| Title |
Deep Neural Networks based Power Flow Calculation in Distribution System Using Clustering |
| Authors |
이경영(Kyeong-Yeong Lee) ; 임세헌(Se-Heon Lim) ; 윤성국(Sung-Guk Yoon) |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.10.1139 |
| Keywords |
Active Distribution Network; Clustering; Deep Learning; Distribution System; Power Flow Calculation |
| Abstract |
In distribution systems, complexity and uncertainty have increased due to the integration of distributed energy resources. Fast and accurate power flow calculation is required to operate the distribution system stably. A deep learning-based power flow calculation method was proposed using distribution system data. To improve the performance of the deep learning method, we propose a clustering-based deep learning model. The proposed method uses voltage profiles to group similar buses. Simulation result using 33-bus and 69-bus models shows that the proposed model outperforms the plain deep learning model in terms of accuracy and robustness to uncertainties. |