Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[会议论文]

Optimal allocation of generalized power in energy internet based on time-sequence characteristics

Share
Edit Delete 报错

author:

Zhang, Huiyu (Zhang, Huiyu.) [1] | Huang, Daoshan (Huang, Daoshan.) [2] | Lin, Yan (Lin, Yan.) [3] | Unfold

Indexed by:

EI Scopus

Abstract:

In recent years, with the development of distributed generation(DG) technologies, a large number of DG are connected to the distribution network, however, the output of DG is intermittent and random. Considering the timing characteristics of DG and loads, this paper establishes a generalized power optimal configuration model of energy internet which takes power purchasing cost, investment cost, operation and maintenance cost, network loss cost, fuel cost and government subsidies comprehensive cost as the objective functions. The invasive weed optimization(IWO) based on cloud model is used to solve the model. The model and the algorithm proposed in this paper are simulated by IEEE 13 nodes to verify its validity. © 2018 IEEE.

Keyword:

Investments Random number generation

Community:

  • [ 1 ] [Zhang, Huiyu]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 2 ] [Huang, Daoshan]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 3 ] [Lin, Yan]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 4 ] [Lin, Fang]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 5 ] [Zhang, Yi]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 6 ] [Zhang, Xubin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 7 ] [Li, Weiming]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • 张逸

    [zhang, yi]college of electrical engineering and automation, fuzhou university, fuzhou, china

Show more details

Version:

Source :

Year: 2018

Page: 128-133

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

30 Days PV: 1

Online/Total:78/10134219
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1