CN108054773A - A kind of V2G intelligent scheduling method of servicing for peak load - Google Patents
A kind of V2G intelligent scheduling method of servicing for peak load Download PDFInfo
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- CN108054773A CN108054773A CN201711427244.8A CN201711427244A CN108054773A CN 108054773 A CN108054773 A CN 108054773A CN 201711427244 A CN201711427244 A CN 201711427244A CN 108054773 A CN108054773 A CN 108054773A
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
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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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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
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- Mechanical Engineering (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The present invention discloses a collection power grid load monitoring, electric vehicle operational management, economic benefit clearing and the comprehensive intelligent scheduling method of servicing using service valuation quaternity, it is characterised in that comprises the following steps：(1) electric vehicle and network load vacancy data are gathered；(2) information collected using mobile Internet transmission；(3) information that background system Intelligent treatment collects, the energy storage provided for electricity shortage situation are discharged tactful；(4) instruction is assigned, guiding car owner completes energy storage electric discharge task；(5) through the income settlement that helps after car owner's completion task；(6) intelligent scheduling service system assesses energy storage electric discharge strategy implement effect automatically.Present invention is mainly used for solve the problem of that the nervous power supply of power grid temporary electricity is insufficient.While power system power supply reliability is improved, electric vehicle car owner also can therefrom make a profit, and realize power grid and the two-win of car owner.
Description
Technical field
The invention belongs to New-energy electric vehicles and power grid power supply reliability field, are related to a kind of for peak load of grid
V2G intelligent schedulings method of servicing and its operating process.
Background technology
The fast development of modern social economy causes the sustainable growth of each side power consumption, especially high in winter in summer load
Peak phase, the peak-valley difference of each bulk power grid increase increasingly, and the spare capacity deficiency of Generation Side causes the scheduling of power grid peak difficult, easily
There is the situation of subregion electricity shortage or even be present with power grid large-scale blackout, caused to social production and people's lives
Heavy losses and influence.Meanwhile rapid grow of power industry also brings many societies such as energy consumption and environmental pollution therewith
It can problem.Under the dual-pressure largely consumed in power load sustainable growth and the energy, the imbalance between power supply and demand in China is increasingly prominent
Go out.
Instantly national grid is directed to the power supply vacancy in rush hour, and there are three types of common solutions：Increase installed capacity,
Ordered electric and execution is taken to avoid the peak hour and ration the power supply.Since the power industry self-building cycle is long, investment amount is more, in electricity shortage
In the case of electric power facility is invested, not only time-consuming, and risk is also big, it is more likely that facing when facility puts into operation electric power needs
It asks and has declined and then the situation of power system capacity surplus.Ordered electric to the production of enterprise and commercial entity in coverage,
Work even democratic meeting causes considerable influence.The mode of rationing the power supply of avoiding the peak hour needs arrangement of time long in advance, in flexibility
On also have limitation, often react not prompt enough when dealing with urgent emergency situations, easily generate security risk.
For the sustainable development of power industry, it is necessary to find a stable approach of green.One side power grid is in itself
Improve and perfect is made, improves power supply reliability, ensures power quality, meets user demand as far as possible；On the other hand can incite somebody to action
Growing science and technology are applied to power grid construction, using regenerative resource, improve efficiency of energy utilization.Electric vehicle conduct
A kind of distributed mobile energy storage facility, future will be closely joined together in intelligent grid, thus V2G (Vehicle to
Grid) technology is come into being.In addition to the load as power grid, be also used as energy storage device access power grid is electric vehicle
Electric system provides service, the backup power supply in power grid electric energy insufficient supply as power grid.On the one hand in realization and bulk power grid
Load curve is evened up in complementation, alleviates power shortage；On the other hand, electric vehicle, which networks, participates in peak regulation with previous traditional peak regulation
Mode is compared, response speed faster with overall efficiency also higher.
With research and development, Applied D emonstration and the popularization of the electronic new-energy automobile product in China, new energy automobile operation management,
The technology platform of monitoring and service information system is developed in succession.The technology of current existing electric vehicle and power grid interaction or
Platform Designing be largely given from electric vehicle as interruptible load angle electric vehicle charge with Effective Regulation and
Guiding, and have ignored the power supply characteristic of electric vehicle.Although the imagination of electric vehicle intelligent vehicle mounted terminal shows that electric vehicle can
To provide spare or frequency modulation service to power grid, but it is limited only to that the extensive used for electric vehicle of charging and discharging can be unified
Family, such as bus, officer's car and unit vehicle etc., while guide how to lack specific strategy as stand-by power supply.Research
Investigation display, electric vehicle averagely have more than 90% in addition to the primary demand for meeting automobile user among one day
Time is at idle state.How in power grid peak times of power consumption to the private car electric vehicle energy storage rational distribution of resources, into
One step realizes that the raising of the energy storage utilization of resources of private savings electric vehicle and the reliability of power grid Peak power use becomes current
Important research topic.
The content of the invention
To solve the above problems, the present invention proposes a kind of collection power grid load monitoring, electric vehicle operational management, economic benefit
Clearing and the comprehensive V2G intelligent schedulings method of servicing and its operating process using service valuation quaternity.This method is main
Towards vast electric vehicle private savings user, by carrying out information gathering, intelligence to peak times of power consumption electric vehicle and network load
It analyzes and handles the data collected, provide scheme guiding for the electric vehicle energy storage rational distribution of resources, and give holding for scheme
Passerby, i.e. electric vehicle car owner, corresponding economic returns, while assessed after being carried out to scheme, realize power grid and electric vehicle
The two-win of car owner greatly improves the power supply reliability of peak times of power consumption power grid.
To achieve the above object, concrete scheme of the invention is as follows：
Service valuation four one is settled accounts and used to a kind of collection power grid load monitoring, electric vehicle operational management, economic benefit
The comprehensive V2G intelligent schedulings method of servicing and its operating process of body, comprise the following steps：
1) electric vehicle geographical location and SOC status informations and network load vacancy data are gathered；
2) information collected is transferred to the backstage of intelligent scheduling service system using mobile Internet；
3) information that background intelligent processing collects, provides the plan that electric vehicle discharges to electricity shortage area under emergency
Slightly；
4) instruction is assigned by intelligent scheduling service system, guiding car owner completes electric discharge task；
5) car owner independently accepts an order, and is followed by the income settlement by intelligent scheduling service system in completion task；
6) intelligent scheduling service system assesses electric discharge strategy implement effect automatically.
Further, in the step 1), it is real to capture electric vehicle geographical location using the vehicle-mounted alignment system of electric vehicle
When information, using car-mounted terminal obtain batteries of electric automobile remaining capacity information, utilize electric network data acquisition and monitoring system
(SCADA) integrate different zones power grid power load characteristic curve so as to calculate each regional power grid supply power have a deficit amount and
Power is had a deficit regional geography location information.
Further, in the step 2), using the existing communication technology, car owner logs in intelligent scheduling service system, i.e.,
The information of vehicles that car owner can be driven is transferred to the backstage of intelligent scheduling service system.Grid dispatching center takes with intelligent scheduling
Business system directly establishes the network interconnection, and the realtime power that each region can be directly read in intelligent scheduling service system is had a deficit
Situation.Once emergency service shortage of power occurs in some region, power grid is immediately to intelligent scheduling service system signal an alert.
Further, in the step 3), the backstage of intelligent scheduling service system carries out one after alarm signal is received
Series Intelligent processing：
S1, the power amount of having a deficit for calculating the region；
The geographical location of electric vehicle and SOC states are respectively measured in S2, analysis transportation network；
S3, electricity screening carry out first time screening according to SOC states to electric vehicle, and only SOC value is more than 50%
Vehicle can just participate in electric discharge scheduling；
S4, distance screening carry out programmed screening, with power according to the geographical location of each electric vehicle to electric vehicle
Centered on vacancy region, every kilometer outwards expands search turn for unit, count meet electric discharge scheduling electricity in each search turn will
The electric vehicle quantity asked, while the electricity total value that these electric vehicles are capable of providing is counted, until total value value is lost more than power
Owe value 115% when stop search；
S5, at least one circuit, bag are planned to electric vehicle according to the SOC states and geographical location of each electric vehicle
It includes：It discharges destination (referring to charging station), the time required to arriving at, needs the electricity to discharge and every circuit in destination
Default electric discharge remuneration.
Further, in the step 4), car owner weighs itself with after the multi-party interests of vehicle demand and electric discharge remuneration etc.
Autonomous selection submits circuit order for oneself best circuit for participating in scheduling electric discharge to intelligent scheduling service system.
Further, in the step 5), car owner reaches the order destination and completes after dispatching electric discharge task, intelligence
Dispatching service system can automatically confirm that order, and car owner's electric discharge economic returns is given according to the actual task situation that performs of car owner.
Further, the computational methods of car owner's electric discharge economic returns are specially：
Ci=kodi+kcSEVi；
Wherein, koFor car owner's cost depletions of unit distance, diRepresent the distance that i-th vehicle arrives at, kcTo be electronic
The unit price of power that automobile discharges to power grid, SEViRepresent i-th vehicle discharge electricity amount total during electric discharge scheduling is participated in.
Further, in the step 6), after electric vehicle reaches the destination completion electric discharge task, intelligent scheduling
Service system assesses this electric discharge strategy execution effect automatically, forms report and is shown in commenting for intelligent scheduling service system
Estimate unit.It specifically includes:
Reflect power grid power supply reliability, had a deficit according to power described in the participation electric discharge scheduling afterwards of rate index evaluation electric vehicle
Power grid supplies underpower block supply situation；
Reflect the participation enthusiasm of electric vehicle car owner, put according to the order speed of response of electric vehicle car owner and energy storage
Electric task performance level gives car owner's divided rank, and gives difference according to staged economic compensation mode in monthly comprehensive assessment
Grade car owner rewards accordingly.
Further, in the step 6), power supplies rate of having a deficit before evaluation index electric vehicle participates in electric discharge scheduling
Computational methods be specially：
Wherein, PLRepresent the power (in addition to EV loads) that load is absorbed from bulk power grid, PGRepresent the power of bulk power grid output.
Further, evaluation index electric vehicle participates in the computational methods that power after discharge energy-storage is dispatched supplies rate of having a deficit
Specially：
Wherein, N represents to participate in the total number of the electric car of energy storage electric discharge, SEViRepresent that i-th vehicle is participating in discharge energy-storage tune
Total discharge electricity amount during degree.
A kind of electric vehicle intelligent scheduling method of servicing for peak load of grid of the present invention, passes through SCADA system
The information resources of different zones power grid power load characteristic curve and electric vehicle various aspects are integrated, help solves current electricity
A series of problems, such as peak times of power consumption temporary electricity of Force system is in short supply carries for the electric vehicle energy storage rational distribution of resources and utilization
It is supported for scheme and direction guides, while given electric automobile main phase according to staged economic compensation mode and answer remuneration, realized
Grid company and the two-win of electric vehicle car owner.
Description of the drawings
Fig. 1 is the comprehensive intelligent scheduling service system scheduling flow schematic diagram of the present invention
Specific embodiment
The present invention is described in detail below in conjunction with the accompanying drawings：
Service valuation four one is settled accounts and used to a kind of collection power grid load monitoring, electric vehicle operational management, economic benefit
The comprehensive V2G intelligent schedulings method of servicing of body, scheduling flow is as shown in Figure 1, including physical system 1, information system and object
Reason system 2；The physical system 1 gathers electric vehicle geographical location and SOC status informations and power grid output power vacancy number
According to；The information that described information system is transmitted and processing is collected, while receive 2 feedack of physical system；The physics
System 2 executes instruction and feedback command performance.The present invention provides a comprehensive for electric system electricity supply falls short of demand situation
The App and its operating method of conjunction property intelligent scheduling service, comprise the following steps：
1) network load monitors
Grid dispatching center directly establishes the network interconnection with intelligent scheduling service App in physical system 1, utilizes SCADA
System combination different zones power grid power load characteristic curve is had a deficit amount and work(so as to calculate each regional power grid supply power
Rate is had a deficit regional geography location information.Once emergency service shortage of power occurs in some region, power grid takes immediately to intelligent scheduling
Business App signal an alerts.
2) electric vehicle operational management
In physical system 1 electric vehicle geographical location real time information, profit are captured using the vehicle-mounted alignment system of electric vehicle
Batteries of electric automobile remaining capacity information is obtained with car-mounted terminal.The existing communication technology, Che Zhudeng are utilized in information system
Record intelligent scheduling service App, you can the information of vehicles for being driven car owner is transferred to the background system of intelligent scheduling service App.
It is respectively measured after App receives the alarm signal that power grid is sent in information system, in intellectual analysis transportation network electronic
The geographical location of automobile and SOC states by following two reselection procedure, filter out the electric vehicle for reaching electric discharge scheduling requirement：
S1, first time screening carries out electric vehicle according to SOC states, also referred to as electricity screening, only SOC value is 50%
Above vehicle can just participate in electric discharge scheduling；
S2, programmed screening carrying out electric vehicle according to the geographical location of each electric vehicle, also referred to as distance is screened,
Centered on power shortage region, every kilometer outwards expands search turn for unit, counts and meets electric discharge scheduling in each search turn
The electric vehicle quantity of electricity requirement, while the electricity total value that these electric vehicles are capable of providing is counted, until total value value is more than
Power have a deficit value 115% when stop search；
According to the SOC states of each electric vehicle and geographical location to electric vehicle planning at least one in information system
Circuit includes：Discharge destination (referring to charging station), the time required to arriving at, needed in destination the electricity that discharges and
The default electric discharge remuneration of every circuit.
Car owner weighs itself with independently selection pair after the multi-party interests of vehicle demand and electric discharge remuneration etc. in physical system 2
Circuit order is submitted in oneself best circuit for participating in scheduling electric discharge, and to intelligent scheduling service App.
3) economic benefit is settled accounts
Car owner reaches the order destination and completes after dispatching electric discharge task in information system, intelligent scheduling service
App can automatically confirm that order, and car owner's electric discharge economic returns is given according to the actual task situation that performs of car owner.
The discharge computational methods of instant economic returns of car owner are specially：
Ci=kodi+kcSEVi；
Wherein, koFor car owner's cost depletions of unit distance, diRepresent the distance that i-th vehicle arrives at, kcTo be electronic
The unit price of power that automobile discharges to power grid, SEViRepresent i-th vehicle discharge electricity amount total during electric discharge scheduling is participated in.
In addition to speedy clearance, the car owner having outstanding performance can also obtain higher economic prize in monthly comprehensive assessment
It encourages.
4) service valuation is used
After electric vehicle reaches the destination completion electric discharge task, intelligent scheduling services App and this electric discharge strategy is held
Row effect is assessed automatically, forms the assessment unit that report is shown in App.It specifically includes:
S1, reflection power grid power supply reliability, bear in real time after grid dispatching center dispatches discharge energy-storage in physical system 2
Lotus situation feeds back to the background system of App, and background system supplies rate index of having a deficit according to power and the situation is assessed；
The have a deficit computational methods of rate of power are specially before electric vehicle participates in electric discharge scheduling：
Wherein, PLRepresent the power (in addition to EV loads) that load is absorbed from bulk power grid, PGRepresent the power of bulk power grid output.
Electric vehicle participates in the have a deficit computational methods of rate of power after electric discharge scheduling：
Wherein, N represents to participate in the total number of the electric car of energy storage electric discharge, SEViRepresent that i-th vehicle is participating in schedule periods of discharging
Between total discharge electricity amount.
S2, the participation enthusiasm for reflecting electric vehicle car owner, according to the order speed of response of electric vehicle car owner and storage
The task that can discharge performance level gives car owner's divided rank, and is given in monthly comprehensive assessment according to staged economic compensation mode
Different brackets car owner rewards accordingly.
A kind of V2G intelligent schedulings method of servicing and its operating process for peak load of grid is obtained accordingly.
This patent is occurred using a comprehensive electric vehicle intelligent scheduling service App for peak times of power consumption power grid
Power shortage problem, to the Peak power use phase have demand region carry out electric energy supply, effectively reduce electricity shortage region
Power supplies rate of having a deficit, and greatly alleviates power grid power shortage situation.In addition, intelligent scheduling service App can be played
Facilitate car owner using, additional income mode be provided for car owner, facilitate electric company and car owner controls, improves what car owner's vehicle was accustomed to
Effect.
Although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings above, not thereby limitation is of the invention
The scope of the claims, electric vehicle intelligent scheduling service App practical application can form powerful scale effect, except this patent
It is proposed solves the problems, such as that peak load of grid can also be applied to daily transport services, road delays the basic driving field such as stifled.
Every equivalent process frame made using description of the invention and accompanying drawing content, it is relevant to be directly or indirectly used in other
Technical field is included within the scope of the present invention.
Claims (7)
1. service valuation quaternity is settled accounts and used to a kind of collection power grid load monitoring, electric vehicle operational management, economic benefit
Comprehensive V2G intelligent schedulings method of servicing and its operating process, it is characterised in that comprise the following steps：
1) electric vehicle geographical location and SOC status informations and network load vacancy data are gathered；
2) information collected is transferred to the backstage of intelligent scheduling service system using mobile Internet；
3) information that background system Intelligent treatment collects provides the plan that electric vehicle discharges to electricity shortage area under emergency
Slightly；
4) instruction is assigned by intelligent scheduling service system, guiding car owner completes electric discharge task；
5) car owner independently accepts an order, and is followed by the income settlement by intelligent scheduling service system in completion task；
6) intelligent scheduling service system assesses electric discharge strategy implement effect automatically.
2. a kind of collection power grid load monitoring as described in claim 1, electric vehicle operational management, economic benefit clearing and use
The comprehensive V2G intelligent schedulings method of servicing and its operating process of service valuation quaternity, it is characterized in that, the step 1)
In, electric vehicle geographical location real time information is captured using the vehicle-mounted alignment system of electric vehicle, is obtained using car-mounted terminal electronic
Automobile batteries remaining capacity information is integrated different zones power grid electricity consumption with monitoring system (SCADA) using electric network data acquisition and is born
Lotus characteristic curve has a deficit amount so as to calculating each regional power grid supply power and power is had a deficit regional geography location information.
3. a kind of collection power grid load monitoring as described in claim 1, electric vehicle operational management, economic benefit clearing and use
The comprehensive V2G intelligent schedulings method of servicing and its operating process of service valuation quaternity, it is characterized in that, the step 2)
In, using the existing communication technology, car owner logs in intelligent scheduling service system, you can the information of vehicles for being driven car owner transmits
To the backstage of intelligent scheduling service system.Grid dispatching center directly establishes the network interconnection with intelligent scheduling service system, in intelligence
The realtime power that each region can be directly read on dispatching service system is had a deficit situation.Once there is urgent supply in some region
Electrical power shortage, power grid is immediately to intelligent scheduling service system signal an alert.
4. a kind of collection power grid load monitoring as described in claim 1, electric vehicle operational management, economic benefit clearing and use
The comprehensive V2G intelligent schedulings method of servicing and its operating process of service valuation quaternity, it is characterized in that, the step 3)
In, the backstage of intelligent scheduling service system carries out a series of Intelligent treatments after alarm signal is received：
S1, the power amount of having a deficit for calculating the region；
The geographical location of electric vehicle and SOC states are respectively measured in S2, analysis transportation network；
S3, electricity screening carry out first time screening, only vehicle of the SOC value more than 50% according to SOC states to electric vehicle
Electric discharge scheduling can just be participated in；
S4, distance screening carry out programmed screening, with power shortage according to the geographical location of each electric vehicle to electric vehicle
Centered on region, every kilometer outwards expands search turn for unit, count meet energy storage electric discharge scheduling electricity in each search turn will
The electric vehicle quantity asked, while the electricity total value that these electric vehicles are capable of providing is counted, until total value value is lost more than power
Owe value 115% when stop search；
S5, at least one circuit is planned to electric vehicle according to the SOC states and geographical location of each electric vehicle, including：
It discharges destination (referring to charging station), the time required to arriving at, the electricity that discharges and every circuit is needed in destination
Default electric discharge remuneration.
5. a kind of collection power grid load monitoring as described in claim 1, electric vehicle operational management, economic benefit clearing and use
The comprehensive V2G intelligent schedulings method of servicing and its operating process of service valuation quaternity, it is characterized in that, the step 4)
In, car owner according to itself, with many factors such as vehicle demand and electric discharge remuneration, independently for oneself best participation dispatch by selection
The circuit of electric discharge, and submit circuit order to intelligent scheduling service system.
6. a kind of collection power grid load monitoring as described in claim 1, electric vehicle operational management, economic benefit clearing and use
The comprehensive V2G intelligent schedulings method of servicing and its operating process of service valuation quaternity, it is characterized in that, the step 5)
In, car owner reaches the order destination and completes after dispatching electric discharge task, and intelligent scheduling service system can automatically confirm that order,
According to car owner it is actual perform task situation and give car owner accordingly discharge economic returns.
7. a kind of collection power grid load monitoring as described in claim 1, electric vehicle operational management, economic benefit clearing and use
The comprehensive V2G intelligent schedulings method of servicing and its operating process of service valuation quaternity, it is characterized in that, the step 6)
In, after electric vehicle reaches the destination completion electric discharge task, intelligent scheduling service system is to this electric discharge strategy execution
Effect is assessed automatically, forms the assessment unit that report is shown in intelligent scheduling service system.It specifically includes:
S1, reflection power grid power supply reliability, according to power supply have a deficit rate index evaluation electric vehicle participate in electric discharge scheduling after
The power grid electricity shortage block supply situation；
S2, the participation enthusiasm for reflecting electric vehicle car owner, put according to the order speed of response of electric vehicle car owner and energy storage
Electric task performance level gives car owner's divided rank, and gives car owner according to staged economic compensation mode in monthly comprehensive assessment
Corresponding reward.
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| CN108790893A (en) * | 2018-06-20 | 2018-11-13 | 广东电网有限责任公司电力科学研究院 | A kind of alternating-current charging pile and charge control method |
| CN108955711A (en) * | 2018-08-24 | 2018-12-07 | 广东工业大学 | A kind of air navigation aid applied to electric car intelligent recharge and discharge |
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| CN110027440A (en) * | 2019-03-29 | 2019-07-19 | 上海电机学院 | A kind of layering dispatching method based on V2G technical load peak period |
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| CN112600230A (en) * | 2020-12-17 | 2021-04-02 | 车主邦（北京）科技有限公司 | Charging and discharging control method, server, system, medium and computer equipment |
| CN114036459B (en) * | 2020-12-21 | 2023-10-13 | 中国科学院广州能源研究所 | Energy green degree calculation method for electric automobile based on V2G scheduling response |
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