Optimization method of electric vehicle charge/discharge price considering vehicle owner response and grid cost

Abstract

As that exist charge / discharge price is only priced from the viewpoint of the power grid or the vehicle owner, This paper presents a multi-objective optimization model of electric vehicle charge / discharge price, which takes into account both vehicle owner response and grid cost. Firstly, the travel rules of electric vehicle users are analyzed, and the travel and battery state-of-charge constraintsare defined. Secondly, under the restriction of the user's charge-discharge behavior and battery characteristics, the user transfer rate and unit electric energy cost function are designed, and a multi-objective model of charge-discharge price is constructed, which minimizes the electric cost and avoids the maximization of the investment in the power grid, considering the owner's response. Finally, a multi-objective fish swarm immune algorithm with shrinking space is proposed to optimize the model. Simulating the electricity price optimization model through the experimental guidelines can reduce the power grid input and user expenditure and improve the responsiveness of users participating in power grid load regulation at the same time. It has the advantages of scientific and reasonable method, strong applicability and good effect.

Description

technical field [0001] The invention relates to the field of multi-user interaction distribution network planning, design and operation control, and is an electric vehicle charging and discharging price optimization method that takes into account vehicle owner response and power grid cost. Background technique [0002] In recent years, due to the increasingly serious energy crisis and environmental pollution, the development of electric vehicles will greatly reduce the dependence on fossil energy and alleviate the pollution caused by exhaust emissions, making it a common development direction in the field of transportation in the world. However, the random access of large-scale electric vehicles to the power grid will increase the load fluctuation of the system in a certain period of time, increasing the operation risk and control difficulty of the power grid. In addition, electric vehicles can discharge to the system through vehicle to grid technology (Vehicle to Grid), tha...

AI Technical Summary

Problems solved by technology

At present, in the research on orderly guiding the charging and discharging of electric vehicles, most of the research is to conduct random sampling analysis on electric vehicle users, and do not fully mobilize users to actively participate in the load regulation of the power system.

However, most of the existing electricity price models consider the interests of the power grid or users alone, resulting in an unbalanced distribution of interests between the two parties, and lack of analysis that combines consideration of reducing user expenses and avoiding new cost inputs to the power grid while ensuring that users actively participate in the optimization mechanism.

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