Open AccessTwo‐stage game framework for energy management in islanded multi‐microgrid system
Author(s) -
Lei Chen,
Yugang Niu
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2020.0635
Subject(s) - microgrid , economic shortage , profit (economics) , energy management system , computer science , game theory , distributed generation , power (physics) , electric power system , voltage , photovoltaic system , mathematical optimization , energy management , control theory (sociology) , energy (signal processing) , control engineering , renewable energy , engineering , microeconomics , control (management) , economics , electrical engineering , mathematics , artificial intelligence , philosophy , government (linguistics) , linguistics , quantum mechanics , statistics , physics
A multi‐microgrid system is composed of multiple low‐voltage microgrids and the distributed energy connected to adjacent feeders. Considering the uncertainty factors, this study presents a two‐stage game framework to achieve energy management in the daily operation of islanded multi‐microgrids. In the upper stage, the power surplus and power shortage conditions of microgrids are analysed and the corresponding profit models are established. Then, during this cooperative game, each microgrid maximises its own profits through transactions and achieves a win–win situation by changing the number of coalition members. In the lower stage, the uncertainty models of both the photovoltaic power generation and the controllable load are constructed to achieve the maximum match between the power generation and the load curve. Finally, it is shown via a practical example that the proposed method can effectively promote the total profit of the islanded multi‐microgrid system.