CN110481384A - Based on the electric car peak capacity calculation method under the conditions of multifactor impact - Google Patents

Based on the electric car peak capacity calculation method under the conditions of multifactor impact Download PDF

Info

Publication number
CN110481384A
CN110481384A CN201910603092.5A CN201910603092A CN110481384A CN 110481384 A CN110481384 A CN 110481384A CN 201910603092 A CN201910603092 A CN 201910603092A CN 110481384 A CN110481384 A CN 110481384A
Authority
CN
China
Prior art keywords
electric car
indicate
peak
peak regulation
weather
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910603092.5A
Other languages
Chinese (zh)
Other versions
CN110481384B (en
Inventor
金锋
吴杰康
赵俊浩
叶辉良
任德江
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong University of Technology
Original Assignee
Guangdong University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong University of Technology filed Critical Guangdong University of Technology
Priority to CN201910603092.5A priority Critical patent/CN110481384B/en
Publication of CN110481384A publication Critical patent/CN110481384A/en
Application granted granted Critical
Publication of CN110481384B publication Critical patent/CN110481384B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/63Monitoring or controlling charging stations in response to network capacity
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The present invention relates to intelligent power grid technology fields, it is proposed a kind of electric car peak capacity calculation method based under the conditions of multifactor impact, the following steps are included: obtaining the electronic vehicle attitude information and charging station status information of electric car, then it is pre-processed;Pretreated electronic vehicle attitude information and charging station status information are completed according to described, is calculated in conjunction with the total revenue, weather influence degree value, SOC threshold for participating in peak regulation to electric car respectively apart from influence factor, weather influence factor, SOC threshold influence factor;Total revenue, weather influence degree, SOC threshold and the current charging pile quantity of peak regulation are participated according to the electric car being calculated, and calculate electric car peak capacity, the electric car peak capacity under the conditions of obtaining based on multifactor impact.Electric car peak capacity that the present invention is calculated while many factors influence is considered, the accuracy of peak capacity can be effectively improved.

Description

Based on the electric car peak capacity calculation method under the conditions of multifactor impact
Technical field
The present invention relates to intelligent power grid technology fields, more particularly, to a kind of electricity based under the conditions of multifactor impact Electrical automobile peak capacity calculation method.
Background technique
Electric automobile load can be used as source due to having the characteristics that charge-discharge electric power is big, peak regulation fast response time The important means of lotus coordination peak regulation.
Currently, accessing electricity to electric car for what the V2H mode (vehicle-to-house) of electric car was carried out Influence research, electric automobile load participation peak regulation research and V2H demand management project study of the net to network voltage, only consider The uncertainty of electric car scale, the uncertainty of battery capacity, the uncertainty of watt level or demand management etc. are single The influence of kind of condition element to electric car peak capacity, there is no in view of the quantity of electric automobile charging pile, distance and The peak capacity that many factors such as weather condition participate in peak regulation to electric car influences, therefore has some limitations.
Summary of the invention
The present invention is to overcome described in the above-mentioned prior art without considering that many factors participate in adjusting to electric car comprehensively The defect that the peak capacity at peak influences, provides a kind of electric car peak capacity calculating side based under the conditions of multifactor impact Method calculates electricity apart from influence factor, charging pile quantity influence factor, weather influence factor, SOC threshold influence factor by considering Electrical automobile peak capacity solves the problems, such as that the prior art has certain limitation.
In order to solve the above technical problems, technical scheme is as follows:
A kind of electric car peak capacity calculation method based under the conditions of multifactor impact, comprising the following steps:
S1: obtaining the electronic vehicle attitude information and charging station status information of electric car, wherein the charging station shape State information includes current charging pile quantity, is then located in advance to the electronic vehicle attitude information and charging station status information Reason;
S2: pretreated electronic vehicle attitude information and charging station status information are completed according to described, is influenced in conjunction with distance Factor, weather influence factor, SOC threshold influence factor participate in total revenue, the weather influence degree of peak regulation to electric car respectively Value, SOC threshold are calculated;
S3: according to the electric car that is calculated participate in the total revenue of peak regulation, weather influence degree value, SOC threshold and Charging pile quantity calculates electric car peak capacity, obtains based on apart from influence factor, charging pile quantity influence factor, weather The electric car peak capacity S (t) of influence factor, SOC threshold influence factor.
In the technical program, it is contemplated that apart from influence factor, weather influence factor, SOC threshold influence factor, charging pile number Influence of the influence factor to electric car peak capacity is measured, by the corresponding electronic vehicle attitude information of above-mentioned factor and charging Status information of standing carries out calculation processing, obtains total revenue, weather influence degree value, SOC threshold that electric car participates in peak regulation, then The peak capacity that electric car participates in peak regulation is calculated according to the corresponding numerical value of the above-mentioned multifactor impact condition being calculated, is obtained Based on the multifactor impact apart from influence factor, charging pile quantity influence factor, weather influence factor, SOC threshold influence factor Under the conditions of electric car peak capacity, to solve confinement problems existing in the prior art.
Preferably, in S1 step, pretreated mode packet is carried out to electronic vehicle attitude information and charging station status information Include normal distribution processing, prediction processing.
Preferably, in S1 step, electronic vehicle attitude information include the current state of electric car, mileage travelled information, Travel speed, information about power, charge-discharge electric power, battery capacity, charging station status information further include charging electricity price, weather condition.
Preferably, it in S2 step, is counted according to the total revenue that electronic vehicle attitude information participates in peak regulation to electric car The calculating process of calculation is as follows:
It calculates electric car and participates in the maintenance cost F that peak regulation generates:
F=F1-F0
F1=a+kL1
F0=a+kL0
Wherein, F1Indicate the accumulative traveling L of electric car1Maintenance cost caused by kilometer, F0Indicate that electric car adds up row Sail L0Maintenance cost caused by kilometer;L1Indicate that electric car participates in the accumulative mileage travelled before peak regulation, L0Indicate electric car Accumulative mileage travelled after participating in peak regulation;A indicates the fixed maintenance cost of electric car;K indicates electric car loss factor, takes Being worth range is 0~5;
Calculate the total revenue M that electric car participates in peak regulation:
Q=Q1-Q2
M=Q-F
Wherein, Q indicates net profit, Q1Indicate that electric car participates in the income of peak regulation, Q2Indicate that electric car participates in peak regulation type Formula distance consumes the expense that electricity generates;Indicate the electricity price of electric car charging,Indicate the peak phase andWhen When indicate trough period,When indicate the flat phase,When indicate peak period;The travel speed of v expression electric car.This is preferably Scheme is based primarily upon to be calculated apart from influence factor, wherein influence of the distance to electric car peak capacity is mainly reflected in Influence of the influence and distance that electric car is lost in distance to the total revenue for participating in peak regulation, therefore this preferred embodiment passes through meter The net profit Q that electric car participates in maintenance cost F and electric car participation peak regulation that peak regulation generates is calculated, is obtained for judging this Whether influence factor participates in the total revenue M that peak regulation has an impact to electric car.
Preferably, in S2 step, the weather shadow that weather participates in peak regulation to electric car is calculated according to charging station status information The calculation formula for ringing degree value θ is as follows:
θ=e
Wherein, γ indicates weather condition, and γ=1,2,3,4, and the weather condition includes sunny, cloudy, light rain or small Snow, heavy rain or severe snow indicate that weather condition is heavy rain or severe snow as γ=1, indicated as γ=2 weather condition be light rain or Slight snow indicates that weather condition is the cloudy day as γ=3, indicates that weather condition is sunny as γ=4.
In view of extreme weather conditions, such as peak regulation can be participated in automobile user when weather condition is heavy rain or severe snow Threaten, when weather condition overheats or is subcooled can to electric car there are a degree of damage, in this preferred embodiment, when Weather influence degree value θ is bigger, and the disturbance degree for indicating that weather influence factor participates in peak regulation to electric car is bigger, which influences Degree value θ is impacted for judging whether the influence factor participates in peak regulation to electric car.
Preferably, in S2 step, the SOC threshold that electric car participates in peak regulation is calculated according to electronic vehicle attitude informationCalculation formula it is as follows:
Wherein,Indicate that the desired electricity of automobile user, η indicate the charge efficiency of electric car, T table Show the duration of charge of electric car, CiIndicate the battery capacity of i-th electric car,Indicate that electric car is in l shape Charge-discharge electric power when state.
Preferably, in S3 step, the calculating process of electric car peak capacity S (t) is as follows:
Wherein,Indicate that t moment participates in the total revenue state of peak regulation, MtTotal receipts of peak regulation are participated in for t moment electric car Beneficial M, MξFor preset total revenue threshold value;Indicate i-th electric car in the SOC state of t moment,Indicate i-th SOC value of the electric car in t moment;Indicate that the weather of t moment influences state, θtIndicate the weather influence degree value of t moment θ, θξIndicate that preset weather influences threshold value;Indicate i-th electric car in the peak regulation state of t moment,Expression can be joined With peak regulation,Expression not may participate in peak regulation;ntIndicate that t moment reaches the electric car quantity of charging station, NtIndicate t moment Idle automobile quantity;Indicate that t moment i-th electric car in l charged state participates in the charge-discharge electric power of peak regulation, Wherein l=0,1, indicate quick-charge state as l=0, when l=1 indicates trickle charge state;For the number of charging station charging pile Amount.
Compared with prior art, the beneficial effect of technical solution of the present invention is: passing through electronic vehicle attitude information and charging Stand status information, calculate based on apart from influence factor, charging pile quantity influence factor, weather influence factor, SOC threshold influence because The electric car peak capacity of element can effectively improve to solve only to consider the confinement problems that single influence factor generates The accuracy of peak capacity.
Detailed description of the invention
Fig. 1 is the flow chart of the invention based on the electric car peak capacity calculation method under the conditions of multifactor impact.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent;
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent actual product Size;
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing 's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
As shown in Figure 1, being the present embodiment based on the electric car peak capacity calculation method under the conditions of multifactor impact Flow chart.
The present embodiment based on the electric car peak capacity calculation method under the conditions of multifactor impact, including following step It is rapid:
S1: the electronic vehicle attitude information and charging station status information of electric car are obtained, then to the electronic vapour Car state information and charging station status information are pre-processed, wherein acquired electronic vehicle attitude information includes multiple mesh Current state, mileage travelled information, the travel speed, information about power, charge-discharge electric power, battery capacity for marking electric car, are obtained The charging station status information taken includes charging pile quantity, charging electricity price, weather condition.
In the present embodiment, electronic vehicle attitude information is obtained by market survey, and be stored with charging station by transferring The database of historical data obtains charging station status information.To the electronic vehicle attitude information and charging station status information into During row is pretreated, the mileage travelled information in electronic vehicle attitude information, travel speed, electricity are believed in this step Breath, charge-discharge electric power, battery capacity carry out normal distribution processing respectively, take its mean value as electronic vehicle attitude information;It is electronic Current state in vehicle condition information includes idle in charging, which handles to obtain by stochastic prediction;Charging Charging pile quantity in status information of standing, charging electricity price are obtained by the historical data base in charging station, weather condition by with Machine prediction processing obtains.
In addition to above-mentioned acquisition methods, the current electronic vehicle attitude of real-time reception target electric car transmission can also be passed through Information, and the current charging station status information sent by real-time reception target charging station, realize electronic vehicle attitude information And the acquisition of charging station status information.
S2: it according to the pretreated electronic vehicle attitude information of above-mentioned completion and charging station status information, is influenced in conjunction with distance Factor, weather influence factor, SOC threshold influence factor participate in total revenue, the weather influence degree of peak regulation to electric car respectively Value, SOC threshold are calculated.
In this step, it is based on the calculating apart from influence factor, calculated the total revenue that electric car participates in peak regulation Journey is as follows:
It calculates electric car and participates in the maintenance cost F that peak regulation generates:
F=F1-F0
F1=a+kL1
F0=a+kL0
Wherein, F1Indicate the accumulative traveling L of electric car1Maintenance cost caused by kilometer, F0Indicate that electric car adds up row Sail L0Maintenance cost caused by kilometer;L1Indicate that electric car participates in the accumulative mileage travelled before peak regulation, L0Indicate electric car Accumulative mileage travelled after participating in peak regulation;A indicates the fixed maintenance cost of electric car;K indicates electric car loss factor, takes Being worth range is 0~5;
Calculate the total revenue M that electric car participates in peak regulation:
Q=Q1-Q2
M=Q-F
Wherein, Q indicates net profit, Q1Indicate that electric car participates in the income of peak regulation, Q2Indicate that electric car participates in peak regulation type Formula distance consumes the expense that electricity generates;Indicate the electricity price of electric car charging,Indicate the peak phase andWhen When indicate trough period,When indicate the flat phase,When indicate peak period;The travel speed of v expression electric car.
In this step, it is based on weather influence factor, the calculating for participating in the weather influence degree value θ of peak regulation to electric car is public Formula is as follows:
θ=e
Wherein, γ indicates weather condition, and γ=1,2,3,4, and the weather condition includes sunny, cloudy, light rain or small Snow, heavy rain or severe snow, as γ=1, expression weather condition is sunny, indicates that weather condition is the cloudy day as γ=2, when γ=3 When indicate weather condition be light rain or slight snow, as γ=4 indicate weather condition be heavy rain or severe snow.
In this step, it is based on SOC threshold influence factor, the SOC threshold of peak regulation is participated in electric carCalculating it is public Formula is as follows:
Wherein,Indicate that the desired electricity of automobile user, η indicate the charge efficiency of electric car, T table Show the duration of charge of electric car, CiIndicate the battery capacity of i-th electric car,Indicate that electric car is in l shape Charge-discharge electric power when state.
S3: total revenue, charge-discharge electric power value, the weather influence degree of peak regulation are participated according to the electric car being calculated Value, SOC threshold calculate electric car peak capacity, obtain based on apart from influence factor, charging pile quantity influence factor, weather The electric car peak capacity S (t) of influence factor, SOC threshold influence factor.
In this step, the calculating process of electric car peak capacity S (t) is as follows:
Wherein,Indicate that t moment participates in the total revenue state of peak regulation, MtTotal receipts of peak regulation are participated in for t moment electric car Beneficial M, MξFor preset total revenue threshold value, whenWhen indicate apart from influence factor to electric car participate in peak regulation generate shadow It rings, whenWhen indicate apart from influence factor to electric car participate in peak regulation do not have an impact;
Indicate that the weather of t moment influences state, θtIndicate weather influence degree the value θ, θ of t momentξIndicate preset day Gas influences threshold value, whenWhen indicate weather influence factor to electric car participate in peak regulation have an impact, whenWhen indicate Weather influence factor participates in peak regulation to electric car and does not have an impact;
Indicate that i-th electric car influences state in the SOC of t moment,Indicate i-th electric car in t The SOC value at quarter, whenWhen indicate SOC threshold to electric car participate in peak regulation have an impact, whenWhen indicate SOC Threshold value participates in peak regulation to electric car and does not have an impact;
Indicate i-th electric car in the peak regulation state of t moment,Indicate that i-th electric car may participate in tune Peak,Indicate that i-th electric car not may participate in peak regulation;
ntIndicate that t moment reaches the electric car quantity of charging station, NtIndicate the idle automobile quantity of t moment,It indicates T moment i-th electric car in l charged state participates in the charge-discharge electric power of peak regulation, and wherein l=0,1, indicate as l=0 Quick-charge state indicates trickle charge state when l=1,For the quantity of charging station charging pile.Wherein, the electric car participates in The charge-discharge electric power of peak regulationPass through the electronic vehicle attitude information acquisition.
In the present embodiment, during calculating electric car peak capacity S (t), further combined with charging Stake quantity influence factor, wherein the quantity of charging pile determines that synchronization can accommodate how many electric cars and carry out charge and discharge, because This present embodiment reaches the electric car quantity and charging station charging pile quantity of charging station by comparison, selects different calculating public Formula, to realize that obtained electric car peak capacity S (t) is based on apart from influence factor, weather influence factor, SOC threshold The various factors such as influence factor, charging pile quantity influence factor obtain.
In the present embodiment, it is contemplated that apart from influence factor, weather influence factor, SOC threshold influence factor, charging pile quantity Influence of many factors such as influence factor to electric car peak capacity, by believing the corresponding electronic vehicle attitude of above-mentioned factor Breath and charging station status information carry out calculation processing, obtain electric car participate in the total revenue of peak regulation, weather influence degree value, SOC threshold, then by judging that whether electric car participates in the total revenue, weather influence degree value, SOC threshold of peak regulation to electronic Automobile participates in peak regulation and has an impact, and further considers that charging pile quantity participates in the influence of peak regulation to electric car and to peak capacity It is calculated, to meet while consider the purpose of influence of the various factors to peak capacity, solution only considers single shadow The confinement problems that the factor of sound generates, can effectively improve the accuracy of peak capacity.
The same or similar label correspond to the same or similar components;
The terms describing the positional relationship in the drawings are only for illustration, should not be understood as the limitation to this patent;
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention Protection scope within.

Claims (7)

1. a kind of electric car peak capacity calculation method based under the conditions of multifactor impact, which is characterized in that including following Step:
S1: obtaining the electronic vehicle attitude information and charging station status information of electric car, wherein the charging station state is believed Breath includes current charging pile quantity, is then pre-processed to the electronic vehicle attitude information and charging station status information;
S2: completing pretreated electronic vehicle attitude information and charging station status information according to described, in conjunction with apart from influence factor, Weather influence factor, SOC threshold influence factor participate in total revenue, the weather influence degree value, SOC of peak regulation to electric car respectively Threshold value is calculated;
S3: the total revenue of peak regulation, weather influence degree value, SOC threshold and current are participated according to the electric car that is calculated Charging pile quantity calculates electric car peak capacity, obtains based on apart from influence factor, charging pile quantity influence factor, weather The electric car peak capacity S (t) of influence factor, SOC threshold influence factor.
2. electric car peak capacity calculation method according to claim 1, it is characterised in that: right in the S1 step It includes normal distribution processing, prediction processing that electronic vehicle attitude information and charging station status information, which carry out pretreated mode,.
3. electric car peak capacity calculation method according to claim 1, it is characterised in that: in the S1 step, institute Stating electronic vehicle attitude information includes the current state of electric car, mileage travelled information, travel speed, information about power, charge and discharge Electrical power, battery capacity, the charging station status information further include charging electricity price, weather condition.
4. electric car peak capacity calculation method according to claim 3, it is characterised in that: in the S2 step, root The calculating process calculated according to the total revenue that the electronic vehicle attitude information participates in peak regulation to electric car is as follows:
It calculates electric car and participates in the maintenance cost F that peak regulation generates:
F=F1-F0
F1=a+kL1
F0=a+kL0
Wherein, F1Indicate the accumulative traveling L of electric car1Maintenance cost caused by kilometer, F0Indicate the accumulative traveling L of electric car0 Maintenance cost caused by kilometer;L1Indicate that electric car participates in the accumulative mileage travelled before peak regulation, L0Indicate that electric car participates in Accumulative mileage travelled after peak regulation;A indicates the fixed maintenance cost of electric car;K indicates electric car loss factor, value model Enclose is 0~5;
Calculate the total revenue M that electric car participates in peak regulation:
Q=Q1-Q2
M=Q-F
Wherein, Q indicates net profit, Q1Indicate that electric car participates in the income of peak regulation, Q2Indicate that electric car participates in peak regulation pattern road Journey disappear power consumption generation expense;Indicate the electricity price of electric car charging,Indicate the peak phase andWhenWhen table Show trough period,When indicate the flat phase,When indicate peak period;The travel speed of v expression electric car.
5. electric car peak capacity calculation method according to claim 4, it is characterised in that: in the S2 step, root According to the charging station status information calculate weather to electric car participate in peak regulation weather influence degree value θ calculation formula such as Under:
θ=e
Wherein, γ indicates weather condition, and γ=1,2,3,4, the weather condition includes sunny, cloudy, light rain or slight snow, sudden and violent Rain or severe snow, as γ=1 indicate weather condition be heavy rain or severe snow, as γ=2 indicate weather condition be light rain or slight snow, It indicates that weather condition is the cloudy day as γ=3, indicates that weather condition is sunny as γ=4.
6. electric car peak capacity calculation method according to claim 5, it is characterised in that: in the S2 step, root The SOC threshold that electric car participates in peak regulation is calculated according to the electronic vehicle attitude informationCalculation formula it is as follows:
Wherein,Indicate that the desired electricity of automobile user, η indicate the charge efficiency of electric car, T indicates electronic The duration of charge of automobile, CiIndicate the battery capacity of i-th electric car,It indicates when electric car is in l state Charge-discharge electric power.
7. electric car peak capacity calculation method according to claim 6, it is characterised in that: in the S3 step, electricity The calculating process of electrical automobile peak capacity S (t) is as follows:
Wherein,Indicate that t moment participates in the total revenue state of peak regulation, MtThe total revenue M of peak regulation is participated in for t moment electric car, MξFor preset total revenue threshold value;Indicate that i-th electric car influences state in the SOC of t moment,Indicate i-th SOC value of the electric car in t moment;Indicate that the weather of t moment influences state, θtIndicate the weather influence degree value of t moment θ, θξIndicate that preset weather influences threshold value;Indicate i-th electric car in the peak regulation state of t moment,Expression can be joined With peak regulation,Expression not may participate in peak regulation;ntIndicate that t moment reaches the electric car quantity of charging station, NtIndicate t moment Idle automobile quantity;Indicate that t moment i-th electric car in l charged state participates in the charge-discharge electric power of peak regulation, Wherein l=0,1, indicate quick-charge state as l=0, when l=1 indicates trickle charge state;For the number of charging station charging pile Amount.
CN201910603092.5A 2019-07-05 2019-07-05 Electric vehicle peak regulation capacity calculation method based on multi-factor influence condition Active CN110481384B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910603092.5A CN110481384B (en) 2019-07-05 2019-07-05 Electric vehicle peak regulation capacity calculation method based on multi-factor influence condition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910603092.5A CN110481384B (en) 2019-07-05 2019-07-05 Electric vehicle peak regulation capacity calculation method based on multi-factor influence condition

Publications (2)

Publication Number Publication Date
CN110481384A true CN110481384A (en) 2019-11-22
CN110481384B CN110481384B (en) 2023-01-17

Family

ID=68546749

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910603092.5A Active CN110481384B (en) 2019-07-05 2019-07-05 Electric vehicle peak regulation capacity calculation method based on multi-factor influence condition

Country Status (1)

Country Link
CN (1) CN110481384B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111016725A (en) * 2019-12-31 2020-04-17 西安交通大学 Mode selection control method of energy storage type charging pile
CN112406567A (en) * 2020-10-23 2021-02-26 南方电网调峰调频发电有限公司 Charging prediction method and device for electric vehicle, computer equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102708427A (en) * 2012-06-29 2012-10-03 山东电力集团公司电力科学研究院 System and method for analyzing and determining influence of large-scale charging pile to community distribution system
CN104485690A (en) * 2014-12-18 2015-04-01 国家电网公司 Power grid multisource peak shaving method based on multistage dynamic programming
CN105095982A (en) * 2015-03-26 2015-11-25 电子科技大学 Electric automobile participation power grid frequency modulation scheduling method based on driving model
CN208359963U (en) * 2018-06-04 2019-01-11 厦门满能科技有限公司 A kind of charging pile for electric vehicle electric power resource intelligent dispensing system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102708427A (en) * 2012-06-29 2012-10-03 山东电力集团公司电力科学研究院 System and method for analyzing and determining influence of large-scale charging pile to community distribution system
CN104485690A (en) * 2014-12-18 2015-04-01 国家电网公司 Power grid multisource peak shaving method based on multistage dynamic programming
CN105095982A (en) * 2015-03-26 2015-11-25 电子科技大学 Electric automobile participation power grid frequency modulation scheduling method based on driving model
CN208359963U (en) * 2018-06-04 2019-01-11 厦门满能科技有限公司 A kind of charging pile for electric vehicle electric power resource intelligent dispensing system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孙波等: "多情形下电动汽车与分布式光伏协同优化调度算法", 《电力建设》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111016725A (en) * 2019-12-31 2020-04-17 西安交通大学 Mode selection control method of energy storage type charging pile
CN112406567A (en) * 2020-10-23 2021-02-26 南方电网调峰调频发电有限公司 Charging prediction method and device for electric vehicle, computer equipment and storage medium
CN112406567B (en) * 2020-10-23 2022-02-11 南方电网调峰调频发电有限公司 Charging prediction method and device for electric vehicle, computer equipment and storage medium

Also Published As

Publication number Publication date
CN110481384B (en) 2023-01-17

Similar Documents

Publication Publication Date Title
CN108955711B (en) Navigation method applied to intelligent charging and discharging of electric automobile
Yang et al. Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review
CN107017619B (en) The photovoltaic charge station network distribution type energy management method at non-cooperative game visual angle
CN103679299B (en) Take into account the electric automobile optimum Peak-valley TOU power price pricing method of car owner's satisfaction
Osório et al. Rooftop photovoltaic parking lots to support electric vehicles charging: A comprehensive survey
CN107092985A (en) A kind of active distribution network congestion Dispatching Method towards the flexible charge and discharge electroresponse of electric automobile group
CN109948823B (en) Self-adaptive robust day-ahead optimization scheduling method for light storage charging tower
CN109094381A (en) A kind of orderly charging method of electric automobile charging station
WO2019076245A1 (en) Method for determining charging strategy of spent batteries in battery swap station, and device
CN112487560B (en) Electric power traffic coupling system coordinated game scheduling method based on EV (electric vehicle) owner intention
CN108596667A (en) A kind of electric vehicle real time charging Prices Calculation based on car networking
Bashash et al. Optimizing demand response of plug-in hybrid electric vehicles using quadratic programming
CN109636008A (en) A kind of Electric Transit fast charge station service charge price acquisition methods
CN110481384A (en) Based on the electric car peak capacity calculation method under the conditions of multifactor impact
Kasturi et al. Optimal planning of charging station for EVs with PV-BES unit in distribution system using WOA
He et al. Expansion planning of electric vehicle charging stations considering the benefits of peak‐regulation frequency modulation
Ren et al. Impact analysis of electric vehicle price mechanism on load demand response of distribution network
Wang et al. Optimal demand side response to real time price signal using electric vehicles
Thakre et al. Potentially affect of a vehicle to grid on the electricity system
Xu et al. Prediction of Electric Vehicle Charging Demand in Rural Areas Based on Driving Track Data
Yu et al. Research on dynamic pricing strategy of electric vehicle charging based on game theory under user demand service scheme
Zhong et al. Enhancing peak load shifting effect by using smart contract of electric vehicle charging
CN109754128A (en) A kind of wind/light/storage/bavin micro-capacitance sensor Optimal Configuration Method of meter and meteorological wave characteristic difference typical scene
CN117996754B (en) Electric automobile ordered charge and discharge control method based on improved DBO algorithm
Lv et al. Estimation of plug-in electric vehicles schedulable capacity

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant