Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

February 26, 2024


Pages


DOI

Article

Dynamic Stepwise Carbon Trading Game Scheduling with Accounting and Demand-Side Response

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Authors

Ming Zhong Affiliation:
Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China.
, Jingjing Yu Affiliation:
Jiangxi Environmental Engineering Vocational College, Ganzhou, Jangxi, 341000, China.
, Jun Xiao Affiliation:
Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China.
and Jun Wang Affiliation:
Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China.


Abstract

With the help of cooperative game theory, this study constructs an integrated demand response economic game scheduling model for carbon trading, aiming to maximize collective and individual benefits. The model effectively reduces the system operating cost by adjusting the electricity price to incentivize PDR-VGU output. The impacts of price demand and integrated flexible operation demand on the coordination degree of carbon trading and the optimized dispatch results under different scenarios are analyzed in depth. It is found that when considering the carbon trading mechanism, the system operating cost and carbon emissions are reduced by RMB 2,129 and 9.63 tons, and RMB 2,350 and 11.96 tons, respectively, showing a win-win situation in terms of economy and environmental protection. In addition, the energy time-shift strategy implemented in the carbon capture power plant system effectively balances the peak-to-valley difference of thermal power output, further reducing the cost.


Keywords

Cooperative game, Shapley value method, Objective function, Carbon trading game scheduling, 97U30


Citation

Zhong, M., Yu, J., Xiao, J., & Wang, J. (2024). Dynamic stepwise carbon trading game scheduling with accounting and demand-side response. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0410

Published by: Engineering Journals

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