Load Forecasting Method for Regional Electric Vehicle Charging Stations Based on User Travel Simulation
A technology of electric vehicle and load forecasting, applied in the direction of load forecasting, forecasting, and electrical components in the AC network, can solve the problem of randomness in time and space, which cannot effectively reflect the randomness of electric vehicle users' travel rules, electric vehicle charging stations, etc. Type is not comprehensive enough and other problems, to achieve the effect of strong practicability
Active Publication Date: 2020-08-21
GUANGXI POWER GRID CO LIUZHOU POWER SUPPLY BUREAU
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the charging behavior of electric vehicles is affected by users' travel needs and other environmental factors, and there is randomness in both time and space.
Although the above algorithm guarantees the accuracy to a certain extent, it is still limited to simple probability distribution rules and specific historical data of charging stations. It is not comprehensive enough to consider the types of electric vehicle charging stations, and cannot effectively reflect the randomness of electric vehicle users' travel rules.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0022] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0023] Such as figure 1 As shown, the regional electric vehicle charging station load forecasting method based on user travel simulation described in the present invention includes steps:
[0024] (1) Classify the types of electric vehicle charging stations according to the user's travel purpose and location;
[0025] Areas include residential areas (H), work areas (W), public leisure areas (P), and other areas (O), and electric vehicle charging station types include residential area charging stations, work area charging stations, public leisure area charging stations, and others District charging station.
[0026] (2) Use the discrete Markov process to simulate the user's travel activities between different areas, and construct a travel chain;
[0027] The travel chain refers to the time and space change process of residen...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a user trip simulation-based regional electric vehicle charging station load prediction method. The method comprises the following steps of: dividing types of electric vehiclecharging stations according to user trip destinations and regions, simulating trip activities, in different regions, of users by adoption of a discrete Markov process so as to construct trip chains; extracting spatial-temporal characteristics influencing charging loads of the electric vehicle charging stations from the trip chains, and fitting the characteristics by adoption of probability distribution; setting charging conditions according to trip demands of the users, and establishing a regional electric vehicle charging station load prediction model; and calculating load prediction curves of different types of electric vehicle charging stations by utilizing a monte Carlo simulation method. The method is capable of effectively reflecting the trip randomness of electric vehicle users, accurately predicting load distributions of different types of electric vehicle charging stations, and providing powerful guarantee for researching influences, on power grids, of large-scale electric vehicle access, and ordered charging of large-scale electric vehicles; and the method has good practicability.
Description
technical field [0001] The invention relates to the field of load forecasting of electric vehicle charging stations, in particular to a load forecasting method for regional electric vehicle charging stations based on user travel simulation. Background technique [0002] In today's society, the environmental crisis is intensifying, and traditional fuel vehicles produce a large amount of harmful gases, making the global greenhouse effect more and more obvious. Electric vehicles have become a research hotspot in the field of automobile research and development in recent years due to their low noise, low cost, and environmental protection. The electric vehicle industry and supporting facilities such as electric vehicle charging stations have also been rapidly promoted in a short period of time. [0003] Electric vehicle charging station is an important facility for the large-scale promotion of electric vehicles, and its load distribution is very important for the stable operati...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06H02J3/00
CPCG06Q10/04G06Q50/06H02J3/00H02J3/003H02J2203/20
Inventor 李想鲁林军金庆忍赵嘉骏陆振华袁彦李春华
Owner GUANGXI POWER GRID CO LIUZHOU POWER SUPPLY BUREAU