Multi-objective data-driven framework to support network operation via residential flexibility

This paper introduces a data-driven framework that harnesses residential flexibility to support distribution network operation and enhance end-user comfort. The proposed framework consists of three modules: (i) a forecasting module that predicts day-ahead flexible and non-flexible power profiles; (ii) a grid-aware coordination module that utilizes these forecasts to calculate residential operating envelopes, ensuring network security and preventing voltage violations; and (iii) a home energy management system that schedules the operation of flexible assets to optimize comfort, reduce energy costs and minimize emissions while respecting the operating envelopes. Numerical simulations conducted on the IEEE European low-voltage test feeder using real smart meter data demonstrate the effectiveness of the proposed framework. Additionally, its fully data-driven design offers a significant advantage in cases where the network configuration is not known.