Power System Stabilizer Design for Multimachine Power System Using Genetic Algorithm
This paper uses genetic algorithm (GA) framework integrated with the classical Lyapunovs parameter optimization method employing an Integral of Squared Error (ISE) criterion to optimally tune the parameters of the power system stabilizers(PSSs) for a multi-machine system, consisting of three machines and ten interconnected buses, which is taken from the national electric power grid of Ethiopia.The issue of optimally tuning the parameters of the PSS is converted into an optimization problem that is solved via the GA algorithm.Within the GA process, a potential solution-the PSS parameter setting-is coded as an individual, which is part of a population of such potential solutions randomly generated, and by applying the survival of the fitness principle based on each individuals fitness with respect to the objective, a sound basis for finding the best individual, i.e.global optimum solution, is created.Simulation results are presented to show the effectiveness of the proposed approach, for various system loading conditions and other disturbances such as perturbation in mechanical torque inputs to the machines, and have been performed with satisfactory results with the design and integration of PSS to the power system investigated in this paper.
Dynamic stability electromechanical oscillations genetic algorithm (GA) Integral of Squared Error (ISE) Lyapunov equation Power systems Power system stabilizers(PSSs)
Abinet Tesfaye J.H.Zhang D.H.Zheng D.N.Zhang
School of Electrical and Electronic Engineering, North China Electric Power University, Changping Di School of Electrical and Electronic Engineering , North China Electric Power University, Changping D Goldwind and Etechwin Electric Co., Ltd, Beijing Economic-Technology Development Area, Beijing North China Power Engineering Co., Ltd of China Power Engineering Consulting Group, Xicheng District
国际会议
南京
英文
274-282
2015-09-21（万方平台首次上网日期，不代表论文的发表时间）