Flexibility Transformation Decision-Making Evaluation of Coal-Fired Thermal Power Units Deep Peak Shaving in China

Jianjun Wang, Jikun Huo, Shuo Zhang, Yun Teng, Li Li and Taoya Han
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Jianjun Wang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Jikun Huo: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Shuo Zhang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yun Teng: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Li Li: School of Economics and Management, Beijing Information Science & Technology University, Haidian district, Beijing 100192, China
Taoya Han: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Sustainability, 2021, vol. 13, issue 4, 1-15

Abstract: According to China’s economic green ecological sustainability development requirement, the energy reform of China is mainly increasing the proportion of renewable energy, and reducing the proportion of fossil energy. It will continue to force China’s thermal power units, especially coal-fired thermal power units, to carry out the flexibility transformation and upgrading of deep peak shaving ability. Due to the different characteristics of coal-fired thermal power units, it is necessary to make flexible transformation decisions by a scientific and reasonable decision-making evaluation method, so as to provide references for the one machine-one policy flexibility transformation of thermal power units. In this paper, a decision-making evaluation index system for the flexibility transformation of coal-fired thermal power units under the demand of deep peak shaving is established. The index system considers the impact of deep peak shaving on the boilers, steam turbines, and auxiliary equipment of coal-fired thermal power units, as well as the effects of the peak shaving. A hybrid evaluation method combined set-valued iteration and GRA-TOPSIS is employed to obtain the weight of the indexes. Finally, an empirical research was conducted based on the index system and the hybrid evaluation method and targeted “one machine, one policy” recommendations were put forward for the flexibility transformation of the coal-fired thermal power units.

Keywords: coal-fired thermal power unit; flexibility transformation; decision-making evaluation; GRA-TOPSIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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