Optimal Controller Design of a Wind Turbine with Doubly Fed Induction Generator for Small Signal Stability Enhancement

Lihui Yang, Guangya Yang, Zhao Xu, Zhao Yang Dong, Yu Sheng Xue

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Multi-objective optimal controller design of a doubly fed induction generator (DFIG) wind turbine system using Differential Evolution (DE) is presented in this chapter. A detailed mathematical model of DFIG wind turbine with a close loop vector control system is developed. Based on this, objective functions, addressing the steady state stability and dynamic performance at different operating conditions are implemented to optimize the controller parameters of both the rotor and grid side converters. A superior ε-constraint method and method of adaptive penalties are applied to handle the multi-objective problem and the constraint with DE. Eigenvalue analysis and simulation are performed on the single machine infinite bus (SMIB) system to demonstrate the control performance of the system with the optimized controller parameters.
Original languageEnglish
Title of host publicationWind Power Systems : Applications of Computational Intelligence
EditorsLingfeng Wang, Chanan Singh, Andrew Kusiak
PublisherSpringer
Publication date2010
Pages167-190
Publication statusPublished - 2010

Fingerprint Dive into the research topics of 'Optimal Controller Design of a Wind Turbine with Doubly Fed Induction Generator for Small Signal Stability Enhancement'. Together they form a unique fingerprint.

Cite this