• 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        
文章摘要
考虑需求响应的主动配电网孤岛划分
Islanding partition of active distribution network considering demand response
Received:January 31, 2018  Revised:February 07, 2018
DOI:
中文关键词: 孤岛划分  需求响应  用电方式满意度  需求响应成本
英文关键词: islanding partition, demand response, satisfaction in the process of utilizing electricity, cost of demand response
基金项目:江苏省六大人才高峰项目(ZNDW-005)
Author NameAffiliationE-mail
zhanglidi Nanjing Tech University Earthzld@163.com 
douxun* Nanjing Tech University dxsimile@163.com 
zhaowenhao Nanjing Tech University 1534336322@qq.com 
humingtao Nanjing Tech University hu542983759@qq.com 
Hits: 2036
Download times: 605
中文摘要:
      随着电力市场改革的推进和需求响应的推广,越来越多的用户积极主动地参与到电力市场中。然而传统孤岛划分多以供电量最大、网损最小等为目标,忽略了用户的主动参与。为此,本文考虑用户负荷的重要程度、可控性与不可控性以及需求响应情况,提出了考虑需求响应的孤岛划分多目标模型。该模型以供电恢复量、用户用电方式满意度最大以及需求响应成本最低为目标,采用NSGA-II算法求解,获得多目标pareto前沿解集。最后,选取三组解进行对比分析,结果表明,该方法可以扩大DG供电范围,增加孤岛内可供电用户数量,最大化分布式电源利用率,同时提高孤岛内用户总体满意度并优化需求响应成本。
英文摘要:
      With the advancement of electricity market reform and the promotion of demand response, more and more users are actively participating in the electricity market. However, the goal of the traditional islanding partition was the maximum power supply and the maximum network loss, ignoring the active participation of the users. Therefore, considering the importance, controllability and uncontrollability and demand response, a multi-objective model of islanding partition was proposed. The model was based on the maximum amount of power supply restoration, the maximum users’ satisfaction in the process of utilizing electricity and the maximum cost of demand response. NSGA-II algorithm was used to the model in order to obtain the multi-objective pareto frontier solutions. Finally, three groups of solutions for comparative analysis, results show that the method can expand the power supply range, increase the numbers of users in the island, maximize the utilization rate of distributed generation. Meanwhile, it can improve the users’ overall satisfaction and optimize the cost of demand response.
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
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd