Heat pumps allow for a direct integration of renewable electricity generation and offer operational flexibility due to the thermal storage systems they are connected to. The coordination of hundreds of such systems in the power system is a challenge for grid operators. This thesis proposes a scalable algorithm to coordinate the operation of multiple residential prosumers equipped with heat pump heating systems and photovoltaic plants in a distribution grid. A hierarchical distributed controller is designed based on methods from predictive control and distributed optimization. Simulation studies on voltage stability, valley-filling and community photovoltaic self-consumption demonstrate the effectiveness of the distributed control algorithm.
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