- Code ENGN8527
- Unit Value 6 units
- Offered by Research School of Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Academic career Postgraduate
- Dr Evan Franklin
- Mode of delivery In Person
First Semester 2018
See Future Offerings
Grid Integration of Renewable Energy
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 most suitable for electrical engineers or systems engineers with strong electrical or renewable energy backgrounds.
By the end of the course students should:
- Have knowledge of the competing demands and requirements of the various electrical power network stakeholders – generators, network operators, retailers, government, consumers, project developers.
- Understand complex 3-phase power networks, analysis techniques and load flow calculations and modelling
- Understand the theory and operation of electrical power networks, including generation, transmission and distribution
- Be aware of the operation and control of large electrical power networks containing renewable energy generation, including power regulation, frequency and voltage control, reactive power compensation and power quality and reliability
- Understand how renewable generation and distributed storage interacts with and is integrated into the power network
- Understand how electricity markets operate and their interaction with the physical network
- Understand how the NEM is operated and managed, including both energy and ancillary services markets, and the implications for renewable generation and energy storage
- Understand the basics of smart grid technologies containing distributed generation and storage, and future power network operations and opportunities
Upon completion of this course, students will have the knowledge and skills to:
- Describe electrical power network operations and control, and the challenges and opportunities for distributed generation.
- Assess renewable energy applications and projects in the context of integration into both the physical and economic electricity markets.
- Describe the principals and requirements of the next generation future power network (or smart grid), incorporating distributed generation and storage and demand management.
- Understand the basic principles, power and limitations of computer modelling of complex power networks incorporating distributed generation and storage.
- Assignments and quizzes: 10%
- Lab and Site Reports: 25%
- Major Assignment: 25%
- Final exam: 40%
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WorkloadWill be run as ENGN8831 in 2017
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:
- Band 2
- 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.
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery|
|3773||19 Feb 2018||26 Feb 2018||31 Mar 2018||25 May 2018||In Person|