Work

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

Year: 2025

Type: article

Abstract: 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.

Source: Sustainable Energy Grids and Networks

DOI: 10.1016/j.segan.2025.102042

Authors: Christos L. Athanasiadis, A. Papadopoulos, Georgios C. Kryonidis, Dimitrios I. Doukas

Institutions: Democritus University of Thrace, Aristotle University of Thessaloniki

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Climate action, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $2,760