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author:

Xu, Xun (Xu, Xun.) [1] | Shao, Zhenguo (Shao, Zhenguo.) [2] (Scholars:邵振国) | Chen, Feixiong (Chen, Feixiong.) [3] (Scholars:陈飞雄) | Li, Zhihuang (Li, Zhihuang.) [4]

Indexed by:

CPCI-S EI

Abstract:

The development of a regional integrated energy system makes demand response resources the means of dispatch. With demand response resources as the subject of the transaction, this paper considers the interaction between the system operator and load aggregator, and the uncertainty of renewable energy sources, thus establishing a bi-level optimization model considering wind power correlation scenarios and demand response, with the upper and lower levels aiming at maximizing the net profit of the system operator and the load aggregator, respectively. The bi-level model is converted to a single-level model by KKT condition and convexification, which is solved using the CPLEX commercial solver. The final simulation results verify the feasibility of the method.

Keyword:

Bi-level optimization demand response KKT condition regional integrated energy system

Community:

  • [ 1 ] [Xu, Xun]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 2 ] [Shao, Zhenguo]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 3 ] [Chen, Feixiong]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 4 ] [Li, Zhihuang]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 5 ] [Xu, Xun]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China
  • [ 6 ] [Shao, Zhenguo]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China
  • [ 7 ] [Chen, Feixiong]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China
  • [ 8 ] [Li, Zhihuang]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China

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Source :

2023 2ND ASIAN CONFERENCE ON FRONTIERS OF POWER AND ENERGY, ACFPE

Year: 2023

Page: 488-493

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: 3

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