Using Model Predictive Control to Interact Distributed Power Markets and Grids

In our previous work, a real-time market-grid-coupling is proposed for interconnecting the physical grid and the economic market in a decoupled control loop. In this paper, we extend our feedback control framework with a distributed model predictive control approach for coupling distributed power markets and grids, in order to investigate the mutual influence between them with respect to both price and supply-demand-balance stability. The main contribution of the paper focuses on the mathematical model of a distributed feedback control system for an interoperable control between distributed market and grid units. The controller objective refers to a concurrent market price and power dispatch stabilization through maximizing the total social welfare. Finally, we demonstrate simulation-based numerical results to show the capability of proposed collaborative model predictive control feedback loops towards the impact of an optimal dynamic dispatch on the market price stability.