An adaptive static VAr compensator using genetic algorithm and radial basis function network for enhancing power system stability

This paper presents an approach to enhance power system damping with long distant bulk power transmission by a static VAr compensator (SVC) using a radial basis function (RBF) network. A genetic algorithm (GA) employing the concept of hierarchical genetic algorithm (HGA) has been applied for designing an optimal proportional-integral-derivative (PID) controller for a SVC by selecting a necessary control type and optimizing those of control parameters under various operating conditions. An RBF network is then trained by using these data. The effectiveness of this control method is verified by simulation results compared with those from an optimal fixed gain PID controller using a GA without an RBF network