Real-Time Pricing with uncertain and heterogeneous consumer preferences

摘要: Consumer demand profiles and fluctuating renewable power generation are two main sources of uncertainty in matching supply. This paper proposes a model the electricity market that captures uncertainties on both, operator user side. The system (SO) implements temporal linear pricing strategy depends real-time considered period combining Real-Time Pricing with Time-of-Use Pricing. announced sets up Bayesian game among users unknown, heterogeneous correlated consumption preferences. explicit characterization optimal selfish behavior using Nash equilibrium solution concept allows SO to derive policies influence serve practical objectives such as minimizing peak-to-average ratio or attaining desired rate return while at same time hedging uncertainty.