INDUSTRIAL FLEXIBILITY FOR REDISPATCH PROVISION - AN OPTIMIZATION-BASED APPROACH FOR BID GENERATION

The industry as a flexibility provider will play a more important role in future energy systems, e.g. for redispatch provision. This work proposes a method to derive industrial flexibility as bids for a redispatch clearing process using Mixed Integer Linear Programming. The presented approach is applied to determine the flexibility potential of a baking factory by shifting the cleaning hours of each
of their production lines, which leads to a temporary decrease in electricity consumption. Firstly, we formulate an optimization problem for the optimal cleaning period of each line, considering operational constraints, such as working hours, and minimum time between cleaning of the same production line. Secondly, we derive possible bids that can be offered to system operators for the redispatch process. Each bid corresponds to a shift in the planned cleaning hours. We compare a reference use case without flexibility with two further use cases, which differ in terms of operational constraints and electricity price assumptions. The results show that smaller industrial plants can offer
flexibility by shifting demands. However, the overall impact on industrial energy savings might be very small depending on the actual production scheme and energy supply system.