Intelligent convergence and lean energy management methods and systems for multiple devices based on park microgrids

Abstract Aiming at the energy management problems of park microgrids, this paper proposes a methodology and system framework based on the concepts of in-depth wisdom integration and lean management, aiming at improving the operational efficiency and economy of park microgrids. In this paper, we firs...

Full description

Saved in:
Bibliographic Details
Main Authors: Hongmin Chen, Dun Hu, Qi Lv, Peng Fu, Haojie Lv
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Internet of Things
Subjects:
Online Access:https://doi.org/10.1007/s43926-025-00189-3
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Aiming at the energy management problems of park microgrids, this paper proposes a methodology and system framework based on the concepts of in-depth wisdom integration and lean management, aiming at improving the operational efficiency and economy of park microgrids. In this paper, we firstly constructed a smart integration and lean energy management system for multiple devices of microgrids in parks covering the four dimensions of “source-network-load-storage”, and then designed the microbalance market trading rules, internal and external two-tier power purchasing and selling strategies, the implementation of auxiliary services between different microgrids, the internal and external demand-side response strategies, and the standby capacity allocation mechanism, and finally carried out the simulation through practical cases. Finally, the feasibility and superior performance of this paper’s method and system are demonstrated through simulation verification and rigorous analysis of actual cases. The results show that the method and system in this paper can realize the operation goals of cost-effective, low-carbon, stable, reliable and sustainable microgrids in parks, and provide theoretical and practical support for the development of energy Internet.
ISSN:2730-7239