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Modelling and Optimal Allocation of CCHP-Integrated-Energy-System Considering Low-Carbon and Economic Benefits: Methods and Vision
Li, Maodong1; Lao, Kengweng1; Lu, Wentao2
2024-09
Conference Name6th International Conference on Energy Systems and Electrical Power, ICESEP 2024
Source Publication2024 6th International Conference on Energy Systems and Electrical Power, ICESEP 2024
Pages452-456
Conference Date21-23 June 2024
Conference PlaceWuhan, China
CountryChina
PublisherInstitute of Electrical and Electronics Engineers Inc.
Abstract

Along with the development of smart energy, we take typical integrated energy systems (IES) into research considering various coupling modes and constraints, building a model of the IES for combined cooling, heating and power system, and propose the using of gas micro-turbine as a power supply. On this basis, the three dimension particle swarm optimization algorithm is applied to conduct operational and management research in one typical day, which provides a reference for the economic and low-carbon planning and operation of the IES, moreover demonstrates the superiority and effectiveness of the integrated energy systems compared to the traditional discrete energy systems. Furthermore, the paper gives the effective steps of allocation and optimization methods and vision of integrated energy systems.

KeywordEconomic Integrated Energy Systems(Ies) Low-carbon Three Dimensional Particle Swarm Optimization(3d-pso)
DOI10.1109/ICESEP62218.2024.10652224
URLView the original
Language英語English
Scopus ID2-s2.0-85204407360
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorLao, Kengweng
Affiliation1.University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electrical and Computer Engineering, Macao
2.School of Information Science and Technology, Fudan University, Shanghai, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Li, Maodong,Lao, Kengweng,Lu, Wentao. Modelling and Optimal Allocation of CCHP-Integrated-Energy-System Considering Low-Carbon and Economic Benefits: Methods and Vision[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 452-456.
APA Li, Maodong., Lao, Kengweng., & Lu, Wentao (2024). Modelling and Optimal Allocation of CCHP-Integrated-Energy-System Considering Low-Carbon and Economic Benefits: Methods and Vision. 2024 6th International Conference on Energy Systems and Electrical Power, ICESEP 2024, 452-456.
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