Pricing Electricity in Residential Communities Using Game-Theoretical Billings

By sharing common assets such as the power grid, prosumers are closely interrelated by their actions and interests. Game theory provides powerful tools for increased coordination among to optimize energy resources. However, depending on prosumer profiles market rules, individual bills may notably differ prove be unfair. In this work, we analyze outcomes of three relevant game-theoretical billing methods, which innovatively transposed day-ahead scheduling exchange within a liberalized residential community dominated distributed The first two approaches rely (static) daily scheme, while third considers multi-temporal (continuous) billing. Nash equilibria computed using algorithms, hence ensuring decision-making avoiding third-party dependencies. cost distributions assessed both qualitative quantitative comparison based various in modern smart grid. It is shown that, option, either contribution towards entity (i.e., ability improve global solution) or empowerment bargain) can preferentially incentivized.