CN105914886B - A kind of distributed energy cloud networking intelligent control method and system - Google Patents
A kind of distributed energy cloud networking intelligent control method and system Download PDFInfo
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- CN105914886B CN105914886B CN201610328238.6A CN201610328238A CN105914886B CN 105914886 B CN105914886 B CN 105914886B CN 201610328238 A CN201610328238 A CN 201610328238A CN 105914886 B CN105914886 B CN 105914886B
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000006855 networking Effects 0.000 title abstract description 20
- 238000007600 charging Methods 0.000 claims abstract description 239
- 238000004146 energy storage Methods 0.000 claims abstract description 92
- 230000005611 electricity Effects 0.000 claims abstract description 83
- 238000009826 distribution Methods 0.000 claims abstract description 15
- 238000003780 insertion Methods 0.000 claims abstract description 10
- 230000037431 insertion Effects 0.000 claims abstract description 10
- 238000010248 power generation Methods 0.000 claims description 12
- 230000003993 interaction Effects 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 4
- 230000014759 maintenance of location Effects 0.000 claims 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 8
- 240000002853 Nelumbo nucifera Species 0.000 description 8
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 8
- 230000008901 benefit Effects 0.000 description 5
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- 238000010586 diagram Methods 0.000 description 3
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- 238000001514 detection method Methods 0.000 description 2
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Classifications
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- H02J13/0013—
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
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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
-
- 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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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
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/12—Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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- 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 kind of distributed energy cloud networking intelligent control method and systems, method and step includes: to obtain the best electric price curve, divide the period, distribution energy subnet is contributed or optimal allocation load in optimal allocation in different time periods, for each energy subnet, controls generating equipment and generated electricity according to maximum output, there is charging equipment insertion then to charge to charging equipment in charging pile；Control practical power output and actual load that energy storage device adjusts energy subnet；System includes central schedule decision package, energy cloud networking allocation unit and distributed decision making execution unit.The present invention is based on the controls of the controllable burdens such as energy storage device and charging pile in energy subnet to reduce load excess and power output surplus to realize as unit of energy subnet, achieve the purpose that network load equilibrium, peak load shifting, it can prevent influence of the charging of all kinds of large-scale charging equipments to power grid peak, realize the energy it is efficient/distribute rationally, promoted economic results in society.
Description
Technical field
The present invention relates to power scheduling technologies, and in particular to a kind of distributed energy cloud networking intelligent control method and is
System.
Background technique
Electric power system dispatching is to guarantee power network safety operation, external reliable power supply, the work of all kinds of power generations
A kind of effective management means for orderly carrying out and using.Electric power system dispatching is to provide electric energy by many power plants, by defeated
Electricity, power transformation, distribution, supply network are powered to users, are a complicated systems.Its production, supply and sales process is same in a flash
When complete and balance.Therefore, scheduler task is different from general industrial production scheduling.Electric power system dispatching will keep sending out at any time
The balance of electricity and load, it is desirable that each department in dispatching management scope strictly completes scheduler task by matter according to quantity.
In the process of running, the network load in the time can show the shape of curve to power grid, often in curve
There is load excess in the network load higher period (such as 17:00 ~ 20:30), and when network load is lower in curve
Between section (such as morning 2:00 ~ 5:30) there is load surplus, however whether load excess or load surplus, for power grid
All there is serious harm in safe operation.Therefore, the commercial power that the different periods is on the one hand directed to when dispatching of power netwoks is carried out
The mode that segmentation is negotiated a price, reaching for influencing the electricity consumption period of user by price reduces load excess and load is full of
Remaining purpose.But aforesaid way is still inadequate for reducing load excess and load surplus effect, is not enough to solve the negative of power grid
Lotus equalization problem.
Summary of the invention
The technical problem to be solved in the present invention: it in view of the above problems in the prior art, provides a kind of based in energy subnet
The control of generating equipment, energy storage device and charging pile is full of to realize to reducing load excess and load as unit of energy subnet
It is remaining, achieve the purpose that network load equilibrium, peak load shifting, the charging of all kinds of large-scale charging equipments can be prevented to power grid peak
Influence, realize the energy it is efficient/distribute rationally, promoted economic results in society distributed energy cloud networking intelligent control method and
System.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention are as follows:
A kind of distributed energy cloud networking intelligent control method, step include:
1) superior control centre obtains power output demand, workload demand and the best electric price curve, and the best electric price is bent
Line includes the power output electricity price information and load electricity price information of different time in one day；
2) it was divided into the different periods by 24 hours one day according to according to the best electric price curve, higher level control centre is dispatched
Power output demand, workload demand according to the period distribute to each energy subnet, obtain energy subnet in different time periods
Optimal allocation power output or optimal allocation load, the energy subnet include generating equipment, energy storage device, electrical equipment and charging
Stake；
3) it is directed to each energy subnet, control generating equipment is generated electricity according to maximum output, detects whether charging pile has
Charging equipment insertion, if any charging equipment insertion then in energy subnet nonoverload, according to the low electricity price period it is preferential
Principle distributes the period to charge to the charging equipment for allowing automatic distribution charging time section；
4) in each period, pass through the control storage when the generating equipment power output of energy subnet is less than optimal allocation power output
Energy equipment is discharged, controls energy storage when the sum of the electrical equipment of energy subnet and charging pile load are less than optimal allocation load
Equipment is charged to adjust the practical power output of energy subnet and actual load.
Preferably, the detailed step of the step 4) includes:
4.1) it is directed to each energy subnet in each period, judges optimal allocation power output and optimal allocation load is
No is 0, if optimal allocation power output and optimal allocation load are 0, jump and executes step 4.2)；If optimal allocation load
Non-zero, optimal allocation power output is 0, then jumps and execute step 4.3)；If optimal allocation load is 0, optimal allocation, power output is non-zero,
It jumps and executes step 4.4)；
4.2) judge the generating equipment power output of energy subnet is compared to the sum of the load of electrical equipment and load of charging pile
It is no to have surplus, if there is surplus then selects energy storage device to carry out charging until all energy storage devices are full of；If without surplus and
The generating equipment power output of energy subnet wanes compared to the sum of the load of electrical equipment and load of charging pile, then selects energy storage to set
It is standby to carry out electric discharge until all energy storage device discharge offs；It jumps and executes step 4.1)；
4.3) judge that the sum of electrical equipment and charging pile load of energy subnet current slot is less than optimal allocation load
It is whether true, if the power output electricity price of establishment and current slot is greater than load electricity price, select the energy storage device of energy subnet
Charging is carried out until all energy storage devices are full of；Otherwise, for current slot, the electricity consumption of the electrical equipment of energy subnet is born
Lotus, the maximum charge load of charging pile are used as practical total load in the sum of maximum charge load of energy storage device of charging, will
The generating equipment power output of the electrical equipment of source subnet, in the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the energy
The sum of net capability of subnet is used as practical gross capability；If it is total out that the practical total load of current slot is greater than reality
Power then determines that current slot energy subnet overloads, and energy storage device is selected to carry out electric discharge until all energy storage device discharge offs；
It jumps and executes step 4.1)；
4.4) judge whether the generating equipment power output of energy subnet current slot is true less than optimal allocation power output, if
It sets up and the power output electricity price of current slot is greater than load electricity price, then the energy storage device of energy subnet is selected to carry out electric discharge until institute
There is energy storage device discharge off；Otherwise, the energy storage device of energy subnet is selected to stop electric discharge until generating equipment is contributed and put
The sum of maximum electric discharge load of the energy storage device of electricity is equal to optimal allocation and contributes；It jumps and executes step 4.1).
Preferably, the period is distributed come to automatic point of permission according to low electricity price period preferential principle in the step 3)
The detailed step that charges of charging equipment with charging time section includes:
Whether the charging duration for S1) determining charging equipment allows the interaction of time-sharing charging under overload condition to user's output
Request, and obtain the interaction results of user's selection；
It S2 is) that charging equipment distributes charging time section according to low electricity price period preferential principle；
It S3 is) section of each charging time of charging equipment distribution, by the power load of the electrical equipment of energy subnet, charging
The maximum charge load of stake is used as practical total load in the sum of maximum charge load of energy storage device of charging, by energy subnet
Electrical equipment generating equipment power output, in the maximum electric discharge load of energy storage device of electric discharge, external electrical network to energy subnet
The sum of net capability is used as practical gross capability；If the practical total load of current slot is greater than practical gross capability, sentence
Section energy subnet of fixing time overloads, so that it is determined that the charging equipment for causing energy subnet to overload；
S4 it) is directed to current slot, the power load of the electrical equipment of energy subnet, the maximum charge of charging pile are born
Lotus is used as practical total load in the sum of maximum charge load of energy storage device of charging, by the hair of the electrical equipment of energy subnet
Electric equipment power output, the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the net capability of energy subnet it
With as practical gross capability；If the practical total load of current slot is greater than practical gross capability, current slot energy is determined
The overload of source subnet；If current slot overloads, to the charging equipment for causing energy subnet to overload, allow lower point of overload condition
When the charging equipment that charges carry out time-sharing multiplex charging, adjusting and reducing allows the charging of the charging equipment of time-sharing charging under overload condition to take
Business expense adjusts the charging service expense for the charging equipment for causing energy subnet to overload；Else if current slot does not overload,
Then directly charge to all charging equipments；Finally, stop after the charging duration of charging equipment reaches to charging equipment
It charges.
Preferably, the step S2) detailed step include:
S2.1 charge mode selection request) is exported to the user of charging equipment, charge mode includes instant charge mode, hand
Dynamic reservation protocol and automatic reservation protocol, user select instant charge mode then to jump and execute step S2.2), user's selection is manual
Reservation protocol, which then jumps, executes step S2.3), user selects automatic reservation protocol then to jump and executes step S2.4)；
S2.2) at least one period from now on is selected to set as to charging according to the charging duration of charging equipment
The standby period charged, if the energy subnet electrical equipment and selection all of the period within the period of selection fill
The maximum charge load summation overload of electric equipment then exports overload prompt to user, jumps and executes step S3)；
S2.3 period selection request) is exported to the user of charging equipment, the period that user is selected is as to charging
The period that equipment charges, if the energy subnet electrical equipment and selects all of the period within the period of selection
The maximum charge load summation overload of charging equipment then exports overload prompt to user, jumps and executes step S3)；
S2.4 it) is directed to each period, the power load of the electrical equipment of energy subnet, the maximum charge of charging pile are born
Lotus is used as practical total load in the sum of maximum charge load of energy storage device of charging, by the hair of the electrical equipment of energy subnet
Electric equipment power output, the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the net capability of energy subnet it
With as practical gross capability, practical gross capability is subtracted into practical total load and obtains the power output load difference of energy subnet；First will
Load difference of contributing is used as non-excess load clipping time section greater than 0 period, never according to electricity in excess load clipping time section
The priority level of valence from low to high selects the period as the charging time section for distributing to charging equipment, if the period meets
The charging duration of all charging equipments, which then jumps, executes step S3)；If non-excess load clipping time section is not able to satisfy charging and sets
Standby charging duration or all periods are excess load clipping time section of the load difference less than or equal to 0 of contributing, then from super
Select the period as the charging for distributing to charging equipment according to the priority level of electricity price from low to high in load clipping time section
Period exports the not available prompt of non-excess load clipping time section to user, jumps and execute step S3).
Preferably, the step S2.4) in when exporting the not available prompt of section of non-excess load clipping time to user, also wrap
Include the increase-volume suggestion of output energy subnet.
The present invention also provides a kind of distributed energy cloud networking intelligence control systems, comprising:
Central schedule decision package obtains power output demand, workload demand and the best electric price for superior control centre
Curve, the best electric price curve include the power output electricity price information and load electricity price information of different time in one day；
Energy cloud networking allocation unit, for being divided into the different time for 24 hours one day according to according to the best electric price curve
Power output demand, workload demand needed for the scheduling of higher level control centre are distributed to each energy subnet according to the period, obtained by section
Contribute or optimal allocation load to energy subnet in optimal allocation in different time periods, the energy subnet include generating equipment,
Energy storage device, electrical equipment and charging pile；
Distributed decision making execution unit, for being directed to each energy subnet, control generating equipment is carried out according to maximum output
Power generation, detection charging pile whether have charging equipment insertion, if any charging equipment insertion then in energy subnet nonoverload, press
The period is distributed according to low electricity price period preferential principle to fill to the charging equipment for allowing automatic distribution charging time section
Electricity；In each period, by controlling energy storage device when the generating equipment power output of energy subnet is less than optimal allocation power output
Discharged, the sum of the electrical equipment of energy subnet and charging pile load be less than optimal allocation load when control energy storage device into
Row charges to adjust the practical power output and actual load of energy subnet.
The present invention has an advantage that
1, the present invention divides the period according to according to the best electric price curve, and power output needed for the scheduling of higher level control centre is needed
Ask, workload demand according to the period distributes to each energy subnet, realize by with electric power networks (energy, the energy) and
The intelligent distributed energy demand end of internet (information, data) connection, supply side carry out the interconnecting of energy and signal,
Organic matching, response Real-Time Scheduling instruction (or electricity price curve), based on generating equipment, energy storage device and charging pile in energy subnet
The control of controllable burdens is waited to realize to load excess and load surplus is reduced as unit of energy subnet, realizes the height of the energy
It imitates/distributes rationally, can achieve the purpose that network load equilibrium, peak load shifting, promote economic results in society.
2, the present invention obtains the best electric price curve as level-one using superior control centre, divides period and best point of distribution
It is second level, control power generation, charging equipment charging and the charge and discharge of energy storage device with power output or optimal allocation load
For three-level, the distributed energy cloud networking Intelligent Control Strategy of three-level is formed, so as to flexibly and easily realize with energy
Net is the distributed energy cloud networking intelligent control of unit, can conveniently and efficiently realize the regional agency formula manager of electric energy
Formula.
3, the present invention according to electricity price will be divided into different time sections, by power output demand needed for the scheduling of higher level control centre,
Workload demand distributes to each energy subnet according to the period, obtains energy subnet and contributes in optimal allocation in different time periods
Or optimal allocation load, then as unit of the period and in load limit to generating equipment, energy storage device and charging pile into
Row integrated dispatch can achieve the purpose that network load equilibrium, peak load shifting, can prevent the charging of all kinds of large-scale charging equipments
Influence to power grid peak.
Detailed description of the invention
Fig. 1 is the flow diagram of present invention method.
Fig. 2 is the flow diagram of present invention method step 4).
Fig. 3 is the structural schematic diagram of system of the embodiment of the present invention.
Specific embodiment
As shown in Figure 1, the present embodiment distributed energy cloud is networked, the step of intelligent control method, includes:
1) superior control centre obtains power output demand, workload demand and the best electric price curve, and the best electric price is bent
Line includes the power output electricity price information and load electricity price information of different time in one day；
2) it was divided into the different periods by 24 hours one day according to according to the best electric price curve, higher level control centre is dispatched
Power output demand, workload demand according to the period distribute to each energy subnet, obtain energy subnet in different time periods
Optimal allocation power output or optimal allocation load, the energy subnet include generating equipment, energy storage device, electrical equipment and charging
Stake；
3) it is directed to each energy subnet, control generating equipment is generated electricity according to maximum output, detects whether charging pile has
Charging equipment insertion, if any charging equipment insertion then in energy subnet nonoverload, according to the low electricity price period it is preferential
Principle distributes the period to charge to the charging equipment for allowing automatic distribution charging time section；
4) in each period, pass through the control storage when the generating equipment power output of energy subnet is less than optimal allocation power output
Energy equipment is discharged, controls energy storage when the sum of the electrical equipment of energy subnet and charging pile load are less than optimal allocation load
Equipment is charged to adjust the practical power output of energy subnet and actual load.
The present embodiment obtains the best electric price curve as level-one using superior control centre, divides period and best point of distribution
It is second level, control power generation, charging equipment charging and the charge and discharge of energy storage device with power output or optimal allocation load
For three-level, the distributed energy cloud networking Intelligent Control Strategy of three-level is formed, and in each period, by energy
Net generating equipment power output be less than optimal allocation power output when control energy storage device discharged, energy subnet electrical equipment and
Control energy storage device is charged to adjust the practical power output of the energy subnet when the sum of charging pile load is less than optimal allocation load
And actual load, by with the intelligent distributed energy of electric power networks (energy, the energy) and internet (information, data) connection
Source demand end, supply side carry out the interconnecting of energy and signal, organic matching, the instruction of response Real-Time Scheduling (or electricity price is bent
Line), it is realized based on the control of energy subnet to load excess and load surplus is reduced as unit of energy subnet, responds higher level
Control centre scheduling needed for power output demand, workload demand, realize the energy it is efficient/distribute rationally, promoted economic results in society,
And integrated dispatch is carried out as unit of the period, it can achieve the purpose that network load equilibrium, peak load shifting, can prevent each
Influence of the charging of class large size charging equipment to power grid peak.
In the present embodiment, the period is distributed come to automatic point of permission according to low electricity price period preferential principle in step 3)
The detailed step that charges of charging equipment with charging time section includes:
Whether the charging duration for S1) determining charging equipment allows the interaction of time-sharing charging under overload condition to user's output
Request, and obtain the interaction results of user's selection；
It S2 is) that charging equipment distributes charging time section according to low electricity price period preferential principle；
It S3 is) section of each charging time of charging equipment distribution, by the power load of the electrical equipment of energy subnet, charging
The maximum charge load of stake is used as practical total load in the sum of maximum charge load of energy storage device of charging, by energy subnet
Electrical equipment generating equipment power output, in the maximum electric discharge load of energy storage device of electric discharge, external electrical network to energy subnet
The sum of net capability is used as practical gross capability；If the practical total load of current slot is greater than practical gross capability, sentence
Section energy subnet of fixing time overloads, so that it is determined that the charging equipment for causing energy subnet to overload；
S4 it) is directed to current slot, the power load of the electrical equipment of energy subnet, the maximum charge of charging pile are born
Lotus is used as practical total load in the sum of maximum charge load of energy storage device of charging, by the hair of the electrical equipment of energy subnet
Electric equipment power output, the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the net capability of energy subnet it
With as practical gross capability；If the practical total load of current slot is greater than practical gross capability, current slot energy is determined
The overload of source subnet；If current slot overloads, to the charging equipment for causing energy subnet to overload, allow lower point of overload condition
When the charging equipment that charges carry out time-sharing multiplex charging, adjusting and reducing allows the charging of the charging equipment of time-sharing charging under overload condition to take
Business expense adjusts the charging service expense for the charging equipment for causing energy subnet to overload；Else if current slot does not overload,
Then directly charge to all charging equipments；Finally, stop after the charging duration of charging equipment reaches to charging equipment
It charges.
The present embodiment S1 through the above steps)~S3), realize and all charging equipments filled in load limit
Electricity, therefore the quantity of charging equipment can be effectively prevent to the influence of network load, it is balanced, peak load shifting to reach network load
Purpose, and if maximum charge load summation be greater than load limit, by the way of timesharing to all charging equipments into
Row charging so that current slot any moment all charging equipments maximum charge load summation be no more than load limit, can
It can be realized the charging of more charging equipments under limited load limit, to provide under the premise of limited resources better
Charging ability.
In the present embodiment, step S2) detailed step include:
S2.1 charge mode selection request) is exported to the user of charging equipment, charge mode includes instant charge mode, hand
Dynamic reservation protocol and automatic reservation protocol, user select instant charge mode then to jump and execute step S2.2), user's selection is manual
Reservation protocol, which then jumps, executes step S2.3), user selects automatic reservation protocol then to jump and executes step S2.4)；
S2.2) at least one period from now on is selected to set as to charging according to the charging duration of charging equipment
The standby period charged, if the energy subnet electrical equipment and selection all of the period within the period of selection fill
The maximum charge load summation overload of electric equipment then exports overload prompt to user, jumps and executes step S3)；
S2.3 period selection request) is exported to the user of charging equipment, the period that user is selected is as to charging
The period that equipment charges, if the energy subnet electrical equipment and selects all of the period within the period of selection
The maximum charge load summation overload of charging equipment then exports overload prompt to user, jumps and executes step S3)；
S2.4 it) is directed to each period, the power load of the electrical equipment of energy subnet, the maximum charge of charging pile are born
Lotus is used as practical total load in the sum of maximum charge load of energy storage device of charging, by the hair of the electrical equipment of energy subnet
Electric equipment power output, the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the net capability of energy subnet it
With as practical gross capability, practical gross capability is subtracted into practical total load and obtains the power output load difference of energy subnet；First will
Load difference of contributing is used as non-excess load clipping time section greater than 0 period, never according to electricity in excess load clipping time section
The priority level of valence from low to high selects the period as the charging time section for distributing to charging equipment, if the period meets
The charging duration of all charging equipments, which then jumps, executes step S3)；If non-excess load clipping time section is not able to satisfy charging and sets
Standby charging duration or all periods are excess load clipping time section of the load difference less than or equal to 0 of contributing, then from super
Select the period as the charging for distributing to charging equipment according to the priority level of electricity price from low to high in load clipping time section
Period exports the not available prompt of non-excess load clipping time section to user, jumps and execute step S3).
S2.1 through the above steps)~S2.4), realize instant charge mode, manual reservation protocol, automatic reservation protocol
The period selection strategy of Three models, so as to realize quick charge (instant charge mode), on demand charging (reservation manually
Mode) and using the network minimal that charges as the charging (automatic reservation protocol) of target, and also user can be under manual reservation protocol
Voluntarily selection electricity price lower period, automatic reservation protocol can first never in excess load clipping time section according to electricity price from low
The period is selected to high priority level, integrated dispatch is carried out as unit of the period, network load equilibrium, peak clipping can be reached
Valley-fill purpose can prevent influence of the charging of all kinds of large-scale charging equipments to power grid peak.The present embodiment above-mentioned steps
S2.4 in), the charging of which electric car will be specified just to be evolved into and solve 0-1 knapsack problem, first work as certain electricity with principle according to arriving first
After electrical automobile plugs charging gun, platform charge it is presetting, if select automatic reservation protocol, according to gradually retrodicting
Method is distributed the period for it, when selecting never in excess load clipping time section according to the priority level of electricity price from low to high first
Between section, according to the best electric price section, suboptimum electricity price section, par section, punishment electricity price section distribute the period, if not super negative
Lotus clipping time section is not able to satisfy the charging duration of all charging equipments or all periods are excess load clipping time section, then
The period is selected according to the priority level of electricity price from low to high from excess load clipping time section, therefore can be filled guaranteeing user
Achieve the purpose that network load equilibrium, peak load shifting on the basis of electricity, prevents the charging of all kinds of large-scale charging equipments to power grid height
The influence at peak.In the present embodiment, step S2.4) in when exporting the non-not available prompt of excess load clipping time section to user, also
Increase-volume suggestion including exporting energy subnet.
As shown in Fig. 2, the detailed step of the present embodiment step 4) includes:
4.1) it is directed to each energy subnet in each period, judges optimal allocation power output and optimal allocation load is
No is 0, if optimal allocation power output and optimal allocation load are 0, jump and executes step 4.2)；If optimal allocation load
Non-zero, optimal allocation power output is 0, then jumps and execute step 4.3)；If optimal allocation load is 0, optimal allocation, power output is non-zero,
It jumps and executes step 4.4)；
4.2) judge the generating equipment power output of energy subnet is compared to the sum of the load of electrical equipment and load of charging pile
It is no to have surplus, if there is surplus then selects energy storage device to carry out charging until all energy storage devices are full of；If without surplus and
The generating equipment power output of energy subnet wanes compared to the sum of the load of electrical equipment and load of charging pile, then selects energy storage to set
It is standby to carry out electric discharge until all energy storage device discharge offs；It jumps and executes step 4.1)；
4.3) judge that the sum of electrical equipment and charging pile load of energy subnet current slot is less than optimal allocation load
It is whether true, if the power output electricity price of establishment and current slot is greater than load electricity price, select the energy storage device of energy subnet
Charging is carried out until all energy storage devices are full of；Otherwise, for current slot, the electricity consumption of the electrical equipment of energy subnet is born
Lotus, the maximum charge load of charging pile are used as practical total load in the sum of maximum charge load of energy storage device of charging, will
The generating equipment power output of the electrical equipment of source subnet, in the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the energy
The sum of net capability of subnet is used as practical gross capability；If it is total out that the practical total load of current slot is greater than reality
Power then determines that current slot energy subnet overloads, and energy storage device is selected to carry out electric discharge until all energy storage device discharge offs；
It jumps and executes step 4.1)；
4.4) judge whether the generating equipment power output of energy subnet current slot is true less than optimal allocation power output, if
It sets up and the power output electricity price of current slot is greater than load electricity price, then the energy storage device of energy subnet is selected to carry out electric discharge until institute
There is energy storage device discharge off；Otherwise, the energy storage device of energy subnet is selected to stop electric discharge until generating equipment is contributed and put
The sum of maximum electric discharge load of the energy storage device of electricity is equal to optimal allocation and contributes；It jumps and executes step 4.1).
As shown in figure 3, the distributed energy cloud networking intelligence control system of the present embodiment includes:
Central schedule decision package obtains power output demand, workload demand and the best electric price for superior control centre
Curve, the best electric price curve include the power output electricity price information and load electricity price information of different time in one day；
Energy cloud networking allocation unit, for being divided into the different time for 24 hours one day according to according to the best electric price curve
Power output demand, workload demand needed for the scheduling of higher level control centre are distributed to each energy subnet according to the period, obtained by section
Contribute or optimal allocation load to energy subnet in optimal allocation in different time periods, the energy subnet include generating equipment,
Energy storage device, electrical equipment and charging pile；
Distributed decision making execution unit, for being directed to each energy subnet, control generating equipment is carried out according to maximum output
Power generation, detection charging pile whether have charging equipment insertion, if any charging equipment insertion then in energy subnet nonoverload, press
The period is distributed according to low electricity price period preferential principle to fill to the charging equipment for allowing automatic distribution charging time section
Electricity；In each period, by controlling energy storage device when the generating equipment power output of energy subnet is less than optimal allocation power output
Discharged, the sum of the electrical equipment of energy subnet and charging pile load be less than optimal allocation load when control energy storage device into
Row charges to adjust the practical power output and actual load of energy subnet
The present embodiment be positioned at response higher level control centre (provincial dispatching center) instruction intermediate operator and specifically
Executing agency, be divided into central schedule decision package, the energy cloud networking allocation unit, distributed decision making execution unit three constitute
The energy source that information terminal and generating equipment, energy storage device and charging pile and user are constituted.The energy cloud networking point of information terminal
The massive informations treatment in situ such as people-vehicle-load-power generation are saved with unit, distributed decision making execution unit, by big data and
The life and use, hair energy characteristic of different power consumers and generating equipment are analyzed in cloud computing, and the core datas such as load limit are long-range
It is sent to central schedule decision package, to subdispatch center (provincial dispatching center) after counting so as to central schedule decision package
Load limit is declared, to realize the interaction with subdispatch center (provincial dispatching center) and obtain preferential electricity price.The energy
Then realize that central schedule decision package can be pre- according to Network congestion, sensitivity analysis, load by quantity of electricity on-site elimination in end
Survey, electricity price curve etc. issue dispatch command, under the premise of power network security operation, are preferentially dissolved with clean energy resource, power generation-use
Can the overall economic benefits such as maximization of economic benefit be target, optimal control production capacity, with energy, energy storage overall process.Central schedule is determined
When plan unit determines load limit and electricity price, can according to need selection following manner: (1) platform calculates decision: cloud networking
Platform is calculated according to short-term load forecasting in conjunction with optimal load flow and sensitivity analysis, and section is obstructed or is limited in identification, issues electricity consumption
Instruction is cut-off in mode or energy storage-power generation.Platform generally needs electrical network parameter, in real time power output and power load, history number from host computer
According to etc. information, general platform be difficult to meet this function, it is provincial region power-management centre which, which is generally at least,.
(2) platform obtains scheduling decision: platform interconnects with provincial dispatching center, directly acquires electricity consumption, the storage of control centre's publication
Electricity etc. can be forwarded to instruct, equipment and user by scanning access this cloud networked platforms are declared load limit to control centre, obtained
Take license and preferential electricity price.(3) given load limit determines electricity price according to electricity price curve.Energy cloud network allocation unit according to
The resource (power generation, energy storage and electrical equipment) of determining load limit, electricity price access cloud networking, by hair and energy storage information
It distributes to different energy sources subnet.Distributed decision making execution unit receives the specified load limit of energy cloud networking allocation unit, root
According to the resource that this energy subnet accesses, power generation-energy storage-electricity consumption (charging) instruction is issued.If energy during generating equipment power output
Enough meet actual load and have load surplus, then energy storage instruction is issued, if issuing electricity consumption it is impossible to meet actual load
(charging) instruction.
In the present embodiment, energy subnet includes generating equipment, energy storage device, electrical equipment and charging pile；Generating equipment can
To select photo-voltaic power generation station, wind power station etc., in generated output, generating equipment generates electricity according to maximum output；Energy storage device can select
Pump-up power station, super capacitor, battery etc. are selected, for the difference (surplus between the power output and actual load according to energy subnet
Load), difference (wane load) the control energy storage between actual load and the power output of energy subnet, power generation conversion.Charging pile
For charging to the big batteries such as electric car capacity electric vehicles/electric tool.
Further include information advance notice unit in the present embodiment, for issuing the suggestion of optimal charging (electricity consumption) to user, especially to
It is often issued in the user that heavy duty zone, obstruction, heavy load region are charged and staggers the time, misplaces to charge and suggest, improved efficiency.
In conclusion the present embodiment constitutes the distributed energy cloud networked system using energy subnet as node, formed
One micro- energy cloud networking node containing distributed photovoltaic power generation, intelligent charging spot, power battery energy storage, according to the best electric price song
It line and charging equipment acceptable charging time (input), (maximally utilizes photovoltaic to fill by target of electricity price profit maximization
Electricity utilizes alternating current on a small quantity), the energy storage and charging process of energy storage device are controlled, while responding emergency management and rescue demand.The present embodiment will
By with the intelligent distributed energy demand end of electric power networks (energy, the energy) and internet (information, data) connection, confession
The interconnecting of energy and signal, organic matching are carried out to end, response Real-Time Scheduling instruction (or electricity price curve) participates in intelligence electricity
The quantity of electricity of net is traded, peak load shifting, reach the energy it is efficient, distribute rationally, objective economic benefit can not only be brought, together
When good user experience and social education, user can also be brought to cultivate benefit.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (4)
- The intelligent control method 1. a kind of distributed energy cloud is networked, it is characterised in that step includes:1) superior control centre obtains power output demand, workload demand and the best electric price curve, the best electric price curve packet Include the power output electricity price information and load electricity price information of different time in one day；2) it was divided into the different periods by 24 hours one day according to according to the best electric price curve, gone out what higher level control centre was dispatched Power demand, workload demand distribute to each energy subnet according to the period, obtain energy subnet in different time periods best Distribution power output or optimal allocation load, the energy subnet include generating equipment, energy storage device, electrical equipment and charging pile；3) it is directed to each energy subnet, control generating equipment is generated electricity according to maximum output, detects whether charging pile has charging Equipment insertion is inserted into then in energy subnet nonoverload, according to low electricity price period preferential principle if any charging equipment The distribution period charges to the charging equipment for allowing automatic distribution charging time section；4) it in each period, is set by controlling energy storage when the generating equipment power output of energy subnet is less than optimal allocation power output It is standby to be discharged, control energy storage device when the sum of the electrical equipment of energy subnet and charging pile load are less than optimal allocation load It is charged to adjust the practical power output of energy subnet and actual load；The detailed step of the step 4) includes:4.1) each period be directed to each energy subnet, judge optimal allocation power output and optimal allocation load whether be 0, if optimal allocation power output and optimal allocation load are 0, jump and execute step 4.2)；If optimal allocation load is non-zero, Optimal allocation power output is 0, then jumps and execute step 4.3)；If optimal allocation load is 0, optimal allocation, power output is non-zero, jumps Execute step 4.4)；4.2) judge whether the generating equipment power output of energy subnet has compared to the sum of the load of electrical equipment and load of charging pile Surplus, if there is surplus then selects energy storage device to carry out charging until all energy storage devices are full of；If without surplus and the energy The generating equipment power output of subnet wanes compared to the load and the sum of load of charging pile of electrical equipment, then select energy storage device into Row electric discharge is until all energy storage device discharge offs；It jumps and executes step 4.1)；4.3) judge whether the sum of electrical equipment and charging pile load of energy subnet current slot is less than optimal allocation load It sets up, if the power output electricity price of establishment and current slot is greater than load electricity price, the energy storage device of energy subnet is selected to carry out Charging is until all energy storage devices are full of；Otherwise, for current slot, by the power load of the electrical equipment of energy subnet, The maximum charge load of charging pile is used as practical total load in the sum of maximum charge load of energy storage device of charging, by the energy The generating equipment power output of the electrical equipment of subnet, in the maximum electric discharge load of energy storage device of electric discharge, external electrical network to energy The sum of net capability of net is used as practical gross capability；If the practical total load of current slot is greater than practical gross capability, Then determine that current slot energy subnet overloads, energy storage device is selected to carry out electric discharge until all energy storage device discharge offs；It jumps Turn to execute step 4.1)；4.4) judge whether the generating equipment power output of energy subnet current slot is less than optimal allocation power output true, if set up And the power output electricity price of current slot is greater than load electricity price, then the energy storage device of energy subnet is selected to carry out electric discharge until all storages It can equipment discharge off；Otherwise, the energy storage device of energy subnet is selected to stop electric discharge until generating equipment contributes and in electric discharge The sum of maximum electric discharge load of energy storage device is equal to optimal allocation and contributes；It jumps and executes step 4.1).
- The intelligent control method 2. distributed energy cloud according to claim 1 is networked, which is characterized in that in the step 3) The period is distributed according to low electricity price period preferential principle to carry out to the charging equipment for allowing automatic distribution charging time section The detailed step of charging includes:Whether the charging duration for S1) determining charging equipment allows the interaction request of time-sharing charging under overload condition to user's output, And obtain the interaction results of user's selection；It S2 is) that charging equipment distributes charging time section according to low electricity price period preferential principle；It S3 is) section of each charging time of charging equipment distribution, by the power load of the electrical equipment of energy subnet, charging pile Maximum charge load is used as practical total load in the sum of maximum charge load of energy storage device of charging, by the use of energy subnet The generating equipment power output of electric equipment, in the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the maximum of energy subnet The sum of power supply capacity is used as practical gross capability；If the practical total load of current slot is greater than practical gross capability, when determining Between section energy subnet overload, so that it is determined that cause energy subnet overload charging equipment；S4) be directed to current slot, by the power load of the electrical equipment of energy subnet, charging pile maximum charge load, The sum of maximum charge load of the energy storage device of charging is used as practical total load, by the generating equipment of the electrical equipment of energy subnet Power output, in the maximum electric discharge load of energy storage device of electric discharge, external electrical network to the conduct of the sum of the net capability of energy subnet Practical gross capability；If the practical total load of current slot is greater than practical gross capability, current slot energy subnet is determined Overload；If current slot overloads, to the charging equipment for causing energy subnet to overload, allow time-sharing charging under overload condition Charging equipment carry out time-sharing multiplex charging, adjust and reduce allow overload condition under time-sharing charging charging equipment charging service expense With, adjust cause energy subnet overload charging equipment charging service expense；Else if current slot does not overload, then directly It connects and charges to all charging equipments；Finally, stop carrying out charging equipment after the charging duration of charging equipment reaches Charging.
- The intelligent control method 3. distributed energy cloud according to claim 2 is networked, which is characterized in that the step S2) Detailed step include:S2.1 charge mode selection request) is exported to the user of charging equipment, and charge mode includes instant charge mode, pre- manually About mode and automatic reservation protocol, user select instant charge mode then to jump and execute step S2.2), user's selection reservation manually Mode, which then jumps, executes step S2.3), user selects automatic reservation protocol then to jump and executes step S2.4)；S2.2) according to the charging duration of charging equipment select at least one period from now on as to charging equipment into The period of row charging, if all chargings of electrical equipment and the selection period within the period of selection of energy subnet are set Standby maximum charge load summation overload then exports overload prompt to user, jumps and executes step S3)；S2.3 period selection request) is exported to the user of charging equipment, the period that user is selected is as to charging equipment The period charged, if all chargings of the energy subnet electrical equipment and the selection period within the period of selection The maximum charge load summation overload of equipment then exports overload prompt to user, jumps and executes step S3)；S2.4) be directed to each period, by the power load of the electrical equipment of energy subnet, charging pile maximum charge load, It is used as practical total load in the sum of maximum charge load of energy storage device of charging, the power generation of the electrical equipment of energy subnet is set Standby power output makees the sum of net capability of energy subnet in the maximum electric discharge load of energy storage device of electric discharge, external electrical network For practical gross capability, practical gross capability is subtracted into practical total load and obtains the power output load difference of energy subnet；It first will power output Period of the load difference greater than 0 as non-excess load clipping time section, never in excess load clipping time section according to electricity price from Low to high priority level selects the period as the charging time section for distributing to charging equipment, owns if the period meets The charging duration of charging equipment, which then jumps, executes step S3)；If non-excess load clipping time section is not able to satisfy charging equipment Charging duration or all periods are excess load clipping time section of the load difference less than or equal to 0 of contributing, then from excess load Select the period as the charging time for distributing to charging equipment according to the priority level of electricity price from low to high in clipping time section Section exports the not available prompt of non-excess load clipping time section to user, jumps and execute step S3).
- The intelligent control method 4. distributed energy cloud according to claim 3 is networked, which is characterized in that the step It further include exporting the increase-volume of energy subnet to build when exporting the not available prompt of section of non-excess load clipping time to user in S2.4) View.
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| CN106786773B (en) * | 2017-02-10 | 2019-08-13 | 上海极熵数据科技有限公司 | A kind of distributed power grid system |
| CN107734020B (en) * | 2017-09-30 | 2020-07-07 | 国网青海省电力公司 | Coordinated operation method for data transmission congestion of multiple photovoltaic power stations |
| CN109017368A (en) * | 2018-07-13 | 2018-12-18 | 彭鸿泽 | A kind of energy storage method and energy-storage system of shared distance increasing unit |
| CN113837417A (en) * | 2020-06-08 | 2021-12-24 | 中合智腾建设有限公司 | Photovoltaic power distribution scheduling optimization method and system |
| CN111950804B (en) * | 2020-08-25 | 2022-12-30 | 国家电网有限公司 | Power grid management method and system for cross-regional intelligent electric energy distribution |
| CN113422390B (en) * | 2021-08-24 | 2021-11-16 | 中国人民解放军国防科技大学 | Zero-carbon 5G mobile communication base station power supply method, system, equipment and storage medium |
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