Research on Collaborative Optimization Method of CCHP Regional Integrated Energy System Based on Improved Multivariate Universe Algorithm

Research on Collaborative Optimization Method of CCHP Regional Integrated Energy System Based on Improved Multivariate Universe Algorithm

Aiming to address the prevailing issue where Cold Heat and Power (CCHP)-type integrated energy systems are primarily optimized for either economy or environmental friendliness, this paper conducts an exhaustive synergistic optimization analysis of the CCHP system, focusing on the dual objectives of...

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Bibliographic Details
Main Authors: Dahai Xu, Changle Yu, Wenwen Li, Su Zhang, Zhengda Li, Zhihui Qu, Pengtao Li, Xingfan Han
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Improved multi-objective multiverse algorithm
combined cooling heating and power system
economy
carbon emissions
multi-objective collaborative optimization
Online Access:https://ieeexplore.ieee.org/document/10697166/
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https://ieeexplore.ieee.org/document/10697166/

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