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author:

Wu, Jiang (Wu, Jiang.) [1] | Wang, Jingjing (Wang, Jingjing.) [2] | Zhang, Qiang (Zhang, Qiang.) [3] | Zhang, Yachao (Zhang, Yachao.) [4] (Scholars:张亚超)

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EI PKU CSCD

Abstract:

In view of the shortcomings of traditional stochastic programming and interval optimization methods for handling wind power uncertainty, a two-stage robust cooperative scheduling model for the electricity-gas integrated energy system with PtG facilities is proposed, and the influence of natural gas network operation constraints on the scheduling power output and reserve capacity configuration by gas-fired units and PtG facilities is considered. The sum of the day-ahead dispatch cost under wind power benchmark scenario and the real-time dispatch cost under the worst wind power scenario is regarded as the objective function, and a bi-level optimization model with max-min structure is established. Then the solution is obtained by using the column-and-constraint generation method through the master-sub problem solving framework. Finally, a simulation example is built on Mathlab platform to verify the effectiveness of the proposed two-stage robust cooperative scheduling model. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.

Keyword:

Electric load dispatching Gases Natural gas Proven reserves Scheduling Stochastic models Stochastic programming Stochastic systems Wind power

Community:

  • [ 1 ] [Wu, Jiang]Chongqing Fuling Electric Power Industry Co., Ltd., Chongqing; 408000, China
  • [ 2 ] [Wang, Jingjing]Chongqing Fuling Electric Power Industry Co., Ltd., Chongqing; 408000, China
  • [ 3 ] [Zhang, Qiang]Chongqing Fuling Electric Power Industry Co., Ltd., Chongqing; 408000, China
  • [ 4 ] [Zhang, Yachao]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

Acta Energiae Solaris Sinica

ISSN: 0254-0096

CN: 11-2082/TK

Year: 2022

Issue: 2

Volume: 43

Page: 436-443

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 18

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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