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EE5410 - Renewable System Integration

Credit points: 3
Year: 2020
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

This subject develops a foundation for pursuing electrical engineering oriented research in the area of sustainable electric energy systems. This subject aims to introduce the concepts behind smart grid technologies, future low-carbon networks, sustainable electricity systems as well as the main renewable and low-carbon generation technologies. The subject will introduce students to tools and techniques so that distributed energy resources (e.g. distributed renewable generation, storage, small scale such as electric vehicles and utility-scale, demand response, peak demand shifting, etc.) may be integrated effectively into the power system in the context of both traditional grids and future smart grids.

Learning Outcomes

  • discuss the importance of active distribution networks, smart grids, role of smart meters for demand side management and beyond the meter smart appliances; role of low-carbon technologies in future distribution networks and low-carbon electricity systems;
  • calculate utility benefits and customers benefit from smart grids;
  • compare the main characteristics and basic operation of distributed energy resources and micro-grid systems;
  • analyse the steady-state operation of distribution networks and power systems with low-carbon technologies;
  • assess the techno-economic impact of wind power and Solar Photovoltaic (PV) generation on distribution networks and power system operation and planning;
  • analyse cost and benefits of different technological alternatives to support low-carbon power system operation and development;
  • describe the important benefits of EV in helping the electricity network during peak demand periods;
  • use power system analysis software.

Subject Assessment

  • Invigilated > End of semester exam - (50%)
  • Invigilated > Quizzes or tests - (10%)
  • Non-Invigilated > Assignments - (20%)
  • Practicals - (20%).
Prerequisites: EE5500 AND EE5310

Availabilities

Townsville, Internal, Study Period 1
Census Date 26-Mar-2020
Coordinator: Assoc. Professor Ahmad Zahedi
Lecturers: Dr Kenny Leong, Assoc. Professor Ahmad Zahedi.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 39 hours lectures
  • 13 hours tutorials
  • 13 hours practicals
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.