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This article introduces a modified simulated annealing optimization approachfor automatically determining optimal energy management strategies ingrid-connected, storage-augmented, photovoltaics-supplied prosumer buildingsand neighbourhoods based on user-specific goals. For evaluating the modifiedsimulated annealing optimizer, a number of test scenarios in the field ofenergy self-consumption maximization are defined and results are compared to agradient descent and a total state space search approach. The benchmarkingagainst these two reference methods demonstrates that the modified simulatedannealing approach is able to find significantly better solutions than thegradient descent algorithm - being equal or very close to the global optimum -with significantly less computational effort and processing time than the totalstate space search approach.

Energy Management in Storage-Augmented, Grid-Connected Prosumer Buildings and Neighbourhoods Using a Modified Simulated Annealing Optimization