Electric vehicle orderly charging control method

Abstract

The invention discloses an electric vehicle orderly charging control method, which mainly comprises the following steps: firstly obtaining the probability distribution of the electric vehicle daily traveling mileage, the last trip end time and the charging time length according to the use situation of the electric vehicle; simulating the distribution of electric vehicle charging load in differentperiods of 24 hours a day through the Monte Carlo method; accessing the load of the electric vehicle into the IEEE 33-bus distribution system randomly, and calculating the voltage amplitude and network loss of each node of the distribution system through the forward-backward substitution power flow calculation method; constructing an electric vehicle orderly charging optimal dispatching model based on an electricity price guidance scheme according to the 24-hour charging power demand model of the electric vehicle and the negative influence of disordered charging on the distribution network. The optimal dispatching model optimizes the dispatching of the electricity price and grid peak-valley difference to reduce daily load peak-valley difference and electric vehicle user charging cost, andalleviates the influence of electric vehicle access on the grid.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle charging, in particular to a method for controlling orderly charging of electric vehicles. Background technique [0002] The electric vehicle commonly used in today's era is a means of transportation that uses petroleum as the only fuel. With the development of society and economy, the dependence on petrochemical resources is becoming more and more serious. The scarcity of fossil energy has become a common problem faced by the whole world. On the other hand, the combustion of a large amount of fossil energy makes SO 2 , CO 2 Emissions of harmful gases are increasing year by year. CO in conventional vehicle exhaust 2 It is the largest source of pollution that causes the greenhouse effect, and the environmental problems caused by the increase in the number of cars are becoming more and more serious. Faced with the dual pressures of energy and environment, the traditional auto industry m...

AI Technical Summary

Problems solved by technology

[0004] At present, there is no method for optimizing the scheduling of electric vehicle charging in the existing technology. The patent application number 201810087702.6 discloses a load prediction method for regional electric vehicle charging stations based on user travel simulation. According to the user's travel purpose and The type of electric vehicle charging station is divided by region, and the discrete Markov process is used to simulate the travel activities of users in different regions to construct a travel chain; the spatio-temporal feature quantities that affect the charging load of electric vehicle charging stations in the travel chain are extracted, and used Probability distribution fitting; charging conditions are set according to user travel needs, and a load forecasting model for electric vehicle charging stations in the area is established; load forecasting curves of different types of electric vehicle charging stations are calculated by Monte Carlo simulation

However, this patent can only be used to predict the load of the charging station, and then study the impact of electric vehicles connected to the grid on the grid, but cannot effectively solve the problems caused by the connection of electric vehicles to the grid

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