Electric vehicle grid-connected optimization scheduling method based on two-stage preprocessing strategy

Abstract

The invention discloses an electric vehicle grid-connected optimization scheduling method based on a two-stage preprocessing strategy. The method comprises steps: S1, a power grid model and real-timedata are acquired; S2, a two-stage electric vehicle charging and discharging optimization scheduling model is established; S3, a first-stage model is preprocessed; S4, a weight adaptive particle swarmalgorithm is adopted to calculate the active power output and a unit combination of the first-stage model; S5, the output of the first-stage model is used as input of a second-stage model; S6, the number of charging and discharging electric vehicles optimally burdened by each node in a distribution network layer under network security constraints is considered; S7, whether the corresponding nodevoltage exceeds a limit is judged; S8, the sensitivity of the reactive power change of the node to the voltage is calculated, and network security constraint conditions are added; and S9, optimizationscheduling is ended. Peak clipping and valley filling can be realized, safety and economic hazards brought by a large scale of electric vehicles accessed to the power grid are reduced, the power generation cost of a generator unit is reduced, and the distribution network loss is reduced.

Description

technical field [0001] The invention relates to an electric vehicle grid-connected optimal dispatching method based on a two-stage preprocessing strategy, which belongs to the power system control technology. Background technique [0002] Under the circumstances of today's energy crisis and increasingly serious environmental pollution problems, electric vehicles have ushered in a major opportunity for their own development. Major countries in the world have successively introduced and implemented a number of policies and measures to support the research of electric vehicles and promote the new energy vehicle industry. The development has achieved certain results so far. However, since large-scale disorderly charging and discharging of electric vehicles connected to the grid will bring huge security and economic threats to the power grid, it is currently a major difficulty to study the orderly charging and discharging of electric vehicles and optimize economic dispatch. Con...

AI Technical Summary

Problems solved by technology

However, since large-scale disorderly charging and discharging of electric vehicles connected to the grid will bring huge security and economic threats to the power grid, it is currently a major difficulty to study the orderly charging and discharging of electric vehicles and optimize economic dispatch.

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