CN112801447A - Intelligent charging network system and electric vehicle charging scheduling method based on same - Google Patents
Intelligent charging network system and electric vehicle charging scheduling method based on same Download PDFInfo
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- H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
Abstract
The invention provides an intelligent charging network system and an electric vehicle charging scheduling method based on the system. The system controls the charging and discharging states of the intelligent charging pile and the distributed energy according to the difference value between the acquired user side electricity demand and the pre-acquired average load of the power grid, so that the load peak-valley difference of the power grid is reduced. The method comprises the following steps: controlling the intelligent charging pile to immediately charge the automobile according to the immediate charging request of the automobile; according to the appointed charging request of the automobile, the intelligent charging pile is controlled to charge the automobile, and the charging cost is minimized; according to the intelligent scheduling charging request of the automobile, the intelligent charging pile is controlled to charge the automobile in the low-price valley period of the electricity price, and when the automobile is the automobile with the V2G function, the automobile is controlled to discharge in the high-price peak period of the electricity price and the low-price peak period of the electricity price. According to the invention, the problem that the conventional electric automobile dispatching system based on the modern heuristic algorithm cannot solve the problem that the large-scale electric automobile charging influences the normal operation of a power grid can be solved.
Description
Technical Field
The invention belongs to the technical field of electric vehicle charging, and particularly relates to an intelligent charging network system applied to an electric vehicle and an electric vehicle charging scheduling method based on the intelligent charging network system.
Background
As a novel vehicle, compared with a fuel automobile, the electric automobile can reduce the consumption of petroleum energy and realize zero pollution emission. Today, environmental protection and petroleum resources are increasingly valued, countries have come to a policy for promoting the development of electric vehicles in order to promote the development of electric vehicles, and therefore, electric vehicles gradually become a trend to replace fuel vehicles. However, as electric vehicles are developed, their charging needs are increasing. The electric automobile is a novel power load, the load condition of a power grid can be changed by large-scale electric automobile charging, the charging period of the current electric automobile is seriously overlapped with the peak period of the residential life power load, the peak load of the power grid formed by overlapping the power consumption period can further increase the peak valley difference of the power grid load, and further the stable operation of the power grid is influenced.
Based on the above background, it is necessary to schedule charging of electric vehicles. The existing charging scheduling system of the electric automobile mainly utilizes modern heuristic algorithms such as a genetic algorithm, an ant colony algorithm and the like, matching results generated by the algorithms are difficult to achieve the purpose of optimal resource allocation, research aiming at complex charging behaviors of the electric automobile is lacked, and the problem that the normal operation of a power grid is influenced by large-scale electric automobile charging cannot be effectively solved.
Disclosure of Invention
The invention aims to solve the problem that the conventional electric vehicle dispatching system based on the modern heuristic algorithm cannot solve the problem that the large-scale electric vehicle charging influences the normal operation of a power grid.
In order to achieve the purpose, the invention provides an intelligent charging network system applied to an electric vehicle and an electric vehicle charging scheduling method based on the system.
According to a first aspect of the present invention, an intelligent charging network system applied to an electric vehicle is provided.
The intelligent charging network system applied to the electric automobile comprises a charging scheduling management platform, an intelligent charging pile cluster, a power grid and distributed energy sources;
the charging scheduling management platform is in communication connection with the intelligent charging pile cluster, the power grid and the distributed energy sources;
the intelligent charging pile cluster and the distributed energy are both connected to the power grid;
the electric automobile is connected to the intelligent charging network system through the intelligent charging piles in the intelligent charging pile cluster;
the charging scheduling management platform is used for controlling the charging and discharging states of the intelligent charging pile and the distributed energy according to the difference value between the power demand of the user side of the area where the electric automobile is located and the pre-acquired average load of the power grid, which is acquired in real time, on the premise that the power demand of the electric automobile is met, so that the load peak-valley difference of the power grid is reduced.
Preferably, the charging scheduling management platform is configured with a predetermined number of intelligent charging pile cluster access ports, a power grid access port and a distributed energy access port.
Preferably, the distributed energy resource includes a V2G-enabled electric vehicle that transmits an intelligent scheduling charging request, which is accessed to the intelligent charging network system.
According to a second aspect of the present invention, an electric vehicle charging scheduling method is provided, which is implemented based on the above intelligent charging network system applied to an electric vehicle, and includes the following steps:
responding to an immediate charging request of the electric automobile, and controlling the intelligent charging pile to immediately charge the electric automobile;
responding to a charging reservation request of the electric automobile, controlling the intelligent charging pile to charge the electric automobile on the premise of meeting the next automobile using time, and enabling the charging cost of the electric automobile to be minimum;
responding to an intelligent scheduling charging request of the electric automobile, controlling the intelligent charging pile to charge the electric automobile in the off-peak period of the electricity price, and controlling the electric automobile to discharge in the on-peak period of the electricity price and the off-peak period of the electricity price by the intelligent charging pile when the electric automobile is the electric automobile with the V2G function.
Preferably, the step of controlling the intelligent charging pile to immediately charge the electric vehicle in response to an immediate charging request of the electric vehicle includes:
acquiring the maximum allowable charging power of the electric automobile;
controlling the intelligent charging pile to immediately charge the electric automobile by the maximum allowable charging power;
and judging whether the power consumption demand of the user side of the area where the electric automobile is located is larger than the pre-acquired average load of the power grid, and if so, controlling the distributed energy to discharge.
Preferably, the distributed energy sources include the electric vehicle with the V2G function, a distributed power generation system and a distributed energy storage system;
the discharging priority of the distributed energy sources is sequentially the electric automobile with the V2G function, the distributed power generation system and the distributed energy storage system from high to low;
the electric vehicle having the V2G function discharges only during the peak period of the power rate and the peak period of the power rate.
Preferably, the step of controlling the intelligent charging pile to charge the electric vehicle on the premise that the next vehicle-using time is met and the charge fee of the electric vehicle is minimized in response to the charging reservation request of the electric vehicle includes:
acquiring the required charging electric quantity and the predicted charging time of the electric automobile according to the pre-acquired residual electric quantity and the maximum allowable charging power of the power battery of the electric automobile;
according to the acquired required charging electric quantity and the estimated charging time of the electric automobile, distributing charging time and charging power for the electric automobile based on the next vehicle using time;
controlling the intelligent charging pile to charge the electric automobile according to the distributed charging time and charging power;
the distribution priority of the charging time is sequentially a power price valley time period, a power price peak-balancing time period and a power price peak time period from high to low.
Preferably, the step of controlling the intelligent charging pile to charge the electric vehicle during the off-peak electricity price period in response to the intelligent scheduling charging request of the electric vehicle includes:
distributing the charging time of the electric automobile to the nearest electricity price valley period, and determining the charging power of the electric automobile according to the charging time;
adjusting the charging time and the charging power of the electric automobile in real time according to the electricity demand of the user side of the area where the electric automobile is located, so that the electricity power in the nearest electricity price valley period of the area is uniformly distributed;
and controlling the intelligent charging pile to charge the electric automobile according to the charging time and the charging power of the electric automobile adjusted in real time.
Preferably, the distributed energy sources include the electric vehicle with the V2G function, a distributed power generation system and a distributed energy storage system;
the electric vehicle charging scheduling method further comprises the following steps:
after the step of controlling the intelligent charging pile to charge the electric vehicle in the off-peak electricity price period, controlling the distributed energy storage system to charge;
controlling the distributed power generation system and the distributed energy storage system to discharge after the step of controlling the electric vehicle to discharge through the intelligent charging pile in the peak period and the average period of the power rates when the electric vehicle is the electric vehicle with the V2G function;
wherein the discharge priority of the distributed power generation system is higher than the discharge priority of the distributed energy storage system.
Preferably, the charging priority of the electric vehicle is sequentially from high to low for the electric vehicle sending the immediate charging request, the electric vehicle sending the reserved charging request and the electric vehicle sending the intelligent scheduling charging request;
and the charging sequence of the electric automobiles with the same charging priority is the sequence of the electric automobiles accessing the intelligent charging network system.
The invention has the beneficial effects that:
according to the intelligent charging network system applied to the electric automobile, on the premise that the power consumption requirement of the electric automobile is met through the charging scheduling management platform, the charging and discharging states of the intelligent charging pile and the distributed energy are controlled according to the difference value between the power consumption requirement of the user side of the area where the electric automobile is located and the pre-acquired average load of the power grid, so that the load peak-valley difference of the power grid is reduced, and the normal operation of the power grid is further ensured. Therefore, the intelligent charging network system applied to the electric automobile can effectively solve the problem that the conventional electric automobile scheduling system based on the modern heuristic algorithm cannot solve the problem that the large-scale electric automobile charging influences the normal operation of a power grid.
The electric vehicle charging scheduling method is realized based on the intelligent charging network system applied to the electric vehicle, belongs to a general inventive concept with the intelligent charging network system applied to the electric vehicle, and has the same beneficial effects with the intelligent charging network system applied to the electric vehicle.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
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The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
Fig. 1 is a block diagram illustrating a structure of an intelligent charging network system applied to an electric vehicle according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in more detail below. While the following describes preferred embodiments of the present invention, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example (b): fig. 1 shows a block diagram of an intelligent charging network system applied to an electric vehicle according to the present embodiment. Referring to fig. 1, the intelligent charging network system applied to the electric vehicle of the present embodiment includes a charging scheduling management platform, an intelligent charging pile cluster, a power grid, and distributed energy resources;
the charging scheduling management platform is in communication connection with the intelligent charging pile cluster, the power grid and the distributed energy sources;
the intelligent charging pile cluster and the distributed energy are both connected to a power grid;
the electric automobile is connected to the intelligent charging network system through the intelligent charging piles in the intelligent charging pile cluster;
the charging scheduling management platform is used for controlling the charging and discharging states of the intelligent charging pile and the distributed energy according to the difference value between the user side power demand of the region where the electric automobile is located and the pre-acquired average load of the power grid, which is acquired in real time, on the premise of meeting the power demand of the electric automobile, so that the load peak-valley difference of the power grid is reduced.
In this embodiment, the charging scheduling management platform is configured with a predetermined number of intelligent charging pile cluster access ports, grid access ports and distributed energy access ports.
In this embodiment, the distributed energy resource includes an electric vehicle with a V2G function, which is connected to the intelligent charging network system and transmits an intelligent scheduling charging request.
V2G is an abbreviation for Vehicle-to-grid. V2G describes the relationship of the electric vehicle to the grid. When the electric automobile is not used, the electric energy of the vehicle-mounted battery is sold to a system of a power grid. If the on-board battery needs to be charged, current flows from the grid to the vehicle.
Correspondingly, the embodiment also provides an electric vehicle charging scheduling method.
The electric vehicle charging scheduling method of the embodiment is implemented based on the intelligent charging network system applied to the electric vehicle of the embodiment, and comprises the following steps:
s100, responding to an immediate charging request of the electric automobile, and controlling the intelligent charging pile to immediately charge the electric automobile;
step S200, responding to a charging reservation request of the electric automobile, controlling the intelligent charging pile to charge the electric automobile on the premise of meeting the next automobile using time and enabling the charging cost of the electric automobile to be minimum;
step S300, responding to an intelligent scheduling charging request of the electric automobile, controlling the intelligent charging pile to charge the electric automobile in the low-price period of the electricity price, and controlling the electric automobile to discharge through the intelligent charging pile in the high-price period of the electricity price and the low-price period of the electricity price when the electric automobile is the electric automobile with the function of V2G.
Further, step S100 of the present embodiment includes:
acquiring the maximum allowable charging power of the electric automobile;
controlling the intelligent charging pile to immediately charge the electric automobile by the maximum allowable charging power;
and judging whether the power consumption demand of the user side of the area where the electric automobile is located is larger than the pre-acquired average load of the power grid, and if so, controlling the distributed energy to discharge.
Specifically, the distributed energy source comprises an electric automobile with a V2G function, a distributed power generation system and a distributed energy storage system;
the discharging priority of the distributed energy sources is sequentially the electric automobile with the V2G function, the distributed power generation system and the distributed energy storage system from high to low;
the electric vehicle having the V2G function discharges only during the peak period of the power rate and the peak period of the power rate.
Further, step S200 of this embodiment includes:
acquiring the required charging electric quantity and the predicted charging time of the electric automobile according to the pre-acquired residual electric quantity and the maximum allowable charging power of the power battery of the electric automobile;
according to the acquired required charging electric quantity and the estimated charging time of the electric automobile, distributing charging time and charging power for the electric automobile based on the next vehicle using time;
controlling the intelligent charging pile to charge the electric automobile according to the distributed charging time and charging power;
the distribution priority of the charging time is sequentially a power price valley time period, a power price peak-balancing time period and a power price peak time period from high to low.
Further, step S300 of the present embodiment includes:
distributing the charging time of the electric automobile to the nearest electricity price valley period, and determining the charging power of the electric automobile according to the charging time;
adjusting the charging time and the charging power of the electric automobile in real time according to the electricity demand of the user side of the area where the electric automobile is located, so that the electricity power in the nearest electricity price valley period of the area is uniformly distributed;
and controlling the intelligent charging pile to charge the electric automobile according to the charging time and the charging power of the electric automobile adjusted in real time.
Further, the distributed energy sources comprise the electric automobile with the V2G function, a distributed power generation system and a distributed energy storage system;
step S300 of this embodiment further includes:
after the step of controlling the intelligent charging pile to charge the electric vehicle in the off-peak electricity price period, controlling the distributed energy storage system to charge;
controlling the distributed power generation system and the distributed energy storage system to discharge after the step of controlling the electric vehicle to discharge through the intelligent charging pile in the peak period and the average period of the power rates when the electric vehicle is the electric vehicle with the V2G function;
wherein the discharge priority of the distributed power generation system is higher than the discharge priority of the distributed energy storage system.
Further, the charging priority of the electric automobile is sequentially from high to low for the electric automobile sending the immediate charging request, the electric automobile sending the reserved charging request and the electric automobile sending the intelligent scheduling charging request.
Further, the charging sequence of the electric vehicles with the same charging priority is the sequence of the electric vehicles accessing the intelligent charging network system.
The present embodiment is described in more detail below:
the physical foundation and architecture of the intelligent charging network system of the embodiment are as follows:
1) the electric automobile is connected into the intelligent charging pile as an electric load of the system, the electric automobile sends a charging request to the intelligent charging pile according to charging parameters of a vehicle battery, and the intelligent charging pile determines the charging power and the predicted charging time of the vehicle through parameter configuration of a vehicle BMS (Power Battery management System). Simultaneously the electric automobile owner can select the charge mode according to the vehicle user demand: "immediate charging", "intelligent scheduled charging", and "scheduled charging". In the immediate charging mode, the intelligent charging pile charges the vehicle with the maximum allowable charging power of the vehicle. Under the intelligent scheduling mode of charging, the car owner can obtain the estimated time of charging and save the amount of charges of electricity that the scheduling management platform of charging calculated from intelligent charging stake or APP, and intelligent scheduling based on big data can use the electric cost to save about 40%. Under the reservation charging mode, the car owner can input the time of using the car and the electric quantity of charging according to the needs of using the car. Electric automobile with V2G function, the car owner can select to insert intelligent charging stake with electric automobile as distributed energy storage equipment, and the scheduling management platform that charges will control the vehicle and discharge at power consumption peak period, and the power consumption valley period charges, and peak valley price difference will be as car owner's income. Wherein, the peak-valley period division of industry and commerce:
in the peak period: for 8 hours (10:00-15: 00; 18:00-21:00), the peak time period has a price of about 1.3 yuan.
The peak smoothing period: 8 hours (07:00-10: 00; 15:00-18: 00; 21:00-23:00), and the electricity price is about 0.9 yuan in the ordinary period.
In the valley period: 8 hours (21:00-07:00), the electricity price of the valley section is 0.5 yuan.
2) The intelligent charging pile is a charging device with a group management and group control charging management system and an electric energy return network function, charge and discharge states and power of all terminals are controlled and distributed by a CMS (charging management system), the CMS sends vehicle charging requirements of the intelligent charging pile to a charging scheduling management platform in real time, the charging scheduling management platform issues charging strategies of all vehicles to the CMS according to the intelligent scheduling strategies, and the CMS controls all terminals to charge and discharge the vehicles according to instructions of the charging scheduling management platform.
3) The charging scheduling management platform is a core control component of the intelligent charging network system, is respectively connected with the intelligent charging pile, the power grid, the distributed power generation system and the distributed energy storage system, and performs intelligent scheduling on the whole intelligent charging network. The input conditions of intelligent scheduling are the charging requirement of the electric automobile and the power grid side load respectively, and the charging scheduling management platform realizes the adjustment of the power grid load by means of an electric energy ordered utilization strategy, electric energy bidirectional transformation, effective utilization of distributed energy and the like on the premise of meeting the charging requirement of the electric automobile. The specific scheduling method comprises the following steps: the charging priority of the vehicles is sorted according to the charging mode, the charging time, the access sequence and other conditions selected by the electric vehicle, the charging time period of the electric vehicle accessed to the power grid is allocated by predicting the load condition of the power grid, the peak-valley-level electricity price time period and the user charging behavior based on big data, and a charging scheduling instruction is issued to the CMS. The charging scheduling management platform can also control the time and the state of the V2G electric automobile, the distributed power generation system and the distributed energy storage system which are connected to the power grid, the V2G electric automobile, the distributed power generation system and the distributed energy storage system are connected to the power grid in the peak period of power utilization, vehicles which are charged in the period are charged, the V2G electric automobile and the distributed energy storage system are charged and stored in the low-ebb period of power utilization, the peak-valley difference of the power grid is reduced to the maximum extent, meanwhile, the charging cost is saved for users by using the electricity price when the peak valley is equally divided, and the income of the distributed energy provider is maximized.
4) The power grid is used as a main provider of electric energy, the electric energy is provided for the intelligent charging network system, and meanwhile, the load condition of the power grid and the power consumption requirement of a user side are transmitted to the charging scheduling management platform in real time.
5) The distributed energy sources serve as auxiliary providers and storage persons of electric energy and play a role in buffering and sharing the load of a power grid, the distributed energy sources comprise photovoltaic power generation, wind power generation, a V2G electric vehicle, an energy storage device and the like, the distributed energy sources transmit the charge-discharge capacity of the distributed energy sources to the charging scheduling management platform in real time, and the charging scheduling management platform controls the distributed energy sources to store energy and supply energy to the electric vehicle according to the load condition of the power grid and the peak-valley-average price period.
The control strategy of the charging scheduling management platform is as follows:
the vehicle charging requirement is jointly determined by a charging power request sent by the BMS and a charging mode selected by an owner, and after the CMS integrates information received by the intelligent charging pile, the charging power, the predicted charging time, the next vehicle using time, the vehicle access sequence and other information are transmitted to the charging scheduling management platform in real time.
The charging dispatching management platform calculates the average load capacity of the power grid based on the power grid load big data information, and distributes the charging sequence and charging power of the vehicles in the region in real time according to the current load of the power grid sent by the power grid and the vehicle charging demand information sent by the CMS, wherein the distribution principle is that the real-time load of the power grid approaches to the average load of the power grid and the charging demand priority on the premise of meeting the charging demand of the electric vehicle: immediate charging requirement > reservation charging requirement > intelligent scheduling charging requirement.
The average load of the power grid and the current electricity demand electric quantity are bound to have a difference value, when the electricity demand electric quantity is larger than the average load of the power grid, the charging dispatching management platform controls the distributed energy sources to be connected into the power grid to charge the electric automobile, and the distributed energy sources provide the difference electric quantity. Among them, the V2G electric vehicle discharges only during peak hours and peak hours of electricity usage, and charges during valley hours of electricity usage. Distributed energy discharge priority: V2G electric automobile > distributed power generation system > distributed energy storage system. When the electricity demand is less than the average load of the power grid, the charging scheduling management platform controls the distributed energy to be accessed into the power grid, the difference electric quantity between the two is stored, and the charging priority of the distributed energy is as follows: V2G electric automobile > distributed energy storage system.
The specific execution algorithm is as follows:
a) the vehicle owner selects the charging mode after the vehicle inserts the rifle: the intelligent charging system comprises an instant charging mode, an intelligent scheduling charging mode and a reserved charging mode, wherein CAN communication is established between a vehicle and the intelligent charging pile, the intelligent charging pile acquires vehicle charging requirements (including charging power and charging mode), and the vehicle charging requirements are uploaded to a charging scheduling management platform.
b) When the owner selects the 'immediate charging' mode, the charging scheduling management platform controls the intelligent charging pile to immediately charge the vehicle with the maximum allowable charging power; and if the electricity consumption demand quantity of the current area is larger than the average load of the power grid, the charging dispatching management platform controls the distributed energy resources of the current area to be connected into the power grid, and the distributed energy resources provide difference electric quantity in real time to charge the vehicle.
c) When the vehicle owner selects the 'reserved charging' mode, the charging scheduling management platform calculates the required charging electric quantity and the estimated charging duration of the vehicle according to the SOC of the vehicle power battery and the maximum allowable charging power, the charging time and the charging power are distributed to the vehicle according to the next vehicle time input by the vehicle owner, and the distribution priority of the charging time is as follows: the valley period > the peak leveling period > the peak period; the vehicle charging sequence allocation priority is: the vehicle is charged immediately in a mode, namely vehicle access time sequence, reserved charging mode, vehicle and intelligent scheduling charging mode.
d) When the vehicle owner selects an intelligent scheduling charging mode, the charging scheduling management platform arranges the vehicle to be charged in the nearest valley period, and adjusts the charging starting time and the charging power in real time according to the current regional power demand, wherein the adjustment principle is that the real-time power consumption in the regional valley period is uniformly distributed in the whole valley period. The vehicle in the intelligent scheduling charging mode can use the V2G function as a distributed energy source to be connected into a power grid, the electric energy is provided for the current region in the peak period, the electric energy is stored in the valley period, the income is earned for the vehicle owner by using the peak-valley electricity price difference, and the charging and discharging period distribution principle of the vehicle in the intelligent scheduling charging mode is as follows: the vehicle is charged only during the valley period and discharged only during the peak period and the flat period; peak and flat time distributed energy discharge priorities: V2G electric vehicle > distributed power generation system > distributed energy storage system; charging priority of the valley power period: V2G electric automobile > distributed energy storage system.
The intelligent charging network system of the embodiment adopts a centralized layered and distributed form, the charging scheduling management platform controls all energy transaction management of a wide-Area charging network, and comprises a plurality of Area-energy management systems (Area-EMS), a power distribution network side data interface and a distributed energy interface in an Area-EMS connection Area, so that charging scheduling in an Area range is realized, an Area-EMS bottom layer comprises a plurality of micro-scheduling energy management systems (mu-EMS), and the mu-EMS is used for data acquisition, transmission and collection of charging and energy storage of the bottom layer, and performs data integration on a discrete charging data source.
The intelligent charging network system realizes the internal autonomous management of a single charging station through a micro-scheduling energy management system (mu-EMS), can be connected to a small distributed power generation and energy storage system, manages a plurality of mu-EMS through a regional energy management system (Area-EMS), realizes the interaction with the demand side of a regional power grid, and receives the load trend guiding scheduling of the power grid side; by increasing the management granularity, wide-area management of the charging facility is realized. The intelligent charging network system integrates the bidirectional flow of energy such as vehicle charging and discharging, large-client electricity selling, an energy storage system and the like through wide-area energy transaction management to form a system for accepting large-scale new energy power generation and energy management and scheduling.
On the basis of the existing power system, the intelligent charging system realizes process control, data acquisition, information transmission and collection of the charging and discharging equipment through an open data network and realizes data management and application at a remote server. The energy of the power system is controlled in a two-way mode, the current disordered charging behavior is changed into the dynamically planned ordered charging, peak-valley regulation and economic operation of the power distribution network are achieved, the pressure of the power distribution network is reduced, and meanwhile the electricity utilization cost is saved for users.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
Claims (10)
1. An intelligent charging network system applied to an electric automobile is characterized by comprising a charging scheduling management platform, an intelligent charging pile cluster, a power grid and distributed energy sources;
the charging scheduling management platform is in communication connection with the intelligent charging pile cluster, the power grid and the distributed energy sources;
the intelligent charging pile cluster and the distributed energy are both connected to the power grid;
the electric automobile is connected to the intelligent charging network system through the intelligent charging piles in the intelligent charging pile cluster;
the charging scheduling management platform is used for controlling the charging and discharging states of the intelligent charging pile and the distributed energy according to the difference value between the power demand of the user side of the area where the electric automobile is located and the pre-acquired average load of the power grid, which is acquired in real time, on the premise that the power demand of the electric automobile is met, so that the load peak-valley difference of the power grid is reduced.
2. The intelligent charging network system of claim 1, wherein the charging schedule management platform is configured with a predetermined number of intelligent charging pile cluster access ports, grid access ports, and distributed energy access ports.
3. The intelligent charging network system of claim 1, wherein the distributed energy resource comprises a V2G-enabled electric vehicle accessing the intelligent charging network system that transmits an intelligent scheduling charging request.
4. The electric vehicle charging scheduling method based on the intelligent charging network system of claim 1, characterized by comprising an immediate charging mode, a reserved charging mode and an intelligent scheduling charging mode:
an immediate charging mode: responding to an immediate charging request of the electric automobile, and controlling the intelligent charging pile to immediately charge the electric automobile;
a reserved charging mode: responding to a charging reservation request of the electric automobile, controlling the intelligent charging pile to charge the electric automobile on the premise of meeting the next automobile using time, and enabling the charging cost of the electric automobile to be minimum;
the intelligent scheduling charging mode comprises the following steps: responding to an intelligent scheduling charging request of the electric automobile, controlling the intelligent charging pile to charge the electric automobile in the off-peak period of the electricity price, and controlling the electric automobile to discharge in the on-peak period of the electricity price and the off-peak period of the electricity price by the intelligent charging pile when the electric automobile is the electric automobile with the V2G function.
5. The electric vehicle charging scheduling method of claim 4, wherein the immediate charging mode comprises:
acquiring the maximum allowable charging power of the electric automobile;
controlling the intelligent charging pile to immediately charge the electric automobile by the maximum allowable charging power;
and judging whether the power consumption demand of the user side of the area where the electric automobile is located is larger than the pre-acquired average load of the power grid, and if so, controlling the distributed energy to discharge.
6. The electric vehicle charging scheduling method of claim 5, wherein the distributed energy resources comprise the electric vehicle with the V2G function, a distributed power generation system and a distributed energy storage system;
the discharging priority of the distributed energy sources is sequentially the electric automobile with the V2G function, the distributed power generation system and the distributed energy storage system from high to low;
the electric vehicle having the V2G function discharges only during the peak period of the power rate and the peak period of the power rate.
7. The electric vehicle charging scheduling method of claim 4, wherein the scheduled charging mode comprises:
acquiring the required charging electric quantity and the predicted charging time of the electric automobile according to the pre-acquired residual electric quantity and the maximum allowable charging power of the power battery of the electric automobile;
according to the acquired required charging electric quantity and the estimated charging time of the electric automobile, distributing charging time and charging power for the electric automobile based on the next vehicle using time;
controlling the intelligent charging pile to charge the electric automobile according to the distributed charging time and charging power;
the distribution priority of the charging time is sequentially a power price valley time period, a power price peak-balancing time period and a power price peak time period from high to low.
8. The electric vehicle charging scheduling method of claim 4, wherein the intelligently scheduled charging mode comprises:
distributing the charging time of the electric automobile to the nearest electricity price valley period, and determining the charging power of the electric automobile according to the charging time;
adjusting the charging time and the charging power of the electric automobile in real time according to the electricity demand of the user side of the area where the electric automobile is located, so that the electricity power in the nearest electricity price valley period of the area is uniformly distributed;
and controlling the intelligent charging pile to charge the electric automobile according to the charging time and the charging power of the electric automobile adjusted in real time.
9. The electric vehicle charging scheduling method of claim 8, wherein the distributed energy resources comprise the electric vehicle with the V2G function, a distributed power generation system and a distributed energy storage system;
the electric vehicle charging scheduling method further comprises the following steps:
after the step of controlling the intelligent charging pile to charge the electric vehicle in the off-peak electricity price period, controlling the distributed energy storage system to charge;
controlling the distributed power generation system and the distributed energy storage system to discharge after the step of controlling the electric vehicle to discharge through the intelligent charging pile in the peak period and the average period of the power rates when the electric vehicle is the electric vehicle with the V2G function;
wherein the discharge priority of the distributed power generation system is higher than the discharge priority of the distributed energy storage system.
10. The electric vehicle charging scheduling method of claim 4, wherein the charging priority of the electric vehicle is sequentially from high to low for an electric vehicle in an immediate charging mode, an electric vehicle in a reserved charging mode and an electric vehicle in an intelligent scheduling charging mode;
and the charging sequence of the electric automobiles with the same charging priority is the sequence of the electric automobiles accessing the intelligent charging network system.
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