Elia publishes a report on dynamic dimensioning of the balancing reserve needs


The report presents a new methodology developed by Elia to size the balancing reserves needs closer to real time based on day-ahead predicted system conditions (offshore and onshore wind power, solar photovoltaics, electricity demand, power plant schedules and transmission assets).

The cost and benefits of different advances statistical methods, including machine learning techniques, have been investigated and an implementation plan is presented based on the results. This future proof approach will contribute to the cost-efficient integration of renewable energy and will on the same time increase the system reliability.