CN113241806A - Micro-grid charging scheduling method and device - Google Patents
Micro-grid charging scheduling method and device Download PDFInfo
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- CN113241806A CN113241806A CN202110657062.XA CN202110657062A CN113241806A CN 113241806 A CN113241806 A CN 113241806A CN 202110657062 A CN202110657062 A CN 202110657062A CN 113241806 A CN113241806 A CN 113241806A
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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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/14—Plug-in electric vehicles
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Abstract
The application discloses a microgrid charging scheduling method and device, and the method comprises the following steps: receiving charging inquiry information sent by a user terminal, wherein the charging inquiry information comprises an expected charging position, charging equipment parameters, a charging amount, a minimum electric quantity threshold value and expected charging time; inquiring a microgrid meeting preset charging conditions according to the expected charging position based on a preset distance range, wherein the preset charging conditions comprise charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions; calculating an actual line distance between each microgrid and a desired charging location; and selecting a preset number of micro-grids from the actual line distances after the ascending sequence arrangement operation to generate a charging recommendation table. The method and the device solve the problem that the charging requirement of the existing electric vehicle cannot be met due to shortage of the charging pile, and inconvenience is brought to users in using the electric vehicle; and the existing micro power supply can not be fully utilized, and the technical problem of public resource waste exists.
Description
Technical Field
The application relates to the technical field of power dispatching, in particular to a micro-grid charging dispatching method and device.
Background
At present, with the popularization of a large number of electric vehicles such as electric bicycles and electric automobiles, a corresponding charging pile is urgently needed to meet the charging requirement. However, a lot of fields and pre-buried commercial power lines are needed for building the charging pile, the construction cost is high, and the charging pile is usually arranged in a city with dense personnel, so that the driving range of the electric vehicle is limited.
With the development of new energy, micro power sources for generating electricity through wind energy, solar energy or biological energy, such as household wind generators, photovoltaic power generation panels, small hydropower stations or wind-solar hybrid street lamps, are built in many areas. When sunlight and wind energy are full, the power generated by the micro power supply is wasted because the power cannot be fully utilized.
Disclosure of Invention
The application provides a microgrid charging scheduling method and device, which are used for solving the problem that the existing electric vehicle cannot meet the charging requirement due to shortage of charging piles, and inconvenience is brought to users in using the electric vehicle; and the existing micro power supply can not be fully utilized, and the technical problem of public resource waste exists.
In view of this, a first aspect of the present application provides a microgrid charging scheduling method, including:
receiving charging inquiry information sent by a user terminal, wherein the charging inquiry information comprises an expected charging position, charging equipment parameters, a charging amount, a minimum electric quantity threshold value and expected charging time;
inquiring a microgrid meeting preset charging conditions according to the expected charging position based on a preset distance range, wherein the preset charging conditions comprise charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions;
calculating an actual line distance between each of the micro-grids and the desired charging location;
and selecting a preset number of micro-grids from the actual line distances after the ascending sequence arrangement operation to generate a charging recommendation table.
Preferably, when the preset charging condition is the charging device condition, the querying, based on the preset distance range, for the microgrid meeting the preset charging condition according to the expected charging position includes:
and selecting a microgrid with candidate charging equipment parameters within the charging equipment condition range according to the charging equipment parameters within a preset distance range, wherein the charging equipment parameters comprise input voltage, input power and input current.
Preferably, when the preset charging condition is the charging capacity condition, the querying, based on the preset distance range, for the microgrid meeting the preset charging condition according to the expected charging position includes:
and selecting a microgrid with the capacitance of the candidate charging equipment meeting the charging capacity condition according to the charging quantity within a preset distance range, wherein the charging quantity is the difference between the expected electric quantity value and the current electric quantity value of the electric equipment.
Preferably, when the preset charging condition is the charging threshold condition, the querying, based on the preset distance range, for the microgrid meeting the preset charging condition according to the expected charging position includes:
acquiring the electric quantity limit value of the microgrid according to preset battery parameters;
and selecting the microgrid with the electric quantity limit value of the candidate charging equipment within the charging threshold condition range according to the minimum electric quantity threshold within a preset distance range.
Preferably, when the preset charging condition is the charging duration condition, the querying, based on the preset distance range, for the microgrid meeting the preset charging condition according to the expected charging position includes:
calculating the predicted charging time for charging the micro-grid to reach the charging amount according to the preset battery parameters;
and selecting the microgrid with the predicted charging time length smaller than the expected charging time length within a preset distance range.
This application second aspect provides a little electric wire netting scheduling device that charges, includes:
the charging system comprises a receiving module, a charging module and a charging module, wherein the receiving module is used for receiving charging inquiry information sent by a user terminal, and the charging inquiry information comprises an expected charging position, charging equipment parameters, a charging amount, a minimum electric quantity threshold and an expected charging time;
the query module is used for querying a microgrid meeting preset charging conditions according to the expected charging position based on a preset distance range, wherein the preset charging conditions comprise charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions;
a calculation module for calculating an actual line distance between each of the micro grids and the desired charging location;
and the recommending module is used for selecting a preset number of micro-grids from the actual line distances after the ascending sequence arranging operation to generate a charging recommending table.
Preferably, when the preset charging condition is the charging device condition, the query module is specifically configured to:
and selecting a microgrid with candidate charging equipment parameters within the charging equipment condition range according to the charging equipment parameters within a preset distance range, wherein the charging equipment parameters comprise input voltage, input power and input current.
Preferably, when the preset charging condition is the charging capacity condition, the query module is specifically configured to:
and selecting a microgrid with the capacitance of the candidate charging equipment meeting the charging capacity condition according to the charging quantity within a preset distance range, wherein the charging quantity is the difference between the expected electric quantity value and the current electric quantity value of the electric equipment.
Preferably, when the preset charging condition is the charging threshold condition, the query module is specifically configured to:
acquiring the electric quantity limit value of the microgrid according to preset battery parameters;
and selecting the microgrid with the electric quantity limit value of the candidate charging equipment within the charging threshold condition range according to the minimum electric quantity threshold within a preset distance range.
Preferably, when the preset charging condition is the charging duration condition, the query module is specifically configured to:
calculating the predicted charging time for charging the micro-grid to reach the charging amount according to the preset battery parameters;
and selecting the microgrid with the predicted charging time length smaller than the expected charging time length within a preset distance range.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides a microgrid charging scheduling method, which comprises the following steps: receiving charging inquiry information sent by a user terminal, wherein the charging inquiry information comprises an expected charging position, charging equipment parameters, a charging amount, a minimum electric quantity threshold value and expected charging time; inquiring a microgrid meeting preset charging conditions according to the expected charging position based on a preset distance range, wherein the preset charging conditions comprise charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions; calculating an actual line distance between each microgrid and a desired charging location; and selecting a preset number of micro-grids from the actual line distances after the ascending sequence arrangement operation to generate a charging recommendation table.
According to the microgrid charging scheduling method, the charging query information of the user terminal is obtained, so that the charging requirements of the user, namely specific expected charging parameters and expected charging positions are determined, then the microgrid within a preset distance range is subjected to unified screening query, the microgrid meeting preset charging conditions is found and recommended to the user, the user can finish a charging task as soon as possible, the charging experience of the user can be improved, and resources of the microgrid can be fully utilized. Therefore, the problem that the charging requirement of the conventional electric vehicle cannot be met due to shortage of the charging pile can be solved, and inconvenience is brought to users in using the electric vehicle; and the existing micro power supply can not be fully utilized, and the technical problem of public resource waste exists.
Drawings
Fig. 1 is a schematic flowchart of a charging scheduling method for a microgrid according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a microgrid charging scheduling apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
For convenience of understanding, referring to fig. 1, an embodiment of a microgrid charging scheduling method provided in the present application includes:
The user sends charging query information to the master station or the scheduling center through the intelligent terminal, wherein the charging query information comprises specific charging demand information of the user, such as an expected charging position. The charging equipment parameters refer to equipment parameters of a micro power supply in the micro power grid, such as current, voltage and other information, and whether the required value of a user can be met or not; the charging amount refers to the electric quantity which needs to be charged currently by the user; the minimum electric quantity threshold is whether the charging quantity required by a user can be reached when the micro power supply in the micro power grid reaches the minimum electric quantity threshold; the expected charging period of time is related to the amount of charge, and generally refers to the time until the amount of charge is reached.
And 102, inquiring a microgrid meeting preset charging conditions according to the expected charging position based on a preset distance range, wherein the preset charging conditions comprise charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions.
The preset distance range is a value set by taking an expected charging position set by a user as a reference, can be set according to the distribution density of the micro-grid in a certain area, and can also be set according to survey of the user distance satisfaction degree, so that the preset distance range is reasonable, and can cover more micro-grids while the user requirements can be met.
The microgrid within the preset distance range also needs to be screened and inquired according to the preset charging condition, and only the microgrid which meets the preset charging condition within the preset distance range is reserved.
Charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions in the preset charging conditions are set respectively according to charging equipment parameters, charging quantity, minimum electric quantity threshold values and expected charging duration in the charging query information, and different preset charging conditions have different requirements on micro power supply equipment in the micro power grid.
Further, when the preset charging condition is a charging device condition, step 102 includes:
and selecting a microgrid with candidate charging equipment parameters within the charging equipment condition range according to the charging equipment parameters within the preset distance range, wherein the charging equipment parameters comprise input voltage, input power and input current.
The charging equipment parameters are specific parameters of the candidate charging equipment, and the parameters can be randomly combined by a user, sent to the dispatching center through the charging inquiry information, selected by the micro-grid, and reserved for the micro-grid meeting the parameter conditions, namely the charging equipment conditions.
Further, when the preset charging condition is a charging capacity condition, step 102 includes:
and selecting a microgrid with the capacitance of the candidate charging equipment meeting the charging capacity condition according to the charging quantity within the preset distance range, wherein the charging quantity is the difference between the expected electric quantity value and the current electric quantity value of the electric equipment.
The charging amount is the difference between the expected charging amount of the electric equipment of the user and the current actual electric value of the electric equipment, and the micro-power charging equipment in the micro-grid also has some charging parameters, such as capacitance, and if the capacitance of the charging equipment of the micro-grid is enough to reach the expected charging amount, the charging equipment does not need to be recommended to the user side even if the distance is short.
Further, when the preset charging condition is a charging threshold condition, step 102 includes:
acquiring the electric quantity limit value of the microgrid according to preset battery parameters;
and selecting the microgrid with the electric quantity limit value of the candidate charging equipment within the charging threshold condition range according to the minimum electric quantity threshold within the preset distance range.
The micro-power source charging equipment in the micro-grid comprises electric capacity parameters and battery parameters, the electric quantity limit value of each micro-grid meeting the charging quantity requirement of a user can be calculated according to the parameters, if the electric quantity limit value is within the charging threshold value condition range, or is larger than the minimum electric quantity threshold value, or exceeds the minimum electric quantity threshold value by a preset value, the micro-grid is considered to meet the charging requirement of the user, and otherwise, no recommendation is made. Or whether the charging amount requirement of the user can be met before each microgrid reaches the minimum electric quantity threshold value, if yes, the microgrid meets the charging threshold value condition.
Further, when the preset charging condition is a charging duration condition, step 102 includes:
calculating the predicted charging time when the micro-grid is charged to the charging amount according to preset battery parameters;
and selecting the microgrid with the predicted charging time length smaller than the expected charging time length within the preset distance range.
The expected charging time generally refers to the time consumed by a user when the user wants to reach the charging amount, and different charging parameters of the microgrid can influence the charging time of the microgrid, so that different predicted charging times exist for the same charging amount, and if the predicted charging time is less than the expected charging time, the charging experience of the user can be improved, the microgrid is preferentially recommended to the user.
And 103, calculating an actual line distance between each microgrid and the expected charging position.
The calculated distance can be used for arranging micro grids at different distances for users, more definite charging information is provided for the users, the distance is too far, the users cannot reach the micro grids to complete charging tasks, and the actual line distance is the actual distance of a driving road and is not a straight line distance; the actual line distance is adopted to better meet the actual application condition.
And 104, selecting a preset number of micro-grids from the actual line distances after the ascending sequence arrangement operation to generate a charging recommendation table.
The micro-grids at the closer distance are arranged in front of the actual line distance sequence after the ascending sequence, and the preset number can be selected according to the density degree of the micro-grids in the area range and the distance from the expected charging position of a user from the micro-grids from near to far in sequence, so that the user demand can be met as far as possible, and the user experience feeling is improved as a target. And the generated charging recommendation table is sent to a user terminal for a user to look up and reference.
According to the charging scheduling method for the microgrid, the charging query information of the user terminal is obtained, so that the charging requirements of the user, namely specific expected charging parameters and expected charging positions, are clarified, the microgrid within a preset distance range is subjected to unified screening query, the microgrid meeting preset charging conditions is found and recommended to the user, the user can finish a charging task as soon as possible, the charging experience of the user can be improved, and resources of the microgrid can be fully utilized. Therefore, the problem that the charging requirement of the conventional electric vehicle cannot be met due to shortage of the charging pile can be solved, and inconvenience is brought to users in using the electric vehicle; and the existing micro power supply can not be fully utilized, and the technical problem of public resource waste exists.
For convenience of understanding, an example system based on a microgrid charging scheduling method is provided and mainly comprises a microgrid, a scheduling center and an intelligent terminal. The micro-grid comprises a network module, a new energy module, an energy storage module, a control module and a charging module; the new energy module comprises one or more of a wind power generator, a solar battery, a hydroelectric generator, a tidal power generator or a biological power generator; the power generated by the new energy module is stored in the energy storage module; the control module acquires operation parameters on the new energy module and battery parameters of the energy storage module through a sensor; the charging module is used for charging the electric energy of the energy storage module to the charging equipment; the micro-grid is connected with the dispatching center through a network module.
The dispatching center comprises an acquisition module, a database module, a communication module, a user module and a recommendation module; the acquisition module is used for acquiring one or more combinations of operating parameters and battery parameters of the microgrid; the user module is used for inquiring the user authority according to the charging inquiry information user identification number; the database module stores user information, microgrid information and microgrid parameter information; the user information comprises one or more of user identification number, charging equipment type, charging equipment parameter, charging start time, charging amount, charging time or expected charging position and user authority; the microgrid information comprises a microgrid identification, a microgrid position or a microgrid type; the microgrid parameter information comprises one or more combinations of operating parameters and battery parameters of the microgrid; the communication module is used for being connected with the intelligent terminal and the micro-grid network; the recommendation module is used for generating a microgrid recommendation list according to the charging query information, the microgrid information and the microgrid parameters; the recommending module is also used for sending the microgrid recommending list to the intelligent terminal.
The intelligent terminal is connected with the scheduling center through a network and used for sending charging query information to the scheduling center so that the scheduling center sends micro-grid recommendation information to the intelligent terminal; the charging inquiry information comprises one or more combinations of a user identification number, a charging equipment type, a charging start time, a charging amount, a charging time or a desired charging position; the microgrid recommendation information comprises one or more combinations of microgrid identification, microgrid position or microgrid type.
The foregoing is an embodiment of a microgrid charging scheduling method provided by the present application, and the following is an embodiment of a microgrid charging scheduling apparatus provided by the present application.
For easy understanding, please refer to fig. 2, the present application provides an embodiment of a microgrid charging scheduling apparatus, including:
the receiving module 201 is configured to receive charging query information sent by a user terminal, where the charging query information includes an expected charging location, a charging device parameter, a charging amount, a minimum electric quantity threshold, and an expected charging duration;
the query module 202 is configured to query, based on a preset distance range, a microgrid meeting preset charging conditions according to an expected charging position, where the preset charging conditions include charging equipment conditions, charging capacity conditions, charging threshold conditions, and charging duration conditions;
a calculation module 203 for calculating an actual line distance between each microgrid and a desired charging location;
and the recommending module 204 is configured to select a preset number of micro-grids from the actual line distances after the ascending order arrangement operation to generate a charging recommending table.
Further, when the preset charging condition is a charging device condition, the query module 202 is specifically configured to:
and selecting a microgrid with candidate charging equipment parameters within the charging equipment condition range according to the charging equipment parameters within the preset distance range, wherein the charging equipment parameters comprise input voltage, input power and input current.
Further, when the preset charging condition is a charging capacity condition, the query module 202 is specifically configured to:
and selecting a microgrid with the capacitance of the candidate charging equipment meeting the charging capacity condition according to the charging quantity within the preset distance range, wherein the charging quantity is the difference between the expected electric quantity value and the current electric quantity value of the electric equipment.
Further, when the preset charging condition is a charging threshold condition, the query module 202 is specifically configured to:
acquiring the electric quantity limit value of the microgrid according to preset battery parameters;
and selecting the microgrid with the electric quantity limit value of the candidate charging equipment within the charging threshold condition range according to the minimum electric quantity threshold within the preset distance range.
Further, when the preset charging condition is a charging duration condition, the query module 202 is specifically configured to:
calculating the predicted charging time when the micro-grid is charged to the charging amount according to preset battery parameters;
and selecting the microgrid with the predicted charging time length smaller than the expected charging time length within the preset distance range.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method described in the embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device). And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A microgrid charging scheduling method is characterized by comprising the following steps:
receiving charging inquiry information sent by a user terminal, wherein the charging inquiry information comprises an expected charging position, charging equipment parameters, a charging amount, a minimum electric quantity threshold value and expected charging time;
inquiring a microgrid meeting preset charging conditions according to the expected charging position based on a preset distance range, wherein the preset charging conditions comprise charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions;
calculating an actual line distance between each of the micro-grids and the desired charging location;
and selecting a preset number of micro-grids from the actual line distances after the ascending sequence arrangement operation to generate a charging recommendation table.
2. The microgrid charging scheduling method according to claim 1, wherein when the preset charging condition is the charging equipment condition, the querying a microgrid meeting the preset charging condition according to the expected charging position based on a preset distance range includes:
and selecting a microgrid with candidate charging equipment parameters within the charging equipment condition range according to the charging equipment parameters within a preset distance range, wherein the charging equipment parameters comprise input voltage, input power and input current.
3. The microgrid charge scheduling method according to claim 1, wherein when the preset charge condition is the charge capacity condition, the querying a microgrid meeting the preset charge condition according to the expected charge position based on a preset distance range includes:
and selecting a microgrid with the capacitance of the candidate charging equipment meeting the charging capacity condition according to the charging quantity within a preset distance range, wherein the charging quantity is the difference between the expected electric quantity value and the current electric quantity value of the electric equipment.
4. The microgrid charging scheduling method according to claim 1, wherein when the preset charging condition is the charging threshold condition, the querying a microgrid meeting a preset charging condition according to the expected charging position based on a preset distance range includes:
acquiring the electric quantity limit value of the microgrid according to preset battery parameters;
and selecting the microgrid with the electric quantity limit value of the candidate charging equipment within the charging threshold condition range according to the minimum electric quantity threshold within a preset distance range.
5. The microgrid charging scheduling method according to claim 4, wherein when the preset charging condition is the charging duration condition, the querying a microgrid meeting the preset charging condition according to the expected charging position based on a preset distance range includes:
calculating the predicted charging time for charging the micro-grid to reach the charging amount according to the preset battery parameters;
and selecting the microgrid with the predicted charging time length smaller than the expected charging time length within a preset distance range.
6. A microgrid charging scheduling device, comprising:
the charging system comprises a receiving module, a charging module and a charging module, wherein the receiving module is used for receiving charging inquiry information sent by a user terminal, and the charging inquiry information comprises an expected charging position, charging equipment parameters, a charging amount, a minimum electric quantity threshold and an expected charging time;
the query module is used for querying a microgrid meeting preset charging conditions according to the expected charging position based on a preset distance range, wherein the preset charging conditions comprise charging equipment conditions, charging capacity conditions, charging threshold conditions and charging duration conditions;
a calculation module for calculating an actual line distance between each of the micro grids and the desired charging location;
and the recommending module is used for selecting a preset number of micro-grids from the actual line distances after the ascending sequence arranging operation to generate a charging recommending table.
7. The microgrid charging scheduling device of claim 6, wherein when the preset charging condition is the charging equipment condition, the query module is specifically configured to:
and selecting a microgrid with candidate charging equipment parameters within the charging equipment condition range according to the charging equipment parameters within a preset distance range, wherein the charging equipment parameters comprise input voltage, input power and input current.
8. The microgrid charging scheduling device of claim 6, wherein when the preset charging condition is the charging capacity condition, the query module is specifically configured to:
and selecting a microgrid with the capacitance of the candidate charging equipment meeting the charging capacity condition according to the charging quantity within a preset distance range, wherein the charging quantity is the difference between the expected electric quantity value and the current electric quantity value of the electric equipment.
9. The microgrid charging scheduling device of claim 6, wherein when the preset charging condition is the charging threshold condition, the query module is specifically configured to:
acquiring the electric quantity limit value of the microgrid according to preset battery parameters;
and selecting the microgrid with the electric quantity limit value of the candidate charging equipment within the charging threshold condition range according to the minimum electric quantity threshold within a preset distance range.
10. The microgrid charging scheduling device of claim 6, wherein when the preset charging condition is the charging duration condition, the query module is specifically configured to:
calculating the predicted charging time for charging the micro-grid to reach the charging amount according to the preset battery parameters;
and selecting the microgrid with the predicted charging time length smaller than the expected charging time length within a preset distance range.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110657062.XA CN113241806B (en) | 2021-06-11 | 2021-06-11 | Micro-grid charging scheduling method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110657062.XA CN113241806B (en) | 2021-06-11 | 2021-06-11 | Micro-grid charging scheduling method and device |
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| Publication Number | Publication Date |
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