A comprehensive review on distributed energy cooperative control and optimization method for energy interconnection system DOI
Jianbin Xiong,

Ying Ye,

Qi Wang

и другие.

Electric Power Systems Research, Год журнала: 2024, Номер 237, С. 111007 - 111007

Опубликована: Авг. 31, 2024

Язык: Английский

Towards Pareto-optimal energy management in integrated energy systems: A multi-agent and multi-objective deep reinforcement learning approach DOI Creative Commons
Jiaming Dou, Xiaojun Wang, Zhao Liu

и другие.

International Journal of Electrical Power & Energy Systems, Год журнала: 2024, Номер 159, С. 110022 - 110022

Опубликована: Май 27, 2024

Deep Reinforcement Learning (DRL) is effective in solving complex, non-linear optimization problems, which particularly relevant energy management within Integrated Energy Systems (IESs). However, DRL approaches conventionally focus on single-objective policy learning, inadequate for the multi-objective tasks commonly encountered IESs management. To improve this, these typically combine multi-objectives, such as operating cost objective and safety into a single reward function using scalarization techniques. This reduces fidelity interpretability of space limits its applicability to wide range address challenges, this paper presents novel framework called Multi-Agent Multi-Objective (MAMODRL). combines value decomposition gradient methods achieve Pareto-optimal solution. The initially formulated Markov decision process. Then, an advanced MAMODRL architecture developed, includes networks facilitate optimization. Finally, based definition dominance, Pareto frontier approximated A case study suggests that proposed approach ensure safe operation system, threshold set at forming with conditions. Compared traditional approaches, more flexible, interpretable, capable making multi-dimensional decisions.

Язык: Английский

Процитировано

4

Energy exchange optimization among multiple geolocated microgrids: A coalition formation approach for cost reduction DOI

Cláudio A.C. Cambambi,

Luciane Neves Canha, Maurício Sperandio

и другие.

Applied Energy, Год журнала: 2024, Номер 379, С. 124902 - 124902

Опубликована: Ноя. 22, 2024

Язык: Английский

Процитировано

4

Multi-agent reinforcement learning for energy management in microgrids with shared hydrogen storage DOI
David Toquica, Kodjo Agbossou, Nilson Henao

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Multimodal multi-objective hierarchical distributed consensus method for multimodal multi-objective economic dispatch of hierarchical distributed power systems DOI
Linfei Yin, Zhenjian Cai

Energy, Год журнала: 2024, Номер 295, С. 130996 - 130996

Опубликована: Март 16, 2024

Язык: Английский

Процитировано

3

A comprehensive review on distributed energy cooperative control and optimization method for energy interconnection system DOI
Jianbin Xiong,

Ying Ye,

Qi Wang

и другие.

Electric Power Systems Research, Год журнала: 2024, Номер 237, С. 111007 - 111007

Опубликована: Авг. 31, 2024

Язык: Английский

Процитировано

3