ENGEE319-23B (HAM)

Smart Grids and the Internet of Things

15 Points

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The University of Waikato
Academic Divisions
Division of Health Engineering Computing & Science
School of Engineering

Staff

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Convenor(s)

Shafiq Tito

Shafiq Tito
G.1.10
See Moodle
shafiq.tito@waikato.ac.nz

Lecturer(s)

Administrator(s)

: buddhika.subasinghe@waikato.ac.nz
: janine.williams@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: anne.ferrier-watson@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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What this paper is about

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Integration of uncertain and non-dispatchable renewable generation into the electric grid with variable electrical demand introduces complicated operational issues. This requires evolution of existing grid into a smart grid. This paper is concerned with the application of sensors and IoT devices of a smart electrical power systems including; sensor interfacing, data processing, power flow control and network stability. Available wind turbine, solar Photovoltaic, sensors and smart IOT devices will be utilized to mimic the operation of a Smart Grid.
The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/assets/Uploads/Documents/IEAGraduateAttributesandProfessionalCompetencies2021.1Sept2021.
pdf (https://www.ieagreements.org/)

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How this paper will be taught

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This course comprises lectures and laboratory sessions.

There will be two one-hour lecture on Tuesday at 12:00pm and Friday at 11:00pm.

Each lab is designed having two parts. Each week students are supposed to complete one part of lab within four hours of lab session Labs will be supervised and assessed in the laboratory with short interview. Labs are scheduled on Monday at 11 am and Wednesday at 11am (It is flexible).

The final project will involve a written report and a presentation ( due on Week 14).

The two tests will take place in scheduled laboratory times, but will be written tests. Both the test will be closed book and may involve short calculation. Students may require to use non-programable scientific calculator for tests.

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Required Readings

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There are no preassigned readings

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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Configuration of a micro-grid in order to gain and utilise the knowledge of its operation Strategy. [WA6]
    Linked to the following assessments:
  • Construct digital twins in modelling and operation of a smart micro-grid and thus exploit knowledge of electric grid. [WA3, WA4, WA5,WA6]
    Linked to the following assessments:
  • Design and build systems using IoT , sensors and computing devices to achieve real time responsiveness in the energy grid. [WA1, WA4]
    Linked to the following assessments:
  • The acknowledgement and evaluation of the human dimension to living and interacting with the size of a smart micro-grid. [WA6]
    Linked to the following assessments:
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Assessments

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How you will be assessed

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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.

Samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.

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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
19 Jul 2023
3:00 PM
10
  • In Class: In Lab
2. Lab 2: Data gathering
2 Aug 2023
3:00 PM
10
  • In Class: In Lab
3. Lab 3: Measuring and controlling real appliances
16 Aug 2023
3:00 PM
10
  • In Class: In Lab
4. Test 1: IoT and Grids
11 Sep 2023
9:00 AM
15
  • Other: In-class test. Room to be advised.
✔
5. Lab 4: Battery state-of-charge (also diary intro)
13 Sep 2023
3:00 PM
10
  • In Class: In Lab
6. Test 2: Covering material from the whole paper
16 Oct 2023
9:00 AM
25
  • Other: In-class test. Room to be advised.
✔
7. Project: Micro-grid with digital twin
13 Oct 2023
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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