TY - JOUR
T1 - A Stackelberg game approach for demand response management of multi-microgrids with overlapping sales areas
AU - Li, Jun
AU - Ma, Guangqing
AU - Li, Tao
AU - Chen, Wushun
AU - Gu, Yu
N1 - Publisher Copyright:
© 2019, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Microgrids are increasingly participating directly in the electricity market as sellers in order to fulfill the power demand in specific regions. In this study, we consider a demand response management model for multi-microgrids and multi-users, with overlapping sales areas. We construct a Stackelberg game model of microgrids and users, and then analyze the equilibrium strategies systematically. As such, we prove that there is a unique Stackelberg equilibrium solution for the game. In equilibrium, the electricity price strategies of the microgrids and the demand strategies of the users achieve a balance. Furthermore, we propose a numerical algorithm, supported by a simulation, to compute the equilibrium solution and give the proof of convergence.
AB - Microgrids are increasingly participating directly in the electricity market as sellers in order to fulfill the power demand in specific regions. In this study, we consider a demand response management model for multi-microgrids and multi-users, with overlapping sales areas. We construct a Stackelberg game model of microgrids and users, and then analyze the equilibrium strategies systematically. As such, we prove that there is a unique Stackelberg equilibrium solution for the game. In equilibrium, the electricity price strategies of the microgrids and the demand strategies of the users achieve a balance. Furthermore, we propose a numerical algorithm, supported by a simulation, to compute the equilibrium solution and give the proof of convergence.
KW - Stackelberg equilibrium
KW - demand response management
KW - electricity market
KW - game theory
KW - microgrid
KW - overlapping sales areas
UR - https://www.scopus.com/pages/publications/85073262275
U2 - 10.1007/s11432-018-9814-4
DO - 10.1007/s11432-018-9814-4
M3 - 文章
AN - SCOPUS:85073262275
SN - 1674-733X
VL - 62
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 11
M1 - 212203
ER -