Navigation

Control of energy systems based on self-learning algorithms

Reinforcement Learning control algorithm for a PV-Battery system
Reinforcement Learning control algorithm for a PV-Battery system

Project Description

The worldwide expansion of decentralized generation units, such as photovoltaic systems and wind power plants, means that the generation of electrical energy depends on the fluctuating supply of renewable energy sources. In the project "Control of energy systems based on self-learning algorithms", new self-learning control algorithms for energy systems are investigated and compared with classical control algorithms. Models written in Python will make it possible to create several self-learning agents and simulate them in a common environment.

It is also planned to model further components such as electric charging stations in order to take into account the influence of electromobility on the power system.

Project Period

    2017-05-16 –

Project Leaders

Project Members

Related Publications