Multi-objective optimization of regional integrated energy system matrix modeling considering exergy analysis and user satisfaction-Reference-Cited by-同舟云学术

Multi-objective optimization of regional integrated energy system matrix modeling considering exergy analysis and user satisfaction

Published:2024-02 Issue: Volume:156 Page:109765
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Li Jiyong,Yang Siqi^ORCID,Zhou Xiaosong,Li Jiongchang^ORCID

Publisher

Elsevier BV

Reference12 articles.

1. Review on planning of Regional integrated energy systems[J];Cheng;Automation of Electric Power Systems,2019

2. Standardized matrix modeling of multiple energy systems.[J];Wang;IEEE Trans Smart Grid,2019

3. The value of flexible load in power systems with high renewable energy penetration[J];Hungerford;Energy,2019

4. The “source -load” low-carbon economic dispatch based on cooperative game under the “double carbon” goal[J];Feng;Electrical Measurement & Instrumentation,2022

5. A hierarchical scheduling method of active distribution network considering flexible loads in office buildings[J];Zening Li;Int J Electr Power Energy Syst,2021

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