CN111401640A - Bilateral balance type charging optimization scheduling method in electric automobile station - Google Patents
Bilateral balance type charging optimization scheduling method in electric automobile station Download PDFInfo
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- 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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- 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
- B60L53/30—Constructional details of charging stations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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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
Abstract
The invention discloses a bilateral weight type optimal scheduling method for charging in an electric automobile station, which comprises the following steps: firstly, acquiring real-time data of the electric automobile and a load prediction result in preset time; and then, obtaining a corresponding charging scheme according to the obtained data and the prediction result, selecting a corresponding model according to the charging type to calculate the predicted queuing time, sequentially charging the electric vehicles by the charging station according to the principle of first-come first-serve and simultaneously priority service quick-charging, and automatically selecting whether to adopt a charging time extension scheme or not by the electric vehicles. The invention can realize the improvement of the user satisfaction degree through different charging schemes and a parallel leaving mechanism, and simultaneously improves the number of the service vehicles of the charging station in unit time and the efficiency.
Description
Technical Field
The invention relates to a bilateral balanced type optimal scheduling method for charging in an electric automobile station.
Background
In recent years, the large-scale development of electric vehicles is a trend, the number of electric vehicle users is increased, and the accompanying further improvement of the scientific planning and scheduling requirements of large-scale charging stations is really a big gap in the current electric vehicle charging field.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides a bilateral weight type optimal scheduling method for charging in an electric automobile station, which optimizes the distribution of electric automobile charging resources.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
a bilateral balance type optimal scheduling method for charging in an electric automobile station comprises the following steps:
s1: the method comprises the steps that a charging station acquires the real-time battery electric quantity and the preset charging time range of the electric automobile;
s2: the charging station predicts the load change trend of the electric automobile within the preset charging time range according to the real-time load change condition of the charging station;
s3: the charging station recommends an optional charging scheme and a charging type to the electric vehicle according to the real-time battery electric quantity of the electric vehicle and the prediction result of the load variation trend within the preset charging time range;
s4: the charging station predicts the predicted waiting time of the electric automobile according to the charging scheme and the charging type selected by the electric automobile and the charging schemes and the charging types of other electric automobiles which have reserved for charging;
s5: the electric vehicle determines whether to reserve charging according to the predicted waiting time fed back by the charging station: if the charging is reserved, the flow proceeds to step S6; otherwise, the electric automobile leaves;
s6: the electric automobile is added into the waiting charging queue, and whether the electric automobile is the first order of the waiting charging queue is judged: if yes, go to step S7; otherwise, return to step S5;
s7: the electric automobile is charged according to the selected charging scheme and the selected charging type;
s8: in the process of charging the electric automobile according to the reserved charging scheme and the reserved charging type, the charging pile recommends an optional charging time extension scheme to the electric automobile according to the battery electric quantity and the current load change trend after the electric automobile is charged;
s9: and the charging station adjusts the charging time according to the charging time extension scheme selected by the electric automobile.
Specifically, the load change of the charging station is fluctuant, the historical load change rule of the charging station is counted, the peak value range and the valley value range are determined firstly, and then a set range is selected according to the power of the charging station when the charging station is fully loaded; the charging station judges the load change trend according to the current load and the predicted load change curve; in step S3, the optional charging scheme is recommended according to the following information:
scheme A: if the load of the charging station is in a set range and has an ascending trend, limiting the maximum charging quantity of the electric vehicle to be a kWh, and limiting the upper limit of the SOC of the electric vehicle to be 100% of the battery capacity after charging is finished;
scheme B: the charging station load is between a set range and a peak value range, and the charging station load has an ascending trend, so that the maximum charging quantity of the electric vehicle is limited to a kWh, and the SOC upper limit of the electric vehicle is m% of the battery capacity after charging is finished;
scheme C: when the load of the charging station is in the peak value range, the maximum charge amount of the electric automobile is limited to a kWh, and the SOC upper limit of the electric automobile is n% of the battery capacity after charging is finished;
scheme D: the charging station load is between the peak value range and the set range, and has a descending trend, the maximum charging quantity of the electric automobile is limited to b kWh, and the SOC upper limit of the electric automobile is 100% of the battery capacity after charging is finished;
scheme E: the load of the charging station is in a set range and has a descending trend, and the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished;
scheme F: the charging station load is between the set range and the valley range and has a descending trend, the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished, and charging excitation is added;
scheme G: when the load of the charging station is in a valley range, the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished, and meanwhile, charging excitation is reduced;
scheme H: if the load of the charging station is between the valley value range and the set range, limiting the maximum charging amount of the electric vehicle to ckWh, and limiting the SOC upper limit of the electric vehicle to 100% of the battery capacity after charging is finished;
wherein: a < b < c, m > n.
Specifically, in step S4, the expected waiting time f (t) is calculated as follows:
wherein: f (t) is the predicted waiting time of the electric vehicle, s is the number of charging piles in the charging station, N is the total number of electric vehicles waiting for charging queue and the electric vehicle being charged, f (x) is the maximum remaining charging time of the electric vehicle being charged, x represents the number of electric vehicles being charged, tyAnd (4) adopting the respectively reserved charging scheme and charging type to charge the electric vehicles waiting for the charging queue for the average maximum charging time required by charging.
Specifically, the charging types include a fast charging type and a slow charging type, the fast charging type is large in charging power, short in charging time and high in charging price compared with the slow charging type, and the slow charging type is small in charging power, long in charging time and low in charging price compared with the fast charging type.
Specifically, in step S6, the electric vehicle joins the waiting charging queue to follow the principle of first come first serve, and establishes an M/C model according to the relevant principle of the queuing theory, and preferentially meets the requirement of the fast charging type.
Specifically, the electric vehicle joins in the waiting charging queue to follow the principle of first come first serve, the requirement of the fast charging type is preferentially met, and the requirement of the fast charging type is preemptive, namely: under the condition that the charging power of the charging station is not higher than the set maximum total charging power, the slow charging type requirement follows a first-come-first-serve principle, and when the fast charging type requirement reaches the charging station, the charging station preferentially meets the fast charging type requirement; if the demand of the fast charging type reaches the charging station and the power of the charging station cannot meet the demand of the fast charging type, the charging station strips part of the charging power from the demand of the slow charging type in service to serve the demand of the fast charging type; meanwhile, in order to guarantee the service quality of the demand of the slow charge type, the total charging power of the demand of the set fast charge type is not higher than 65% of the set maximum total charging power.
Since there are limitations on the charging amount and the SOC after completion of charging in the charging scheme, the step S8 provides an option of a charging time extension scheme in consideration of the actual demand of the user; however, on the other hand, the charging efficiency of the charging station is improved by considering the number of the service vehicles of the charging station in a high unit time, and the unit electricity price of the extended time in the charging time extension scheme is far higher than that in the original charging scheme.
Has the advantages that: compared with the prior art, the bilateral weight-balance type optimal charging scheduling method in the electric automobile station has the following advantages that:
1. the invention adds two charging types of quick charging (large charging power, short charging time, but high charging price) and slow charging (small charging power, long charging time, and relatively low charging price), increases the channel of charging selection, supplements the user demand, and reduces the load surge;
2. aiming at the situation that the traditional charging station is easy to generate overload during operation under the condition of congestion of charging, the invention maintains the total power of the charging station to constantly meet the requirement of safe operation by limiting the charging power of vehicles, reduces the overload situation and ensures the continuity, stability and economy of the operation of the charging station;
3. aiming at the conditions that the waiting time of a user is long and the predicted queuing time is not clear, the charging scheme and the price incentive means are parallel, the charging quantity of the vehicles at the peak and the SOC after the charging are finished are limited, the charging time of the vehicles per unit can be predicted, the number of the vehicles served by the charging station in the unit time can be increased, the efficiency is improved, and the queuing time is reduced;
4. in the charging process, part of the charging vehicles can leave the system due to overlong queuing time, overhigh charging price and the like, so that the queuing system with the leaving mechanism is established, and a user leaving channel is established before entering the queuing system, in the queuing process and after the charging according to the scheme is finished.
Drawings
FIG. 1 is a schematic overall flow diagram of the present invention;
FIG. 2 is a schematic diagram of a charging scheme selection according to the present invention;
FIG. 3 is a flow chart illustrating a queuing process of the present invention;
fig. 4 is a schematic diagram of a charging time extension scheme selection process in the scheme of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
Fig. 1 shows a method for optimizing and scheduling charging in a bilateral weighting type electric vehicle station, comprising the following steps:
s1: the charging station acquires the real-time battery electric quantity and the preset charging time range of the electric automobile.
S2: and the charging station predicts the load change trend of the electric automobile within the preset charging time range according to the real-time load change condition of the charging station.
S3: the charging station recommends an optional charging scheme and a charging type to the electric vehicle according to the real-time battery electric quantity of the electric vehicle and the prediction result of the load change trend in the preset charging time range.
The load change of the charging station is fluctuant, the historical load change rule of the charging station is counted, the peak value range and the valley value range are determined firstly, and then a set range is selected according to the power of the charging station when the charging station is fully loaded; the charging station judges the load change trend according to the current load and the predicted load change curve; in step S3, the optional charging scheme is recommended according to the following information:
scheme A: if the load of the charging station is in a set range and has an ascending trend, limiting the maximum charging quantity of the electric vehicle to be a kWh, and limiting the upper limit of the SOC of the electric vehicle to be 100% of the battery capacity after charging is finished;
scheme B: the charging station load is between a set range and a peak value range, and the charging station load has an ascending trend, so that the maximum charging quantity of the electric vehicle is limited to a kWh, and the SOC upper limit of the electric vehicle is m% of the battery capacity after charging is finished;
scheme C: when the load of the charging station is in the peak value range, the maximum charge amount of the electric automobile is limited to a kWh, and the SOC upper limit of the electric automobile is n% of the battery capacity after charging is finished;
scheme D: the charging station load is between the peak value range and the set range, and has a descending trend, the maximum charging quantity of the electric automobile is limited to b kWh, and the SOC upper limit of the electric automobile is 100% of the battery capacity after charging is finished;
scheme E: the load of the charging station is in a set range and has a descending trend, and the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished;
scheme F: the charging station load is between the set range and the valley range and has a descending trend, the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished, and charging excitation is added;
scheme G: when the load of the charging station is in a valley range, the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished, and meanwhile, charging excitation is reduced;
scheme H: if the load of the charging station is between the valley value range and the set range, limiting the maximum charging amount of the electric vehicle to ckWh, and limiting the SOC upper limit of the electric vehicle to 100% of the battery capacity after charging is finished;
wherein: a < b < c, m > n.
The charging type comprises a fast charging type and a slow charging type, the fast charging type is large in charging power, short in charging time and high in charging price compared with the slow charging type, and the slow charging type is small in charging power, long in charging time and low in charging price compared with the fast charging type.
S4: the charging station predicts the predicted waiting time of the electric automobile according to the charging scheme and the charging type selected by the electric automobile and the charging schemes and the charging types of other electric automobiles which have reserved for charging; the expected wait time f (t) is calculated as follows:
wherein: f (t) is the predicted waiting time of the electric vehicle, s is the number of charging piles in the charging station, N is the total number of electric vehicles waiting for charging queue and the electric vehicle being charged, f (x) is the maximum remaining charging time of the electric vehicle being charged, x represents the number of electric vehicles being charged, tyAnd (4) adopting the respectively reserved charging scheme and charging type to charge the electric vehicles waiting for the charging queue for the average maximum charging time required by charging.
S5: the electric vehicle determines whether to reserve charging according to the predicted waiting time fed back by the charging station: if the charging is reserved, the flow proceeds to step S6; otherwise, the electric vehicle leaves.
S6: the electric automobile is added into the waiting charging queue, and whether the electric automobile is the first order of the waiting charging queue is judged: if yes, go to step S7; otherwise, return to step S5.
S7: and the electric automobile is charged according to the selected charging scheme and the selected charging type.
S8: in the process that the electric automobile is charged according to the reserved charging scheme and the reserved charging type, the charging pile recommends an optional charging time extension scheme to the electric automobile according to the battery electric quantity and the current load change trend after the electric automobile is charged.
S9: and the charging station adjusts the charging time according to the charging time extension scheme selected by the electric automobile.
The following describes an actual charging process of the electric vehicle with reference to fig. 1 to 4.
Step 1: the charging station acquires the real-time battery electric quantity and the preset charging time range of the electric automobile.
Step 2: and the charging station predicts the load change trend of the electric automobile in the preset charging time range according to the load change curve.
And step 3: the charging station recommends an optional charging scheme and a charging type to the electric vehicle according to the real-time battery electric quantity of the electric vehicle and the prediction result of the load change trend in the preset charging time range.
And 4, step 4: and (4) the electric automobile arrives, and a charging scheme and a charging type are selected.
And 5: and the charging station calculates the predicted waiting time according to the charging scheme and the charging type selected by the electric vehicle.
Step 6: the electric automobile selects whether to reserve charging according to the predicted waiting time: if the charging is reserved, the flow proceeds to step S7; otherwise, the electric vehicle leaves.
And 7: the electric automobile is added into the waiting charging queue, and whether the electric automobile is the first order of the waiting charging queue is judged: if yes, go to step S8; otherwise, return to step S6.
And 8: and the electric automobile is charged according to the selected charging scheme and the selected charging type.
And step 9: in the process that the electric automobile is charged according to the reserved charging scheme and the reserved charging type, the charging pile recommends an optional charging time extension scheme to the electric automobile according to the battery electric quantity and the current load change trend after the electric automobile is charged.
Step 10: and the charging station adjusts the charging time according to the charging time extension scheme selected by the electric automobile and calculates the extra charging price.
Step 11: and (5) the user charging process is finished, and the charging cost is calculated.
Step 12: the user pays the charging fee;
step 13: and when the charging is finished, the user leaves the charging station.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (6)
1. A bilateral balance type optimal scheduling method for charging in electric automobile stations is characterized in that: the method comprises the following steps:
s1: the method comprises the steps that a charging station acquires the real-time battery electric quantity and the preset charging time range of the electric automobile;
s2: the charging station predicts the load change trend of the electric automobile within the preset charging time range according to the real-time load change condition of the charging station;
s3: the charging station recommends an optional charging scheme and a charging type to the electric vehicle according to the real-time battery electric quantity of the electric vehicle and the prediction result of the load variation trend within the preset charging time range;
s4: the charging station predicts the predicted waiting time of the electric automobile according to the charging scheme and the charging type selected by the electric automobile and the charging schemes and the charging types of other electric automobiles which have reserved for charging;
s5: the electric vehicle determines whether to reserve charging according to the predicted waiting time fed back by the charging station: if the charging is reserved, the flow proceeds to step S6; otherwise, the electric automobile leaves;
s6: the electric automobile is added into the waiting charging queue, and whether the electric automobile is the first order of the waiting charging queue is judged: if yes, go to step S7; otherwise, return to step S5;
s7: the electric automobile is charged according to the selected charging scheme and the selected charging type;
s8: in the process of charging the electric automobile according to the reserved charging scheme and the reserved charging type, the charging pile recommends an optional charging time extension scheme to the electric automobile according to the battery electric quantity and the current load change trend after the electric automobile is charged;
s9: and the charging station adjusts the charging time according to the charging time extension scheme selected by the electric automobile.
2. The bilateral weighted electric automobile in-station charge optimal scheduling method of claim 1, characterized in that: the load change of the charging station is fluctuant, the historical load change rule of the charging station is counted, the peak value range and the valley value range are determined firstly, and then a set range is selected according to the power of the charging station when the charging station is fully loaded; the charging station judges the load change trend according to the current load and the predicted load change curve; in step S3, the optional charging scheme is recommended according to the following information:
scheme A: if the load of the charging station is in a set range and has an ascending trend, the maximum charging amount of the electric automobile is limited to akWh, and the SOC upper limit of the electric automobile is 100% of the battery capacity after charging is finished;
scheme B: the charging station load is between a set range and a peak value range, and the charging station load has an ascending trend, so that the maximum charging quantity of the electric vehicle is limited to a kWh, and the SOC upper limit of the electric vehicle is m% of the battery capacity after charging is finished;
scheme C: when the load of the charging station is in the peak value range, the maximum charge amount of the electric automobile is limited to a kWh, and the SOC upper limit of the electric automobile is n% of the battery capacity after charging is finished;
scheme D: the charging station load is between the peak value range and the set range, and has a descending trend, the maximum charging quantity of the electric automobile is limited to b kWh, and the SOC upper limit of the electric automobile is 100% of the battery capacity after charging is finished;
scheme E: the load of the charging station is in a set range and has a descending trend, and the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished;
scheme F: the charging station load is between the set range and the valley range and has a descending trend, the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished, and charging excitation is added;
scheme G: when the load of the charging station is in a valley range, the SOC upper limit of the electric vehicle is 100% of the battery capacity after charging is finished, and meanwhile, charging excitation is reduced;
scheme H: if the load of the charging station is between the valley value range and the set range, limiting the maximum charging amount of the electric vehicle to ckWh, and limiting the SOC upper limit of the electric vehicle to 100% of the battery capacity after charging is finished;
wherein: a < b < c, m > n.
3. The bilateral weighted electric automobile in-station charge optimal scheduling method of claim 1, characterized in that: in step S4, the expected waiting time f (t) is calculated as follows:
wherein: f (t) is the predicted waiting time of the electric vehicle, s is the number of charging piles in the charging station, N is the total number of electric vehicles waiting for charging queue and the electric vehicle being charged, f (x) is the maximum remaining charging time of the electric vehicle being charged, x represents the number of electric vehicles being charged, tyAnd (4) adopting the respectively reserved charging scheme and charging type to charge the electric vehicles waiting for the charging queue for the average maximum charging time required by charging.
4. The bilateral weighted electric automobile in-station charge optimal scheduling method of claim 1, characterized in that: the charging type comprises a fast charging type and a slow charging type, the fast charging type is large in charging power, short in charging time and high in charging price compared with the slow charging type, and the slow charging type is small in charging power, long in charging time and low in charging price compared with the fast charging type.
5. The bilateral weighted electric automobile in-station charge optimal scheduling method of claim 1, characterized in that: in step S6, the electric vehicle joins the waiting charging queue to follow the first-come first-serve principle, and establishes an M/C model according to the relevant principle of the queuing theory, and preferentially meets the requirement of the fast charging type.
6. The bilateral weighted electric automobile in-station charge optimal scheduling method of claim 5, characterized in that: the electric automobile is added into the waiting charging queue to follow the principle of first-come first-serve, the requirement of the fast charging type is met preferentially, and the requirement of the fast charging type is provided with the preemptive priority, namely: under the condition that the charging power of the charging station is not higher than the set maximum total charging power, the slow charging type requirement follows a first-come-first-serve principle, and when the fast charging type requirement reaches the charging station, the charging station preferentially meets the fast charging type requirement; if the demand of the fast charging type reaches the charging station and the power of the charging station cannot meet the demand of the fast charging type, the charging station strips part of the charging power from the demand of the slow charging type in service to serve the demand of the fast charging type; meanwhile, in order to guarantee the service quality of the demand of the slow charge type, the total charging power of the demand of the set fast charge type is not higher than 65% of the set maximum total charging power.
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| CN202010190880.9A CN111401640B (en) | 2020-03-18 | 2020-03-18 | Bilateral balance type charging optimization scheduling method in electric automobile station |
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| CN202010190880.9A CN111401640B (en) | 2020-03-18 | 2020-03-18 | Bilateral balance type charging optimization scheduling method in electric automobile station |
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