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

author:

Zhang, H. (Zhang, H..) [1] | Huang, D. (Huang, D..) [2] | Lin, Y. (Lin, Y..) [3] | Lin, F. (Lin, F..) [4] | Zhang, Y. (Zhang, Y..) [5] | Zhang, X. (Zhang, X..) [6] | Li, W. (Li, W..) [7]

Indexed by:

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:

Energy internet; Generalized power; Invasive weed algorithm; Optimal allocation; Time-sequence characteristics

Community:

  • [ 1 ] [Zhang, H.]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 2 ] [Huang, D.]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 3 ] [Lin, Y.]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 4 ] [Lin, F.]State Grid Fujian Electric Power Research Institute, Fuzhou, China
  • [ 5 ] [Zhang, Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 6 ] [Zhang, X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 7 ] [Li, W.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Zhang, Y.]College of Electrical Engineering and Automation, Fuzhou UniversityChina

Show more details

Related Keywords:

Related Article:

Source :

Proceedings - 2nd IEEE International Conference on Energy Internet, ICEI 2018

Year: 2018

Page: 128-133

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

Affiliated Colleges:

Online/Total:48/10135617
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