Authors: Venkatachalam Manjula; Ahamed Khan Mahabub Basha
Addresses: Faculty of Electrical and Electronics Engineering, V.M.K.V. Engineering College, Salem, Tamil Nadu, India ' Department of Electronics and Communication Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal District, Tamil Nadu, India
Abstract: This document explains about an adaptive method for optimal power flow (OPF) of the power system, which is depending on the transient constancy restraints. The adaptive method is the mixture of both Cuckoo Search (CS) algorithm and artificial neural network (ANN). The innovative anticipated adaptive method is extremely flexible in nonlinear loads, suitable for user interface and logical reasoning, and allowing controlling formats. In the predefined generator, the CS algorithm optimises the generator arrangements by the load demand. The foremost intention of the CS algorithm is to reduce the fuel cost and emission cost. The obtainable ANN method is mainly used to develop the levy flight searching activities of the CS algorithm. The levy flight parameters are generally used to meet of the requirements the ANN, which envisage the precise consequences at the testing time. The anticipated adaptive method is executed in the MATLAB/Simulink platform and the efficiency of the anticipated procedure is investigated by the comparison analysis.
Keywords: optimal power flow; CS algorithm; artificial neural networks; cost minimisation; power loss reduction; synchronous generator.
International Journal of Operational Research, 2020 Vol.39 No.1, pp.1 - 23
Received: 25 Oct 2016
Accepted: 09 Oct 2017
Published online: 28 Apr 2020 *