C.T. ChangYUAN-YIH HSU2018-09-102018-09-102003-0103787796http://scholars.lib.ntu.edu.tw/handle/123456789/304026https://www.scopus.com/inward/record.uri?eid=2-s2.0-0038787987&doi=10.1016%2fS0378-7796%2803%2900045-2&partnerID=40&md5=62a31641c60450cea7f8781bc159e223A supplementary damping controller for a unified power flow controller (UPFC) is designed for power system dynamic performance enhancement. To maintain a good damping characteristic over a wide range of operating conditions, the gains of the UPFC supplementary damping controller are adapted in real time, based on online measured transmission line loadings (active and reactive power flows). To speed up the online gain adaptation process, an artificial neural network is designed. A major feature for the proposed adaptive UPFC supplementary damping controller is that only physically measurable variables (active and reactive power flows over the transmission line) are employed as inputs to the adaptive controller. To demonstrate the effectiveness of the proposed adaptive UPFC supplementary damping controller, computer simulations are performed on a power system subject to a three-phase fault. It is concluded from the simulation results that the proposed adaptive UPFC supplementary damping controller can yield satisfactory dynamic responses over a wide range conditions. The electromechanical mode with an oscillation frequency around 0.78 Hz has been effectively damped by the proposed damping compensators. © 2003 Elsevier Science B.V. All rights reserved.Artificial neural network; Low frequency oscillation; Unified power flow controllerComputer simulation; Damping; Electric loads; Flow control; Neural networks; Oscillations; Tuning; Power flow controllers; Electric power systemsjournal article10.1016/S0378-7796(03)00045-22-s2.0-0038787987WOS:000184334500008