ENGEE319-21B (HAM)

Smart Grids and the Internet of Things

15 Points

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Division of Health Engineering Computing & Science
School of Engineering

Staff

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Convenor(s)

Bill Rogers

Bill Rogers
4408
G.2.03
See Moodle
william.rogers@waikato.ac.nz

Lecturer(s)

Mark Apperley

Mark Apperley
See Moodle
mark.apperley@waikato.ac.nz

Melanie Ooi

Melanie Ooi
4577
G.1.11
See Moodle
melanie.ooi@waikato.ac.nz

Administrator(s)

: mary.dalbeth@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: cheryl.ward@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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Paper Description

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This paper is concerned with the application of sensors and IoT to modern smart grid electrical power systems including; sensor interfacing, data processing, power flow control and network stability.
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Paper Structure

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This course comprises lectures and laboratory sessions. Labs will be supervised, and assessed in the laboratory. The final project will involve a written report and a presentation. The two tests will take place in scheduled laboratory times, but will be written tests.
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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • Understanding of the electricity grid, and the role of smart micro-grids
    Linked to the following assessments:
  • An understanding of the nature and role of the internet of things (IoT).
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  • Interfacing sensors to microcomputers, and gathering and responding to data in real time.
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  • An understanding of generation and storage elements used in a micro-grid.
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  • An understanding of the role, construction, and use of digital twin models in the modelling and operation of a smart micro-grid.
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  • An appreciation of the human dimension to living and interacting with a smart micro-grid.
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  • The necessary knowledge to configure a micro-grid.
    Linked to the following assessments:
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Assessment

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The assessment for the paper comprises four laboratory exercises, a laboratory project, and two written tests. Laboratory exercises will be assessed in the laboratory by marking off completed components, in discussion with the laboratory supervisor. The laboratory project will include a final written report and a presentation.
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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Lab 1: Sensors and Analog-to-Digital conversion
21 Jul 2021
3:00 PM
10
  • In Class: In Lab
2. Lab 2: Data gathering
4 Aug 2021
3:00 PM
10
  • In Class: In Lab
3. Lab 3: Measuring and controlling real appliances
18 Aug 2021
3:00 PM
10
  • In Class: In Lab
4. Test 1: IoT and Grids
8 Sep 2021
2:00 PM
20
  • Other: In-class test. Room to be advised.
✔
5. Lab 4: Battery state-of-charge (also diary intro)
15 Sep 2021
3:00 PM
10
  • In Class: In Lab
6. Test 2: Covering material from the whole paper
13 Oct 2021
2:00 PM
20
  • Other: In-class test. Room to be advised.
✔
7. Project: Micro-grid with digital twin
15 Oct 2021
11:30 PM
20
  • Other: Presentation and report hand-in via Moodle
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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There are no preassigned readings

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Recommended Readings

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There are no preassigned recommended readings
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Online Support

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The course will have a Moodle page with lecture notes, Panopto recordings, and assignment information
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Workload

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Contact hours. There are two lecture hours a week. Attendance at lectures is very strongly recommended. One 2-hour, and two 1-hour lab sessions are scheduled every week, and students are expected to attend all three sessions. In general students should expect to spend approximately 5 hours a week in private study.
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Linkages to Other Papers

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Prerequisite(s)

Prerequisite papers: COMPX203 and COMPX204 and (COMPX202 or COMPX242 or ENGEE233)

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: COMPX318

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