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

author:

Chen, Yuxin (Chen, Yuxin.) [1] | Jiang, Yuewen (Jiang, Yuewen.) [2] (Scholars:江岳文)

Indexed by:

EI PKU CSCD

Abstract:

The uncertainty of renewable energy output and load fluctuation increases the uncertainty of power system operation state, for which, a nonlinear optimization method of interval power flow scenario considering the correlation of interval variables is proposed. The correlation of interval variables is represented by constructing uncertain parallelogram area. Aiming at the problem of repeated calculation caused by scenario optimization method, the state variables with the same trend are classified and calculated by comparing the positive and negative sensitivity of node voltage to node power. The results of example analysis show that the proposed method can accurately calculate the interval boundary, effectively reduce the optimization times and improve the calculation efficiency. © 2022, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Electric load flow Nonlinear programming Renewable energy resources

Community:

  • [ 1 ] [Chen, Yuxin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Jiang, Yuewen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Jiang, Yuewen]Fujian Smart Electrical Engineering Technology Research Center, Fuzhou; 350108, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Source :

Electric Power Automation Equipment

ISSN: 1006-6047

CN: 32-1318/TM

Year: 2022

Issue: 3

Volume: 42

Page: 161-167

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:159/10039675
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