Entwicklung eines digitalen Wärmepumpenmodells zur Analyse des Anlagenverhaltens in einem intelligenten Netzengpassmanagement

Due to the currently discussed transition to a renewable heat supply, an increase in heat pumps for the generation of space heating and domestic hot water is expected within the distribution grids in the future. This is forcing the distribution grids to the limits of their capacity and solutions are needed to increase the number of heat pumps in the distribution grids without the need of grid expansion. One approach would be to use an intelligent grid congestion management system to take advantage of the grid-serving flexibility of heat pumps.

This article presents a detailed system model for the mathematical description of individualized heat pump systems for generating space heating and domestic hot water in residential buildings.

Based on this system model, the determination of flexibility of heat pumps and the implementation of control commands for the integration into an intelligent grid congestion management system are described. The decisive boundary condition for determining and utilizing the flexibility of heat pumps is the prevention of comfort losses for the consumer.

This article, with the described model, investigates whether the use of heat pumps as a flexibility option in an intelligent grid congestion management system that can increase the

number of heat pumps that can be integrated into a distribution grid. At the same time it was examined if heat pumps as a flexibility option and an intelligent grid congestion management systems together cause a loss of comfort for the consumer.

As the investigations in this article shows, more heat pumps can be integrated into a distribution grid with an intelligent grid congestion management system. This is because of the fact that heat pumps have a high load shifting potential, that can be used to solve grid congestions intelligently and without loss of comfort, even when the number of heat pumps in the distribution grid increases.