Catalogue of Modules, University of Nottingham

H64TW2 Technologies for Wind Generation
(Last Updated:03 May 2017)

Year  17/18

Total Credits: 15

Level: Level 4

Target Students:  Students studying part-time MSc in Power Electronics, Machines and Drives; students on EM-STEPS European Masters.

Taught Semesters:

SemesterAssessment
Spring Assessed by end of Spring Semester 

Prerequisites: Knowledge of Electrical Power Engineering and Power Electronics

Corequisites:  

MnemTitle
H64ADP Advanced AC Drives with Project 
H64ADL Advanced AC Drives with Laboratory 

Summary of Content:  This module provides students with an understanding of the technologies used in wind power systems. It investigates the operation of wind generators and of wind farms and the current developments in electrical engineering for wind power. The module covers:

  • overall design of wind turbines
  • analysis of doubly-fed induction generators
  • analysis of grid connection systems for wind turbines
  • vector control of generators
  • operation and control of wind farms
  • economic evaluation of wind generators within a power system
  • AC-DC transmission links for offshore wind farms

    Method and Frequency of Class:

    ActivityNumber Of WeeksNumber of sessionsDuration of a session
    Lecture 6 weeks1 per week4 hours

    Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

    Further Activity Details:
    One 4-hour lecture per week over 6 weeks. Lectures in parallel with H64TWG.

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Exam 1 67 2 hour exam 
    Assignment 33 5000 words - Design & Research 

    Convenor: 
    Dr A Williams

    Education Aims:  This module aims to give an understanding of the electrical engineering technologies used in modern wind generators and wind farms. It will enable design and analysis of such systems.

    Learning Outcomes:  

    At the end of the module students will be able to: