Excitation measure regulation and control method and system based on flexible energy storage of electric vehicle

Abstract

The invention discloses an excitation measure regulation and control method and system based on flexible energy storage of an electric vehicle, and relates to the technical field of electric vehicle regulation and control. Comprising the following steps: acquiring basic data of an electric vehicle and a power grid; preprocessing the basic data to obtain preprocessed basic data; taking the electric vehicle as an adjustable load, and establishing an electric vehicle charging / discharging scheduling management model in a V2G mode based on an excitation demand response mechanism; and inputting the preprocessed basic data into an electric vehicle charging / discharging scheduling management model in a V2G mode, and regulating and controlling the flexible energy storage of the electric vehicle. According to the invention, efficient utilization and optimal configuration of energy can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle regulation, and more specifically to an incentive regulation method and system based on electric vehicle flexible energy storage. Background Art

[0002] While electric vehicles are used as a means of transportation, their charging load has gradually become an important part of the power grid load. When large-scale electric vehicle charging loads are connected to the power grid, it will bring a large power impact to the power grid, which may cause problems such as excessive voltage deviation and reduced power quality in severe cases.

[0003] With the popularity of electric vehicles, their potential as a flexible energy storage resource has gradually emerged. Electric vehicles can not only reduce carbon emissions, but also release electricity during peak load periods of the power grid, providing stable support for the power grid. With the profound transformation of the global energy structure and the unprecedented rapid development of the electric vehicle industry, the energy storage properties of electric vehicles are gradually emerging from their basic transportation properties and becoming a new focus of attention in the energy field. Against this background, electric vehicle flexible energy storage technology, especially Vehicle-to-Grid (V2G) technology, is increasingly receiving widespread attention and in-depth research in the industry.

[0004] Electric vehicles have considerable energy storage value. They can be used as distributed energy storage / load systems for power grids, providing conditions for peak shaving and valley filling of power systems and renewable energy consumption. The charging behavior of electric vehicles can be controlled through time-of-use electricity prices, market guidance and other strategies, thereby eliminating the temporal randomness and spatial uncertainty of electric vehicles when connected to the power grid as loads to a certain extent. The existing mobile energy storage control methods based on electric vehicles, during operation, when a large number of electric vehicles are used at the same time, make energy storage coordination difficult due to differences in the use time and arrival time of each electric vehicle and the heterogeneity of peak and off-peak times of electric vehicles during commuting.

[0005] Therefore, it is an urgent problem for those skilled in the art to propose an incentive regulation method and system based on flexible energy storage of electric vehicles to solve the difficulties existing in the prior art. Summary of the invention

[0006] In view of this, the present invention provides an incentive control method and system based on flexible energy storage of electric vehicles, which are used to solve the technical problems existing in the prior art.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A method for regulating incentives based on flexible energy storage of electric vehicles comprises the following steps:

[0009] Obtain basic data on electric vehicles and power grids;

[0010] Preprocessing the basic data to obtain preprocessed basic data;

[0011] Taking electric vehicles as adjustable loads, a charging / discharging scheduling management model for electric vehicles in V2G mode is established based on the incentive demand response mechanism.

[0012] The preprocessed basic data is input into the electric vehicle charging / discharging scheduling management model under the V2G mode to regulate the flexible energy storage of electric vehicles.

[0013] The above method is optional, and the specific content of preprocessing is:

[0014] Convert unstructured data in the acquired basic data into structured data;

[0015] Clustering structured data to obtain clustered data;

[0016] The preprocessed basic data is obtained after data standardization, data union and data cleaning of the cluster data.

[0017] In the above method, the specific content of the incentive demand response mechanism is optional:

[0018] Based on the peak shaving and valley filling effect, the grid company adjusts the incentive electricity price for aggregators, comprehensively considers the needs and economic costs of all parties involved in demand response to improve grid security, and calculates the final benefits of all parties involved in the response based on the dual standards of economy and peak shaving effect.

[0019] The above method is optional, and the specific content of the incentive electricity price adjustment based on the effect of peak shaving and valley filling is: the power grid company rewards the work of the aggregator according to the effect of peak shaving and valley filling; the aggregator flexibly incentivizes the users.

[0020] In the above method, optionally, the specific content of the electric vehicle charging / discharging scheduling management model in the V2G mode is:

[0021] The basic data of electric vehicles and power grids as well as the incentive demand response mechanism are input into the electric vehicle charging / discharging scheduling management model, thereby outputting the charging and discharging plan of electric vehicles and the benefits of electric vehicle users.

[0022] The above method optionally inputs the pre-processed basic data into the electric vehicle charging / discharging scheduling management model under the V2G mode, and the specific content of regulating the flexible energy storage of the electric vehicle is:

[0023] When the load is low, electric vehicles use the electric vehicle charging / discharging scheduling management model under the V2G mode to charge through the power grid and store excess energy; when the load is peak, electric vehicles realize energy feedback by discharging to the power grid.

[0024] The above method may optionally further include: formulating an operation adjustment strategy for flexible energy storage of electric vehicles based on the regulation results.

[0025] An incentive control system based on flexible energy storage of electric vehicles, using any of the above incentive control methods based on flexible energy storage of electric vehicles, comprising a data acquisition module, a preprocessing module, a model building module, and a control module connected in sequence; wherein,

[0026] Data acquisition module: obtain basic data of electric vehicles and power grids;

[0027] Preprocessing module: preprocess the basic data to obtain preprocessed basic data;

[0028] Construct model module: Taking electric vehicles as adjustable loads, establish an electric vehicle charging / discharging scheduling management model under V2G mode based on the incentive demand response mechanism;

[0029] Control module: input the pre-processed basic data into the electric vehicle charging / discharging scheduling management model under the V2G mode to control the flexible energy storage of electric vehicles.

[0030] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a method and system for regulating incentive measures based on flexible energy storage of electric vehicles, which has the following beneficial effects:

[0031] 1) Provide flexibility and reliability for coordinated operation of efficient battery supply for electric vehicles and effective utilization of renewable energy output by introducing mobile energy storage;

[0032] 2) Carry out refined management of the energy transfer issues of mobile energy storage, effectively reduce the operating pressure of various operators of electric vehicles, improve the consumption of new energy and reduce the transmission pressure of traditional power grids on the premise of meeting the convenience needs of electric vehicle users as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0034] Figure 1 A flow chart of a method for regulating incentives based on flexible energy storage of electric vehicles provided by the present invention;

[0035] Figure 2 A structural diagram of an incentive control system based on flexible energy storage of electric vehicles provided by the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 As shown, the present invention discloses a method for regulating incentive measures based on flexible energy storage of electric vehicles, comprising the following steps:

[0038] Obtain basic data on electric vehicles and power grids;

[0039] Preprocessing the basic data to obtain preprocessed basic data;

[0040] Taking electric vehicles as adjustable loads, a charging / discharging scheduling management model for electric vehicles in V2G mode is established based on the incentive demand response mechanism.

[0041] The preprocessed basic data is input into the electric vehicle charging / discharging scheduling management model under the V2G mode to regulate the flexible energy storage of electric vehicles.

[0042] Specifically, due to the large number of electric vehicles and their wide distribution, they can form a huge distributed energy storage network, which has a significant pressure-reducing effect on the power grid, especially in providing flexible peak-shaving services during peak and valley periods. Secondly, due to the obvious temporal and spatial heterogeneity of the use of electric vehicles, their batteries can be used as a redundant energy storage resource for intelligent scheduling and management during non-driving periods, such as charging at night to store electricity during low-peak periods, and releasing the stored electricity during peak periods during the day, effectively alleviating the power supply pressure of traditional power grids during peak periods, and achieving efficient energy utilization and peak-shaving and valley-filling.

[0043] Furthermore, the specific contents of preprocessing are:

[0044] Convert unstructured data in the acquired basic data into structured data;

[0045] Clustering structured data to obtain clustered data;

[0046] The preprocessed basic data is obtained after data standardization, data union and data cleaning of the cluster data.

[0047] Specifically, according to the received data preprocessing instructions, basic data of electric vehicles and power grids are obtained from multiple data sources. The prominent features of these multi-source data are structured data, semi-structured data or unstructured data. According to different data sources, data sources can be divided into database data (such as Mysql, SQLServer, MongoDB, Oracle, DB2, Sybase database, etc.), file data (such as text files, Excel files, Word files, etc.), cloud data and crawler data, etc.

[0048] Furthermore, the specific contents of the incentive demand response mechanism are as follows:

[0049] Based on the peak shaving and valley filling effect, the grid company adjusts the incentive electricity price for aggregators, comprehensively considers the needs and economic costs of all parties involved in demand response to improve grid security, and calculates the final benefits of all parties involved in the response based on the dual standards of economy and peak shaving effect.

[0050] Specifically, the peak shaving and valley filling effect is as follows:

[0051] During peak hours of the power grid, the V2G mode flexibly releases the stored electric energy back to the power grid, reducing the instantaneous power supply pressure of the power grid, improving the power grid load curve, and achieving the effect of peak shaving and valley filling.

[0052] Furthermore, the specific content of the incentive electricity price adjustment based on the effect of peak shaving and valley filling is: the power grid company rewards the work of the aggregator according to the effect of peak shaving and valley filling; the aggregator provides flexible incentives to users.

[0053] Furthermore, the specific contents of the electric vehicle charging / discharging scheduling management model under the V2G mode are as follows:

[0054] The basic data of electric vehicles and power grids as well as the incentive demand response mechanism are input into the electric vehicle charging / discharging scheduling management model, thereby outputting the charging and discharging plan of electric vehicles and the benefits of electric vehicle users.

[0055] Furthermore, the pre-processed basic data is input into the electric vehicle charging / discharging scheduling management model under the V2G mode, and the specific content of regulating the flexible energy storage of electric vehicles is as follows:

[0056] When the load is low, electric vehicles use the electric vehicle charging / discharging scheduling management model under the V2G mode to charge through the power grid and store excess energy; when the load is peak, electric vehicles realize energy feedback by discharging to the power grid.

[0057] Furthermore, it also includes: formulating an operation adjustment strategy for flexible energy storage of electric vehicles based on the regulation results.

[0058] Specifically, in order to meet the operation status of the power grid and the actual needs of electric vehicle users, a reasonable adjustment strategy needs to be formulated. During the peak hours of the power grid, electric vehicles are given priority to provide power support to reduce the pressure on the power grid; during the low hours of the power grid, electric vehicles are encouraged to charge to balance the load of the power grid. At the same time, it is also necessary to consider the driving needs of electric vehicle users and formulate a reasonable charging and discharging plan to avoid affecting the normal use of users.

[0059] In a specific embodiment, basic data of electric vehicles and power grids are obtained and preprocessed to obtain preprocessed basic data. Electric vehicles are taken as adjustable loads, and a charging / discharging scheduling management model for electric vehicles in V2G mode is established based on an incentive demand response mechanism. The obtained preprocessed basic data are input into the charging / discharging scheduling management model for electric vehicles in V2G mode to regulate the flexible energy storage of electric vehicles, so that flexible peak-shaving services can be provided during peak and valley periods.

[0060] and Figure 1 Corresponding to the method described above, an incentive control system based on electric vehicle flexibility energy storage is used to Figure 1 The specific implementation of the method in the above example is shown in the schematic diagram of its structure. Figure 2 As shown, it includes a data acquisition module, a preprocessing module, a model building module, and a control module connected in sequence; wherein,

[0061] Data acquisition module: obtain basic data of electric vehicles and power grids;

[0062] Preprocessing module: preprocess the basic data to obtain preprocessed basic data;

[0063] Construct model module: Taking electric vehicles as adjustable loads, establish an electric vehicle charging / discharging scheduling management model under V2G mode based on the incentive demand response mechanism;

[0064] Control module: input the pre-processed basic data into the electric vehicle charging / discharging scheduling management model under the V2G mode to control the flexible energy storage of electric vehicles.

[0065] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0066] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for regulating incentives based on flexible energy storage of electric vehicles, characterized in that: The following steps are involved: Obtain basic data on electric vehicles and power grids; Preprocessing the basic data to obtain preprocessed basic data; Taking electric vehicles as adjustable loads, a charging / discharging scheduling management model for electric vehicles in V2G mode is established based on the incentive demand response mechanism. The preprocessed basic data is input into the electric vehicle charging / discharging scheduling management model under the V2G mode to regulate the flexible energy storage of electric vehicles.

2. The method for regulating incentives based on flexible energy storage of electric vehicles according to claim 1, characterized in that: The specific contents of preprocessing are: Convert unstructured data in the acquired basic data into structured data; Clustering structured data to obtain clustered data; The preprocessed basic data is obtained after data standardization, data union and data cleaning of the cluster data.

3. The method for regulating incentives based on flexible energy storage of electric vehicles according to claim 1, characterized in that: The specific contents of the incentive demand response mechanism are: Based on the peak shaving and valley filling effect, the grid company adjusts the incentive electricity price for aggregators, comprehensively considers the needs and economic costs of all parties involved in demand response to improve grid security, and calculates the final benefits of all parties involved in the response based on the dual standards of economy and peak shaving effect.

4. The method for regulating incentives based on flexible energy storage of electric vehicles according to claim 3, characterized in that: The specific content of the incentive electricity price adjustment based on the effect of peak shaving and valley filling is: the power grid company rewards the work of the aggregator according to the effect of peak shaving and valley filling; the aggregator provides flexible incentives to users.

5. The method for regulating incentives based on flexible energy storage of electric vehicles according to claim 1, characterized in that: The specific contents of the electric vehicle charging / discharging scheduling management model under the V2G mode are: The basic data of electric vehicles and power grids as well as the incentive demand response mechanism are input into the electric vehicle charging / discharging scheduling management model, thereby outputting the charging and discharging plan of electric vehicles and the benefits of electric vehicle users.

6. The method for regulating incentives based on flexible energy storage of electric vehicles according to claim 1, characterized in that: The pre-processed basic data is input into the electric vehicle charging / discharging scheduling management model under the V2G mode. The specific content of regulating the flexible energy storage of electric vehicles is as follows: When the load is low, electric vehicles use the electric vehicle charging / discharging scheduling management model under the V2G mode to charge through the power grid and store excess energy; when the load is peak, electric vehicles realize energy feedback by discharging to the power grid.

7. The method for regulating incentives based on flexible energy storage of electric vehicles according to claim 1, characterized in that: Also includes: Formulate operation adjustment strategies for flexible energy storage of electric vehicles based on the regulation results.

8. An incentive control system based on electric vehicle flexible energy storage, characterized in that A method for regulating incentives based on flexible energy storage of electric vehicles as described in any one of claims 1 to 7 is applied, comprising a data acquisition module, a preprocessing module, a model building module, and a regulation module connected in sequence; wherein: Data acquisition module: obtain basic data of electric vehicles and power grids; Preprocessing module: preprocess the basic data to obtain preprocessed basic data; Construct model module: Taking electric vehicles as adjustable loads, establish an electric vehicle charging / discharging scheduling management model under V2G mode based on the incentive demand response mechanism; Control module: input the pre-processed basic data into the electric vehicle charging / discharging scheduling management model under the V2G mode to control the flexible energy storage of electric vehicles.

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