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author:

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

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EI Scopus

Abstract:

There are inevitable multiple uncertainties in multi-energy microgrid. In order to formulate a reasonable dispatching scheme under the uncertainties, this paper proposed an affine-model predictive control optimal dispatching method for multi-energy microgrid. Firstly, the uncertainties in multi-energy microgrid are represented by affine algorithm, and the interval expansion problem is solved by using the correlation between affine variables. Further, an affine optimal dispatching model of multi-energy microgrid is constructed to ensure the economy and decrease the conservatism of the dispatching scheme. Finally, the model predictive control method is used to update the predictive information, and the affine optimal dispatching model of multi-energy microgrid is solved by rolling. The simulation results show that the proposed method can ensure the economy and decrease the conservatism of the dispatching scheme. Under the premise of ensuring the economic operation of multi-energy microgrid, it can effectively deal with the impact of uncertainties and provide a reasonable optimal dispatching scheme. © 2023 IEEE.

Keyword:

Electric load dispatching Microgrids Model predictive control

Community:

  • [ 1 ] [Guo, Yixin]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 2 ] [Chen, Feixiong]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 3 ] [Cai, Mingjie]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

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Year: 2023

Page: 523-527

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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