Digital Twinning for Power System Plant - 2024 entry
MODULE TITLE | Digital Twinning for Power System Plant | CREDIT VALUE | 15 |
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MODULE CODE | ENGM030 | MODULE CONVENER | Prof Farhad Namdari (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 0 | 6 | 0 |
Number of Students Taking Module (anticipated) | 10 |
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Power system plant transports electrical energy from the generating sources to the consumers, and includes transformers, cables, overhead lines, switchgear, and the control and monitoring equipment that ensures power quality and resilience. The basic principles and key issues in designing the plant and ensuring the operational and maintenance strategies are appropriate for a resilient smart grid future are discussed in the module. It also introduces the concept of plant digital twins. This uses condition monitoring data, in conjunction with integrated simulation models, to evaluate the thermal, electrical, mechanical and chemical properties of the plant, and assess failure-risk and life-expectancy.
The module aims to educate you about the items of plant used in a power system, with a focus on design principles, modes of operation and lifecycle management. Furthermore, it will teach you the main concepts associated with condition monitoring and asset management. By introducing state-of-art ideas in digital twinning the module will ensure you are equipped with knowledge of the digital tools needed to manage a future low-carbon smart grid.
Module Specific Skills and Knowledge:
1 Describe the Power Systems and key Components
2 Have an overall knowledge on Real-Time Simulations and Control of Power Systems
3 Have an overall knowledge on the Digital Twinning
4 Apply thermal, electrical, mechanical and chemical principles to the design of power system plant
5 Critically review condition monitoring techniques used for assessing the plant health and failure-risk
6 Explain the latest trends in digital twinning and its’ importance in asset management
7 Develop digital asset management tools for power transformers based on their condition monitoring data
8 Recognise the environmental impact of traditional insulation materials and development process of new environmentally friendly insulation materials
9 Explain the modelling of Renewable Energy Sources and Storage Systems
Discipline Specific Skills and Knowledge:
10 Apply a range of computational methods to solve engineering problems
Personal and Key Transferable/ Employment Skills and Knowledge:
11 Oral and written communication skills
12 Effective use of learning resources
Whilst the module’s precise content may vary from year to year, an example of an overall structure is as follows:
· Principles associated with the design of plant used in electrical power networks
· Key items of plant, including thermal, electrical and mechanical designs, and associated condition monitoring:
o Transformers
o Overhead lines
o Cables
o Switchgear
· Renewable Energy Sources and Storage Systems
· Real-TimeSimulation and Monitoring
· Digital twinning of power system plant
· Asset management
Scheduled Learning & Teaching Activities | 43 | Guided Independent Study | 107 | Placement / Study Abroad | 0 |
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Category | Hours of study time | Description |
Scheduled learning and teaching activities | 28 | Lectures |
Scheduled learning and teaching activities | 12 | Tutorials |
Scheduled learning and teaching activities | 3 | Laboratories |
Guided independent study | 107 | Lecture and assessment preparation and associated reading |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Quiz | Two quizzes each which typically require one hour | All | Self-assessment with oral feedback |
Coursework | 30 | Written Exams | 70 | Practical Exams | 0 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method | ||||||
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Written exam | 70 | 2 hours | All | Written | ||||||
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10 | 15-20 slides |
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Oral | ||||||
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10 | 2 hours | All | Oral | ||||||
Programming Project in MATLAB/SIMULINK | 10 | 2 hours | All | Oral |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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All above | Wriiten Exam (100%) | All | Referral/Deferral period |
Reassessment will be by coursework and/or written exam in the failed or deferred element only. For referred candidates, the module mark will be capped at 50%. For deferred candidates, the module mark will be uncapped.
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
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Harker, K. 2018. High Voltage Power Network Construction
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Kuffel, E. and Kuffel, J. 2000 High Voltage Engineering Fundamentals
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Bayliss, C.R. and Hardy, B.J. 2012 Transmission and Distribution Electrical Engineering. 4th Edition
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James, R.E. and Su, Q. 2008 Condition Assessment of High Voltage Insulation in Power System Equipment
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Phadke A. G., Thorp J. S. 2009 Computer Relaying for Power Systems, Chapters 3&4, 2nd Edition, Wiley
Other resources:
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IEEE Latest Publications
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IET Latest Publications
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Elsevier’s Latest Publications
Reading list for this module:
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
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PRE-REQUISITE MODULES | None |
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CO-REQUISITE MODULES | None |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Friday 22nd March 2024 | LAST REVISION DATE | Friday 28th June 2024 |
KEY WORDS SEARCH | Digital Twin, Power System Plant, Condition Monitoring |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.