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author:

Le, Shengtong (Le, Shengtong.) [1] | Zhang, Yachao (Zhang, Yachao.) [2] (Scholars:张亚超) | Zhu, Shu (Zhu, Shu.) [3] | Xie, Shiwei (Xie, Shiwei.) [4] (Scholars:谢仕炜)

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EI Scopus PKU CSCD

Abstract:

For the low carbon economic operation problem of power system,a collaborative optimization method for the configuration-operation of coal-fired power plants with carbon capture considering low-carbon demand response is proposed. The operation data of solvent-based carbon capture coal-fired power plants is collected on the gCCS platform,taking into account the strong coupling relationship between the power generation system and the post-combustion carbon capture system. The model parameters are identified by multiple linear regression method,and the corresponding steady-state mathematical model is constructed. The carbon emission flow theory is used to calculate the carbon emission cost on the load side,and the carbon quota is allocated according to the carbon emission intensity of generator units. And then a low-carbon demand response model is established. On this basis,the upper-level optimization model takes the lowest power plant configuration cost as the objective function to meet the capacity optimization allocation constraints. The lower-level optimization model with the goal of minimizing operating cost is established to meet the system operation constraints. The simulation analysis is implemented on the modified IEEE 24-bus system,by which the effectiveness of the proposed strategy is verified. © 2024 Electric Power Automation Equipment Press. All rights reserved.

Keyword:

Carbon capture Coal Coal combustion Coal fired power plant Coal fueled furnaces Electric loads Fossil fuel power plants Linear regression

Community:

  • [ 1 ] [Le, Shengtong]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zhang, Yachao]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Zhu, Shu]Electric Power Dispatching and Control Center of Hunan Electric Power Co.,Ltd., Changsha; 410004, China
  • [ 4 ] [Xie, Shiwei]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

Year: 2024

Issue: 7

Volume: 44

Page: 278-286

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: 5

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