Optimization of automatic regulator settings of the distributed generation plants on the basis of genetic algorithm

Abstract

The smart grid concept envisages the creation of a developed automatic control system of the electric power system operation that involves a wide application of distributed generation plants integrated into the energy clusters. These technologies are fully applicable to the railway electricity supply systems (RESS) which are mainly intended for the reliable high quality electricity supply of the traction consumers (trains) as well as non-traction and non-transport ones. For effective operation of the distributed generation plants, it is necessary to solve the problem of the optimal tuning automatic excitation regulators (AER) and automatic speed regulators (ASR), taking into account the specific features of RESS. The paper presents a description of an adaptive genetic algorithm for solving the problems of settings optimization for AER and ASR of the distributed plant turbine generators operating in RESS. The studies of computer models of electric power systems with distributed generation plants in MATLAB show that the AER and ASR tuning coefficients calculated with the proposed adaptive genetic algorithm provide the required stability margin, good damping electromechanical oscillations and standard power quality values in the power supply system of non-traction consumers.