DSP-Based PSO Implementation for Online Optimization of Power System Stabilizers

Author

Parviz Palangpour
Pinaki Mitra
Swakshar Ray
Ganesh K. Venayagamoorthy, Missouri University of Science and TechnologyFollow

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.

Recommended Citation

P. Palangpour et al., "DSP-Based PSO Implementation for Online Optimization of Power System Stabilizers," Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2008. AHS'08., Institute of Electrical and Electronics Engineers (IEEE), Jun 2008.

The definitive version is available at https://doi.org/10.1109/AHS.2008.70

Meeting Name

NASA/ESA Conference on Adaptive Hardware and Systems, 2008. AHS'08.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Digital Signal Processing Chips; Particle Swarm Optimisation; Power System Control; Power System Stability

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jun 2008