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MODULE TITLE	Control Engineering for Renewable Energy	CREDIT VALUE	15
MODULE CODE	ENEM008	MODULE CONVENER	Prof 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	40.00	Guided Independent Study	110.00	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	Search
Set	Dorf, Richard C	Modern Control Systems	11(5th or later)	Reading, Mass; Wokingham: Addison-Wesley	2008	978-0132451925	[Library]
Set	Keviczky, László	Control Engineering		Springer	2019		[Library]
Set	Mohan, N., Undeland, T., & Robbins, W.	Power Electronics: Converters, Applications and Design		John Wiley & Sons	2003		[Library]
Set	Ogata, Katsuhiko	Modern Control Engineering			2010	130609072	[Library]

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 10 July 2018	LAST REVISION DATE	Thursday 09 March 2023

KEY WORDS SEARCH	Control of power electronics; power systems control; control engineering

ENEM008 - Control Engineering for Renewable Energy (2023)