Integrated energy system for low-carbon economic operation optimization: Pareto compromise programming and master-slave game-Reference-Cited by-同舟云学术

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Integrated energy system for low-carbon economic operation optimization: Pareto compromise programming and master-slave game

Published:2024-02 Issue: Volume:222 Page:119946
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Li Ling-Ling,Miao Yan^ORCID,Lim Ming K.^ORCID,Sethanan Kanchana^ORCID,Tseng Ming-Lang^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference43 articles.

1. Review on district-level integrated energy system planning considering interconnection and interaction;Lyu;Proc. Chin. Soc. Electr. Eng.,2021

2. Active distribution network operational optimization problem: a multi-objective tuna swarm optimization model;Li;Appl. Soft Comput.,2023

3. Multi-objective distributed generation hierarchical optimal planning in distribution network: improved beluga whale optimization algorithm;Li;Expert Syst. Appl.,2024

4. A Bi-level Gaming Programming for Regional Integrated Energy System Considering the Users? Reliability Incentive;Chen,2023

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