.png){kind=icon}
.png){kind=icon}
Return
Multi-objective data-driven framework to support network operation via residential flexibility
.png){kind=icon}
OA
AI
DOI：10.1016/j.segan.2025.102042.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 CO2 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 unknown.
Keywords:
Data-driven
Home energy management system
Non-intrusive load monitoring
Operating envelopes
Residential flexibility
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
S
IF:
0
Papers:
210
Citations:
0
Organization
View more organizations