ELEC5205: Semester 2, 2024

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Units ELEC5205 Semester 2 2024 [Normal day]

Unit outline_

ELEC5205: High Voltage Engineering

Semester 2, 2024 [Normal day] - Camperdown/Darlington, Sydney

Overview

The unit provides advanced knowledge associated with high voltage engineering methods, techniques and equipment. It is divided into two sections. The first section presents fundamentals of the failure mechanisms of solid, liquid and gaseous insulation at high voltages. It also discusses consequent design principles for high-voltage equipment; of the generation of high direct, alternating and impulse voltages for testing high-voltage equipment; and of methods for monitoring and assessing the condition of high-voltage equipment such as dissolved gas analysis for oil-filled transformers and partial discharge in cables. The second section presents in detail all the high-voltage equipment and in particular underground cables, overhead transmission lines, transformers, bushings and switchgear. It finally offers asset management solutions for modern transmission and distribution electricity networks.

Unit details and rules

Academic unit	School of Electrical and Computer Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	The following previous knowledge is assumed for this unit. Circuit analysis techniques, electricity networks, power system fundamentals
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Jian Guo Zhu, jianguo.zhu@sydney.edu.au

Assessment

The census date for this unit availability is 2 September 2024

Details
Criteria

Type	Description	Weight	Due	Length
Supervised exam ?	Final exam Closed book exam	40%	Formal exam period	3 hours
Outcomes assessed:
Assignment	Lab report Perform the lab experiments and submit a group report	20%	Multiple weeks	n/a
Outcomes assessed:
Small test	Mid-semester test Midterm test	20%	Week 07 Due date: 11 Sep 2024 at 15:00 Closing date: 11 Sep 2024	1 hour
Outcomes assessed:
Assignment	Project Complete the given assignment of design/research nature and submit report	20%	Week 13 Due date: 01 Nov 2024 at 23:59	n/a
Outcomes assessed:
= group assignment ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Electrical breakdown of gases in uniform fields. Coefficients of ionisation and attachment. Avalanche and streamer formation streamer breakdown.	Lecture (2 hr)
Week 02	Electrical breakdown of gases is quasi-uniform fields. Electrical breakdown in compressed gases and vacuums.	Lecture (2 hr)
Week 02	Tutorial 1	Tutorial (2 hr)
Week 03	Electrical Corona: positive, negative and space charge effects.	Lecture (2 hr)
Week 03	Tutorial 2	Tutorial (2 hr)
Week 04	Electrical breakdown of solids and liquids – treeing initiated at defects. Weak link effect. Electrical breakdown across insulating surfaces – mechanisms of tracking and flash-over.	Lecture (2 hr)
Week 04	Tutorial 3	Tutorial (2 hr)
Week 05	Introduction to the design of bushings, underground cables, overhead line insulators, and circuit breakers.	Lecture (2 hr)
Week 05	Tutorial 4	Tutorial (2 hr)
Week 06	HV testing: Generation of HV AC (cascade and resonant methods) and DC (double and multi-stage rectifiers, Van der Graaf generators).	Lecture (2 hr)
	Laboratory - Faraday Cage (HV discharge)	Science laboratory (2 hr)
	Tutorial 5	Tutorial (2 hr)
Week 07	HV testing: Generation of HV impulse voltages (single-stage and Marx generators). Types of partial discharges and their detection and location in generators, motors and transformers.	Lecture (2 hr)
Week 07	Tutorial 6	Tutorial (2 hr)
Week 08	Partial discharge detection in gas insulated switchgear (UHF methods). Condition monitoring in oil-filled transformers. Dissolved gas analysis and furfural analysis.	Lecture (2 hr)
Week 08	Tutorial 7	Tutorial (2 hr)
Week 09	High voltage switchgear, circuit configurations for high and medium voltage switchgear installations, SF6 insulated switchgear, Station layouts, surge arrestors, busbar connections.	Lecture (2 hr)
	Laboratory - Fuse Experiment	Science laboratory (2 hr)
	Tutorial 8	Tutorial (2 hr)
Week 10	Overhead power lines: electrical parameters, lighting protection, earthing, loading and strength, sag and tension calculations.	Lecture (2 hr)
Week 10	Tutorial 9	Tutorial (2 hr)
Week 11	Basics of underground cables testing and maintenance methods, calculations and ampacity, types and selection	Lecture (2 hr)
Week 11	Tutorial 10	Tutorial (2 hr)
Week 12	Cable fault locating methods, condition monitoring and diagnostics, electrical safety and professional practices in the field.	Lecture (2 hr)
Week 12	Tutorial 11	Tutorial (2 hr)
Week 13	Catchup and revision	Lecture (2 hr)

Attendance and class requirements

Tutorials: Tutorials will be based on practical examples and industrial case studies.
Laboratories: Laboratories will include experiments with electrical breakdown of gas, liquids, and solids, and simulation of fuse element operation.
Independent Study: Review industrial standards and applications, and industrial case studies. 3 hours of independent study per week is expected.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. identify the most suitable equipment for performing specific testing on high-voltage applications
LO2. write a report to communicate project work
LO3. demonstrate an understanding of the professional environment of engineering work in terms of testing, commissioning, and assessment techniques for oil-immersed equipment, such as transformers and switchgear
LO4. demonstrate proficiency in assessing equipment in the laboratory by testing and then developing diagnostics
LO5. demonstrate an understanding of design methods for overhead lines and underground cables at the level of planning, selection, and construction
LO6. demonstrate an understanding of high voltage engineering techniques
LO7. demonstrate proficiency in performing calculations for the selection of cables, overhead lines, and high-voltage equipment
LO8. conduct analysis of industrial equipment.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Missing information from CUSP has been added.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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