Rural area-oriented electric vehicle ordered charging method and controller

Abstract

The invention discloses a rural area-oriented electric vehicle ordered charging method and a controller, and the method comprises the steps: carrying out the statistics of the charging demand power submitted by an electric vehicle user, so as to obtain the total power of the current charging demand of a rural area; obtaining the current redundant capacity of the transformer in the transformer area of the rural area; according to the total power of the current charging demand of the electric vehicle and the current redundant capacity of the transformer, setting a scheduling limiting capacity; distributing charging power to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power for the scheduling limited capacity; electric energy is dispatched from the transformer area transformer according to the dispatching limit capacity, and charging piles are guided to charge all the electric automobiles based on the distributed charging power. The charging power of the electric vehicle is dynamically regulated and controlled for rural areas, it can be ensured that the transformer is not overloaded in the charging process of the electric vehicle, and the power supply safety of a transformer area is guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric vehicle charging, in particular to an electric vehicle orderly charging method and controller for rural areas, which is used to solve the problems of limited transformer capacity in rural areas, unbalanced charging load management, and difficult access of charging facilities, and realize intelligent and orderly charging of electric vehicles, improve the carrying capacity and operation efficiency of the power grid. BACKGROUND

[0002] Due to the inherent deficiencies of traditional rural power grid infrastructure, the access and promotion of new energy vehicle charging facilities face many challenges. For example, 1. The capacity of rural transformers is limited, and the main transformer in the area is 200kVA or 315kVA, which is insufficient in redundant capacity and difficult to support additional charging load; 2. The line is seriously aged and has large loss, and the maintenance of power supply facilities lags behind, resulting in low power supply reliability; 3. The per capita electricity capacity in rural areas is small, such as a typical rural area, which is only 2.38kVA, far from meeting the charging demand; 4. The carrying capacity of rural power grid is severely tested, for example, in a rural area, there are 41 overloaded transformers, 186 low-voltage problem transformers, and 2 low-voltage outlet lines; 5. The rural power load shows obvious seasonal fluctuations, with a load rate of less than 20% at ordinary times, but increasing to 98% during peak periods such as the Spring Festival, resulting in frequent overload of transformers and unstable operation of power grid.

[0003] Due to weak charging infrastructure, rural users mainly rely on "on-board piles" or ordinary sockets with a power of about 1.7-3.5kW for charging, and due to long-distance low voltage, it takes 30-40 hours to fully charge, which seriously affects the user experience. More seriously, private charging is common, which leads to line overload, heating, and even fire, posing a huge safety hazard. At the same time, the weak grid structure of rural power grid and the disordered access of electric vehicle charging load will exacerbate the deterioration of power quality and affect the safe and stable operation of the power grid. Therefore, under the constraints of large investment in rural power grid capacity expansion and low economic benefits, how to realize efficient, safe and economic charging facility construction under the existing power grid conditions, improve the carrying capacity of the power grid and optimize the charging mode has become a technical problem to be solved. SUMMARY

[0004] In view of the problem of limited charging of electric vehicles in rural areas, the present application provides an electric vehicle orderly charging method and controller for rural areas, which dynamically regulates the charging power of electric vehicles to ensure that the transformer is not overloaded during the charging process of electric vehicles and ensures the safety of area power supply.

[0005] To achieve the above technical purpose, the present application adopts the following technical scheme: An electric vehicle orderly charging method for rural areas, comprising: statistical electric vehicle user submitted charging demand power to obtain the total power of the current charging demand in rural areas; obtain the current redundancy capacity of the transformer in the rural area; According to the total power of the current charging demand of electric vehicles and the current redundancy capacity of the transformer, set the scheduling limit capacity; The scheduling limit capacity is allocated to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power; According to the scheduling limit capacity, dispatch the power from the transformer in the area, and guide the charging of each electric vehicle based on the allocated charging power.

[0006] Further, the total power of the current charging demand in rural areas is obtained by statistically submitting the charging demand power of electric vehicle users, and the calculation formula is: ; In the formula, is the total power of the current charging demand in rural areas, represents the charging demand power submitted by the nth electric vehicle, represents the current charged power of the nth electric vehicle, and N represents the number of schedulable ordered charging piles.

[0007] Further, the current redundancy capacity of the transformer in the area is the remaining capacity of the rated capacity of the transformer in the area minus the resident power.

[0008] Further, the setting expression of the scheduling limit capacity is: ; In the formula, represents the scheduling limit capacity, represents the total power of the current charging demand in rural areas, represents the current redundancy capacity of the transformer in the area, represents and The difference between and is .

[0009] Further, the calculation formula for allocating charging power to each electric vehicle is: ; In the formula, represents the charging power allocated to the nth electric vehicle, represents the scheduling limit capacity, is the total power of the current charging demand in rural areas, represents the charging demand power submitted by the nth electric vehicle, represents the current charged power of the nth electric vehicle.

[0010] Further, one intelligent orderly charging controller is arranged for each transformer area, which is used to realize the orderly charging method of electric vehicles in the corresponding rural area; the intelligent orderly charging controller includes two working modes: (1) cloud-edge collaborative working mode, the edge end refers to the intelligent orderly charging controller arranged corresponding to each transformer area, and the cloud end includes the power grid platform and the electric vehicle charging operation platform; The intelligent orderly charging controller adopts the cloud-edge collaborative working mode by default, obtains the charging demand power submitted by the electric vehicle user from the electric vehicle charging operation platform, obtains the rated capacity of the transformer area and the residential power of the rural area from the power grid platform, and then obtains the current redundant capacity of the transformer area by subtracting the residential power from the rated capacity of the transformer area. (2) edge end local working mode; When the preset triggering condition is met, the working mode of the intelligent orderly charging controller is switched from the cloud-edge collaborative working mode to the edge end local working mode; In the edge end local working mode, the intelligent orderly charging controller directly obtains the rated capacity and the residential power from the local corresponding transformer area, and directly obtains the charging demand power of each electric vehicle from each charging pile.

[0011] Further, the preset triggering condition includes any one of the following: (1) the communication interruption between the intelligent orderly charging controller and the cloud end exceeds 30 seconds; (2) the control instruction delay lasts for more than 200ms for 5 minutes; (3) the load rate of the transformer area where the intelligent orderly charging controller is located exceeds 95% and lasts for 10 seconds.

[0012] Further, the intelligent orderly charging controller adopts the Docker container technology, and each functional module is running in a separate container environment: The load management module is used to: (1) count the charging demand power submitted by the electric vehicle user to obtain the total power of the current charging demand in the rural area; (2) obtain the current redundant capacity of the transformer area where the rural area is located; (3) set the dispatching limit capacity according to the total power of the current charging demand of the electric vehicle and the current redundant capacity of the transformer; (4) allocate charging power to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power; The scheduling module is used to: schedule power from the transformer area according to the dispatching limit capacity, and charge each electric vehicle based on the allocated charging power; The device monitoring module is used to: collect charging pile data in real time, monitor charging pile abnormalities based on charging pile data, and trigger local emergency response.

[0013] An intelligent orderly charging controller for rural areas is used to realize the orderly charging method for electric vehicles in rural areas described in any of the above.

[0014] Advantages

[0015] The present application provides an orderly charging method and controller for electric vehicles in rural areas. In the case of limited carrying capacity of rural power grids and insufficient redundant capacity of transformer substations, the available redundant capacity of the transformer is accurately calculated by real-time monitoring of the transformer load state, and the charging power of electric vehicles is dynamically regulated by combining intelligent charging control strategies to ensure that the transformer is not overloaded during the charging process of electric vehicles and to ensure the safety of substation power supply. At the same time, the peak load shifting function is taken into account, which can effectively balance the power grid load and alleviate the seasonal fluctuation problem of rural power load, and has the ability to respond to power grid dispatching, providing technical support for building intelligent rural power grids. BRIEF DESCRIPTION OF DRAWINGS

[0016] Fig. 1 is the system architecture diagram applied by the orderly charging method for electric vehicles in rural areas of the embodiment of the present application.

[0017] Fig. 2 is a flowchart of the orderly charging method for electric vehicles in rural areas of the embodiment of the present application.

[0018] Fig. 3 is an internal architecture diagram of the orderly charger for electric vehicles in rural areas of the embodiment of the present application. DETAILED DESCRIPTION

[0019] The embodiments of the present application will be described in detail below. The embodiments are based on the technical solutions of the present application and give detailed implementation methods and specific operation processes to further explain and illustrate the technical solutions of the present application.

[0020] Embodiment 1

[0021] The embodiment provides an orderly charging method for electric vehicles in rural areas, which reduces line loss by concentrating the construction of shared orderly charging piles near transformer substations, and realizes the overloading-free operation of the transformer by combining transformer load monitoring and dynamic power distribution, thereby improving the adaptability of the rural power grid to charging load. Referring to Figs. 1-3 The embodiment is directed to rural areas and combines transformer load monitoring and dynamic power distribution. The method for orderly charging of electric vehicles includes the following steps: Step 1, the charging demand power submitted by the electric vehicle user is counted to obtain the total power of the current charging demand in rural areas, and the calculation formula is: ; In the formula, Total power of current charging demand of rural areas, denotes the charging demand power submitted by the nth electric vehicle, denotes the power that the nth current electric vehicle has been charged, and N denotes the number of schedulable orderly charging piles.

[0022] Step 2, obtaining the current redundant capacity of the transformer of the station area where the rural area is located.

[0023] Among them, the current redundant capacity of the transformer of the station area refers to the remaining capacity of the rated capacity of the transformer of the station area minus the resident electricity.

[0024] Step 3, setting a scheduling limit capacity according to the total power of the current charging demand of the electric vehicle and the current redundant capacity of the transformer: ; In the formula, denotes the scheduling limit capacity, denotes the difference between and , that is, .

[0025] Step 4, distributing the charging power to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power, and the distribution calculation formula is: ; In the formula, denotes the charging power distributed to the nth electric vehicle.

[0026] Step 5, scheduling power from the transformer of the station area according to the scheduling limit capacity, and guiding the charging piles to charge each electric vehicle based on the distributed charging power.

[0027] In the embodiment, one intelligent orderly charging controller is set for each transformer of the station area, which is used to realize the orderly charging method of the electric vehicle in the corresponding rural area of the station area. The intelligent orderly charging controller includes two working modes: (1) Cloud-edge collaborative working mode.

[0028] Among them, the edge refers to the intelligent orderly charging controller deployed corresponding to each transformer of the station area, and the cloud includes the power grid platform and the electric vehicle charging operation platform.

[0029] The intelligent orderly charging controller adopts the cloud-edge collaborative working mode by default, obtains the charging demand power submitted by the electric vehicle user from the electric vehicle charging operation platform, obtains the rated capacity and resident electricity of the transformer of the station area where the rural area is located from the power grid platform, and then obtains the current redundant capacity of the transformer of the station area by subtracting the resident electricity from the rated capacity of the transformer of the station area.

[0030] In the cloud control mode, the intelligent orderly charging controller interacts with the orderly charging management platform in real time through Internet of Things communication, forming a closed-loop control mechanism of "data perception-strategy optimization-dynamic regulation". Specifically: the controller obtains the total load of the transformer in the transformer area and the operating state of each charging pile in real time, and uploads it to the orderly charging management platform through an encrypted channel; the platform dynamically generates the optimal charging strategy based on the grid dispatching instructions, weather forecast data, historical load curve and user charging demand (including expected charging power, vehicle use time, etc.), and issues control instructions containing power distribution scheme and time-of-use price incentive information to the controller, realizing intelligent control of orderly charging facilities, ensuring orderly charging of electric vehicles in the transformer area, peak load shifting, clean energy consumption, power quality improvement and grid operation efficiency improvement.

[0031] (2) Edge local working mode.

[0032] When the preset triggering condition is met, the working mode of the intelligent orderly charging controller is switched from the cloud-edge collaborative working mode to the edge local working mode.

[0033] The preset triggering condition includes any one of the following: (1) the communication between the intelligent orderly charging controller and the cloud is interrupted for more than 30 seconds; (2) the control instruction delay lasts for more than 200ms for 5 minutes; (3) the load rate of the transformer area where the intelligent orderly charging controller is located is more than 95% and lasts for 10 seconds.

[0034] In the edge local working mode, the intelligent orderly charging controller directly obtains the rated capacity and residential power from the local corresponding transformer in the transformer area, and directly obtains the charging demand power of each electric vehicle from each charging pile.

[0035] In the edge local working mode, the communication delay of local calculation and control is less than 50ms. Through the deployment of edge computing gateway in the transformer area, long-distance data transmission with the cloud platform (such as hundreds of milliseconds delay caused by limited network bandwidth in rural areas) can be avoided, and real-time load data based on the local power grid (i.e. within the scope of the transformer area where the intelligent orderly charging controller is located) can be directly used for decision-making, which can ensure that the whole process delay from data acquisition to power adjustment instruction issuance is ≤100ms.

[0036] When the wireless public network is interrupted or the cloud service is unreachable, the control success rate of the edge local working mode is ≥99.9%, so it has higher reliability. The controller has dual-redundancy communication modules, when it detects that the cloud platform connection is timed out, it automatically switches to the preset regulation and control strategy stored locally, and enables the local clock synchronization mechanism to ensure the accuracy of the control timing in the offline state.

[0037] Real-time response refers to the response time of the transformer overload event ≤200ms. When the load of the transformer area suddenly increases (such as when the instantaneous load rate of the transformer is monitored to exceed 95%), the controller uses the edge local working mode to immediately trigger the charging power control instruction.

[0038] Off-network scenario refers to the emergency mode when the operator network coverage blind area or power special network fails.

[0039] In addition, the intelligent orderly charging controller uses Docker container technology, and the following function modules are respectively run in independent container environments:

[0040] The load management module is used to: (1) count the charging demand power submitted by the electric vehicle user to obtain the total power of the current charging demand in the rural area; (2) obtain the current redundant capacity of the transformer in the transformer area where the rural area is located; (3) set the scheduling limit capacity according to the total power of the current charging demand of the electric vehicle and the current redundant capacity of the transformer; (4) allocate charging power to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power according to the scheduling limit capacity; The scheduling module is used to: schedule electric energy from the transformer area transformer according to the scheduling limit capacity, and charge each electric vehicle based on the allocated charging power.

[0041] The device monitoring module is used to: collect charging pile data in real time, monitor charging pile abnormalities based on charging pile data, and trigger local emergency response.

[0042] In the specific implementation process:

[0043] S1, the electric vehicle user scans the code through the mobile phone APP or app, flexibly sets the charging demand (such as charging start time, charging end time, expected charging capacity, willingness to participate in response scheduling, etc.), and uploads the charging demand to the vehicle charging operation management platform.

[0044] When the controller and the electric vehicle charging operation platform are in an off-network scenario (they cannot directly interact with each other), the operator can still receive the charging demand of the user in this scenario, thereby issuing the charging demand to the charging pile, and the controller further collects the charging data of the charging pile, thereby realizing the collection of the charging demand of the user.

[0045] S2, the vehicle charging operation management platform issues the charging demand of each vehicle user to the intelligent orderly charging controller of the transformer area; the vehicle user refers to the user participating in the orderly charging control of the vehicle.

[0046] S3, the intelligent orderly charging controller receives the charging demand of each vehicle user issued by the charging operation management platform, and also obtains the redundant capacity of the transformer in the transformer area from the power grid platform, and then executes steps 1 to 5 in this embodiment.

[0047] S4, in the process of the intelligent orderly charging controller guiding each charging pile to carry out orderly charging based on the dynamically allocated charging power of the corresponding automobile user, real-time collection of charging data of the electric vehicle (such as battery voltage, current, temperature, SOC, etc.) of the charging pile is performed to monitor the charging pile anomaly based on the real-time collected charging data and trigger a local emergency response.

[0048] Embodiment 2

[0049] The embodiment provides a rural area-oriented intelligent orderly charging controller for realizing the rural area-oriented electric vehicle orderly charging method in the embodiment 1.

[0050] The above embodiments are the preferred embodiments of the present application, and those skilled in the art can also make various transformations or improvements on the basis of the above, and these transformations or improvements should all belong to the scope of protection of the present application without departing from the general concept of the present application.

Claims

1. A method for orderly charging of electric vehicles in rural areas, characterized in that, The method comprises the following steps: statistically counting the charging demand power submitted by electric vehicle users to obtain the total power of current charging demand in the rural area; obtaining the current redundant capacity of the transformer in the area where the rural area is located; setting a scheduling limit capacity according to the total power of current charging demand of electric vehicles and the current redundant capacity of the transformer; allocating charging power to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power; scheduling power from the transformer in the area and guiding each electric vehicle to be charged based on the allocated charging power.

2. The rural area-oriented electric vehicle orderly charging method according to claim 1, characterized by, The total power of current charging demand in the rural area is calculated by statistically counting the charging demand power submitted by electric vehicle users, and the calculation formula is: ； In the formula, is the total power of the current charging demand in rural areas, represents the charging demand power submitted by the nth electric vehicle, represents the power currently charged by the nth electric vehicle, and N represents the number of schedulable ordered charging piles.

3. The rural area-oriented electric vehicle orderly charging method according to claim 1, characterized by, The current redundant capacity of the transformer in the area is the remaining capacity of the rated capacity of the transformer in the area minus the resident power.

4. The rural area-oriented electric vehicle orderly charging method according to claim 1, characterized by, The setting expression of the scheduling limit capacity is: ； In the formula, represents the dispatching limit capacity, represents the total power of the current charging demand in rural areas, represents the current redundant capacity of the transformer in the transformer area, represents the difference between and .

5. The rural area-oriented electric vehicle orderly charging method according to claim 1, characterized by, The calculation formula for allocating charging power to each electric vehicle is: ； In the formula, denotes the charging power allocated to the nth electric vehicle, denotes the dispatching limit capacity, is the total power of the current charging demand in rural areas, denotes the charging demand power submitted by the nth electric vehicle, denotes the power currently charged by the nth electric vehicle.

6. The rural area-oriented electric vehicle orderly charging method according to claim 1, characterized by, Each transformer in the area is correspondingly provided with an intelligent orderly charging controller for realizing the orderly charging method of electric vehicles in the corresponding rural area; the intelligent orderly charging controller comprises two working modes: (1) cloud-edge collaborative working mode, the edge end refers to the intelligent orderly charging controller deployed corresponding to each transformer in the area, and the cloud end comprises a power grid platform and an electric vehicle charging operation platform; The intelligent orderly charging controller adopts the cloud-edge collaborative working mode by default, obtains the charging demand power submitted by electric vehicle users from the electric vehicle charging operation platform, and obtains the rated capacity and resident power of the transformer in the area where the rural area is located from the power grid platform, and then obtains the current redundant capacity of the transformer in the area by subtracting the resident power from the rated capacity of the transformer in the area; (2) edge end local working mode; When the preset triggering condition is met, the working mode of the intelligent orderly charging controller is switched from the cloud-edge collaborative working mode to the edge end local working mode; In the edge end local working mode, the intelligent orderly charging controller directly obtains the rated capacity and resident power of the corresponding transformer in the area from the local transformer in the area, and directly obtains the charging demand power of each electric vehicle from each charging pile.

7. The rural area-oriented electric vehicle orderly charging method according to claim 1, characterized by, The preset triggering condition comprises any one of the following: (1) the communication interruption between the intelligent orderly charging controller and the cloud end exceeds 30 seconds; (2) the control instruction delay lasts for more than 200 ms for 5 minutes; (3) the load rate of the transformer in the area where the intelligent orderly charging controller is located exceeds 95% and lasts for 10 seconds. 8.The rural area-oriented electric vehicle orderly charging method according to claim 1, wherein, The intelligent orderly charging controller adopts the Docker container technology, and each functional module is respectively run in a separate container environment: The load management module is used for: (1) statistically counting the charging demand power submitted by electric vehicle users to obtain the total power of current charging demand in the rural area; (2) obtaining the current redundant capacity of the transformer in the area where the rural area is located; (3) setting a scheduling limit capacity according to the total power of current charging demand of electric vehicles and the current redundant capacity of the transformer; (4) allocating charging power to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power; The scheduling module is configured to schedule power from a substation transformer according to the scheduling limit capacity, and charge each electric vehicle based on the allocated charging power. The device monitoring module is configured to collect charging pile data in real time, monitor charging pile abnormalities based on the charging pile data, and trigger a local emergency response.

9. A smart and orderly charging controller for rural areas, characterized by, The method for orderly charging of electric vehicles in rural areas is used to realize the method for orderly charging of electric vehicles in rural areas according to any one of claims 1-8.

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