CN107749629B - Charging pile access control method based on charging station load real-time scheduling - Google Patents
Charging pile access control method based on charging station load real-time scheduling Download PDFInfo
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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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- 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
- 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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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
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Abstract
The invention discloses a charging pile access control method based on charging station load real-time scheduling, which takes an electric vehicle intelligent charging information platform as a carrier, and carries out comprehensive calculation by combining real-time data and power load curve data such as transformer side output power, user side power load, charging station side output power and the like of each cell, which are acquired and provided by an intelligent power distribution terminal, charging pile basic data, charging state and the like, so as to calculate the maximum accessible charging quantity of charging piles in a unit charging station within the scheduling load and the scheduling time period in the current time period, further calculate the real-time load rate and the to-be-charged quantity of the charging piles within the power supply range of a transformer substation, and optimize and distribute the charging pile access quantity on each line. The invention solves the problem that the power of the power distribution network can only be statically monitored whether exceeds the standard or not but can not respond in real time, and realizes the ordered charging of the electric automobile and the safe and economic operation of the power distribution network.
Description
Technical Field
The invention relates to the technical field of charging piles, in particular to a charging pile access control method based on charging station load real-time scheduling.
Background
At present, strategies for controlling the orderly charging of the electric automobile have been researched, the aim of improving the load characteristics is achieved by carrying out coordination control on the whole area, the influence of access of area charging facilities (charging stations or charging piles) and a power grid structure and charging load distribution is not considered, and the control process of the orderly charging cannot be actually guided. And various monitoring terminals are arranged on the power distribution network to detect the information of the ammeter, but the power can only be statically known whether the power exceeds the standard or not, but the power distribution network cannot respond in real time to prevent the power load of the charging station from exceeding the standard.
In actual use, the accuracy requirement of the access control method of the charging pile on real-time load data and power load curve data provided by the intelligent power distribution terminal is very high, and the working environment of the intelligent power distribution terminal is severe, so that the problems of instantaneous electromagnetic interference, communication faults and the like are easily caused, the data acquired by the access control method of the charging pile is polluted, and an erroneous control strategy is possibly caused.
Disclosure of Invention
The object of the present invention is to solve one of the above mentioned problems.
In order to achieve the purpose, the invention provides a control method for scheduling charging pile access in real time based on charging station load, which comprises the following steps:
step 1) accurately calculating the maximum charging pile number m of the current charging station capable of being charged according to the power of the current transformer and the total charging power and by combining the rated power of the transformer and the rated power of the charging piles;
step 2) calculating the number delta m of the electric charging piles which can be started in the current charging station at the current time or at a certain scheduling time period in the future according to the number of the electric vehicles which are reserved for charging and the power utilization trend analysis data(scheduling period)；
Step 3) charging pile quantity delta m capable of being started in the current charging station according to a certain scheduling time period in the future(scheduling period)Analyzing a control strategy for accessing the charging pile at a scheduling time interval;
step 4) verifying and analyzing the control strategy according to the regional power load, and verifying whether the accessed overall power load level is optimal or not;
if the verification is optimal, generating a final charging pile access control strategy;
and if the verification result is not optimal, returning to the step 1) to continue the process.
As a preferred technical solution of the present invention, the step 1) specifically includes:
step 1.1) output power value P of the whole transformer provided by intelligent power distribution terminalTransformer (actual)And total power P of charging stationCharging (actual)Calculating the current user load PUser (actual)，
PUser (actual)= PTransformer (actual)- PCharging (actual)；
Step 1.2) rated power P of transformer provided by intelligent power distribution terminalTransformer (rating)Calculating the current maximum available electric power P of the charging stationCharging (max) ，
PCharging (max) = PTransformer (rating)- PUser (actual)；
Step 1.3) providing rated power P of each charging pile through the intelligent charging information platform of the electric automobileCharger peg (rating)Calculating the maximum charging pile number m allowed to be accessed,
m=Pcharging (max)/PCharger peg (rating)；
Preferably, in step 2), the power consumption trend analysis data is acquired in real time through an intelligent power distribution terminal, and the number of the electric vehicles scheduled to be charged is acquired in real time through an electric vehicle intelligent charging platform.
Preferably, the step 2) specifically includes:
according to the m value, the number of the currently accessed charging piles and the charging state, the current schedulable load delta P of the charging station is calculatedCharging (real-time)And schedulable load Δ P for future scheduling periodCharging (scheduling period)Further calculate the current realityCharging pile quantity delta m capable of allowing access to be increased(real time)And the number of charging piles delta m allowing to increase access in a certain scheduling period in the future(scheduling period)。
As a preferable technical solution of the present invention, the step 3) specifically includes:
if Δ m(scheduling period)>0, then the charging station can be increased by Δ m within the scheduling period(scheduling period)Charging the charging piles in a network;
if Δ m(scheduling period)If the charging station dispatching time interval is less than or equal to 0, the charging load in the dispatching time interval of the charging station exceeds the maximum allowable load, and the locking of the delta m is needed(scheduling period)The control of each charging pile is accessed for charging.
As a preferable technical solution of the present invention, the step 3) specifically includes:
at Δ m(scheduling period)>And when 0, executing to increase the charging quantity of the electric vehicles in the station so as to achieve the best charging benefit, executing to open a reservation window through an electric vehicle intelligent charging information platform, and issuing the reservation information to electric vehicle users so as to improve the user experience.
Preferably, the step 4) specifically includes:
the regional power load comprises a transformer substation base load and a regional electric vehicle charging load demand, and the regional electric vehicle charging load demand comprises charging or charging-reserved load data.
Preferably, the step 4) specifically includes:
charging pile quantity delta m accessed to power grid through scheduling in scheduling period(scheduling period)Analyzing a load curve in a power supply area of the transformer substation so as to judge whether a control strategy of accessing a charging pile into a power grid reaches an optimal load level;
if the optimal load level is reached, controlling the charging piles of each cell according to the charging pile access control strategy given in the step 3);
and if the optimal load level cannot be reached, analyzing the access control strategy of the charging pile again by combining the currently analyzed data until the access control strategy of the charging pile reaching the optimal load level is finally given.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a charging pile access control method based on charging station load scheduling, which aims at charging piles of all cells in a power supply range of a transformer substation, calculates network structural factors based on the load that can be scheduled by a charging station under the condition of meeting the regional charging load demand, solves the problem that whether the power of a power distribution network can only be statically monitored exceeds the standard or not but cannot respond in real time through the coordinated control of charging pile access, and realizes the ordered charging of electric vehicles and the safe and economic operation of the power distribution network.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a charging pile access control method based on charging station load scheduling according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, the present invention provides examples of various specific processes and materials, but one of ordinary skill in the art may recognize the applicability of other processes and/or the use of other materials. In addition, the structure of a first feature described below as "on" a second feature may include embodiments in which the first and second features are formed in direct contact, and may also include embodiments in which additional features are formed between the first and second features, such that the first and second features may not be in direct contact.
In the description of the present invention, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, mechanically or electrically connected, or interconnected between two elements, directly or indirectly through an intermediate medium, and the specific meanings of the terms as described above will be understood by those skilled in the art according to the specific situation.
These and other aspects of embodiments of the invention will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the invention have been disclosed in detail as being indicative of some of the ways in which the principles of the embodiments of the invention may be practiced, but it is understood that the scope of the embodiments of the invention is not limited correspondingly. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
The charging pile access control method based on charging station load scheduling according to the embodiment of the invention is described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram illustrating a charging pile access control method based on charging station load scheduling according to an embodiment of the present invention, and as shown in fig. 1, the method mainly includes the following steps:
step 1) accurately calculating the maximum charging pile number m of the current charging station capable of being charged according to the power of the current transformer and the total charging power and by combining the rated power of the transformer and the rated power of the charging piles;
step 2) calculating the number delta m of the electric charging piles which can be started in the current charging station at the current time or at a certain scheduling time period in the future according to the number of the electric vehicles which are reserved for charging and the power utilization trend analysis data(scheduling period)；
Step 3) charging pile quantity delta m capable of being started in the current charging station according to a certain scheduling time period in the future(scheduling period)Analyzing a control strategy for accessing the charging pile at a scheduling time interval;
step 4) verifying and analyzing the control strategy according to the regional power load, and verifying whether the accessed overall power load level is optimal or not;
if the verification is optimal, generating a final charging pile access control strategy;
and if the verification result is not optimal, returning to the step 1) to continue the process.
According to the embodiment, charging piles in all cells in the power supply range of a transformer substation are taken as objects, under the condition that regional charging load requirements are met, the load can be scheduled based on a charging station, network structural factors are calculated, the load balance of the transformer substation and a distribution line is taken as a target, and the problem that whether the power of a power distribution network (a transformer side, a user side and a charging station side) exceeds the standard or not can only be statically monitored at present but response cannot be made in real time is effectively solved through coordination control of charging pile access, and the ordered charging of an electric automobile and safe and economic operation of the power distribution network are realized.
In an embodiment of the present invention, preferably, the step 1) specifically includes:
step 1.1) output power value P of the whole transformer provided by intelligent power distribution terminalTransformer (actual)And total power P of charging stationCharging (actual)Calculating the current user load PUser (actual)The calculation process is as follows:
Puser (actual)= PTransformer (actual)- PCharging (actual)；
Step 1.2) rated power P of transformer provided by intelligent power distribution terminalTransformer (rating)Calculating the current maximum available electric power P of the charging stationCharging (max)The calculation process is as follows:
Pcharging (max) = PTransformer (rating)- PUser (actual)；
Step 1.3) providing rated power P of each charging pile through the intelligent charging information platform of the electric automobileCharger peg (rating)And calculating the maximum charging pile number m allowed to be accessed, wherein the calculation process is as follows:
m=Pcharging (max)/PCharger peg (rating)；
In an embodiment of the invention, preferably, in the step 2), the power consumption trend analysis data is acquired in real time through an intelligent power distribution terminal, and the number of the electric vehicles scheduled to be charged is acquired in real time through an electric vehicle intelligent charging platform.
In this embodiment, the step 2) specifically includes:
according to the m value, the number of the currently accessed charging piles and the charging state, the current schedulable load delta P of the charging station is calculatedCharging (real-time)And schedulable load Δ P for future scheduling periodCharging (scheduling period)And further calculating the number of the charging piles which can be currently allowed to be accessed in real time(real time)And the number of charging piles delta m allowing to increase access in a certain scheduling period in the future(scheduling period)。
In an embodiment of the present invention, preferably, the step 3) specifically includes:
if Δ m(scheduling period)>0, then the charging station can be increased by Δ m within the scheduling period(scheduling period)Charging the charging piles in a network;
if Δ m(scheduling period)When the ratio is less than or equal to 0, the formula isThe charging load in the charging station dispatching time interval exceeds the maximum allowable load, and the locking of the charging station is needed to be performed by delta m(scheduling period)The control of each charging pile is connected to charge so as to ensure the reliability of power utilization and guarantee the safety of a power grid.
In this embodiment, if Δ m in said step 3)(scheduling period)>0, then the charging station can be increased by Δ m within the scheduling period(scheduling period)The electric pile that fills carries out the networking and charges, increases electric automobile quantity of charging in the station on the one hand, reaches best benefit of charging, and on the other hand opens the reservation window through electric automobile intelligent charging information platform, but will reserve information issue for the electric automobile user, promotes user's physical examination.
In an embodiment of the present invention, preferably, the regional power load includes a substation base load and a regional electric vehicle charging load demand, the substation base load includes data such as a user side load, a charging pile load, and the like, and the regional electric vehicle charging load demand includes data such as charging or scheduled charging.
In this embodiment, the step 4) specifically includes:
charging pile quantity delta m accessed to power grid through scheduling in scheduling period(scheduling period)Analyzing a load curve in a power supply area of the transformer substation so as to judge whether a control strategy of accessing a charging pile into a power grid reaches an optimal load level;
if the optimal load level is reached, controlling the charging piles of each cell according to the charging pile access control strategy given in the step 3);
and if the optimal load level cannot be reached, analyzing the access control strategy of the charging pile again by combining the currently analyzed data until the access control strategy of the charging pile reaching the optimal load level is finally given.
In a specific embodiment of the present invention, the method of the present invention is applied to a cell charging load scheduling. Assuming that the rated capacity of a dry-type transformer installed in a certain cell is 800KVA, the overall power consumption of users in the cell is 200kw-400kw at ordinary times, and the power consumption of charging piles is divided into two types, namely 7kw low-power alternating-current charging piles and 40kw direct-current charging piles, based on the data, the following steps are provided:
charging power P(Max)=（800KVA*0.9-400KW）*0.8=320*0.8=256KW
In this embodiment, if the charging pile access control method of the present invention is not used, it can only be known whether the charging power of the current charging station exceeds the charging power P through the intelligent power distribution terminal(Max)However, the number of charging piles which can be powered on and operated and how to control the charging piles to be connected in a scheduling period cannot be calculated. After the charging pile access control method is used, the electric vehicle intelligent charging information management platform can acquire the current power consumption of the user in real time, if the current power consumption is 200KW, the current power which can be used for the charging station can be calculated to be 200KW by 0.8=160KW, and the power can be used for more charging piles. Meanwhile, the maximum charging pile number of the current charging station capable of being charged is accurately calculated according to the power used by the current charging station monitored by the electric vehicle intelligent charging information management platform in real time.
In this embodiment, based on the maximum number of charging piles that the current charging station can put into the charging function, the number of alternating current and direct current charging piles that can be started in the current charging station at the current time or at a certain scheduling period in the future can be calculated according to the number of electric vehicles that can be charged on line by the intelligent charging information management platform and the predicted power load curve data provided through the intelligent power distribution terminal, and the alternating current and direct current charging piles are upwards fused into the power load of the community for verification, and whether the level of the accessed overall power load is improved or optimal is verified.
In this specific embodiment, assuming that the calculated number of currently accessible charging piles is 6 direct current charging piles or 35 alternating current charging piles, the method may compare and analyze whether the overall load level of the cell is improved or optimal after verifying that 6 direct current charging piles are accessed, specifically, optimize the peak-valley difference rate of the power load;
if the verification is optimal, the method generates a final charging pile access control strategy;
if the verification finds that the electric load level of the community is reduced after the newly-accessed charging pile is started, the method can continue to analyze the charging pile control strategy again until the verification is passed, and finally, the accurate charging pile number and control strategy which can be accessed in the charging station are generated.
Through the detailed explanation of the above embodiments, it can be seen that the present invention has the following advantages: the invention provides a charging pile access control method based on charging station load scheduling, which takes charging piles in all cells within the power supply range of a transformer substation as objects, and realizes ordered control of charging of electric vehicles in all residential areas based on the schedulable load of the charging stations and network structure factors by taking load balance of the transformer substation and a distribution line as a target under the condition of meeting regional charging load requirements. The method comprises the steps of taking an intelligent charging information platform of the electric automobile as a carrier, carrying out comprehensive calculation by combining real-time data and power load curve data such as side output power of transformers of all cells, side power loads of users, side output power of charging stations and the like acquired and provided by an intelligent power distribution terminal, and data such as basic data and charging states of charging piles, calculating schedulable loads in a current time period and the maximum accessible charging quantity of the charging piles in each charging station in the scheduling time period, then calculating the real-time load rate and the to-be-charged quantity (reservation charging data) of the charging piles in a power supply range of the transformer substation, and optimizing and distributing the access quantity of the charging piles on all lines. The problem that whether the power of a power distribution network (a transformer side, a user side and a charging station side) exceeds the standard or not can only be statically monitored at present but the response cannot be made in real time is effectively solved, and the ordered charging of the electric automobile and the safe and economic operation of the power distribution network are realized.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. A control method for scheduling charging pile access in real time based on charging station load is characterized by comprising the following steps:
step 1) accurately calculating the maximum charging pile number m of the current charging station capable of being charged according to the power of the current transformer and the total charging power and by combining the rated power of the transformer and the rated power of the charging piles;
wherein, the whole transformer output power value P provided by the intelligent power distribution terminalTransformer (actual)And total power P of charging stationCharging (actual)Calculating the current user load PUser (actual)；
PUser (actual)＝PTransformer (actual)-PCharging (actual)；
Wherein, the rated power P of the transformer is provided by the intelligent power distribution terminalTransformer (rating)Calculating the current maximum available electric power P of the charging stationCharging (max)，
PCharging (max)＝PTransformer (rating)-PUser (actual)；
Wherein, the rated power P of each charging pile provided by the intelligent charging information platform of the electric automobileCharger peg (rating)Calculating the maximum charging pile number m allowed to be accessed,
m＝Pcharging (max)/PCharger peg (rating)；
Step 2) calculating the number delta m of the electric charging piles which can be started in the current charging station at the current time or at a certain scheduling time period in the future according to the number of the electric vehicles which are reserved for charging and the power utilization trend analysis data(scheduling period)(ii) a Calculating the current schedulable load delta P of the charging station according to the maximum charging pile number m, the currently accessed charging pile number and the charging stateCharging (real-time)And schedulable load Δ P for future scheduling periodCharging (scheduling period)And further calculating the number delta m of the charging piles which can be allowed to be accessed in real time at present(real time)And the number of charging piles delta m allowing to increase access in a certain scheduling period in the future(scheduling period)；
Step 3) according to the current charging station of a certain scheduling time interval in the futureElectric pile quantity Δ m that fills that starts(scheduling period)Analyzing a control strategy for accessing the charging pile at a scheduling time interval;
wherein, if Δ m(scheduling period)>0, then the charging station can be increased by Δ m within the scheduling period(scheduling period)The charging piles are charged in a network, the charging quantity of the electric automobiles is increased in the station to achieve the best charging benefit, an appointment window is opened through an intelligent charging information platform of the electric automobiles, and appointment information is issued to electric automobile users to improve user experience;
wherein, if Δ m(scheduling period)If the charging station dispatching time interval is less than or equal to 0, the charging load in the dispatching time interval of the charging station exceeds the maximum allowable load, and the locking of the delta m is needed(scheduling period)Each charging pile controls access charging;
step 4) verifying and analyzing the control strategy according to the regional power load, and verifying whether the accessed overall power load level is optimal or not; the regional power load comprises a transformer substation base load and a regional electric vehicle charging load demand, and the regional electric vehicle charging load demand comprises charging or charging-scheduled load data; wherein, through the electric pile quantity Δ m of filling of scheduling access electric wire netting in scheduling period(scheduling period)Analyzing a load curve in a power supply area of the transformer substation so as to judge whether a control strategy of accessing a charging pile into a power grid reaches an optimal load level;
if the optimal load level is reached, generating a final charging pile access control strategy, and controlling the charging piles of all the cells according to the charging pile access control strategy given in the step 3);
and if the optimal load level cannot be reached, returning to the step 1) by combining with the currently analyzed data to analyze the access control strategy of the charging pile again until the charging pile access control strategy reaching the optimal load level is finally given.
2. The charging pile access control method based on charging station load real-time scheduling of claim 1, wherein in the step 2), the power consumption trend analysis data is acquired in real time through an intelligent power distribution terminal, and the quantity of the electric vehicles scheduled to be charged is acquired in real time through an electric vehicle intelligent charging platform.
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