Course Title: Smart Grids

Part A: Course Overview

Course Title: Smart Grids

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

EEET2614

City Campus

Postgraduate

172H School of Engineering

Face-to-Face

 Sem 1 2022,
Sem 2 2023,
Sem 1 2025

Course Coordinator: Dr Kazi Hasan

Course Coordinator Phone: +61 3 9925 2238

Course Coordinator Email: kazi.hasan@rmit.edu.au

Course Coordinator Location: 10.11.12

Course Coordinator Availability: Appointment by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

Assumed Knowledge

EEET2106 / EEET2339 Power System Analysis and Control

The student should have a broad scientific and engineering background, sound knowledge of mathematics and statistics, and basic understanding of the operation of electrical power systems.


Course Description

This course provides theoretical insight and operational aspects of evolving electrical power grid with new types of generation resources, load components, telecommunication facilities, control architectures, data analytics, cyber security and protection requirements.

This course covers the basic aspects of smart grid components that include smart grid framework, smart generation, transmission, and distribution, smart grid communication and protection, smart cities, buildings and homes, and smart grid markets. The emphasis is on the smart grid enabling technologies that includes relevant theory, analysis, grid code and practical examples of demand response, electric vehicles, microgrids, and virtual power plants in the context of smart power systems.


Objectives/Learning Outcomes/Capability Development

This course contributes to the program learning outcomes for the following program(s):  

PLO 1. Demonstrate an advanced and integrated understanding of engineering theories, principles and concepts within multi-disciplinary engineering practice ​
PLO 2. Demonstrate an advanced and integrated understanding of specialist bodies of knowledge within the engineering discipline
PLO 3. Demonstrate advanced and integrated knowledge of the scope, principles, norms, accountabilities, and bounds and a critical appreciation of trends in contemporary practice, sustainability, research and innovation in the engineering discipline.
PLO 4. Apply advanced knowledge of established engineering methods in the analysis of complex problems in the engineering discipline
PLO 5. Utilise advanced mathematics, software, tools and techniques, in the conduct of research into the design and analysis of complex engineering systems
PLO 8. Communicate engineering designs and solutions respectfully and effectively, employing a range of advanced communication methods in interpreting and transmitting knowledge, in an individual or team environment, to diverse audiences.​​
PLO 9. Demonstrate the capacity for personal accountability, professional and ethical conduct, intellectual independence, cultural sensitivity, autonomy, adaptability, and critical reflection on own learning and career ​​ when undertaking engineering projects
PLO 11. Collaborate and contribute as an effective team member or leader in diverse specialist and multi-disciplinary teams, with commitment to First Nations peoples and/or globally inclusive perspectives and participation in an engineering context.​

For more information on the program learning outcomes for your program, please see the program guide.  


Upon successful completion of this course, you will be able to:  

CLO1 Critique smart grid power system architecture using advanced theoretical, operational and outcomes perspectives. 
CLO2 Articulate smart grid communication and protection concepts for managing contemporary structural and technological change in energy demand.
CLO3 Simulate demand response and electric vehicles to new and emerging large-power applications using mathematical and software techniques. 
CLO4 Justify microgrids/virtual power plants design and operation using theoretical principles and operational outcome requirements. 
CLO5 Evaluate the operation and components of smart cities, buildings, homes, and smart grid markets. 
CLO6 Critically self-reflect on improving technical and team dynamic performance through accountability, and professional and ethical conduct.


Overview of Learning Activities

The typical learning activities included in this course are:

  • Pre-recorded weekly lectures will introduce you to important principles and concepts.
  • The weekly tutorial classes will provide opportunities to apply a number of applicable numerical techniques used in practice to solve smart grid related problems.

Laboratory tasks that will help you to connect theory with practice and will reinforce the principles and concepts learned from the pre-recorded lecture materials. 


Overview of Learning Resources

The learning resources include:

  • Pre-recorded lecture videos and slides prepared and supplied by the academic staff.
  • Tutorial problems prepared and delivered by the academic staff.
  • Prescribed and recommended reference books and reading materials.
  • Simulation software to perform laboratory tasks.

Course materials are available through RMIT’s online systems.


Overview of Assessment

Assessment Tasks

Assessment Task 1: Laboratory Tasks, 30%, CLO3, CLO4, CLO5 and CLO6 
Assessment Task 2: Test (online), 20%, CLO1, CLO2 and CLO3 
Assessment Task 3: Test (online), 20%, CLO3, CLO4 and CLO5 
Assessment Task 4: Project Assignment, 30%, CLO1, CLO2, CLO3, CLO4, CLO5 and CLO6

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.