@inproceedings{c16db59dbdbb43f8ac38c9547c1283e8,
title = "Hierarchically distributed energy management for a smart energy multi-community system with multi-dimensional energy characteristics based on CP",
abstract = "This paper proposes a hierarchical energy management framework and distributed energy trading strategy to optimize power trading in a smart energy multi-community system with multi-dimensional energy characteristics. At the upper of this framework, a virtual cloud leader is introduced to predict the real-time price of the main grid and serves as the role of mapping the power schedule and price update of the local energy community to ensure the reliability of the system through redundancy. And at the bottom of the framework, each energy community alternately updates its power schedule and price with the proposed distributed energy trading strategy synchronizing with the upper virtual cloud leader. Simulation results in a typical 3-energy community system demonstrate that the framework and the strategy can optimize the power trading reasonably to ensure the minimum total operation cost of the system.",
keywords = "Convex optimization, Intelligent trading networking, Smart energy community, Strategic agents",
author = "Lei Luo and Jianwei Li and Hongwen He",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Power System Technology, POWERCON 2021 ; Conference date: 08-12-2021 Through 09-12-2021",
year = "2021",
doi = "10.1109/POWERCON53785.2021.9697879",
language = "English",
series = "Proceedings - 2021 International Conference on Power System Technology: Carbon Neutrality and New Type of Power System, POWERCON 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1404--1410",
booktitle = "Proceedings - 2021 International Conference on Power System Technology",
address = "United States",
}
