A Summary on Algorithm Research of Synchronous Generator Excitation Control

Abstract:

To solve the problem that in excitation control system the parameters of proportional integral differential (PID) controller are difficult to be set, a summary on research results of current synchronous generator excitation control regulator parameters optimization. The article details the PSO algorithm of synchronous generator excitation control principles, and whose advantages and disadvantages. For the PSO algorithm converges slower early and late defects iteration, it introduces a new algorithm called adaptive chaotic particle swarm optimization (CAPSO), and using the chaotic tent mapping-based search methods to achieve improvements in partly-search, with a strong and robust search capabilities for the industry and scholars for reference.

• Periodical: Advanced Materials Research (Volumes 468-471)
• Pages: 309-313
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.468-471.309
• Online since: February 2012
• Authors: Juan Yu
• Keywords: Excitation Control, Particle Swarm Optimization Algorithm (PSO), Synchronous Generator, Tent Mapping

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