Optimized Power Flow Control using ANN-based UPFC Technique

In this study, the use of Artificial Neural Networks (ANNs) was investigated in order to improve system performance and minimize prediction errors in power flow analysis. The usage of a Unified Power Flow Controller (UPFC) in conjunction with ANNs was examined in order to increase system performance and error reduction. Although integrating UPFC with ANNs takes more time for power stabilization, we have seen improved results in terms of accuracy proportional to prediction error. Our results show that combining UPFC with ANN can give a superior solution for power flow analysis in power systems.