Game theoretic model predictive control for distributed energy demand-side management
Distributed energy generation and storage are widely investigated demand-side management (DSM) technologies that are scalable and integrable with contemporary smart grid systems. However, prior research has mainly focused on day-ahead optimization for these distributed energy resources while neglecting forecasting errors and their often detrimental consequences. We propose a novel game theoretic model predictive control (MPC) approach for DSM that can adapt to real-time data. The MPC-based...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Smart Grid|
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