Optimal Storage Operation with Model Predictive Control in the German Transmission Grid
In this paper, a model predictive control approach is presented to optimize generator and storage operation in the German transmission grid over time spans of hours to several days. In each optimization, a full AC model with typical OPF constraints such as voltage or line capacity limits is used. With given RES and load profiles, inter-temporal constraints such as generator ramping and storage energy are included. Jacobian and Hessian matrices are provided to the solver to enable a fast problem formulation, but the computational bottleneck still lies in solving the linear Newton step. The deviation in storage operation when comparing the solution over the entire horizon of 96 h against the model predictive control is shown in the German transmission grid. The results show that horizons of around 24 h are sufficient with today’s storage capacity, but must be extended when increasing the latter.
KeywordsTime constrained optimal power flow OPF Storage Model predictive control Receding horizon Transmission grid
The authors kindly acknowledge the support for this work from the German Research Foundation (DFG) under the Project Number LE1432/14-1.
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