A multi-objective optimization method for charging and discharging of large-scale electric vehicles based on sine-cosine algorithm

Abstract

The invention discloses a large-scale electric automobile charge and discharge multi-target optimization method based on a sine cosine algorithm (SCA). According to the method, large-scale electric automobiles are grouped and classified by using a similar grouping method, and formulation of an electric automobile group charge and discharge strategy is performed by using the SCA so as to realize the objectives of power grid side peak shaving and minimum user side charge expense. Besides, the adopted sine cosine algorithm is a new intelligent algorithm and has the characteristics of faster rate of convergence and higher global convergence in comparison with the classic genetic algorithm (GA) and particle swarm optimization (PSO) and the like so that formulation of the electric automobile charge and discharge plan is enabled to be more reasonable.

Description

technical field [0001] The invention relates to the fields of optimization of intelligent distribution network and optimization of charging and discharging strategies of electric vehicles, in particular to a multi-objective optimization method for charging and discharging of large-scale electric vehicles based on a sine-cosine algorithm. Background technique [0002] With the continuous progress and development of society and the continuous improvement of economic level, user-side distributed equipment (mainly electric vehicles) will penetrate into the power grid in large numbers in the foreseeable future. Electric vehicles have the advantages of zero emission, low noise, no pollution, and high efficiency. They are considered to be one of the effective measures to alleviate the energy crisis and are being promoted by countries all over the world. However, if the charging behavior of electric vehicles is not guided, the disorderly charging of a large number of electric vehicl...

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Problems solved by technology

[0005] Aiming at the deficiencies of the existing charging and discharging optimization technology for large-scale electric vehicles, the present invention provides a multi-objective charging and discharging optimization algorithm for large-scale electric vehicles, which can adapt to the optimization algorithm of charging and discharging of large-scale electric vehicles and can adapt to large-scale electric vehicles. The calculation amount of vehicle charging and discharging optimization has faster calculation speed, better calculation speed and better calculation accuracy, which solves the problem of slow calculation and high precision when the traditional electric vehicle optimization model is faced with large-scale electric vehicle access. low problem

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