(601c) Unit Commitment Operation of Energy Storage Systems: Comparison of Multi-Stage Stochastic Programming and Empc
Due to the uncertainty of consumer demand as well as that of renewable generation, the problem of optimal placement of these storage units within the grid along with the selection of equipment sizes must be formulated as a stochastic program. However, rather than being a fairly simple two-stage stochastic program, the dynamics imposed by the storage devices requires the formulation to be of the far more challenging multistage class. Previously, we have demonstrated that Economic Model Predictive Control (EMPC) can be used to approximate the scenario based multi-stage stochastic programming version of the economic dispatch problem. However, since operation of storage units is expected to be at a larger time scale, it is more appropriate to consider a Unit Commitment (UC) type framework. Within this framework the multi-stage, stochastic program will contain mixed integer variables, accentuating the need for a more computationally attractive operating policy. In this work, the head-to-head comparison between EMPC and the scenario based solution is extended to the UC framework in an effort to validate the adoption of more tractable EMPC-based methods for the optimal sizing and placement of storage units.