Electric vehicle resident area charging load analysis and prediction method based on mathematical model

Abstract

The invention discloses an electric vehicle resident area charging load analysis and prediction method based on a mathematical model. The method comprises: 1, regional parking behavior analysis is conducted on the parking generation rate and the parking space supply and demand conditions of sub-regions in a city; 2, SOC characteristic analysis is carried out according to the mileage model and therelation model of electric vehicle movement and power consumption; 3, analyzing the charging behavior of the electric vehicle by combining the step 1 and the step 2 according to the charging characteristics of the residential area in the city; 4, integrating all stages of analysis to form a mathematical model, carrying out specific case analysis, and obtaining a design evaluation scheme. The electric vehicle charging load prediction can provide technical support for reasonable scheduling, peak clipping and valley filling and electric power strategies of an urban intelligent power grid, and meanwhile provide reference basis for distribution, site selection and constant volume of charging piles in future. The invention aims to study the location property of an urban resident area, and meanwhile, the behavior characteristics of the electric vehicle are investigated in detail.

Description

technical field [0001] The invention belongs to the field of electric load forecasting, and in particular relates to a mathematical model-based method for analyzing and predicting charging loads in residential areas of electric vehicles. Background technique [0002] In recent years, the global energy shortage and the environmental situation have become increasingly severe. All major countries have promoted the introduction of green energy as a national-level development strategy; therefore, electric vehicles with electric energy as the main power source have also rapidly gained large-scale application and popularization. With the development of electric vehicles, the grid load is expected to increase sharply, and the operation and regulation of the entire grid will have an impact that cannot be ignored. The "peak-to-valley ratio" of power grid load is increasing day by day, and the power grid is also facing unprecedented peak-shaving tasks and scheduling pressures. Electri...

AI Technical Summary

Problems solved by technology

First, it will increase the overall load of the system and increase the peak-to-valley difference rate; second, it will bring burdens to equipment such as system lines and transformers, resulting in overloaded operation of equipment; third, the parking and charging behavior of electric vehicles has very obvious time and space Randomness, which makes the charging load of electric vehicles have greater uncertainty, which increases the difficulty of controlling the overall dispatch of the power grid

Fourth, during the charging process, the electric energy exchange between the electric vehicle and the grid needs to be "rectified and transformed" by the charging pile, which will generate a large number of harmonics to the power supply system, affect the power quality, cause voltage loss and three-phase imbalance, and make the node voltage shift bigger problem

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