Study information

Control Engineering for Renewable Energy - 2023 entry

MODULE TITLEControl Engineering for Renewable Energy CREDIT VALUE15
MODULE CODEENEM008 MODULE CONVENERProf Mohammad Abusara (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 10
Number of Students Taking Module (anticipated) 9
DESCRIPTION - summary of the module content
This module has been designed to develop your knowledge in control engineering with particular emphasis on its application for renewable energy and its integration including power electronic converters,  PV, wind turbines,wave energy converters and electric vehicles
 
 
Prerequisite module: ENE3002 or equivalent
 

 

AIMS - intentions of the module

On this module, you will develop understanding of linear control engineering through developing competence with analytical and computational design tools that are routinely adopted in industry, for design tasks.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module you should be able to:

Module Specific Skills and Knowledge

1. Understand the basics of closed loop control systems
2. Derive differential equations to model the dynamics of simple systems
3. Understand state space modelling 
4. Use Laplace Transforms to derive transfer functions
5. Compute Inverse Laplace Transforms and derive the time-domain solutions 
6. Use block diagrams to represent dynamic systems and their controllers 
7. Perform system analysis using the Laplace-domain
8. Implement control strategies for single-input-single-output linear system
9. Use Bode Diagrams and Root Locus analytical tools
10. Design linear control systems
 

Discipline Specific Skills and Knowledge

11. Develop practical understanding of modelling, design, and deployment of control systems for renewable energy resources
12. Take system approach to engineering problems

 

Personal and Key Transferable / Employment Skills and Knowledge

13. Use computational tools (Matlab/Simulink) for system analysis and control design
14. Apply analytical and computational tools for control of different applications: power electronics converters, wind turbines, PV, and wave energy converters
 

 

SYLLABUS PLAN - summary of the structure and academic content of the module
Part 1 – Theoretical Background:
 
- Introduction to control engineering;
- Open loop versus closed loop control;
- Proportional, Integral and Derivative (PID) control;
- Mathematical modelling of dynamic systems;
- Solving differential equations 
- Laplace Transform 
- Solving differential equations using Laplace Transform
- Block diagram and reduction rules
- Performance criteria of dynamic systems 
- Routh-Hurwitz Stability Criterion
- Step response of second order system 
- Steady State Analysis 
- Root locus
- Control Design using Root Locus
- Bode diagram and Nyquist stability criterion
 
 
Part 2 – Applications for Renewable Energy 
 
- Matlab Simulink;
- Modelling and Control of DC/DC converters for battery storage and PV;
- Modelling and Control of Wind Turbines;
- Modelling and Control of Wave Energy Converters;
- Powertrain for electric vehicles;
 
 
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 40 Guided Independent Study 110 Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning & teaching activities 30 Lectures with integrated tutorials, In-class lectures
Scheduled learning & teaching activities 10 Software tutorials, Instructional classes on use of software
Guided independent study 110 Private Study

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Not applicable      

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 100 Written Exams 0 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
In-class Test 50 1.5 hours 1-10 Assignment feedback
Matlab/Simulink based coursework on control design 50 20 pages @ 150 words / page ( equivalent to 3,000 words) 11-14 Assignment feedback

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
Summative assessment Additional summative assignment Weighting as above August Ref/Def period

 

RE-ASSESSMENT NOTES
If a student is referred or deferred, the failed / non-completed component(s) will be re-assessed at the same weighting as the original assessment.
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Basic reading:

ELE – http://vle.exeter.ac.uk/

Web based and electronic resources:

Other resources:

Matlab/Simulink
MATLAB Software
ETAP Software                                                                                                         

Reading list for this module:

Type Author Title Edition Publisher Year ISBN
Set Dorf, Richard C Modern Control Systems 13th edition Reading, Mass; Wokingham: Addison-Wesley 2016 978-0132451925
Set Keviczky, László Control Engineering Springer 2019
Set Mohan, N., Undeland, T., & Robbins, W. Power Electronics: Converters, Applications and Design John Wiley & Sons 2003
Set Ogata, Katsuhiko Modern Control Engineering 2010 130609072
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES ENE3002
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Tuesday 10th July 2018 LAST REVISION DATE Thursday 9th March 2023
KEY WORDS SEARCH Control of power electronics; power systems control; control engineering

Please note that all modules are subject to change, please get in touch if you have any questions about this module.