Battery rollout on E.ON Hungaria’s distribution network
E.ON Hungaria has commissioned four battery facilities on its distribution network, adding 4 MW of power and 12 MWh of storage capacity. The projects are intended to manage expanding solar generation and short-term demand swings. The installations are located in Puspokszilagy, Erdokertes, Saregres and Devecser.
The facilities are operated through automated energy-management systems that monitor local network conditions. These systems determine when the batteries should charge or discharge based on grid requirements. This setup links battery operation to distribution-level conditions rather than only to generation-side signals.
Heatwave trials target evening peaks and grid support
During heatwaves in July and August, E.ON adjusted the operation of active units to release electricity during evening peaks. The trials showed the batteries can provide rapid reserve capacity alongside local voltage support. They also absorb surplus daytime solar output during periods when generation exceeds immediate demand.
The four installations can handle volumes comparable to the production of about 1,000 household solar systems or the daily consumption of roughly 2,000 homes. This scale reflects a distribution-network focus for balancing and operational flexibility.
Funding and role versus utility-scale storage
Investment totalled approximately €8.2 million, supported by the EU Modernisation Fund. The projects remain small compared with utility-scale storage developments elsewhere in the region. Their placement on the distribution network gives them a different function from larger transmission-connected assets.
The batteries can address local congestion and voltage problems before these constraints require more expensive conventional network reinforcement. For E.ON, the immediate benefit is operational experience, while for Hungary’s electricity system the larger test is whether distributed storage can expand quickly enough to keep pace with solar capacity changes affecting daily generation patterns.
