Title :
Low Discrepancy Sequences Based Optimization Algorithm for Tuning PSSs
Author :
Alabduljabbar, A.A. ; Milanovic, J.V. ; Al-Eid, E.M.
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Manchester, Manchester
Abstract :
A Power System Stabilizer (PSS) is one of the most widely used power system controllers to enhance the stability of the power systems. In this paper, a new optimization technique for tuning PSSs in multi machine power system is presented. It is used to tune five PSSs in a 39-Bus IEEE New England network to enhance the small signal stability. The technique used is based on Low Discrepancy Sequence (LDS) or Quasi-Monte Carlo (QMC) algorithm. Different aspects regarding the application of this new algorithm are also presented. In addition, a comparison between LDS and one of the classical tuning methods namely Sequential Quadratic Optimization (SQP) is given. The results clearly demonstrate the effectiveness of the LDS method.
Keywords :
Monte Carlo methods; optimisation; power system control; power system stability; 39-Bus IEEE New England network; PSS; low discrepancy sequence technique; multimachine power system; optimization algorithm; power system controller; power system stabilizer; quasiMonte Carlo algorithm; small signal stability; Artificial intelligence; Control systems; Flexible AC transmission systems; Mathematics; Optimization methods; Power system control; Power system faults; Power system planning; Power system stability; Student members;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2008. PMAPS '08. Proceedings of the 10th International Conference on
Conference_Location :
Rincon
Print_ISBN :
978-1-9343-2521-6
Electronic_ISBN :
978-1-9343-2540-7
