The Role of the Hybrid compensator in Improving Energy Transfer in Power Systems Using Fuzzy and Adaptive Neuro-Fuzzy Inference System (ANFIS) Control

With the advent of hybrid compensators, it has become possible to improve energy transfer by the least investment cost and the rapid control of power system problems. In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) method is applied to control Rotary Hybrid Flow Controller parameters as a new member of hybrid compensators. Also, the proposed control strategy is simulated to determine the total fuel cost, power losses and system loadability as objective functions in IEEE 14 bus test system using Matlab software. Furthermore, in order to highlight the ability of ANFIS method, the results are compared to OPF model from economical and technical points of view. The results demonstrate the effectiveness of the intelligent method to improve the power system operation.