TY - GEN
T1 - A Stackelberg Mean Field Game for Green Regulator with a Large Number of Prosumers
AU - Bichuch, Maxim
AU - Dayanikli, Gokce
AU - Lauriere, Mathieu
N1 - Publisher Copyright: © 2025 AACC.
PY - 2025
Y1 - 2025
N2 - We model a Stackelberg game in a power market with rational consumers and a benevolent regulator as a meanfield game. The Stackelberg leader, who is a government regulator, sets the grid distribution fees so as to maximize the total welfare of the consumers, while also ensuring the solvency of the electricity producers and while satisfying renewable production targets. The Stackelberg followers, who are rational prosumers of electricity, maximize their personal utilities by choosing their individual Photovoltaics investments that provides an alternative to buying electricity from the grid, and hence can also produce electricity. With the representative prosumer's demand evolving as an Ornstein-Uhlenbeck process, we find a closed form mean-field game approximation to prosumer's optimal strategy, and use that to calculate the optimal fees set by the regulator. Using these we numerically investigate and explain the influence of various market conditions on the optimal distribution fees.
AB - We model a Stackelberg game in a power market with rational consumers and a benevolent regulator as a meanfield game. The Stackelberg leader, who is a government regulator, sets the grid distribution fees so as to maximize the total welfare of the consumers, while also ensuring the solvency of the electricity producers and while satisfying renewable production targets. The Stackelberg followers, who are rational prosumers of electricity, maximize their personal utilities by choosing their individual Photovoltaics investments that provides an alternative to buying electricity from the grid, and hence can also produce electricity. With the representative prosumer's demand evolving as an Ornstein-Uhlenbeck process, we find a closed form mean-field game approximation to prosumer's optimal strategy, and use that to calculate the optimal fees set by the regulator. Using these we numerically investigate and explain the influence of various market conditions on the optimal distribution fees.
UR - https://www.scopus.com/pages/publications/105015776713
U2 - 10.23919/ACC63710.2025.11108013
DO - 10.23919/ACC63710.2025.11108013
M3 - Conference contribution
T3 - Proceedings of the American Control Conference
SP - 4129
EP - 4134
BT - 2025 American Control Conference, ACC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 American Control Conference, ACC 2025
Y2 - 8 July 2025 through 10 July 2025
ER -