A calculation method for real-time charging electricity price of electric vehicles based on Internet of Vehicles
A technology for electric vehicles and charging electricity prices, applied in computing, data processing applications, instruments, etc., can solve problems such as EV charging load peaks, avalanche effects, and increasing the randomness of electric vehicle charging
Active Publication Date: 2022-02-22
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +5
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Problems solved by technology
At the same time, due to the special spatio-temporal characteristics of electric vehicles as grid loads, most researchers formulate electricity prices from a time perspective, but ignore the large differences in the charging needs and response behaviors of electric vehicle users in different regions, and lack a price mechanism that takes into account both time and space.
In the prior art, the time-of-use electricity price is often used to guide the orderly charging of electric vehicles. This seems to be feasible for a single electric vehicle. The "avalanche effect" occurs, that is, when the electricity price is low, a large number of EV charging causes a new load peak
Moreover, with the development of the smart car networking platform, electric vehicles will increase the form of scheduled charging, increasing the randomness of electric vehicle charging
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[0051] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:
[0052] A method for calculating real-time charging electricity price of electric vehicles based on Internet of Vehicles, such as figure 1 shown, including the following steps:
[0053] Step 1. Input a typical 96-point daily load curve of a power grid in a certain place, and use Monte Carlo to randomly simulate the travel and charging process of electric vehicles;
[0054] In this embodiment, through the statistical analysis of the travel behavior of electric vehicles in the area, the travel characteristic quantities of electric vehicles such as average mileage, energy consumption per kilometer, last return time, and travel time distribution are obtained. Combined with the charging data of specific electric vehicles, the user's charging behavior is mainly analyzed on the charging location, charging frequency, charging initial time, charging duratio...
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The present invention relates to a method for calculating real-time charging electricity price of an electric vehicle based on the Internet of Vehicles. Its technical features include the following steps: Step 1. Input a typical 96-point daily load curve of a power grid in a certain place, and use Monte Carlo to simulate the electric vehicle at random. Traveling and charging process; Step 2. According to the SOC status of electric vehicles, determine whether users can participate in grid demand response; Step 3. By calculating the charging power and charging time of electric vehicles connected to the grid to meet their travel needs, determine the charging time of electric vehicles. Charging demand; step 4. After determining the charging demand of the electric vehicle, the real-time electricity price is obtained by judging the relationship between the sum of the grid load and the charging load and the peak load threshold M, and the electric vehicle is charged according to the real-time electricity price. The system updates the running information. The invention takes into account the two dimensions of time and space, and formulates a calculation method for real-time electricity prices considering scheduled charging.
Description
technical field [0001] The invention belongs to the technical field of electric power demand response, and relates to a method for calculating a real-time charging price of an electric vehicle, in particular to a method for calculating a real-time charging price of an electric vehicle based on the Internet of Vehicles. Background technique [0002] With the rapid development of electric vehicles, due to the strong randomness and autonomy of the charging behavior of electric vehicle owners, the centralized charging of large-scale electric vehicles will seriously affect the load balance of the distribution network, resulting in the shortage of power supply in some areas of the power grid. In particular, charging during peak load hours will increase the burden on the distribution network. At the same time, a smart car networking platform emerged as the times require. The development of the Internet of Vehicles is conducive to the establishment of real-time charging electricity...
Claims
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IPC IPC(8): G06Q30/02G06Q50/06
CPCG06Q30/0283G06Q50/06Y04S50/14
Inventor 于建成麻秀范王旭东田世明王伟吴磊李国栋朱思嘉周长新崇志强姚程余庆红陈静李思远戚艳段颖张剑杨宇全李志远
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO