Surrogate Models for Coupled Microgrids
We consider the operation of coupled microgrids. Each microgrid consists of a number of residential energy systems, each including an energy storage device. The goal is to determine an optimal energy exchange between the microgrids, which results in a two-level optimization problem. On the lower level, within each microgrid, a grid operator sets up an optimization scheme to coordinate the individual subsystems. We propose a surrogate model based on radial basis functions to approximate this optimization based process and investigate its applicability in the higher level by conducting a case study based on an Australian data set.
The authors are indebted to the German Research Foundation (DFG; grants WO 2056/4-1 and WO 2056/6-1) and the Federal Ministry for Education and Research (project KONSENS of the program Mathematics for Innovations as a contribution to the energy transition).
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