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Electric vehicle charging and discharging scheduling method based on simulation strategy improvement algorithm

A technology for electric vehicles and improved algorithms, applied in electric vehicle charging technology, electric vehicles, constraint-based CAD, etc., can solve problems such as difficult and efficient solutions, improve adaptability, improve solution speed and efficiency, and reduce dissatisfaction Effect

Pending Publication Date: 2022-07-12
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The access of a large number of electric vehicles will bring large state space and large behavior space problems, which are difficult to solve efficiently

Method used

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  • Electric vehicle charging and discharging scheduling method based on simulation strategy improvement algorithm
  • Electric vehicle charging and discharging scheduling method based on simulation strategy improvement algorithm
  • Electric vehicle charging and discharging scheduling method based on simulation strategy improvement algorithm

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Embodiment Construction

[0017] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0018] like figure 1 As shown, the present invention mainly includes: an initialization module, a multi-stage random charge-discharge scheduling model building module, a constraint condition building module, an optimization objective function building module, a sample path simulation module, a behavior set screening module, an optimal Q factor calculation module and The optimal charging and discharging scheduling strategy extracts the output module. Combined with the flow chart, the specific implementation steps are as follows:

[0019] Step 1: Initialize. By inputting the number N of electric vehicles to be charged and discharged by the operator, the starting time of the electric vehicle's parking and charging demand obeys the probability distribution P b , the parking time obeys the probability distribution P d ,...

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Abstract

The invention discloses an electric vehicle charging and discharging scheduling method based on a simulation strategy improvement algorithm, and the method comprises the following steps: building a multi-stage charging and discharging scheduling control Markov decision model considering the random charging demand of an electric vehicle, and determining a model constraint condition and an optimization target; generating a future charging demand sample path of the electric vehicle based on Monte Carlo analog simulation; performing reduction screening on the feasible charging and discharging behavior set of the electric vehicle in combination with the problem structure characteristics; and calculating a Q factor of each feasible behavior by adopting a simulation-based strategy improvement algorithm, and updating the basic strategy to obtain an improved strategy. The charging and discharging scheduling strategy obtained by the invention considers the multi-period charging and discharging control influence, can adapt to the uncertain charging demand change in the future, and can improve the solving speed and efficiency of the charging and discharging scheduling control of the electric vehicle.

Description

technical field [0001] The invention relates to the field of electric vehicle charging and discharging scheduling control, in particular to an electric vehicle charging scheduling method based on an improved simulation strategy algorithm. Background technique [0002] With the continuous increase of environmental pollution, electric vehicles have received extensive attention in recent years. Electric vehicles use the on-board power supply as their driving force, and have the advantages of low pollution and fuel cost savings. The popularization of electric vehicles can reduce energy consumption and reduce exhaust emissions, so as to achieve the purpose of energy saving and emission reduction. It can be predicted that the electric vehicle market will maintain a strong upward momentum in the future, and electric vehicles will gradually achieve large-scale popularization. The large-scale popularization of electric vehicles will become an important means to reduce fossil energy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/06G06F111/04
CPCG06F30/20G06Q10/06315G06F2111/04Y04S30/12
Inventor 黄琦龙杨力戚耀文迟成孔相广梁超
Owner NANJING UNIV OF SCI & TECH
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