Multi-objective optimization strategy of islanding microgrid based on improved NSGA-II algorithm

Author:

Zhu Xulei,Guo Xingzhong

Abstract

Abstract Aiming at the microgrid system with distributed energy sources such as wind, diesel generator, and fuel cell and flexible load in islanding mode, the optimal dispatching model is established to consider the optimal load and reduce the economic cost. This study adopts the improved NSGA-II algorithm, which can improve the optimization efficiency and get the optimal solution better. The simulation analysis of the microgrid in the islanded mode is carried out within a cycle of 24 h. The results of the model show that this strategy can effectively optimize the load curve and reduce the current cost of supply.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference15 articles.

1. Distributed Optimal Dispatching of Multi-entity Distribution Network with Demand Response and Edge Computing[J];Wang,2020

2. Optimal Scheduling Strategy of Distribution Network Based on Electric Vehicle Forecasting[J];Li;Electronics,2019

3. Multi-objective operation optimization of active distribution network based on three-terminal flexible multi-state switch[J];Zhang;Journal of Renewable and Sustainable Energy,2019

4. Optimum location of resources in distributed planning[J];Rau;IEEE Transactions on Power Systems,2002

5. Optimal planning of swapping/charging station network with customer satisfaction[J];Yang;Transportation Research Part E Logistics & Transportation Review,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3