CN110979084A - Charging control method, system and device for electric vehicle charging station - Google Patents

Charging control method, system and device for electric vehicle charging station Download PDF

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Publication number
CN110979084A
CN110979084A CN201911414129.6A CN201911414129A CN110979084A CN 110979084 A CN110979084 A CN 110979084A CN 201911414129 A CN201911414129 A CN 201911414129A CN 110979084 A CN110979084 A CN 110979084A
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load
transformer
charging
charging station
daily
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CN110979084B (en
Inventor
邓凯
张晓平
罗敏
张思建
易斌
孟金岭
苏伟
罗嘉
钟国彬
林国营
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Guangdong Electric Power Science Research Institute Energy Technology Co Ltd
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Guangdong Electric Power Science Research Institute Energy Technology Co Ltd
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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
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/63—Monitoring or controlling charging stations in response to network capacity
    • 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
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/64—Optimising energy costs, e.g. responding to electricity rates
    • 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
    • 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
    • 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
    • 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

Abstract

The application discloses electric vehicle charging station charging control method, system and device, including: the method comprises the steps of obtaining a transformer historical daily load and a charging station historical daily load, predicting according to the transformer historical daily load and the charging station historical daily load to obtain a transformer predicted daily load and a charging station predicted daily load, substituting the transformer predicted daily load and the charging station predicted daily load into a preset formula to obtain a planned daily load of a charging pile, controlling electric power of the charging pile according to the planned daily load, judging whether a real-time total load of the transformer is larger than or equal to a first threshold value, reducing the real-time total load of the transformer to a second threshold value if the real-time total load of the transformer is larger than or equal to the first threshold value. The technical problems that due to the fact that charging load is superposed with the traditional load peak period of a power grid due to disordered charging, power utilization in local areas is insufficient and the load of a power distribution network is unbalanced in the conventional electric vehicle charging station are solved.

Description

Charging control method, system and device for electric vehicle charging station
Technical Field
The application relates to the technical field of charging management, in particular to a charging control method, a charging control system and a charging control device for an electric vehicle charging station.
Background
The construction of electric vehicle charging infrastructure is the basis of strategic development of electric vehicles in China, and with the rapid increase of the charging power of electric vehicles, the construction of the charging infrastructure shows an unordered increasing trend for the capacity expansion requirement of a power grid, and how to realize the benefit win-win between power consumers and power grid companies through ordered charging becomes a great technical challenge.
At the present stage, the large-scale access of the charging pile electric automobile directly leads to the rapid increase of the load of a power grid, and due to disordered charging, the charging load is superposed with the traditional load peak period of the power grid, the peak-valley difference of the power grid is further aggravated, and the operation economy of the power grid is influenced; the unordered charging of the electric automobile easily causes the power shortage in local areas, and the burden of the power distribution network is increased, so that the load balance of the power distribution network is influenced.
Disclosure of Invention
The embodiment of the application provides a charging control method, a charging control system and a charging control device for an electric vehicle charging station, which are used for solving the technical problems of local area power utilization shortage and unbalanced load of a power distribution network caused by the superposition of charging load and the traditional load peak period of a power grid due to disordered charging of the conventional electric vehicle charging station.
In view of the above, a first aspect of the present application provides an electric vehicle charging station charging control method, including:
s1, acquiring historical daily load of a transformer and historical daily load of a charging station, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
s2, forecasting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the forecasted daily load of the transformer and the forecasted daily load of the charging station;
s3, substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain a planned daily load of the charging pile, and controlling the electric power of the charging pile according to the planned daily load;
s4, judging whether the real-time total load of the transformer is larger than or equal to a first threshold value, if so, executing a step S5, otherwise, executing a step S1;
and S5, reducing the real-time total load of the transformer to a second threshold value, wherein the first threshold value is larger than the rated load of the transformer, and the rated load of the transformer is larger than the second threshold value.
Optionally, the predicting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the predicted daily load of the transformer and the predicted daily load of the charging station includes:
and respectively substituting the historical daily load of the transformer and the historical daily load of the charging station into the prediction formula to obtain the predicted daily load of the transformer and the predicted daily load of the charging station.
The prediction formula is as follows:
Figure BDA0002350747250000021
Figure BDA0002350747250000022
wherein, deltaiFor similarity factors i days before the predicted daySeed, Pi(t) is the 24 hour load situation i days before the predicted day;
β1、β2、β3the attenuation coefficients of the past 1 day, the past week and the past month respectively range from 0.95 to 0.99, and SiFor holiday similarity coefficient, when the past day and the predicted day are the same holiday, Si1, otherwise Si＝0，N1＝1，N2＝7，N3Int is the dividing integer function, 30.
Optionally, the predicted daily load of the transformer and the predicted daily load of the charging station are substituted into a preset formula to obtain a planned daily load of the charging pile, and the electric power of the charging pile is controlled according to the planned daily load:
the preset formula is as follows:
K(t)＝(P2-Pbecome(t))/PPile requirement(t)；
Wherein, P2Is a second threshold value, PBecome(t) predicted load for the diurnal transformer, PPile requirementAnd (t) predicting the load of the daily charging piles, wherein the predicted load of the daily charging station is the sum of the predicted loads of all the daily charging piles.
Optionally, the reducing the real-time total load of the transformer to a second threshold, where the first threshold is greater than the rated load of the transformer, and the rated load of the transformer is greater than the second threshold includes:
reducing the electrical power of each of the charging piles by (P-P)2) The real-time total load of the transformer is reduced to a second threshold value;
wherein P is the real-time total load of the transformer, P1Is a first threshold value, P2N is the number of charging piles being charged, which is the second threshold value.
The second aspect of the present application provides an electric vehicle charging station charging control system, the system including:
the load information acquisition unit is used for acquiring the historical daily load of the transformer and the historical daily load of the charging station, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
the load information prediction unit is used for predicting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the predicted daily load of the transformer and the predicted daily load of the charging station;
the charging active control unit is used for substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain a planned daily load of the charging pile, and controlling the electric power of the charging pile according to the planned daily load;
the load information judging unit is used for judging whether the real-time total load of the transformer is greater than or equal to a first threshold value, if so, the charging passive control unit is triggered, and otherwise, the load information acquisition unit is triggered;
and the charging passive control unit is used for reducing the real-time total load of the transformer to a second threshold value, wherein the first threshold value is greater than the rated load of the transformer, and the rated load of the transformer is greater than the second threshold value.
Optionally, the load information collecting unit includes:
the transformer load information acquisition unit is used for acquiring the historical daily load of the transformer, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
and the charging station load information acquisition unit is used for acquiring the historical daily load of the charging station.
Optionally, the load information prediction unit is specifically configured to:
and respectively substituting the historical daily load of the transformer and the historical daily load of the charging station into the prediction formula to obtain the predicted daily load of the transformer and the predicted daily load of the charging station.
The prediction formula is as follows:
Figure BDA0002350747250000031
Figure BDA0002350747250000032
wherein, deltaiFor similarity factors from i days before the predicted day, Pi(t) is the 24 hour load situation i days before the predicted day;
β1、β2、β3the attenuation coefficients of the past 1 day, the past week and the past month respectively range from 0.95 to 0.99, and SiFor holiday similarity coefficient, when the past day and the predicted day are the same holiday, Si1, otherwise Si＝0，N1＝1，N2＝7，N3Int is the dividing and rounding function, 30;
optionally, the charging active control unit is specifically configured to:
substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain a planned daily load of the charging pile, and controlling the electric power of the charging pile according to the planned daily load;
the preset formula is as follows:
K(t)＝(P2-Pbecome(t))/PPile requirement(t)；
Wherein, P2Is a second threshold value, PBecome(t) predicted load for the diurnal transformer, PPile requirementAnd (t) predicting the load of the daily charging piles, wherein the predicted load of the daily charging station is the sum of the predicted loads of all the daily charging piles.
Optionally, the charging passive control unit is specifically configured to:
reducing the electrical power of each of the charging piles by (P-P)2) The real-time total load of the transformer is reduced to a second threshold value;
wherein P is the real-time total load of the transformer, P1Is a first threshold value, P2N is the number of charging piles being charged, which is the second threshold value.
The third aspect of the present application provides an electric vehicle charging station charging control apparatus, the apparatus comprising: the electric vehicle charging station charge control system of any of claims 5-9.
According to the technical scheme, the embodiment of the application has the following advantages:
the embodiment of the application provides a charging control method for an electric vehicle charging station, which comprises the following steps: the method comprises the steps of obtaining a transformer historical daily load and a charging station historical daily load, predicting according to the transformer historical daily load and the charging station historical daily load to obtain a transformer predicted daily load and a charging station predicted daily load, substituting the transformer predicted daily load and the charging station predicted daily load into a preset formula to obtain a planned daily load of a charging pile, controlling electric power of the charging pile according to the planned daily load, judging whether a real-time total load of the transformer is larger than or equal to a first threshold value, reducing the real-time total load of the transformer to a second threshold value if the real-time total load of the transformer is larger than or equal to the first threshold value. The charging station can predict the load required by the charging station in advance according to the historical electric power information of the transformer and the charging station, the distribution of the electric power load is controlled in order, and meanwhile, the control signal can be flexibly sent to control the electric power of the charging station according to the load condition, so that the technical problems that the charging load is superposed with the traditional load peak period of a power grid due to disordered charging of the conventional electric vehicle charging station, the power utilization in local areas is insufficient, and the load of a power distribution network is unbalanced are solved.
Drawings
FIG. 1 is a flowchart of a method of one embodiment of a method for controlling charging of an electric vehicle charging station according to the present application;
FIG. 2 is a flowchart of a method of another embodiment of a method for controlling charging of an electric vehicle charging station according to the present application;
fig. 3 is a schematic structural diagram of an embodiment of a charging control system of an electric vehicle charging station according to 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.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method of controlling charging of an electric vehicle charging station according to an embodiment of the present disclosure.
The application provides a charging control method for an electric vehicle charging station, which comprises the following steps:
step 101, obtaining a historical daily load of a transformer and a historical daily load of a charging station, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer.
It should be noted that, historical daily load information of the transformer is acquired by the charging control system, the historical daily load information of the transformer is obtained by calculating voltage and current information acquired by the charging control system, historical daily load information of the charging station is acquired by the electric vehicle operation system, the historical daily load information of the charging station is sent to the charging control system by the electric vehicle operation system, and the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer.
And 102, forecasting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the forecast daily load of the transformer and the forecast daily load of the charging station.
It should be noted that the predicted daily load of the transformer and the predicted daily load of the charging station are greatly related to time factors such as holidays and the like, for example, the power consumption on monday to friday and weekend has obvious difference, so that prediction needs to be performed according to historical data, and the power of the charging station can be more accurately controlled according to actual conditions.
And 103, substituting the daily transformer predicted load and the daily charging station predicted load into a preset formula to obtain the planned daily load of the charging pile, and controlling the electric power of the charging pile according to the daily planned load.
The electric power control method includes the steps of carrying out prediction calculation through a preset formula to obtain a planned daily load of the charging pile, and controlling electric power of the charging pile according to the obtained predicted load of the charging pile.
And 104, judging whether the real-time total load of the transformer is greater than or equal to a first threshold value, if so, executing a step 105, otherwise, executing a step 101.
And 105, reducing the real-time total load of the transformer to a second threshold value, wherein the first threshold value is larger than the rated load of the transformer, and the rated load of the transformer is larger than the second threshold value.
It should be noted that, by determining whether the load of the transformer is greater than a preset value in real time, when the total load of the transformer is greater than the preset value at a certain time, a power limit command is issued to the charging station. Such as the first threshold value P1The second threshold is P2Then, the power is limited by reducing the charging load in one charging station by P1-P2If N charging piles exist in one charging station, the absolute value of power reduction of each charging pile is (P)1-P2)/N。
According to the charging control method for the electric vehicle charging station, the planned daily load of the charging pile is obtained by obtaining the historical daily load data of the transformer and the charging station and performing prediction calculation according to the historical daily load data and the historical daily load data, the electric power of the charging pile is controlled through the daily planned load, and whether the real-time total load of the transformer is larger than a preset value or not is judged, if yes, the charging power of the charging station is controlled to enable the real-time total load of the transformer to accord with a target value, so that the charging station can predict the required load of the charging station in advance according to the historical electric power information of the transformer and the charging station, the distribution of the electric power load is controlled orderly, and meanwhile, control signals can be flexibly. The technical problems that due to the fact that charging load is superposed with the traditional load peak period of a power grid due to disordered charging, power utilization in local areas is insufficient and the load of a power distribution network is unbalanced in the conventional electric vehicle charging station are solved.
The above is an embodiment of a charging control method for an electric vehicle charging station provided in an embodiment of the present application, and the following is another embodiment of the charging control method for an electric vehicle charging station provided in an embodiment of the present application.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method of controlling charging of an electric vehicle charging station according to another embodiment of the present disclosure.
In this embodiment, a charging control method for an electric vehicle charging station includes: acquiring the historical daily load of the transformer and the historical daily load of the charging station, predicting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the predicted daily load of the transformer and the predicted daily load of the charging station, substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain the planned daily load of the charging pile, controlling the electric power of the charging pile according to the planned daily load, judging whether the real-time total load of the transformer is greater than or equal to a first threshold value, reducing the real-time total load of the transformer to a second threshold value if the real-time total load of the.
Specifically, predicting according to the historical daily load of the transformer and the historical daily load of the charging station, and obtaining the predicted daily load of the transformer and the predicted daily load of the charging station comprises the following steps: respectively substituting the historical daily load of the transformer and the historical daily load of the charging station into a prediction formula to obtain the predicted daily load of the transformer and the predicted daily load of the charging station
The prediction formula is:
Figure BDA0002350747250000071
Figure BDA0002350747250000072
wherein, deltaiFor similarity factors from i days before the predicted day, Pi(t) is the 24 hour load situation i days before the predicted day;
β1、β2、β3the attenuation coefficients of the past 1 day, the past week and the past month respectively range from 0.95 to 0.99, and SiFor holiday similarity coefficient, S is the same day as the predicted day when the past day is the same dayi1, otherwise Si＝0，N1＝1，N2＝7，N3Int is the dividing and rounding function, 30;
specifically, the predicted load of the daily transformer and the predicted load of the daily charging station are substituted into a preset formula to obtain the planned daily load of the charging pile, and the electric power of the charging pile is controlled according to the daily planned load;
the preset formula is as follows:
K(t)＝(P2-Pbecome(t))/PPile requirement(t)；
Wherein, P2Is a second threshold value, PBecome(t) predicted load for the diurnal transformer, PPile requirementAnd (t) predicting the load of the daily charging piles, wherein the predicted load of the daily charging station is the sum of the predicted loads of all the daily charging piles.
It should be noted that the above method for controlling the charging pile is a method for controlling the charging pile, and may be understood as active control, and the accuracy of charging control is increased by predicting the load required by the charging pile in advance, and the following method for controlling the charging pile may be understood as passive control, so as to perform monitoring and prevention functions.
Specifically, still include: when the load of the transformer is greater than or equal to the first threshold, reducing the total load of the transformer to a second threshold comprises: when the total load of the transformer is greater than or equal to a first threshold value, the electric power of each charging pile is reduced to (P)1-P2) The total real-time total load of the transformer is reduced to a second threshold value; wherein, P1Is a first threshold value, P2N is the number of charging piles being charged, which is the second threshold value.
It can be understood that when the real-time total load of the transformer exceeds the rated range, the real-time total load of the transformer does not exceed the ideal working range of the transformer by reducing the electric power of the charging pile.
According to the charging pile control method provided by the second embodiment of the application, the charging load of a charging pile on a certain day is predicted according to the historical daily load data of the transformer and the historical daily load data of the charging station, a load prediction plan is obtained, the charging pile is controlled to work according to the prediction plan, the charging control accuracy is improved, meanwhile, a passive charging control method is provided, the load of the charging station is monitored to be not more than a load preset value, and a guarantee is provided for a power distribution network.
The above is a second embodiment of the charging control method for an electric vehicle charging station according to the embodiments of the present application, and an embodiment of a charging control system for an electric vehicle charging station according to the embodiments of the present application is as follows.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a charging control system of an electric vehicle charging station according to an embodiment of the present disclosure.
An embodiment of an electric vehicle charging station charge control system that this application embodiment provided includes:
the load information acquisition unit 301 is used for acquiring the historical daily load of the transformer and the historical daily load of the charging station, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
the load information prediction unit 302 is used for predicting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the predicted daily load of the transformer and the predicted daily load of the charging station;
the charging active control unit 303 is used for substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain a planned daily load of the charging pile, and controlling the electric power of the charging pile according to the planned daily load;
the load information judging unit 304 is used for judging whether the real-time total load of the transformer is greater than or equal to a first threshold value, if so, the charging passive control unit is triggered, and otherwise, the load information acquisition unit is triggered;
and the charging passive control unit 305 is used for reducing the real-time total load of the transformer to a second threshold value, wherein the first threshold value is greater than the rated load of the transformer, and the rated load of the transformer is greater than the second threshold value.
Specifically, the load information acquisition unit includes:
the transformer load information acquisition unit is used for acquiring the historical daily load of the transformer, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
and the charging station load information acquisition unit is used for acquiring the historical daily load of the charging station.
Specifically, the charge controller further includes: the transformer total load information sending method is used for sending transformer total load information to an electric automobile operation platform.
Specifically, the load information prediction unit is specifically configured to: and respectively substituting the historical daily load of the transformer and the historical daily load of the charging station into a prediction formula to obtain the predicted daily load of the transformer and the predicted daily load of the charging station.
The prediction formula is:
Figure BDA0002350747250000091
Figure BDA0002350747250000092
wherein, deltaiFor similarity factors from i days before the predicted day, Pi(t) is the 24 hour load situation i days before the predicted day;
β1、β2、β3the attenuation coefficients of the past 1 day, the past week and the past month respectively range from 0.95 to 0.99, and SiFor holiday similarity coefficient, when the past day and the predicted day are the same holiday, Si1, otherwise Si＝0，N1＝1，N2＝7，N3Int is the dividing and rounding function, 30;
specifically, the charging passive control unit is specifically configured to: reducing the electric power of each charging pile (P-P)2) The real-time total load of the transformer is reduced to a second threshold value; wherein P is the real-time total load of the transformer, P1Is a first threshold value, P2N is the number of charging piles being charged, which is the second threshold value.
The embodiment of the application provides an electric automobile charging station charge control system, includes: the charging of the charging pile is actively controlled by the charging active control unit according to the load prediction information, meanwhile, the transformer is controlled to work within a rated load range by the charging passive electric unit, so that the charging pile can predict the load required by the charging pile in advance according to the historical electric power information of the transformer and the charging pile, the distribution of the electric power load is controlled orderly and stably, meanwhile, a control signal can be flexibly sent to control the electric power of the charging pile according to the load condition, the characteristic of adjustable load of an electric vehicle is fully exerted, the construction of the charging pile of the electric vehicle is carried out by utilizing the residual capacity of the transformer, and the construction electric power supply limiting.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. 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 causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. 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 charging control method for an electric vehicle charging station is characterized by comprising the following steps:
s1, acquiring historical daily load of a transformer and historical daily load of a charging station, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
s2, forecasting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the forecasted daily load of the transformer and the forecasted daily load of the charging station;
s3, substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain a planned daily load of the charging pile, and controlling the electric power of the charging pile according to the planned daily load;
s4, judging whether the real-time total load of the transformer is larger than or equal to a first threshold value, if so, executing a step S5, otherwise, executing a step S1;
and S5, reducing the real-time total load of the transformer to a second threshold value, wherein the first threshold value is larger than the rated load of the transformer, and the rated load of the transformer is larger than the second threshold value.
2. The method of claim 1, wherein the predicting according to the historical daily load of the transformer and the historical daily load of the charging station comprises:
respectively substituting the historical daily load of the transformer and the historical daily load of the charging station into the prediction formula to obtain the predicted daily load of the transformer and the predicted daily load of the charging station;
the prediction formula is as follows:
Figure FDA0002350747240000011
Figure FDA0002350747240000012
wherein, deltaiFor similarity factors from i days before the predicted day, Pi(t) is the 24 hour load situation i days before the predicted day;
β1、β2、β3the attenuation coefficients of the past 1 day, the past week and the past month respectively range from 0.95 to 0.99, and SiFor holiday similarity coefficient, when the past day and the predicted day are the same holiday, Si1, otherwise Si＝0，N1＝1，N2＝7，N3Int is the dividing integer function, 30.
3. The electric vehicle charging station charging control method according to claim 2, wherein the predicted daily load of the transformer and the predicted daily load of the charging station are substituted into a preset formula to obtain a planned daily load of a charging pile, and the electric power of the charging pile is controlled according to the planned daily load:
the preset formula is as follows:
K(t)＝(P2-Pbecome(t))/PPile requirement(t)；
Wherein, P2Is a secondThreshold value, PBecome(t) predicted load for the diurnal transformer, PPile requirementAnd (t) predicting the load of the daily charging piles, wherein the predicted load of the daily charging station is the sum of the predicted loads of all the daily charging piles.
4. The electric vehicle charging station charge control method of claim 1, wherein the reducing the real-time total load of the transformer to a second threshold, the first threshold being greater than the rated load of the transformer, the rated load of the transformer being greater than the second threshold comprises:
reducing the electrical power of each of the charging piles by (P-P)2) The real-time total load of the transformer is reduced to a second threshold value;
wherein P is the real-time total load of the transformer, P1Is a first threshold value, P2N is the number of charging piles being charged, which is the second threshold value.
5. An electric vehicle charging station charge control system, comprising:
the load information acquisition unit is used for acquiring the historical daily load of the transformer and the historical daily load of the charging station, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
the load information prediction unit is used for predicting according to the historical daily load of the transformer and the historical daily load of the charging station to obtain the predicted daily load of the transformer and the predicted daily load of the charging station;
the charging active control unit is used for substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain a planned daily load of the charging pile, and controlling the electric power of the charging pile according to the planned daily load;
the load information judging unit is used for judging whether the real-time total load of the transformer is greater than or equal to a first threshold value, if so, the charging passive control unit is triggered, and otherwise, the load information acquisition unit is triggered;
and the charging passive control unit is used for reducing the real-time total load of the transformer to a second threshold value, wherein the first threshold value is greater than the rated load of the transformer, and the rated load of the transformer is greater than the second threshold value.
6. The electric vehicle charging station charge control system of claim 5, wherein the load information collection unit comprises:
the transformer load information acquisition unit is used for acquiring the historical daily load of the transformer, wherein the historical daily load of the transformer is obtained by subtracting the historical daily total load of the charging station from the historical daily total load of the transformer;
and the charging station load information acquisition unit is used for acquiring the historical daily load of the charging station.
7. The electric vehicle charging station charging control system according to claim 5, wherein the load information prediction unit is specifically configured to:
and respectively substituting the historical daily load of the transformer and the historical daily load of the charging station into the prediction formula to obtain the predicted daily load of the transformer and the predicted daily load of the charging station.
The prediction formula is as follows:
Figure FDA0002350747240000031
Figure FDA0002350747240000032
wherein, deltaiFor similarity factors from i days before the predicted day, Pi(t) is the 24 hour load situation i days before the predicted day;
β1、β2、β3the attenuation coefficients of the past 1 day, the past week and the past month respectively range from 0.95 to 0.99, and SiFor holiday similarity coefficient, when the past day and the predicted day are the same holiday, Si1, otherwise Si＝0，N1＝1，N2＝7，N3Int is the dividing integer function, 30.
8. The electric vehicle charging station charge control system of claim 7, wherein the charging active control unit is specifically configured to:
substituting the predicted daily load of the transformer and the predicted daily load of the charging station into a preset formula to obtain a planned daily load of the charging pile, and controlling the electric power of the charging pile according to the planned daily load;
the preset formula is as follows:
K(t)＝(P2-Pbecome(t))/PPile requirement(t)；
Wherein, P2Is a second threshold value, PBecome(t) predicted load for the diurnal transformer, PPile requirementAnd (t) predicting the load of the daily charging piles, wherein the predicted load of the daily charging station is the sum of the predicted loads of all the daily charging piles.
9. The electric vehicle charging station charge control system of claim 5, wherein the charge passive control unit is specifically configured to:
reducing the electrical power of each of the charging piles by (P-P)2) The real-time total load of the transformer is reduced to a second threshold value;
wherein P is the real-time total load of the transformer, P1Is a first threshold value, P2N is the number of charging piles being charged, which is the second threshold value.
10. An electric vehicle charging station charge control apparatus, the apparatus comprising: the electric vehicle charging station charge control system of any of claims 5-9.
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