Course coordinator
Dr Hui Ma
Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Elec Engineering & Comp Science School
Probability and reliability theories to optimize maintenance process and modern asset management techniques. Cause of failure and asset management strategies for transformer, underground cable, switch gear, and transmission/distribution network. Signal processing and data analytics for power system asset condition management.
This course covers asset management of modern power system assets such as transformers, overhead lines, cables, switchgears, and other transmission and distribution network equipment. The course provides knowledge about the principles of operation and management of typical power system assets, includingﾠtheir failure modes, insulation aging mechanisms, and techniques for health condition assessments. Factors affecting important over-stresses occurring in power networks (includingﾠfault currents,ﾠand lightning and switching overvoltages) are studied and acceptance testing are reviewed.ﾠPrinciples ofﾠmanaging electrical assets in power networks in various stages of the life cycle are covered, including specification, procurement, operation and maintenance,ﾠand replacement.ﾠThe latest techniques of sensing, signal processing and data analysing for power system asset management are introduced.
Based on the previous student feedback, the latest development of energy big data analytics and cyber security in power system asset management is included.
Course requirements
Assumed background
Students should have a background in basic power systemﾠanalysis including complex impedances, transients and three-phase systems.ﾠ
Prerequisites
You'll need to complete the following courses before enrolling in this one:
ELEC3300 or ELEC3310
Course contact
Course staff
Lecturer
Dr Hui Ma
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
- Understandﾠthe area of asset management inﾠpower industries.
- Understand the purpose, operations and failure modesﾠof major power system assets.
- Identify various condition monitoring and diagnostic techniques of power system assets and analyse measurement results.
- Identify the impact of these condition monitoring techniques in deregulated environments.
ﾠ
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Identify critical situations where high system stresses can occur and specify measures to reduce these stresses or alleviate their effect.
LO2.
Describe the failure modes of the main types of assets, which are the key components in large high voltage electric power systems.
LO3.
Identify types of condition monitoring techniques required to detect impending failures.
LO4.
Describe electrical tests that will give confidence that dangerously-high potential rises will not occur on exposed conducting parts of high voltage systems.
LO5.
Analyse collected datasets to the management of large populations of similar electrical power system assets.
LO6.
Evaluate strategic asset management policies for electricity transmission and distribution networks.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Tutorial/ Problem Set | Tutorial Submission No 1 | 10% |
23/08/2024 4:00 pm |
| Tutorial/ Problem Set | Tutorial Submission No 2 | 10% |
11/10/2024 4:00 pm |
| Essay/ Critique |
Assignment 3
|
20% (Report 10%, Presentation 10%) |
25/10/2024 4:00 pm
Presentations will be scheduled in Week 12 during the lecture and tutorial times. |
| Examination |
Final exam
|
60% |
End of Semester Exam Period 2/11/2024 - 16/11/2024 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Tutorial Submission No 1
- Mode
- Written
- Category
- Tutorial/ Problem Set
- Weight
- 10%
- Due date
23/08/2024 4:00 pm
- Learning outcomes
- L01, L02, L03, L04
Task description
Problem solving quiz will be uploaded to the Blackboard. Completed solutions should be uploaded to the Blackboard by the due date/time.
Submission guidelines
via Blackboard
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Marked assignments with feedback and/or detailed solutions with feedback will be released to students within 14-21 days, where the earlier time frame applies if there are no extensions.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Tutorial Submission No 2
- Mode
- Written
- Category
- Tutorial/ Problem Set
- Weight
- 10%
- Due date
11/10/2024 4:00 pm
- Learning outcomes
- L01, L02, L03, L04
Task description
Problem solving quiz will be uploaded to the Blackboard. Completed solutions should be uploaded to the Blackboard by the due date/time.
Submission guidelines
via Blackboard
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Marked assignments with feedback and/or detailed solutions with feedback will be released to students within 14-21 days, where the earlier time frame applies if there are no extensions.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Assignment 3
- In-person
- Mode
- Written
- Category
- Essay/ Critique
- Weight
- 20% (Report 10%, Presentation 10%)
- Due date
25/10/2024 4:00 pm
Presentations will be scheduled in Week 12 during the lecture and tutorial times.
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
Report 10%
A. Students will nominate a particular type of power system asset that they wish to study.
B. They will prepare a report including:
- Possible failure modes of the asset based on a review of literature
- Descriptions of several commercially-available condition monitoring systems identified by internet searches
- A discussion about the potential costs and benefits of the monitoring systems.
C: Students must provide a bibliography that lists all references. All material included in the report must be supported by an appropriate reference.
At least TEN pages are required (in font Times New Roman size 12, single column, double line space).
Page Margins - Top - 2.54 cm ; Bottom - 2.54 cm ; Outside - 2.54 cm ; Inside - 3.18 cm
Presentation 10%
Students must present their findings from their REPORT. Each student will have a 15 minutes in-person presentation which includes: 5 minutes presentation (no more than 5 PowerPoint slides should be used in the presentation) and 10 minutes questions and answer.
DATE FOR THE PRESENTATION IN THE LAST WEEK OF SEMESTER WILL BE ADVISED VIA BLACKBOARD
This assessment task evaluates students' abilities, skills and knowledge without the aid of Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Report must be submitted via Blackboard.
Deferral or extension
You may be able to apply for an extension.
Report
Maximum Extension: 7 days. Marked assignments with feedback and/or detailed solutions with feedback will be released to students within 14-21 days, where the earlier time frame applies if there are no extensions.
Late Submission: Assessment items received after the deadline will be subject to a late penalty of 10% per 24 hours of the maximum possible mark for the assessment item. More than 7 periods of 24 hours, 100% penalty.
Presentation
Maximum Extension: 7 days. Oral sessions are scheduled with multiple markers. Max extension may be limited by feedback timeline.
Late Submission Penalty: 100% Late Penalty. No grace period.
Final exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 60%
- Due date
End of Semester Exam Period
2/11/2024 - 16/11/2024
- Other conditions
- Time limited.
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
Final examination will be based on the material covered throughout the course. This will be an invigilated exam on campus.
Hurdle requirements
To get a Grade of 4 and above, you are required to get at least 40% from the final exam. If you obtain less than 40% on the final exam, then your final grade is capped at a 3.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
| Open/closed book | Closed Book examination - specified written materials permitted |
| Materials | One A4 sheet of handwritten notes , single sided, is permitted |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 19 |
Absence of evidence of achievement of course learning outcomes. Course grade description: Serious deficiencies in quality of performance in relation to learning objectives |
| 2 (Fail) | 20 - 44 |
Minimal evidence of achievement of course learning outcomes. Course grade description: Clear deficiencies in performance, but evidence that some basic requirements have been met |
| 3 (Marginal Fail) | 45 - 49 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: As evidenced by failing to successfully complete basic assessment tasks |
| 4 (Pass) | 50 - 64 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: To successfully pass the subject (GP 4), the student should have a sound knowledge about the technology of power system assets including failure modes and condition monitoring techniques. They should be able to demonstrate their understanding of the field by providing adequate answers to examination questions and completing assignments that adequately cover most of the main points required. |
| 5 (Credit) | 65 - 74 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: To obtain a CREDIT (GP 5), the student should have a good knowledge about the technology of power system assets including failure modes and condition monitoring techniques and they should be able to show that they can under take simple economic studies and have an appreciation of holistic aspects of electricity network asset management. They should be able to demonstrate their understanding of the field by providing better than adequate answers to examination questions and completing assignments that cover all of the main points required. |
| 6 (Distinction) | 75 - 84 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: To obtain a DISTINCTION (GP 6), the student should have an excellent knowledge of power system assets including failure modes and condition monitoring techniques. They should be able to demonstrate their understanding of the field has been expanded by wider personal study to facilitate very complete answers to examination questions and outstanding assignments. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: To obtain a high distinction (GP 7), in addition to criteria for a GP of 6, the student should demonstrate the ability of original thinking and/or cross migration of ideas from other areas of knowledge. |
Additional course grading information
To pass this course students must achieve at least 40% for the final exam and 50% of the overall course marks. The course grade is calculated based on the overall course marks only when final exam hurdle is passed. If the final exam hurdle is not met, the grade will be capped to 3.
Your overall mark will be rounded to the nearest whole percent.
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Having Troubles?
If you are having difficulties with any aspect of the course material you should seek help. Speak to the course teaching staff.
If external circumstances are affecting your ability to work on the course, you should seek help as soon as possible. The University and UQ Union have organisations and staff who are able to help, for example, UQ Student Services are able to help with study and exam skills, tertiary learning skills, writing skills, financial assistance, personal issues, and disability services (among other things).
Complaints and criticisms should be directed in the first instance to the course coordinator. If you are not satisfied with the outcome, you may bring the matter to the attention of the School of EECS Director of Teaching and Learning.
Artificial Intelligence (AI) or Machine Translation (MT)
These assessment tasks evaluate students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Find the required and recommended resources for this course on the UQ Library website.
Additional learning resources information
Lecture notes,ﾠtutorial materialﾠand lab sheets will be available in the course home-page on the Blackboard.
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Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Week 1 (22 Jul - 28 Jul) |
Lecture |
Week 1: Introduction to asset management Introduction to the course - modern electricity networks and asset management. Learning outcomes: L06 |
Multiple weeks From Week 2 To Week 13 |
Tutorial |
Tutorial Classes Starting from week 2. More information will be available through blackboard. Learning outcomes: L01, L02, L03, L04, L05, L06 |
Practical |
Insulation condition monitoring Demo Laboratory demonstration on various insulation condition monitoring techniques. Laboratory notes will be uploaded to the Blackboard. More information will be provided on the Blackboard. Learning outcomes: L03, L04, L05 |
|
Week 2 (29 Jul - 04 Aug) |
Lecture |
Week 2: Abnormal Currents and Temperature Rise Factors affecting load and fault currents. Calculation of short-time temperature rise in assets using thermal time constant. Learning outcomes: L01 |
Week 3 (05 Aug - 11 Aug) |
Lecture |
Week 3: Abnormal Voltages and Travelling Waves 0 Hz, resonant, harmonic, ferroresonant, switching and lightning overvoltages. Travelling waves and calculation of lightning and switching surges. Learning outcomes: L01 |
Week 4 (12 Aug - 18 Aug) |
Lecture |
Week 4: High Voltage (HV)Insulation Introduction to properties of insulation - gas, liquid and solid dielectrics. Composite insulation, Characteristics of insulation aging Learning outcomes: L02 |
Week 5 (19 Aug - 25 Aug) |
Lecture |
Week 5: Surge Arrester and Insulation Coordination Surge arresters fundamentals and its condition assessment. Surge arrester placement and co-ordination of other power system equipment (e.g. transformer). Learning outcomes: L02, L03, L04 |
Week 6 (26 Aug - 01 Sep) |
Lecture |
Week 6: Power System Asset Testing Purpose, types, requirements and standards of high voltage (HV) testing, HV measurement systems, condition monitoring. Learning outcomes: L04, L05 |
Week 7 (02 Sep - 08 Sep) |
Lecture |
Week 7:Power Transformers Introduction to power transformer technology: construction, windings, insulation, tap changers. Voltage and current transformers. Failure modes, testing and special condition monitoring methods. Learning outcomes: L01, L02, L03, L05, L06 |
Week 8 (09 Sep - 15 Sep) |
Lecture |
Week 8: Power system earthing fundamentals Earthing methods, earthing resistance measurements, power system earthing principles, failure and condition assessment of earthing systems. Learning outcomes: L01 |
Week 9 (16 Sep - 22 Sep) |
Lecture |
Week 9: Arcs and Circuit Breakers Characteristics of arcs. Current interruption by circuit breakers and switches.Modern types of circuit breakers and their failure modes. Learning outcomes: L01, L02, L03, L04 |
Week 10 (30 Sep - 06 Oct) |
Lecture |
Week 10: Asset Management in Utilities Historical perspective of Asset Management, Major Asset Management issues since deregulation, Condition monitoring & plant life considerations, other Asset Management concepts. Learning outcomes: L05, L06 |
Week 11 (07 Oct - 13 Oct) |
Lecture |
Week 11: Data Analytics in Asset Management Introduction of data analytic techniques for Power System Asset Condition Monitoring and Diagnosis Learning outcomes: L03, L05 |
Week 12 (14 Oct - 20 Oct) |
Workshop |
Week 12: Student Presentation Student presentations to fulfill Assignment 3. Learning outcomes: L01, L02, L03, L04, L05, L06 |
Week 13 (21 Oct - 27 Oct) |
Lecture |
Week 13: Revision revision Learning outcomes: L01, L02, L03, L04, L05, L06 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
School guidelines
Your school has additional guidelines you'll need to follow for this course: