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (4)
1. a kind of dynamic dispatching distributed energy storage system based on cloud computing, which is characterized in that including：
Two-way inversion system, load monitoring terminal, battery management system, energy-storage battery group, electric power data gateway server, data
Analysis operation unit, user management terminal；
The battery management system is connect with energy-storage battery group, for being managed to the charge and discharge of energy-storage battery group；
The two-way inversion system is connect with energy-storage battery group, the charge-discharge magnification for controlling energy-storage battery group；
The two-way inversion system is connect with external load center, for carrying out load scheduling to external load center；
The load monitoring terminal is connect with two-way inversion system, and the bidirectional electric energy for two-way inversion system measures；
The load monitoring terminal is connect with external load center, and the real-time load for external load center monitors；
The load monitoring terminal is connect with electric power data gateway server, the electric power data gateway server and data analysis
Unit connection is runed, the data for obtaining load monitoring terminal are sent to data analysis by electric power data gateway server
Unit is runed, analyzing processing is carried out to the data according to preset processing rule by data analysis operation unit；
The data analysis operation unit is connect with user management terminal, for analysis and processing result to be sent to user management end
End, is shown and is handled by user management end, and the processing includes that the analysis and processing result of unit is runed according to data analysis
Maximum demand is declared to grid company；
Data analysis operation unit obtain respectively the real-time load at the external load center monitored, energy-storage battery group load tune
Degree ability, to reduce load and energy storage of the external load center to the maximum load demand of power grid as target to external load center
The load scheduling of battery pack optimizes, and the result of optimization is sent to user management terminal, excellent by user management terminal-pair
The result of change is shown and is handled, and the processing includes declaring maximum demand to grid company according to the result of optimization.
2. system according to claim 1, which is characterized in that
Unit is runed in the data analysis,
It is also connect with weather site by internet, the Weather information for obtaining external load center；
For obtaining the real-time load at the external load center monitored, the load scheduling ability of energy-storage battery group and outer respectively
The Weather information of portion's load center is target in external load to the maximum load demand of power grid to reduce external load center
The load of the heart and the load scheduling of energy-storage battery group optimize, and the result of optimization is sent to user management terminal.
3. system according to claim 2, which is characterized in that unit is runed in the data analysis, and it is flat to be set to cloud computing
On platform, the load scheduling of load and energy-storage battery group in the form of cloud computing to external load center optimizes.
4. system according to claim 3, which is characterized in that
The user management terminal, including mobile terminal and page end；
The mobile terminal and page end are used to show the result of the optimization；
The mobile terminal is also connect by network with grid company, for declaring maximum need to grid company according to the result of optimization
Amount.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114267889A (en) * | 2021-12-28 | 2022-04-01 | 深圳库博能源科技有限公司 | Energy storage system heat management device, control method thereof and energy storage system |
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