Robust optimization of a wind generator based on an analytical model and wind data of a site

Seyed Payam Emami, Amin Mahmoudi, Solmaz Kahourzade

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper deals with the optimization of surface permanent magnet generator (SPMG) for wind generator system (WGC) application. An analytical model based on sub-domain method is introduced in three subdomains. The analytical model is confirmed against 2D finite-element. It predicts the steady-state performance precisely. Various design parameters of SPMG are regarded and then optimized according to the analytical model with the aim of maximizing annual energy, which is obtained from WGC. For operation in the nominal condition, wind data for a specific area is gathered and then the design parameters are educated to maximize annual energy. Beside the main goal of the paper, which is maximum annual energy, other objective functions are also considered to wind up an entire study. Objective functions such as total harmonic distortion (THD), torque ripple (TR), power factor (PF) and losses are included. The proposed analytical model can investigate all possible pole and slot combinations, permanent magnet (PM) thickness, PM arc, inner radius stator and machine stack length as variables for a specific objective function. The proposed approach is much faster than finite-element analysis (FEA) with high accuracy close to FEA.

Original languageEnglish
Title of host publication9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020
Place of PublicationJaipur, India
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781728156729
DOIs
Publication statusPublished - 16 Dec 2020
Event9th IEEE International Conference on Power Electronics, Drives and Energy Systems - Malaviya National Institute of Technology, Jaipur, India
Duration: 16 Dec 202019 Dec 2020

Publication series

Name9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020

Conference

Conference9th IEEE International Conference on Power Electronics, Drives and Energy Systems
Abbreviated titlePEDES 2020
Country/TerritoryIndia
CityJaipur
Period16/12/2019/12/20

Keywords

  • Analytical Model
  • Optimal Design
  • Surface Permanent Magnet Machines
  • Wind Generator Systems

Fingerprint

Dive into the research topics of 'Robust optimization of a wind generator based on an analytical model and wind data of a site'. Together they form a unique fingerprint.

Cite this