Optimizing robust credibility location decision of co-firing power plants considering carbon emission reduction

doi:10.3969/j.issn.1000-1565.2024.04.003

Abstract

Abstract: Based on the strategic goal of carbon peak and carbon neutrality, this paper studies the decision-making problem of co-firing power plant location considering carbon emission reduction. Due to the influence of weather conditions, market environments and other external factors, the parameters such as biomass supply capacity and biomass price are uncertain. To address this problem, this paper constructs an ambiguity set of possibility distributions to characterize the uncertain parameters, and then proposes a distributionally robust credibility location optimization model. The original model is reformulated as a computable mixed-integer linear programming model by deriving the equivalent forms of robust credibility objective and robust credibility constraint. Finally, the effectiveness of the proposed method is demonstrated by an example.

Key words: co-firing power plant location, carbon emission reduction, an ambiguity set of possibility distributions, distributionally robust credibility optimization

CLC Number:

T818

CHEN Aixia,CHEN Airu, LIANG Zhiyong. Optimizing robust credibility location decision of co-firing power plants considering carbon emission reduction[J]. Journal of Hebei University(Natural Science Edition), 2024, 44(4): 355-364.

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