Sector-Coupled Distribution Grid Analysis for Centralized and Decentralized Energy Optimization

In this work, different battery control strategies are modelled, simulated and applied for the optimal operation of a sector-coupled distribution grid. For the evaluation of the impact on the electrical grid, a Model Predictive Controller (MPC) is chosen as a predictive control algorithm which is compared to a typical non-predictive controller. The resulting line and transformer loading of a centralized and a decentralized MPC approach, as well as a non-predictive, heuristic controller method, are analyzed. The grid equations and technical limits are implemented in the centralized optimization. The minimization of the quadratic power exchange with the medium voltage grid is chosen as the objective function to achieve peak shaving. For the selected benchmark grids from the literature, it has been shown that the central MPC achieves the best performance with respect to avoiding grid overloads and the optimal usage of flexibilities.