دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Dynamic Stepwise Carbon Trading Game Scheduling with Accounting and Demand-Side Response
المؤلفون: Zhong Ming, Yu Jingjing, Xiao Jun, Wang Jun
المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
بيانات النشر: Sciendo, 2024.
سنة النشر: 2024
المجموعة: LCC:Mathematics
مصطلحات موضوعية: cooperative game, shapley value method, objective function, carbon trading game scheduling, 97u30, Mathematics, QA1-939
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2444-8656
Relation: https://doaj.org/toc/2444-8656
DOI: 10.2478/amns-2024-0410
URL الوصول: https://doaj.org/article/80e7fd6695d44a8e822ad9025993667b
رقم الأكسشن: edsdoj.80e7fd6695d44a8e822ad9025993667b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24448656
DOI:10.2478/amns-2024-0410