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
