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满意度和清洁度优先的电动汽车与新能源双层多目标优化调度

黄华 常湧 李琦 桂俊平

电测与仪表2018,Vol.55Issue(3):59-66,79,9.
电测与仪表2018,Vol.55Issue(3):59-66,79,9.

满意度和清洁度优先的电动汽车与新能源双层多目标优化调度

Bi-level multi-objective optimization dispatch of electric vehicles and new energy sources with the priority of satisfaction and cleanliness

黄华 1常湧 1李琦 1桂俊平1

作者信息

  • 1. 武汉大学电气工程学院,武汉430072
  • 折叠

摘要

Abstract

Electric vehicles and the introduction of new energy sources,which are represented by wind power and optoelectronics,which improve the impact of the power system on the environment.However,the randomness of the electric vehicle network and the output uncertainty of new energy bring new problems to the system operation and scheduling.According to this background,a bi-level multi-objective optimization model for the joint scheduling of electric vehicles and new energy sources is set up,which takes the customer satisfaction index,and pollution discharge as the upper level decision,the power generation cost of thermal power unit,the tluctuation of the electric vehicle and the new energy output as the lower decision-making.The improved NSGA2 algorithm is used to solve the problem of the upper and lower layers,and the Pareto non-dominated solution set is obtained,determining the optimal compromise solution for uncertain decision making based on rough sets.The above mentioned model is applied to a practical example,the results not only verify the rationality of the proposed model,but also provide a reference for the power system in the new environment.

关键词

电动汽车/新能源/满意度/双层多目标优化/改进的NSGA2算法/粗糙集

Key words

electric vehicle/new energy/satisfaction/bi-level multi-objective optimization/improved NSGA2 algorithm/rough set

分类

信息技术与安全科学

引用本文复制引用

黄华,常湧,李琦,桂俊平..满意度和清洁度优先的电动汽车与新能源双层多目标优化调度[J].电测与仪表,2018,55(3):59-66,79,9.

电测与仪表

OA北大核心

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