RIES Low‐Carbon Economic Dispatch With Improved WSO Algorithm Considering Integrated Demand Response

ABSTRACT Aiming at the low carbon economic dispatch problem of the regional integrated energy system, a low carbon economic dispatch model combining integrated demand response and carbon capture and storage technology is proposed, and an improved great white shark optimization algorithm is used for...

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Vydáno v:Concurrency and computation Ročník 37; číslo 15-17
Hlavní autor: Li, Jiaqi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hoboken, USA John Wiley & Sons, Inc 25.07.2025
Témata:
carbon emissions
CCS
dispatch costs
integrated demand response
RIES
WSO
ISSN:1532-0626, 1532-0634
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Shrnutí:ABSTRACT Aiming at the low carbon economic dispatch problem of the regional integrated energy system, a low carbon economic dispatch model combining integrated demand response and carbon capture and storage technology is proposed, and an improved great white shark optimization algorithm is used for solving. Experimental results show that this method can significantly reduce the system dispatch cost. Compared with traditional methods, the total dispatch cost is reduced by 22.81% and 17.77%, respectively. Meanwhile, the utilization rates of wind energy and solar energy are improved, and the curtailment rates of wind power and solar power are reduced to 0% respectively. In addition, the improved great white shark optimization algorithm exhibits a faster convergence speed and higher solution accuracy during the solving process. Its solution time cost is reduced by 66.45% and 45.74% compared with the traditional great white shark optimization algorithm and the whale optimization algorithm respectively. This research provides a new strategy for achieving the low‐carbon economic operation of the regional integrated energy system and makes an important contribution to promoting the transformation of the energy structure and sustainable development.
Bibliografie:Funding
The author received no specific funding for this work.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.70139