Charge and discharge optimizing method considering customer satisfaction and distribution network safety for electric automobile

Abstract

The invention discloses a charge and discharge optimizing method considering customer satisfaction and distribution network safety for an electric automobile, and particular relates to a multi-objective bilevel charge and discharge optimizing method considering the customer satisfaction and network distribution safety constraint for the electric automobile. The multi-objective bilevel charge and discharge optimizing method is suitable for scheduling and controlling of network entry of large-scale electric automobiles. Based on the consideration of distribution network purchase and selling electricity price and electricity purchase cost, distribution network load fluctuation, customer charge demand, satisfaction participation of charge scheduling and the like, the invention provides a charge bilevel scheduling model for the electric automobile in the distribution network by using minimum electricity purchase cost and minimum load fluctuation of the distribution network as well as maximum satisfaction that the customer participates in charge scheduling as objects, and an NSGA-II algorithm and a Yalmip / Cplex tool are adopted for solving; electricity purchase cost and net load fluctuation of the distribution network is minimized by a distribution network layer, so operation economy of the distribution network is improved; a charging station layer is matched with the distribution network layer for scheduling; the satisfaction that the customer participates in charge and discharge scheduling is improved by adopting a two-stage optimizing method.

Description

technical field [0001] The invention relates to an electric vehicle charging and discharging optimization method considering user satisfaction and distribution network safety, in particular to a multi-objective double-layer charging optimization method for electric vehicles considering user satisfaction, which is suitable for scheduling and control of large-scale electric vehicles entering the network . Background technique [0002] The number of electric vehicles in the future power system will be very large, and it is necessary to optimize the charging and discharging of electric vehicles. The optimal control of charging and discharging of electric vehicles in the charging station can reduce the charging cost of users to a certain extent, and reduce the adverse impact of random charging of electric vehicles on the power grid, but it cannot effectively take into account the voltage and thermal power of the charging load connected to the power grid. constraint. Therefore, ...

AI Technical Summary

Problems solved by technology

The optimal control of charging and discharging of electric vehicles in the charging station can reduce the charging cost of users to a certain extent, and reduce the adverse impact of random charging of electric vehicles on the power grid, but it cannot effectively take into account the voltage and thermal power of the charging load connected to the power grid. constraint

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