<span style="">Low Carbon Economic Dispatch of IES Considering Flexibility and Multi-Entity Participation</span> <br />

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Low Carbon Economic Dispatch of IES Considering Flexibility and Multi-Entity Participation

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[1]WANG Jinfeng,ZHANG Zhaoyuan,ZHANG Yuhui,et al.Low Carbon Economic Dispatch of IES Considering Flexibility and Multi-Entity Participation [J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-10.[doi:10.13705/j.Issn.1671-6833.2026.06.007]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 48 Number of periods: 2027 XX Page number: 1-10 Column: Public date: 2027-12-10

Title:: Low Carbon Economic Dispatch of IES Considering Flexibility and Multi-Entity Participation

Author(s):: WANG Jinfeng¹, ZHANG Zhaoyuan¹, ZHANG Yuhui¹, WANG Yaobin¹, SHEN Senlin², RONG Jiapeng²; 1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. State Grid Jiaozuo Electric Power Supply Company, Jiaozuo 454002, China

Keywords:: integrated energy system (IES); flexibility; multi-entity; green certificate - carbon trading; economic dispatch

CLC:: TM73；TK01

DOI:: 10.13705/j.Issn.1671-6833.2026.06.007

Abstract:: To address the significant challenges posed by high-proportion renewable energy integration and multi-energy load coupling to system scheduling, this study investigated the scheduling problem of an integrated energy system (IES) involving system operators, user aggregators, electric vehicles, and other participants. First, the flexibility demand and supply resources in the IES were analyzed, and flexibility indicators were quantified. Subsequently, a multi-objective bi-level optimization model considering flexibility and multi-entity participation was established for the IES’s low-carbon economic dispatch. The upper-level model considered the IES operator’s revenue and system flexibility, incorporating a green certificate-carbon trading mechanism, while the lower-level model accounted for user aggregator costs and electric vehicle self-benefits, with interactions between the two levels through energy prices and purchase quantities. Finally, an improved PSO algorithm was employed to solve the proposed upper-level model, and CPLEX software was used for the lower-level model. The case study results demonstrated that the proposed model balanced system economy and flexibility compared to the traditional single-objective economic dispatch. Compared with only considering the benefits of operators, the proposed model can balance the interests of multiple parties. Additionally, c ompared to the traditional PSO algorithm, the improved PSO algorithm reduced the number of iterations at convergence by 52.94%, improved the closeness of the obtained optimal solution to the ideal solution by 10.13%, and had better convergence and optimization performance.

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Last Update: 2026-06-29