Maximise the value of renewable energy sources
Globally, the rapidly growing installed base of utility scale photovoltaic (PV) plants has led to the decreasing tariffs and incentive schemes offered. This has created profitability pressures in highly competitive business environment for the investors. Additionally, ever growing share of intermittent renewable power generation feeding electricity to the grid has created grid stability challenges for the utilities and further requirements for smooth grid integration and operation is demanded from the power plant owners.
The GEMS Power Plant Controller oversees and controls the Renewables+ storage hybrid plant functions. The solution is capable of dispatching or storing real power and absorbing or injecting reactive power in optimised ways via the GEMS platform.
The solution’s application list is complete and flexible for future changes in market structures and tariffs. Applications can be stacked (i.e., perform simultaneously), prioritised and scaled according to market and project requirements.
AC-coupled: Conventional PV and ESS inverter
DC-coupled: Conventional PV inverter + battery DC/DC converter
The integration of advanced energy storage and software with hydroelectric generation is seen to be one of the world’s first hybridised systems of its kind to provide ancillary services.Download Case Study
A new solution in the UK market: two 50 MW / 50MWh lithium-ion energy storage projects as part of Pivot Power’s development of grid-scale energy storage and rapid electric car charging network across the UK.Read More Download Case Study
The Wärtsilä Renewables+ solution is designed to maximise the value of renewable energy sources through the integration with energy storage systems.
The GEMS Power Plant Controller conducts intelligent power control and optimised energy management operations at power plants of all sizes.
In the race towards 100% renewable energy, islands will show us the way, and machine learning will play a key role. Learn more about how AI is supporting energy optimisation on island grids.