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author:

Chen, F. (Chen, F..) [1] (Scholars:陈飞雄) | Guo, Y. (Guo, Y..) [2] | Shao, Z. (Shao, Z..) [3] (Scholars:邵振国) | Zheng, X. (Zheng, X..) [4] | Hu, K. (Hu, K..) [5] | Lin, W. (Lin, W..) [6]

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Abstract:

To account for the impact of renewable energy output correlation on the operation of multi-energy microgrids and respond to the real-time changes of source and load, an affine real-time optimal dispatching method for multi-energy microgrids with renewable energy output correlation is proposed. Firstly, the Kalina cycle is introduced into the multi-energy microgrid to achieve a flexible economic output of the combined heat and power unit. Secondly, considering the uncertainty of source and load and the correlation of wind power and photovoltaic output on the operation of the multi-energy microgrid, an affine optimization model of the multi-energy microgrid with wind power and photovoltaic output correlation is constructed and solved. Thirdly, based on obtaining the variation range of the optimal scheme, the values of each affine noise symbol are calculated in real-time, thus obtaining the real-time dispatching trajectory of the multi-energy microgrid. Finally, the simulation results verify that the proposed method can fully account for the dual effects of uncertainty and correlation, effectively deal with the real-time changes of source and load, and improve the system's operation economy. © 2024 Power System Technology Press. All rights reserved.

Keyword:

affine optimization multi-energy microgrid real-time dispatching renewable energy output correlation source and load uncertainty

Community:

  • [ 1 ] [Chen F.]Key Laboratory of Energy Digitalization (Fuzhou University), Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 2 ] [Guo Y.]Key Laboratory of Energy Digitalization (Fuzhou University), Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Shao Z.]Key Laboratory of Energy Digitalization (Fuzhou University), Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 4 ] [Zheng X.]Key Laboratory of Energy Digitalization (Fuzhou University), Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 5 ] [Hu K.]Key Laboratory of Energy Digitalization (Fuzhou University), Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 6 ] [Lin W.]Marketing Service Center of State Grid Fujian Electric Power Co., Ltd., Fujian Province, Fuzhou, 350011, China

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电网技术

ISSN: 1000-3673

Year: 2024

Issue: 8

Volume: 48

Page: 3248-3257

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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