Coalitional game theory based local power exchange algorithm for networked microgrids
Name
Coalitional_Game_Theory_Based_Local_Power_Exchange.pdf
Description
Accepted version
Size
481.72 KB
Format
Adobe PDF
Checksum (MD5)
b6128959462e0f102618bba3a6d2b871
Author(s)
Mei, Jie
Chen, Chen
Wang, Jianhui
Kirtley, James L
Date Issued
2019
Journal
Applied Energy
Publisher
Elsevier BV
Version
Author's final manuscript
Abstract
© 2019 Elsevier Ltd The future distribution network may encompass a large number of microgrids, in which case local networked microgrids can be formed and all the microgrids in the network be connected to the main grid through a distribution sub-station. To improve the efficiency of the entire network rather than focusing on improving the efficiency and reliability of each microgrid, this paper proposes a coalitional-game-theory-based local power exchange algorithm to identify incentives for coalitional operation and help microgrids in the network trade power locally with neighboring microgrids, so as to meet their own power requirements while achieving higher expected individual utility. Compared with the traditional operation situation, simulation results show that the proposed coalitional- game-theory-based local power exchange algorithm can help increase individual microgrid utility in the network. When there are 30 microgrids in the network, for example, each microgrid is expected to have a 16% increment of individual utility on average.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.apenergy.2019.01.208
