Design of a new adaptive optimal wide area IPFC damping controller in Iran transmission network

In this paper a new optimal neuro-based wide area damping controller for the allocated multi functional convertible static compensator (CSC) is designed. The ANFIS method is applied to the dual heuristic programming (DHP) method form the adaptive critic design (ACD) family to design the multi mode oscillations damping controller. The most effective wide area damping input signals to the ACD model neural network is selected based on the geometry analysis. The bacterial swarm optimization (BSO) algorithm is applied to the ACD model neural network to have optimal system identification. The proposed method is applied to the allocated CSC in large multi machine interconnected IRAN power system to solve stability problems. Different contingencies at different loading conditions have been simulated and dynamic performance of the proposed method is compared with other methods such as energy based and ANFIS controllers. Also, effectiveness of both possible IPFC and UPFC configuration of the CSC in stability enhancement are compared together. It is shown that like steady state condition, IPFC is more effective than UPFC in inter area mode oscillation damping in the studied network (C) 2013 Elsevier Ltd. All rights reserved.