Grid Integration of Wind Energy Using Fuzzy Logic Algorithm

C. Anuradha (), S. Vijayalakshmi (), Viswanathan Ganesh () and P. S. Ramapraba
Additional contact information
C. Anuradha: SRM Institute of Science and Technology
S. Vijayalakshmi: SRM Institute of Science and Technology
Viswanathan Ganesh: Chalmers University of Technology
P. S. Ramapraba: Panimalar Institute of Technology

A chapter in Handbook of Smart Energy Systems, 2023, pp 391-408 from Springer

Abstract: Abstract Wind Energy Conversion System (WECS) shows nonlinearities in their output power, hence it becomes a challenge for maximizing power and integrating with grid. To ensure maximum power Fuzzy Logic control is proposed at rotor side of Permanent Magnet Synchronous generator with maximum power point algorithm, mechanical speed is controlled. Power quality is maintained well by holding unity power factor grid side using sliding mode control. Hence wind energy is integrated with the grid using these control strategies are verified using MATLAB/Simulink tool.

Keywords: Wind energy conversion system; Permanent magnet synchronous generator; Fuzzy logic; Sliding mode control (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_180

Ordering information: This item can be ordered from
http://www.springer.com/9783030979409

DOI: 10.1007/978-3-030-97940-9_180

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().