An optimization method for charging and discharging prices of electric vehicles taking into account the owner's response and grid cost

Abstract

Aiming at the problem that the existing charging and discharging price only considers the pricing from the perspective of the power grid or the car owner, resulting in unbalanced distribution of benefits between the two parties, the present invention proposes a multi-objective optimization model for the charging and discharging price of electric vehicles that takes into account both the car owner's response and the cost of the power grid. Its characteristics are: first , analyze the travel rules of electric vehicle users, and define the constraints of travel and battery state of charge; secondly, under the constraints of user charging and discharging behavior and battery characteristics, design the user transfer rate and unit electric energy cost function, and construct the electricity expense considering the owner's response A multi-objective model of charging and discharging prices that minimizes and avoids maximizing grid investment; finally, a multi-objective fish swarm immune algorithm for shrinking space is proposed to optimize and solve the model. Simulating the electricity price optimization model through the experimental guidelines can reduce grid investment and user expenditure, and at the same time improve the responsiveness of users to participate in grid load regulation. 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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