The mitigation of Climate Change and the associated decrease in the greenhouse gas
emissions originating from the building sector requires an increase of the installation rates
of heat pumps in Germany. One way to give the necessary incentives to achieve this would
be to reduce the heat pumps’ electricity consumption costs. With the aid of simulations,
this master’s thesis analyses the potential to conduct a more cost-efficient operation of a
heat pump pool. The scenario investigated comprises a centrally acting aggregator, which
is responsible for the operation of 284 heat pumps operating in Germany. In order to
reduce the electricity consumption costs, the aggregator conducts a Linear Programming-optimisation
each day and purchases the obtained optimised electricity consumption
trajectory on the EPEX day-ahead spot market. The optimisation problem is based
on a storage model and is constrained by the available flexibility of the heat pump pool.
The achieved optimised operation of the pool shows a characteristic load shifting pattern
which is similar to the ones presented in related research. Through the optimisation,
the pool’s electricity consumption is partly shifted to times having a lower electricity
price while accounting for the load shifting efficiency. In order to match the actual pool
operation with the one purchased, the aggregator uses a pool controller which influences
the individual heat pump operation by sending SG-Ready trigger signals. By using the
different trigger signals, the pool controller is able to operate the pool according to the
optimised trajectory. The achieved accuracy of trajectory shows an error in the relative
annual energy consumption of around 1 %.