RT Conference Proceedings
T1 Neural Network Power Flow Approach to Detect Overload and Voltage Anomalies in Low-Voltage Unbalanced Networks, Agnostic of Network Topology
A1 González-Garrido, Amaia
A1 Rivera, Jon Ander
A1 Zaballa, Juan Florez
A1 Rodríguez-Seco, Jose Emilio
A1 Perea, Eugenio
AB The application of Power Flow (PF) algorithms at Low Voltage (LV) becomes essential, to ensure safe and cost-effective operation. Deterministic approaches do not appear suitable and scalable for LV networks, with a higher risk of non-convergence. The proposed Neural Network Power Flow model (NN-PF) provides accurate power loading, voltage magnitudes and angles in LV unbalanced network, based on nodal consumption and generation power, while being agnostic of the LV network model. Broader dataset is generated for training and testing purposes, including solar generation and undesired voltage events. Despite challenges posed by limited dataset size and the absence of the network topology and features, the NN-PF demonstrates robust performance and high accuracy to identify voltage anomalies and overloads in LV networks. The highest Mean Absolute Error (MAE) is 2e-4 p.u. (0.48 V), 4.6 kW active and 1.51 kVAr reactive power flow at extreme steady-state conditions (V < 0.95 p.u.).
PB IEEE Computer Society
SN 9798350381740
SN 2165-4077
YR 2024
FD 2024
LK https://hdl.handle.net/11556/4822
UL https://hdl.handle.net/11556/4822
LA eng
NO González-Garrido , A , Rivera , J A , Zaballa , J F , Rodríguez-Seco , J E & Perea , E 2024 , Neural Network Power Flow Approach to Detect Overload and Voltage Anomalies in Low-Voltage Unbalanced Networks, Agnostic of Network Topology . in 20th International Conference on the European Energy Market, EEM 2024 - Proceedings . International Conference on the European Energy Market, EEM , IEEE Computer Society , 20th International Conference on the European Energy Market, EEM 2024 , Istanbul , Turkey , 10/06/24 . https://doi.org/10.1109/EEM60825.2024.10608979
NO conference
NO Publisher Copyright: © 2024 IEEE.
DS TECNALIA Publications
RD 29 sept 2024