A NOVEL OF ARTIFICIAL BEE COLONY AND NEURAL NETWORK FOR MULTIMACHINE POWER SYSTEM STABILIZER DAMPING

An Artificial Neural Network (ANN) is proposed in this paper for multi machine Power System Stabilizer (PSS) damping. The proposed ANN is optimized with Artificial Bee Colony (ABC) to better learn as a controller in power system. Actually, the weights and bias of the ANN are important to improve its application. So, finding the weights and bias of ANN is proposed as an optimization problem to damp low frequency oscillation. This newly developed control strategy composed the advantages of ANN and ABC, which leads to a flexible controller with simple structure. The New England power system with 10 machine and 39-bus are proposed as a case study in comparison with Tabu Search (TS) through FD and ITAE performance indices under different operating condition. The proposed method guarantees a robust acceptable performance over a wide range of operating and system condition.