Time scale analysis and synthesis of deterministic and stochastic wind energy conversion systems

Shaleena Jaison, D. Subbaram Naidu, Dawid Zydek

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The threat of climate change and diminishing fossil fuels demands nothing short of an energy revolution, a transformation which is already underway as renewable energy markets exhibit enormous and steady growth. This paper presents design of optimal control schemes for Wind Energy Conversion Systems (WECS) based on a time scale technique. The dynamics governing the mechanical components of a variable speed wind turbine are decoupled to bring about model order reduction, facilitating computationally efficient control schemes. Linear Quadratic Regulators (LQR) and Linear Quadratic Gaussian (LQG) controllers for deterministic and stochastic WECS models are discussed at length. Comparisons were made between controllers for the reduced order and full order systems. The results manifest the effectiveness of the proposed method, which provides comparable control while reducing model order and increasing computational efficiency.

Original languageEnglish (US)
Pages (from-to)189-198
Number of pages10
JournalWSEAS Transactions on Systems and Control
Volume9
Issue number1
StatePublished - 2014

Keywords

  • Linear quadratic gaussian control
  • Linear quadratic regulator
  • Time scales
  • Wind energy conversion systems

Fingerprint Dive into the research topics of 'Time scale analysis and synthesis of deterministic and stochastic wind energy conversion systems'. Together they form a unique fingerprint.

Cite this