Electric vehicle real-time charging scheduling method based on charging station comprehensive state prediction

Abstract

The invention discloses an electric vehicle real-time charging scheduling method based on charging station comprehensive state prediction. The method comprises the following steps: establishing a charging station comprehensive state prediction model of a charging station function, an idle state and a comprehensive charging progress; based on the vehicle scheduling theory, taking the vehicle ownersatisfaction degree, the maximum charging station total income and the minimum power grid load total variance fluctuation as targets, establishing a multi-objective scheduling model, optimizing the model, and obtaining an optimal scheduling strategy, so an effective solution is provided for simultaneously reducing charging station utilization imbalance, improving vehicle owner satisfaction, improving charging station income and reducing power grid load fluctuation.

Description

technical field [0001] The invention belongs to the field of electric vehicle charging, and relates to a real-time scheduling method for electric vehicles based on comprehensive state prediction of charging stations. Background technique [0002] The electric vehicle charging scheduling problem is one of the basic problems in the field of electric vehicle charging research. The real-time charging scheduling of electric vehicles generally obtains real-time information such as charging stations, electric vehicles, and power grids, predicts the status of charging stations and guides electric vehicles with charging needs. to the optimally adapted charging station. Scheduling decisions are affected by comprehensive states such as the role of charging stations, idle states, and charging progress. The traditional real-time dispatching methods for electric vehicles do not comprehensively consider the impact of state changes and coupling relationships of charging stations on dispatch...

AI Technical Summary

Problems solved by technology

Scheduling decisions are affected by comprehensive states such as the role of charging stations, idle states, and charging progress. The traditional real-time dispatching methods for electric vehicles do not comprehensively consider the impact of state changes and coupling relationships of charging stations on dispatching decisions, and only analyze or predict some states, which is easy Unreasonable scheduling methods and strategies lead to unbalanced electric vehicle charging demand and charging station supply, large grid load fluctuations, and low vehicle owner satisfaction.

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