The Adaptive Control of Energy Storage (ACES) project plans to develop and invest in energy storage and associated equipment for measurement, monitoring and control, and develop and test adaptive optimisation algorithms for battery energy storage control, based on pattern recognition technology. By analysing load profiles, power quality, battery health status and market prices as well as using forecasts and trend analysis, this project aims develop better optimisation algorithms for the usage of battery storage on suitable locations in the power grid with actual challenges of intermittent power generation and new loads. The goal of this project is to significantly improve the conditions for investing in energy storage. By applying new business models and methods such as adaptive management and optimized operations, there is greater opportunity to create benefits and profitability. Thereby, ACES intends to contribute to an affordable renewable energy transition.
Project leader: David Westerlund
Institution: EMBRIQ AS