HOME
About Journal
Historical evolution
Journal Honors
Editorial Board
Members of Committee
Director of the Committee
President and Editor in chief
Submission Guide
Instructions for Authors
Manuscript Processing Flow
Model Text
Procedures for Submission
Academic Influence
Open Access
Ethics&Policies
Publication Ethics Statement
Peer Review Process
Academic Misconduct Identification and Treatment
Advertising and Marketing
Correction and Retraction
Conflict of Interest
Authorship & Copyright
Contact Us
Chinese
Site search
Article Number
On-site news
English title
Author's English Name
Author's Chinese Name
Chinese name of the company
English name of the compan
Chinese keywords
English keywords
Chinese Abstract
English Abstract
Fund projects
Article Number
Chinese Title
English title
Author's English Name
Author's Chinese Name
Chinese name of the company
English name of the compan
Chinese keywords
English keywords
Chinese Abstract
English Abstract
Fund projects
文章摘要
基于改进多目标粒子群算法的微网双层优化调度策略
Bilevel Optimization Scheduling Strategy Based on Improved MOPSO
Received:April 17, 2017
Revised:April 17, 2017
DOI：
中文关键词
:
微网
多目标优化
双层优化
栅格法
拥挤度
组合赋权法
英文关键词
:
microgrid
multi-objective optimization
bilevel optimization
grid method
digree of congestion
combinatorial weighting method
基金项目
:
Author Name
Affiliation
E-mail
Li Xuesong
*
Intelligent Electric Power Grid Key Laboratory of Sichuan Province (Sichuan University)
songerbuer@163.com
Teng Huan
Intelligent Electric Power Grid Key Laboratory of Sichuan Province (Sichuan University)
13308027191@163.com
Guo Ning
Intelligent Electric Power Grid Key Laboratory of Sichuan Province (Sichuan University)
879861360@qq.com
Liang Mengke
Intelligent Electric Power Grid Key Laboratory of Sichuan Province (Sichuan University)
1347289030@qq.com
Wu Zeqiong
Intelligent Electric Power Grid Key Laboratory of Sichuan Province (Sichuan University)
519129907@qq.com
Hits
:
1441
Download times
:
650
中文摘要
:
本文综合考虑微网经济成本、环保成本和系统运行风险程度,建立了多目标优化调度模型,并在迭代末期引入了双层优化,解决了传统优化模型容易漏选最佳解的问题。针对传统多目标粒子群算法的缺陷,提出了基于“栅格-拥挤度”协同筛选策略的多目标粒子群算法。当外部档案中粒子较少时,采用栅格法筛选出全局最优值,当外部档案中粒子较多时,改用拥挤度排序法,从而增强了解集的收敛性和多样性。在下层模型中,建立了基于相对熵组合赋权法的决策算法,综合了主/客观赋权法的优势,使最终结果更加合理。最后以一小型微网为例,验证了考虑双层优化的必要性和改进MOPSO的优越性。
英文摘要
:
View Full Text
View/Add Comment
Download reader
Close
Home
About Journal
Historical evolution
Journal Honors
Editorial Board
Members of Committee
Director of the Committee
President and Editor in chief
Submission Guide
Instructions for Authors
Manuscript Processing Flow
Model Text
Procedures for Submission
Academic Influence
Open Access
Ethics&Policies
Publication Ethics Statement
Peer Review Process
Academic Misconduct Identification and Treatment
Advertising and Marketing
Correction and Retraction
Conflict of Interest
Authorship & Copyright
Contact Us
中文页面