TY - JOUR
DP - National Agricultural Library
DB - PubAg
JO - Applied energy
TI - Coalitional game theory based local power exchange algorithm for networked microgrids
A1 - Mei, Jie
A4 - Mei, Jie
A4 - Chen, Chen
A4 - Wang, Jianhui
A4 - Kirtley, James L.
EP - 2019 v.239
KW - algorithms
KW - game theory
KW - trade
AN - 6284938
AB - 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.
PY - 2019
LA -
DA - 2019-04-01
VL - v. 239
SP - pp. 133-141
DO - 10.1016/j.apenergy.2019.01.208
ER -