@inproceedings{73826a2969754bff8899f01c27fe6531,
title = "An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems",
abstract = "Multi-energy systems (MESs) whereby various energy carriers are coordinated at various levels have definite improvements over traditional separate energy systems economically and environmentally. Concentrations on economic dispatch (ED) problem in MESs are increasing to achieve more efficient performance. However, most existing methods use a centralized framework which suffers from large cost of long-distance communications and low robustness in large-scale systems. This paper studies the ED problem in MESs with energy storages in a distributed manner, where local agents cooperate to minimize the overall generation cost based on information from neighboring agents only. By handling the non-convexity incurred by the coupling among different energy carriers and energy storages, a distributed algorithm based on ADMM and dynamic consensus mechanism is proposed. The effectiveness of the proposed algorithm are verified through a set of case studies.",
keywords = "ADMM, distributed algorithm, economic dispatch, Multi-energy systems",
author = "Zhibin Wang and Shanying Zhu and Tie DIng and Tao DIng and Fangxing Li",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 ; Conference date: 26-07-2021 Through 29-07-2021",
year = "2021",
doi = "10.1109/PESGM46819.2021.9637918",
language = "英语",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2021 IEEE Power and Energy Society General Meeting, PESGM 2021",
}
