CN109217310A - A kind of orderly charge control method of electric car considering new energy consumption - Google Patents
A kind of orderly charge control method of electric car considering new energy consumption Download PDFInfo
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- CN109217310A CN109217310A CN201811250630.9A CN201811250630A CN109217310A CN 109217310 A CN109217310 A CN 109217310A CN 201811250630 A CN201811250630 A CN 201811250630A CN 109217310 A CN109217310 A CN 109217310A
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
-
- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
A kind of orderly charge control method of electric car considering new energy consumption, comprising the following steps: 1) use tou power price mechanism, be divided into 24 periods by the hour for one day, the price that charges per hour is different；2) the generation of electricity by new energy power prediction value and charging price of the period, the electric car charging price of the day part generation of electricity by new energy power output size prediction value decision period are updated before each period starts；3) total cost minimum is charged as Optimized model objective function using power distribution network curve load peak-valley difference minimum and user；4) grid-connected power generation system is built in charging station, is preferentially charged using new energy to electric car.The purpose of the invention is to provide a kind of to reduce network load peak-valley difference and user and charge total cost, the orderly charge control method of electric car of the considerations of also helping the on-site elimination of new energy, utilization rate of the electric car to renewable energy can be effectively improved new energy consumption.
Description
Technical field
The invention belongs to electric vehicle engineering fields, and in particular to it is a kind of consider new energy consumption electric car orderly fill
Electric control method.
Background technique
Fossil energy deficiency and environmental pollution is serious be restrict social development two big resistances, fuel-engined vehicle exactly cause this
" main force " of two large problems.Electric car energy replacing oil by electricity can be effectively relieved dependence of the China to petroleum import, and can reduce
Exhaust emission improves air quality.With electric car ownership sustainable growth, electric car scale networking, electric car
Electric charging device lack and its cruising ability is insufficient, operation and control to power grid bring new opportunities and challenges.And electricity
Electrical automobile user would generally cause electrical network capacity insufficient, not only to the stability of power grid in the unordered charging in network load peak period
Generate it is certain influence, can also cause the side such as voltage control, harmonic wave, the equilibrium of supply and demand, relay protection and the problem of.Meanwhile to meet
Peak load demand and newly-increased power generation capacity, also result in system investment cost and operating cost increase.As society is to electric power
Demand is growing day by day, requirement to power supply reliability is higher and higher, various new energies are also continuous mature.Although renewable
Energy total power generation increases year by year, but its power output has intermittence, and grid-connected consumption is difficult, has seriously affected China's renewable energy
The tremendous development of industry.
In view of distributed generation resource can both be connected to the grid, can also be run in a manner of microgrid, and electric car charges
Also there is dispersibility, independence and randomness, under the premise of not influencing automobile user use, to extensive electric car
Charging behavior carry out reasonable Optimized Operation, the orderly charging of joint new energy consumption research electric car, to effectively flat
While pressing down network load fluctuation, the extensive development of new energy is adapted to.
It finds by prior art documents, the active distribution network multiple-objection optimization of the access containing extensive electric car
Dispatching method (Xiao Hao, Pei Wei, the active distribution network Multiobjective Optimal Operation method that hole power is accessed containing extensive electric car
[J] electrotechnics journal, 2017,32 (S2): 179-189.) propose it is minimum and electric with the integrated operation cost of distribution web area
The minimum control target of net load curve variance establishes Optimal Operation Model, and the charging for coordinating network load and electric car needs
It asks.(Yang Bing, Wang Lifang, Liao Chenglin wait distributed electric automobile to have to distributed electric automobile sequential charging control system model
Sequence charge control system model [J] Automation of Electric Systems, 2015,39 (20): 41-46.) propose that a kind of electric car is orderly
The Controlling model of charging directly controls the charging behavior of each electric car by centralized-control center, realizes network load side
The smallest control target of difference.Electric car charge and discharge Multiobjective Optimal Operation (Wei great Jun, Zhang Chenghui, grandson based on tou power price
Wave waits electric car charge and discharge Multiobjective Optimal Operation [J] the electric power network technique of based on tou power price, 2014,38 (11):
It 2972-2977.) proposes to use time-of-use tariffs, the charging that peak-to-valley-puts down three periods is formulated according to network load situation in one day
Price establishes the orderly charge and discharge mould of electric car to minimize user's charging cost and network load fluctuation as control target
Type.(Yang Xiaodong, Zhang Youbing, Zhao Bo wait to supply to the automatic demand response method of electric car charge and discharge of supply and demand two sides collaboration optimization
Automatic demand response method [J] the Proceedings of the CSEE of electric car charge and discharge for needing two sides collaboration to optimize, 2017,37
(01): 120-130.) propose it is a kind of using both user and power grid benefit as the coordinate responses strategy of target, with charge and discharge
Electric price difference is excitation, establish user from response decision modle, improve user's charge and discharge income, improve network load fluctuation.
Above-mentioned technical literature does not consider there is charging consumption new energy using electric car.In consideration of it, present invention joint is new
Energy consumption studies the orderly charging of electric car, while reducing network load fluctuation, new energy can be promoted to dissolve.
Summary of the invention
The purpose of the invention is to provide it is a kind of can reduce network load peak-valley difference and user and charge total cost, it is also advantageous
In the on-site elimination of new energy, the electricity of the considerations of utilization rate of the electric car to renewable energy can be effectively improved new energy consumption
The orderly charge control method of electrical automobile.
The purpose of invention is achieved in that
A kind of orderly charge control method of electric car considering new energy consumption, comprising the following steps:
1) tou power price mechanism is used, was divided into 24 periods by the hour for one day, the price that charges per hour is different；
2) generation of electricity by new energy power prediction value and charging price, the day part that the period is updated before each period starts are new
The electric car charging price of the energy generated output size prediction value decision period；
3) total cost minimum is charged as Optimized model objective function using power distribution network curve load peak-valley difference minimum and user；
4) grid-connected power generation system is built in charging station, is preferentially charged using new energy to electric car.
In step 2), the relationship for the price and generation of electricity by new energy prediction power of charging are as follows:: The number of segment when dispatching cycle that wherein T is one day；Pn' (t) be t period generation of electricity by new energy prediction power；
For generation of electricity by new energy predicted mean vote in one day；C is horizontal base electricity price.
In step 3), the constraint conditions such as user's charge requirement and generation of electricity by new energy unit output are comprehensively considered, establish more
Objective optimization model.
In step 3), comprising the following steps:
1) objective function is established；The objective function established includes total with the power grid of the minimum target foundation of load peak-valley difference
The smallest objective function of load curve peak-valley difference, and total cost is charged most with the user that the minimum target of the total cost that charges is established
Low objective function；
2) constraint condition is determined.
It is above-mentioned to establish the smallest objective function of power grid total load curve peak-valley difference are as follows: f1=min [maxP (t)-minP
(t)]；P (t)=Pb(t)+Pev(t)；
In formula: P (t) is the distribution network load accessed containing electric car the t period；PbIt (t) is t period power distribution network original minus
Lotus；PevIt (t) is t period electric car charging load.
The minimum objective function of user's charging total cost of above-mentioned foundation are as follows:
In formula: PiIt (t) is charge power of the electric car i in the t period.
Above-mentioned constraint condition includes 1) power-balance constraint condition, and 2) charging time constraint, 3) charge requirement constraint, 4) it is new
Energy units limits, 5) charge power constraint.
Above-mentioned 1) power-balance constraint: Pn(t)+Pgrid(t)=Pb(t)+Pev(t)+Ploss(t), in formula: Pn(t) be t when
Section generation of electricity by new energy power；PgridIt (t) is the t period to power grid purchase of electricity；PbIt (t) is t period power distribution network original loads；Ploss(t)
For the loss of t period circuit network；
2) charging time constrains: Tendi≤Ti, in formula: TendiFor the charging end time of vehicle i；TiFor the user of vehicle i
It is expected that charge completion time；
3) charge requirement constrains: SOCendi≥SOCi；In formula: SOCendiCharged shape when for electric car i charging complete
State；SOCiFor the desired state-of-charge of electric car i user；
4) new energy units limits:In formula:Respectively new energy goes out activity of force
Bound；
5) charge power constrains: Pi min≤Pi(t)≤Pi max；In formula: Pi min、Pi maxRespectively electric car i allows to charge
The bound of power.
By adopting the above technical scheme, following technical effect can be brought:
A kind of dynamic sharing Electricity Price Strategy proposed by the present invention, it is right under the premise of not influencing automobile user use
The charging behavior of extensive electric car carries out reasonable Optimized Operation, and utilizes electric car charging and new energy harmonizing
Characteristic, being charged with user, total cost is minimum and the minimum optimization aim of network load peak-valley difference, comprehensively considers user's charge requirement
With the constraint conditions such as generation of electricity by new energy unit output, Model for Multi-Objective Optimization is established.By reasonably distributing filling for electric car
Electric time and charge power, joint consider new energy consumption, and guidance electric car orderly charges.The strategy can not only reduce power grid
Load peak-valley difference and user charge total cost, also help the on-site elimination of new energy, can effectively improve electric car to can be again
The utilization rate of the raw energy.
Detailed description of the invention
The invention will be further described with example with reference to the accompanying drawing:
Fig. 1 is whole control flow chart of the invention；
Fig. 2 is tou power price control flow chart proposed by the present invention.
Specific embodiment
A kind of orderly charge control method of electric car for considering new energy consumption, feature exist as depicted in figs. 1 and 2
In, the following steps are included:
1) tou power price mechanism is used, was divided into 24 periods by the hour for one day, the price that charges per hour is different；
2) generation of electricity by new energy power prediction value and charging price, the day part that the period is updated before each period starts are new
The electric car charging price of the energy generated output size prediction value decision period；
3) total cost minimum is charged as Optimized model objective function using power distribution network curve load peak-valley difference minimum and user；
4) grid-connected power generation system is built in charging station, is preferentially charged using new energy to electric car.
In step 2), the relationship of charging price and generation of electricity by new energy prediction power is The number of segment when dispatching cycle that wherein T is one day；Pn' (t) be t period generation of electricity by new energy prediction power；
For generation of electricity by new energy predicted mean vote in one day；C is horizontal base electricity price.
In step 3), the constraint conditions such as user's charge requirement and generation of electricity by new energy unit output are comprehensively considered, establish more
Objective optimization model.
When establishing Model for Multi-Objective Optimization, specifically, the following steps are included:
1) objective function is established；The objective function established includes total with the power grid of the minimum target foundation of load peak-valley difference
The smallest objective function of load curve peak-valley difference, and total cost is charged most with the user that the minimum target of the total cost that charges is established
Low objective function；
Specifically, establishing the smallest objective function of power grid total load curve peak-valley difference are as follows: f1=min [maxP (t)-minP
(t)]；P (t)=Pb(t)+Pev(t)；In formula: P (t) is the distribution network load accessed containing electric car the t period；Pb(t) be t when
Section power distribution network original loads；PevIt (t) is t period electric car charging load.
Impact, reduction network load fluctuation of the electric car networking charging to power grid can be reduced in this way；
The minimum objective function of total cost specifically, the user established charges are as follows:
In formula: PiIt (t) is charge power of the electric car i in the t period.
It can promote consumption new energy, in conjunction with prepared dynamic sharing electricity price to improve user's charging economy in this way；
2) constraint condition is determined, specifically, constraint condition includes 1) power-balance constraint condition, 2) charging time constraint,
3) charge requirement constrains, and 4) new energy units limits, 5) charge power constraint.
Each constraint condition is specific as follows:
1) power-balance constraint: Pn(t)+Pgrid(t)=Pb(t)+Pev(t)+Ploss(t), in formula: Pn(t) new for the t period
Energy generated output；PgridIt (t) is the t period to power grid purchase of electricity；PbIt (t) is t period power distribution network original loads；PlossIt (t) is t
The loss of period circuit network；
2) charging time constrains: Tendi≤Ti, in formula: TendiFor the charging end time of vehicle i；TiFor the user of vehicle i
It is expected that charge completion time；
3) charge requirement constrains: SOCendi≥SOCi；In formula: SOCendiCharged shape when for electric car i charging complete
State；SOCiFor the desired state-of-charge of electric car i user；
4) new energy units limits:In formula:Respectively new energy goes out activity of force
Bound；
5) charge power constrains: Pi min≤Pi(t)≤Pi max；In formula: Pi min、Pi maxRespectively electric car i allows to charge
The bound of power.
In the present invention, electric car charging load and conventional power load charge are consistent when unordered charging, all use water
Flat line electricity price c.Tou power price is orderly used when charging, it is each to formulate according to day part generation of electricity by new energy power output size in one day
The charging price of period.It is preferentially charged using generation of electricity by new energy to electric car, when generation of electricity by new energy amount is unable to satisfy electronic vapour
When vehicle charging load, the electricity bought from power grid is recycled.The charging price of electric car is sent out on the basis of electricity price c with new energy
Electric quantity change, the price that charges in the big period of contributing in generation of electricity by new energy accordingly reduce；Conversely, the charging price of the period is corresponding
It increases.Under the premise of not influencing user and normally going on a journey, automobile user is to reduce charging expense to select as far as possible in electricity price
The charging of low ebb section.It shifts charging load in time using price difference, utmostly dissolves generation of electricity by new energy.In this tou power price
Under the regulation of strategy, user's charging expense and new energy consumption measurer have certain correlation, the wind when the total cost that charges is lower
Electric consumption amount is accordingly larger.
Claims (8)
1. a kind of orderly charge control method of electric car for considering new energy consumption, which comprises the following steps:
1) tou power price mechanism is used, was divided into 24 periods by the hour for one day, the price that charges per hour is different；
2) the generation of electricity by new energy power prediction value and charging price of the period, day part new energy are updated before each period starts
The electric car charging price of the generated output size prediction value decision period；
3) total cost minimum is charged as Optimized model objective function using power distribution network curve load peak-valley difference minimum and user；
4) grid-connected power generation system is built in charging station, is preferentially charged using new energy to electric car.
2. the electric car orderly charge control method according to claim 1 for considering new energy consumption, it is characterised in that:
In step 2), the relationship for the price and generation of electricity by new energy prediction power of charging are as follows: The number of segment when dispatching cycle that wherein T is one day；P′nIt (t) is t period generation of electricity by new energy prediction power；
For generation of electricity by new energy predicted mean vote in one day；C is horizontal base electricity price.
3. the electric car orderly charge control method according to claim 1 or 2 for considering new energy consumption, feature exist
In: in step 3), comprehensively considers the constraint conditions such as user's charge requirement and generation of electricity by new energy unit output, it is excellent to establish multiple target
Change model.
4. the electric car orderly charge control method according to claim 3 for considering new energy consumption, it is characterised in that:
In step 3), comprising the following steps:
1) objective function is established；The objective function established includes the power grid total load established with the minimum target of load peak-valley difference
The smallest objective function of curve peak-valley difference, and it is minimum with user's charging total cost that the minimum target of the total cost that charges is established
Objective function；
2) constraint condition is determined.
5. the electric car orderly charge control method according to claim 4 for considering new energy consumption, it is characterised in that:
It is described to establish the smallest objective function of power grid total load curve peak-valley difference are as follows: f1=min [maxP (t)-minP (t)]；P (t)=Pb
(t)+Pev(t)；
In formula: P (t) is the distribution network load accessed containing electric car the t period；PbIt (t) is t period power distribution network original loads；Pev
It (t) is t period electric car charging load.
6. the electric car orderly charge control method according to claim 4 for considering new energy consumption, it is characterised in that:
The minimum objective function of user's charging total cost of the foundation are as follows:
In formula: PiIt (t) is charge power of the electric car i in the t period.
7. the electric car orderly charge control method according to claim 4 for considering new energy consumption, which is characterized in that
The constraint condition includes 1) power-balance constraint condition, and 2) charging time constraint, 3) charge requirement constraint, 4) new energy power output
Constraint, 5) charge power constraint.
8. the electric car orderly charge control method according to claim 7 for considering new energy consumption, which is characterized in that
1) power-balance constraint: Pn(t)+Pgrid(t)=Pb(t)+Pev(t)+Ploss(t), in formula: PnIt (t) is t period new energy
Generated output；PgridIt (t) is the t period to power grid purchase of electricity；PbIt (t) is t period power distribution network original loads；PlossIt (t) is the t period
Circuit network loss；
2) charging time constrains: Tendi≤Ti, in formula: TendiFor the charging end time of vehicle i；TiIt is expected for the user of vehicle i
Charge completion time；
3) charge requirement constrains: SOCendi≥SOCi；In formula: SOCendiState-of-charge when for electric car i charging complete；SOCi
For the desired state-of-charge of electric car i user；
4) new energy units limits:In formula:Respectively new energy goes out activity of force or more
Limit；
5) charge power constrains: Pi min≤Pi(t)≤Pi max；In formula: Pi min、Pi maxRespectively electric car i allows charge power
Bound.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109986989A (en) * | 2019-04-17 | 2019-07-09 | 三峡大学 | A kind of orderly charging method of electric car promoting new energy consumption |
| CN110445159A (en) * | 2019-08-08 | 2019-11-12 | 国网天津市电力公司 | Improve the orderly charge control method of electric car of large-scale photovoltaic consumption |
| CN110929454A (en) * | 2019-11-21 | 2020-03-27 | 国网江苏省电力有限公司南通供电分公司 | Method for researching interaction mechanism of active power distribution network, distributed power supply, energy storage and diverse loads |
| CN110979085A (en) * | 2019-11-29 | 2020-04-10 | 深圳供电局有限公司 | Method, device and equipment for regulating and controlling charging of electric automobile |
| CN111126765A (en) * | 2019-11-22 | 2020-05-08 | 广东电网有限责任公司 | Electric automobile group joint optimization method and system |
| CN111619394A (en) * | 2020-05-19 | 2020-09-04 | 上海电机学院 | Time-of-use electricity price-based orderly charging and discharging method for electric bus |
| CN112101735A (en) * | 2020-08-19 | 2020-12-18 | 清华大学 | Electric vehicle charging scheduling system and control method |
| CN112952880A (en) * | 2021-03-19 | 2021-06-11 | 国网安徽省电力有限公司经济技术研究院 | Electric vehicle grid-connected point navigation and charging and discharging control method for improving new energy consumption |
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| CN113765127A (en) * | 2021-07-22 | 2021-12-07 | 国网安徽省电力有限公司合肥供电公司 | Multi-station integrated optical storage, charging and conversion coordination control method |
| CN113794215A (en) * | 2021-08-20 | 2021-12-14 | 国网电力科学研究院有限公司 | Electric automobile and renewable energy source coordinated optimization method and system |
| CN113954680A (en) * | 2021-12-07 | 2022-01-21 | 国网浙江杭州市萧山区供电有限公司 | Electric vehicle charging control method based on charging time interval optimization |
| CN114268099A (en) * | 2021-12-28 | 2022-04-01 | 西安交通大学 | Electric vehicle load management method based on charging station pricing strategy |
| CN115848196A (en) * | 2022-12-07 | 2023-03-28 | 南通国轩新能源科技有限公司 | Electric automobile ordered charging guide method based on dynamic demand and new energy consumption |
| CN117060506A (en) * | 2023-10-12 | 2023-11-14 | 国网天津市电力公司培训中心 | Electric automobile and photovoltaic collaborative optimization method and device considering green electricity charging mode |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106230020A (en) * | 2016-08-11 | 2016-12-14 | 浙江工业大学 | The electric automobile interactive response control method that distributed power source is dissolved is considered under a kind of micro-capacitance sensor |
| CN106410861A (en) * | 2016-11-04 | 2017-02-15 | 浙江工业大学 | Microgrid optimizing operation real-time control method based on schedulable ability |
| CN106505560A (en) * | 2016-11-28 | 2017-03-15 | 无锡智合电力技术有限公司 | A kind of network optimization operation method of many policy co-ordinations based on response priority |
| CN107745650A (en) * | 2017-10-26 | 2018-03-02 | 电子科技大学 | A kind of orderly charge control method of electric automobile based on Peak-valley TOU power price |
-
2018
- 2018-10-25 CN CN201811250630.9A patent/CN109217310A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106230020A (en) * | 2016-08-11 | 2016-12-14 | 浙江工业大学 | The electric automobile interactive response control method that distributed power source is dissolved is considered under a kind of micro-capacitance sensor |
| CN106410861A (en) * | 2016-11-04 | 2017-02-15 | 浙江工业大学 | Microgrid optimizing operation real-time control method based on schedulable ability |
| CN106505560A (en) * | 2016-11-28 | 2017-03-15 | 无锡智合电力技术有限公司 | A kind of network optimization operation method of many policy co-ordinations based on response priority |
| CN107745650A (en) * | 2017-10-26 | 2018-03-02 | 电子科技大学 | A kind of orderly charge control method of electric automobile based on Peak-valley TOU power price |
Non-Patent Citations (1)
| Title |
|---|
| HONG LIU, PINGLIANG ZENG, JIANYI: "An optimization strategy of controlled electric vehicle charging considering demand side response and regional wind and photovoltaic", 《JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY》 * |
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