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ELEC5207: Advanced Power Conversion Technologies (2017 - Semester 2)

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Unit: ELEC5207: Advanced Power Conversion Technologies (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: A/Prof Xiao, Weidong
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: The technique of power conditioning and control for renewable power generation has received tremendous attention in research and industry applications. The unit aims to cover advanced topics of power conversion and control. In particular, The unit assumes prior knowledge of fundamental power electronics for AC/DC, DC/DC, and DC/AC conversion. In particular, this unit will cover advanced technologies on power electronics and control for photovoltaic power utilization.
Assumed Knowledge: ELEC3204.
Timetable: ELEC5207 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 3.00 1 4
3 Laboratory 3.00 1 4
4 Project Work - own time 2.00 1 10
5 Independent Study 3.00 1 13
T&L Activities: Tutorial: 4 sessions of 3 hr tutorial covering design issues developing student engineering practical skills, computer simulations for design and equally important analytical and problem solving skills.

Laboratory: 4 sessions of 3-hr laboratory on modern power electronic systems including digital control, inverter control, power electronics interfaces and applications.

Project Work - own time: Project work on design and implementation of advanced power conversion systems

Independent Study: Study at home

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
The project, laboratory sessions and assignments will develop design and analytical skills at both circuit and system levels and are application-oriented Design (Level 4)
Through lectures, tutorials, laboratory sessions and project, students will be able to analyse, design, and implement of power electronics and control to solve current issues of renewable power generation. Engineering/IT Specialisation (Level 4)
Dynamic modeling and simulation are required to apply mathematics to predict and mimic system behaviour. Maths/Science Methods and Tools (Level 4)
Perform literature review of recent R&D of advanced power electronics systems and analyse technical information from patents, product specifications, application notes, industry standards, online materials and technical documents to make professional decision on specific design problems given in the unit. Information Seeking (Level 3)
Labs and project to develop communication and technical writing skills. Communication (Level 3)
Design advanced power electronics systems to meet industry standards and code of practices. Professional Conduct (Level 2)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Maths/Science Methods and Tools (Level 4)
1. Ability to demonstrate an understanding of concepts in power electronic conversion systems for ac-dc and dc-ac power conversions in both steady state and transient state of operation.
Engineering/IT Specialisation (Level 4)
2. Ability to analyse and design advanced power electronic systems in smart grids and power systems, namely, D-STATCOM, hybrid distributed energy generation, and energy storage management including battery and fuel cells.
Design (Level 4)
3. Ability to model ac equivalent circuits of power electronics circuits for dynamic behavioural analysis
4. Capacity to investigate power quality and power system stability issues due to grid-connected inverters and rectifiers from circuit level to system level
5. Ability to design and simulate control system for active power filter and reactive power compensation to meet current international standards and regulations
6. Capacity to model and design power electronics interfaces for smart and grid and power systems using semiconductors, passive devices, circuits, integrated circuits and modelling software.
Professional Conduct (Level 2)
7. Ability to employ standards and procedures in design, to a level of quality that will allow prototyping.
Information Seeking (Level 3)
8. Ability to undertake knowledge developments by drawing on many and varied information sources specific to the power electronics and power systems industry for new designs and solutions to problems.
9. Demonstrable ability to draw information from diverse sources on the impact of power electronic systems on society`s development and synthesise the positive effect on the environment through the follow-on conditioning of renewable energy sources such as wind, solar, hydrogen-fuel cells.
Communication (Level 3)
10. Ability to communicate specific design project material through proper engineering reports.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Final Exam No 40.00 Exam Period 1, 2, 3, 4, 5, 6, 7, 8,
2 Mid-Sem Exam No 25.00 Week 7 1, 2, 3, 4, 5, 6, 7, 8,
3 Lab Skills Yes 15.00 Multiple Weeks 2, 3, 4, 5, 6, 10,
4 Presentation Yes 5.00 Multiple Weeks 8, 9, 10,
5 Project report No 15.00 Week 13 (Saturday, 1 am) 1,
Assessment Description: Lab skills: Laboratory experiments using state-of-the-art power electronic systems of commercial complexity and practicality.

Assignments: Design of PWM rectifier, inverter, active power filter, soft-switching technique in a typical power supply, and other practical systems and applications.

Presentation: Recent research and development of power electronics systems and analysis

Mid-semester exam: To monitor students` progress and provide feedback to students through mid-semester assessment

Final Exam: Final Exam.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 - Course introduction

- Signal averaging technique for modeling buck-based converters
Week 2 State-space averaging and linearization for modeling power converters
Week 3 Stability analysis of feedback control loops in power electronics
Week 4 Controller synthesis and affine parameterization
Week 5 Classification of photovoltaic power systems

Introduction of industry standards
Week 6 Output characteristics and mathematical models of solar cells
Week 7 Midterm exam
Assessment Due: Mid-Sem Exam
Week 8 Numerical Simulation Techniques for PV cells, modules, and arrays
Week 9 Power Conditioning for PV Power Systems
Week 10 Dynamic modeling and voltage regulation for PV power systems
Week 11 Maximum power point tracking for photovoltaic power systems
Week 12 PV power system integration and simulation
Week 13 Overview and revision

Project presentation
Assessment Due: Project report
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Electrical (till 2014) 2012, 2013, 2014
Electrical (Bioelectronics) (till 2012) 2012
Electrical (Computer) (till 2014) 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2012, 2013, 2014
Electrical (Power) (till 2014) 2012, 2013, 2014
Electrical (Telecommunications) (till 2014) 2012, 2013, 2014
Electrical Mid-Year 2016, 2017, 2018
Electrical 2015, 2016, 2017, 2018
Electrical / Arts 2016, 2017, 2018
Electrical / Commerce 2016, 2017, 2018
Electrical / Medical Science 2016, 2017, 2018
Electrical / Music Studies 2016, 2017, 2018
Electrical / Project Management 2016, 2017, 2018
Electrical / Science 2016, 2017, 2018
Electrical (Computer) 2015
Electrical / Law 2016, 2017, 2018
Electrical (Power) 2015
Electrical (Telecommunications) 2015
Software Mid-Year 2016, 2017, 2018
Software 2015, 2016, 2017, 2018
Software / Arts 2016, 2017, 2018
Software / Commerce 2016, 2017, 2018
Software / Medical Science 2016, 2017, 2018
Software / Music Studies 2016, 2017, 2018
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018
Software / Law 2016, 2017, 2018
Software Engineering (till 2014) 2012, 2013, 2014
Master of Engineering 2013, 2014, 2015, 2016, 2017, 2018
Master of Engineering (Electrical) 2012
Master of Engineering (Network) 2012
Master of Engineering (Power) 2012
Master of Engineering (Wireless) 2012
Master of Professional Engineering (Electrical) 2012, 2013, 2014, 2015, 2016, 2017, 2018
Master of Professional Engineering (Power) 2012, 2013, 2014, 2015, 2016, 2017, 2018

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Maths/Science Methods and Tools (Level 4) Yes 24.75%
Engineering/IT Specialisation (Level 4) Yes 12%
Design (Level 4) Yes 39%
Professional Conduct (Level 2) Yes 9.75%
Information Seeking (Level 3) Yes 10.5%
Communication (Level 3) Yes 4%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.