Title :
DSP-Based PSO Implementation for Online Optimization of Power System Stabilizers
Author :
Palangpour, Parviz ; Mitra, Pinaki ; Ray, Swakshar ; Venayagamoorthy, Ganesh K.
Author_Institution :
Real-Time Power & Intell. Syst. Lab., Missouri Univ. of Sci. & Technol., Rolla, MO
Abstract :
Real-time implementations of controllers require optimization algorithms which can be performed quickly. In this paper, a digital signal processor (DSP) implementation of particle swarm optimization (PSO) is presented. PSO is used to optimize the parameters of two stabilizers used in a power system. The controllers and PSO are both implemented on a single DSP in a hardware-in-loop configuration. Results showing the performance and feasibility for real-time implementations of PSO are presented.
Keywords :
digital signal processing chips; particle swarm optimisation; power system control; power system stability; DSP-based PSO implementation; digital signal processor; hardware-in-loop configuration; online optimization; particle swarm optimization; power system stabilizers; Adaptive systems; Control systems; Digital signal processing; Digital signal processors; Field programmable gate arrays; Hardware; Power system simulation; Power systems; Real time systems; Signal processing algorithms; dsp; pso; pss; real-time;
Conference_Titel :
Adaptive Hardware and Systems, 2008. AHS '08. NASA/ESA Conference on
Conference_Location :
Noordwijk
Print_ISBN :
978-0-7695-3166-3
DOI :
10.1109/AHS.2008.70