- Code ENGN8831
- Unit Value 6 units
- Offered by Research School of Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Engineering, Renewable Energy, Solar Energy, Energy Change
- Academic career PGRD
- Dr Paul Scott
- Mode of delivery In Person
First Semester 2018
See Future Offerings
This course aims to provide a strong understanding of power systems, their operation and control and particularly of issues related to the integration of distributed renewable generation into the network. The content focuses on technical aspects of traditional and renewable electrical power generation, power transmission and distribution, power network stability, management and control, electricity market operations and smart grid technologies with particular emphasis on the integration of renewable generation onto the network at both transmission and distribution level and the challenges and opportunities associated with that. A solid basis in the understanding of future power networks with distributed generation, storage and smart grid technology is given. The course is suitable for electrical engineers or systems engineers with strong electrical or renewable energy backgrounds.
Upon successful completion, students will have the knowledge and skills to:
On successful completion of this course, students should be able to:
Apply advanced knowledge of electrical power system operations and control to analyse the challenges and opportunities for distributed renewable generation in both large interconnected grid and microgrid settings.
Assess renewable energy applications and projects in the context of integration into both the physical and economic electricity markets.
Describe the principles and requirements of the next generation future power network (or smart grid), incorporating distributed generation and storage and demand management.
Understand the principles, power and limitations of computer modelling of complex power networks incorporating distributed generation and storage.
Professional Skills Mapping
Mapping of Learning Outcomes to Assessment and Professional Competencies
- Labs and Assignments (25%)
- Online Quizzes (10%)
- Major Project (30%)
- Final Exam (35%)
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Workload2 x 2 hour lecture / workshop sessions per week, 1 tutorial per week for most weeks, plus a combination of guest lectures, site visits and computer and hardware labs throughout the semester. A workload of approximately 10 hours per week is expected for this course.
There is no prescribed text for the course but the following are recommended reading:
- Electric Power Systems - A First Course, Ned Mohan, 2012
- Electrical Power System Essentials, Pieter Schavemaker, 2008
- Integration of Distributed Generation in the Power System, Math Bollen, 2011
- Various papers, made available during the course where appropriate
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|4837||19 Feb 2018||27 Feb 2018||31 Mar 2018||25 May 2018||In Person||N/A|