2008 NASA/ESA Conference on Adaptive Hardware and Systems 2008
DOI: 10.1109/ahs.2008.70
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DSP-Based PSO Implementation for Online Optimization of Power System Stabilizers

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 stablizers 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.

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Cited by 9 publications
(4 citation statements)
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“…Through experimentation on all the 16 generators, it is found that the satisfactory system order for each generator is less than 12. Taking G 10 as an examp le, the identified system matrices are: LMI is a mathematical tool that is useful in poleplacement and H2/Hcn control [8]. Using the controlled system matrices, linear controller can be easi ly designed.…”
Section: Ill System Identif Ication Using Ssimentioning
confidence: 99%
See 1 more Smart Citation
“…Through experimentation on all the 16 generators, it is found that the satisfactory system order for each generator is less than 12. Taking G 10 as an examp le, the identified system matrices are: LMI is a mathematical tool that is useful in poleplacement and H2/Hcn control [8]. Using the controlled system matrices, linear controller can be easi ly designed.…”
Section: Ill System Identif Ication Using Ssimentioning
confidence: 99%
“…Though there are abundant LMI tools to solve those robust control problems, accurate linearized model is hard to obtain for an interconnected power system, calling for data-driven approaches. Heuristic optimization methods such as Particle Swarm Optimization (PSO) are adopted to tune PSSs [8]; yet its online effectiveness on an actual system is yet to be verified.…”
Section: Introductionmentioning
confidence: 99%
“…In literature, there exist a lot of papers on supplementary damping control; and a few relevant ones are discussed below [2][3][4][5][6][7][8][9][10][11]. An early approach is based on the analysis of power system oscillation modes using Prony Analysis (PA); local PSSs are designed as filters to get rid of specific modes [2].…”
Section: Introductionmentioning
confidence: 99%
“…An early approach is based on the analysis of power system oscillation modes using Prony Analysis (PA); local PSSs are designed as filters to get rid of specific modes [2]. A real-time implementation of a heuristic approach for online PSS tuning is presented in [3]. A coordinated design of local PSSs and AVRs is presented in [4].…”
Section: Introductionmentioning
confidence: 99%