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

author:

Zheng, Xianghao (Zheng, Xianghao.) [1] | Chen, Feixiong (Chen, Feixiong.) [2] (Scholars:陈飞雄) | Guo, Yixin (Guo, Yixin.) [3] | Wang, Jianming (Wang, Jianming.) [4] | Jiang, Chunlin (Jiang, Chunlin.) [5] | Shao, Zhenguo (Shao, Zhenguo.) [6] (Scholars:邵振国)

Indexed by:

EI Scopus

Abstract:

As wind power develops by leaps and bounds, its uncertainty has posed huge challenges for operational planning for integrated electricity-gas system (IEGS). An approach based on affine arithmetic (AA) for optimal power-gas flow (OPGF) considering uncertainty of wind power is proposed. Based on convex envelope, AA-based OPGF model is developed without non-affine operations. Uncertain wind power is treated by affine form keeping track of relationships between uncertain variables. By introducing AA theory, AA-based OPGF model can be converted into deterministic multi-objective problem. Then a tightening convex envelope algorithm is employed to enhance solution feasibility of AA-based OPGF. Numerical results demonstrate the effectiveness of the proposed AA-based method compared with Monte Carlo method. In addition, the transmission tracks of uncertain factors are also revealed. © 2023 IEEE.

Keyword:

Convex optimization Electric power transmission Flow of gases Gases Monte Carlo methods Numerical methods Wind power

Community:

  • [ 1 ] [Zheng, Xianghao]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 2 ] [Chen, Feixiong]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 3 ] [Guo, Yixin]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 4 ] [Wang, Jianming]Fuzhou Wanshan Electric Power Consulting Co., Ltd., Fuzhou, China
  • [ 5 ] [Jiang, Chunlin]Fuzhou Wanshan Electric Power Consulting Co., Ltd., Fuzhou, China
  • [ 6 ] [Shao, Zhenguo]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China

Reprint 's Address:

Email:

Show more details

Version:

Related Keywords:

Source :

Year: 2023

Page: 533-537

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

Online/Total:246/10044167
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