Power distribution network electric vehicle charging load regulation and control method and system

Abstract

The invention relates to the field of charging load regulation and control, in particular to a power distribution network electric vehicle charging load regulation and control method which comprises the steps of collecting load data and a charging request; uploading the electric vehicle request and the charging data to a dispatching center; acquiring load information in the area, calculating charging starting time of a user and selecting a charging station; the user accepts scheduling and is guided to go to the nearest charging station for charging; if dispatching is not accepted, the user selects a charging time accepting range, and the dispatching center calculates charging starting time of the electric vehicle user and a selection result of the optical storage charging station and feeds back to the user; and the dispatching center updates power distribution network load information and the state of the charging station. According to different requirements of different users of the electric vehicle, the optimal charging time and the charging station are matched, and the electric vehicle with the charging requirement in the power distribution network is guided to the selected charging station for charging at the optimal charging starting time, so that the charging load of the power grid is reduced, and the reliability and the safety of the power grid are improved.

Description

Technical Field

[0001] The present invention relates to the field of charging load regulation, and in particular to a method and system for regulating the charging load of electric vehicles in a distribution network. Background Art

[0002] Electric vehicles have attracted widespread attention in line with the current development of the environment and energy. They are more environmentally friendly than traditional fuel vehicles. The large-scale application of electric vehicles can effectively alleviate crises such as energy shortages and environmental pollution and help achieve low-carbon economic goals.

[0003] However, the large-scale application of electric vehicles will form a huge charging load at certain times of the day, which will impact the power grid and affect the safety of the power grid. The charging time of the three types of electric vehicles is determined by their travel habits and has a strong regularity, which means that the charging process of electric vehicles can be orderly controlled in a certain way to reduce the charging load and improve the reliability and safety of the power grid.

[0004] However, the current charging areas for electric vehicles have not yet implemented reasonable control over the charging of electric vehicles. Sometimes there may be no electric vehicles charging, and sometimes a large number of electric vehicles are charging at the same time. As a large number of electric vehicles are randomly connected to the power grid and charged at the same time, the load on the power grid will increase, causing composite curve fluctuations and an increase in the peak-to-valley difference rate of the load curve, causing tension in the power grid.

[0005] Therefore, those skilled in the art provide a method and system for regulating charging load of electric vehicles in a distribution network to solve the problems raised in the above background technology. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a distribution network electric vehicle charging load control system, including an interaction layer, an application layer, a data acquisition layer and a data support layer arranged from top to bottom;

[0007] The data support layer includes an Internet of Things management platform, a big data service platform, a cloud platform and a public service platform connected in sequence;

[0008] The data acquisition layer is used to obtain distribution network data and provide data support to this system;

[0009] The application layer is interactively connected with the data acquisition layer and the data support layer to provide data interface services;

[0010] The interactive layer provides users with a friendly and convenient operation interface, and also provides distributed resource monitoring, control and interactive response operation functions.

[0011] In this solution, the interactive layer includes a resource supervision system, an interactive response system, a resource control management system, and a control information query system. The interactive layer provides users with a friendly and convenient operation interface, and also provides distributed resource monitoring, control, and interactive response operation functions.

[0012] The application layer includes a resource management service system, a resource settlement service system and a collaborative interactive response service system.

[0013] The data collection layer is composed of multiple groups of sensors, which are used to collect load data of the distribution network in the area in real time and obtain user charging request data.

[0014] The data support layer includes an Internet of Things management platform, a big data service platform, a cloud platform and a public service platform which are connected in sequence.

[0015] Preferably, the resource regulation and management system includes a dispatching center, and the dispatching center is used to dispatch the allocation of charging stations according to the electric vehicle user data and the power grid status.

[0016] Preferably: the interaction layer adopts the VUE development framework technology architecture, integrates H5, Node.js and web development technologies, and provides a human-computer interaction response framework for the system.

[0017] In a further solution, the present application also provides a method for regulating charging load of electric vehicles in a distribution network, comprising the following steps:

[0018] S1, the data collection layer collects regional load data and electric vehicle charging request data;

[0019] S2. Whenever an electric vehicle wants to access the distribution network, the charging data of the electric vehicle is uploaded to the dispatching center, and the number n of the access and the relevant information of the electric vehicle are recorded;

[0020] S3, the dispatch center obtains the load information in the area, calculates the time when electric vehicle users start charging and the selection results of charging stations;

[0021] S4: Whether the electric vehicle user accepts the dispatch. If not, go to step S6; if accepting, go to step S5;

[0022] S5. The dispatch center guides electric vehicle users to the nearest charging station for charging;

[0023] S6. The electric vehicle user selects the charging time range to be accepted, and the dispatch center calculates the charging start time of the electric vehicle user and the selection result of the photovoltaic storage charging station, and feeds back to the electric vehicle user through the interaction layer;

[0024] S7: If the user confirms, the user will give feedback to the dispatch center and go to charge. If the user does not confirm, the process goes to step S6 and repeats the above steps.

[0025] S8. The dispatch center updates the distribution network load information and the status of the charging station.

[0026] Preferably, the relevant information of the electric vehicle includes the type of the electric vehicle, battery capacity, user information and charging requirements.

[0027] Preferably, the charging demand also includes data of the user's travel distance.

[0028] Preferably, the types of electric vehicles include electric buses, electric taxis and electric private cars.

[0029] Technical effects and advantages of the present invention:

[0030] According to the different needs of different electric vehicle users, the optimal charging time and charging station are matched, and electric vehicles with charging needs in the distribution network are guided to the selected charging station for charging at the optimal start charging time, thereby reducing the charging load of the power grid and improving the reliability and safety of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the steps of a method for regulating charging load of electric vehicles in a distribution network provided in an embodiment of the present application;

[0032] Figure 2 It is a schematic diagram of the components of a distribution network electric vehicle charging load control system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0034] Example 1

[0035] See also Figures 1-2 In this embodiment, a method and system for controlling charging load of electric vehicles in a distribution network are provided.

[0036] Among them, the distribution network electric vehicle charging load control system includes an interaction layer, an application layer, a data collection layer, and a data support layer arranged from top to bottom;

[0037] The data support layer includes an Internet of Things management platform, a big data service platform, a cloud platform and a public service platform connected in sequence;

[0038] The data acquisition layer is used to obtain distribution network data and provide data support to this system; the data acquisition layer is composed of multiple groups of sensors, which are used to collect load data of the distribution network in the area in real time and obtain user charging request data.

[0039] The application layer is interactively connected with the data collection layer and the data support layer to provide data interface services; the application layer includes a resource management service system, a resource settlement service system and a collaborative interactive response service system. Among them, the resource regulation and management system includes a dispatching center, which is used to dispatch the allocation of charging stations according to the electric vehicle user data and the power grid status.

[0040] The interactive layer provides users with a friendly and convenient operation interface, and also provides distributed resource monitoring, control and interactive response operation functions. The interactive layer includes a resource supervision system, an interactive response system, a resource control management system and a control information query system. The interactive layer provides users with a friendly and convenient operation interface, and also provides distributed resource monitoring, control and interactive response operation functions.

[0041] Preferably, the interaction layer adopts the VUE development framework technology architecture, integrates H5, Node.js and web development technologies, and provides a human-computer interaction response framework for the system.

[0042] In another embodiment, the present application also provides a method for regulating charging load of electric vehicles in a distribution network, comprising the following steps:

[0043] S1, the data collection layer collects regional load data and electric vehicle charging request data;

[0044] S2. Whenever an electric vehicle wants to access the distribution network, the charging data of the electric vehicle is uploaded to the dispatching center, and the number n of the access and the relevant information of the electric vehicle are recorded;

[0045] S3, the dispatch center obtains the load information in the area, calculates the time when electric vehicle users start charging and the selection results of charging stations;

[0046] S4: Whether the electric vehicle user accepts the dispatch. If not, go to step S6; if accepting, go to step S5;

[0047] S5. The dispatch center guides electric vehicle users to the nearest charging station for charging;

[0048] S6. The electric vehicle user selects the charging time range to be accepted, and the dispatch center calculates the charging start time of the electric vehicle user and the selection result of the photovoltaic storage charging station, and feeds back to the electric vehicle user through the interaction layer;

[0049] S7: If the user confirms, the user will give feedback to the dispatch center and go to charge. If the user does not confirm, the process goes to step S6 and repeats the above steps.

[0050] S8. The dispatch center updates the distribution network load information and the status of the charging station.

[0051] Preferably, the relevant information of the electric vehicle includes the type of the electric vehicle, battery capacity, user information, charging requirements and data of user travel distance.

[0052] Among them, the types of electric vehicles include electric buses, electric taxis and electric private cars.

[0053] According to the type of electric vehicle, the time of electric vehicle demand is matched, the optimal charging time and charging station are matched, and the electric vehicles with charging needs in the distribution network are guided to the selected charging station for charging at the optimal start charging time, thereby reducing the charging load of the power grid and improving the reliability and safety of the power grid.

[0054] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. A method for regulating and controlling charging load of electric vehicles in a distribution network, characterized in that: The following steps are involved: S1, the data collection layer collects regional load data and electric vehicle charging request data; S2. Whenever an electric vehicle wants to access the distribution network, the charging data of the electric vehicle is uploaded to the dispatching center, and the number n of the access and the relevant information of the electric vehicle are recorded; S3, the dispatch center obtains the load information in the area, calculates the time when electric vehicle users start charging and the selection results of charging stations; S4: Whether the electric vehicle user accepts the dispatch. If not, go to step S6; if accepting, go to step S5; S5. The dispatch center guides electric vehicle users to the nearest charging station for charging; S6. The electric vehicle user selects the charging time range to be accepted, and the dispatch center calculates the charging start time of the electric vehicle user and the selection result of the photovoltaic storage charging station, and feeds back to the electric vehicle user through the interaction layer; S7, if the user confirms, the user will give feedback to the dispatch center and go to charge. If the user does not confirm, the process goes to step S6 and repeats the above steps; S8. The dispatch center updates the distribution network load information and the status of the charging station.

2. A method for controlling charging load of electric vehicles in a distribution network according to claim 1, characterized in that: The relevant information of the electric vehicle includes the type of the electric vehicle, battery capacity, user information and charging requirements.

3. A method for controlling charging load of electric vehicles in a distribution network according to claim 1, characterized in that: The charging demand also includes data of the user's travel distance.

4. A method for controlling charging load of electric vehicles in a distribution network according to claim 1, characterized in that: The types of electric vehicles include electric buses, electric taxis and electric private cars.

5. A distribution network electric vehicle charging load control system according to any one of claims 1-4, characterized in that: It includes the interaction layer, application layer, data collection layer and data support layer set up from top to bottom; The data support layer includes an Internet of Things management platform, a big data service platform, a cloud platform and a public service platform connected in sequence; The data acquisition layer is used to obtain distribution network data and provide data support to this system; The application layer is interactively connected with the data acquisition layer and the data support layer to provide data interface services; The interactive layer provides users with a friendly and convenient operation interface, and also provides distributed resource monitoring, control and interactive response operation functions.

6. A distribution network electric vehicle charging load control system according to claim 5, characterized in that: The interaction layer includes a resource supervision system, an interactive response system, a resource regulation and management system, and a regulation and information query system.

7. A distribution network electric vehicle charging load control system according to claim 6, characterized in that: The application layer includes a resource management service system, a resource settlement service system and a collaborative interactive response service system.

8. A distribution network electric vehicle charging load control system according to claim 7, characterized in that: The data collection layer is composed of multiple groups of sensors, which are used to collect load data of the distribution network in the area in real time and obtain user charging request data.

9. A distribution network electric vehicle charging load control system according to claim 5, characterized in that: The resource regulation and management system includes a dispatching center, which is used to dispatch the allocation of charging stations according to electric vehicle user data and power grid status.

10. A distribution network electric vehicle charging load control system according to claim 5, characterized in that: The interaction layer adopts the VUE development framework technology architecture, integrates H5, Node.js and web development technologies, and provides a human-computer interaction response framework for this system.

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