Power Engineering

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The Power Engineering specialisation focuses on the areas of power systems, power electronics, control engineering, energy systems and management.

It builds on foundations in physics, mathematics, computer science and electrical engineering principles to explore the generation, transmission, distribution and utilisation of electricity as well as the design of a range of related devices.

Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

Power Engineering specialisation (Combined Degree)

Students complete 36 credit points to achieve this specialisation.
Students complete 30 credit points from the following:
ELEC3203
Electricity Networks
6    A This unit of study assumes a competence in 1000 level MATH (in particular, the ability to work with complex numbers), in elementary circuit theory and in basic electromagnetics
Semester 1
ELEC3204
Power Electronics and Applications
6    A 1. Differential equations, linear algebra, complex variables, analysis of linear circuits. 2. Fourier theory applied to periodic and non-periodic signals. 3. Software such as MATLAB to perform signal analysis and filter design. 4. Familiarity with the use of basic laboratory equipment such as oscilloscope, function generator, power supply, etc. 5. Basic electric circuit theory and analysis
P ELEC2104
Semester 1
ELEC3206
Electrical Energy Conversion Systems
6    A Following concepts are assumed knowledge for this unit of study: familiarity with circuit theory, electronic devices, ac power, capacitors and inductors, and electric circuits such as three-phase circuits and circuits with switches, the use of basic laboratory equipment such as oscilloscope and power supply
P ELEC3203
Semester 2
ELEC3304
Control
6    A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, Physics; solution of linear differential equations, Matrix Theory, eigenvalues and eigenvectors; linear electrical circuits, ideal op-amps; continuous linear time-invariant systems and their time and frequency domain representations, Laplace transform, Fourier transform
P ELEC2302 AND (MATH2061 OR MATH2067 OR MATH2021 OR MATH2961 OR AMME2000)
N AMME3500
Semester 2
ELEC5204
Power Systems Analysis and Protection
6    A (ELEC3203 OR ELEC9203 OR ELEC5732) AND (ELEC3206 OR ELEC9206 OR ELEC5734). The unit assumes basic knowledge of circuits, familiarity with basic mathematics, competence with basic circuit theory and an understanding of three phase systems, transformers, transmission lines and associated modeling and operation of such equipment
Semester 1
Students complete 6 credit points from the following:
ELEC5203
Topics in Power Engineering

This unit of study is not available in 2022

6    A Competence with linear algebra, differential calculus, numerical methods and Matlab; basic programming skills (Python or Matlab); familiarity with basic physics
Semester 2
ELEC5205
High Voltage Engineering

This unit of study is not available in 2022

6    A The following previous knowledge is assumed for this unit. Circuit analysis techniques, electricity networks, power system fundamentals.
P (ELEC3203 OR ELEC9203 OR ELEC5732) AND (ELEC3206 OR ELEC9206 OR ELEC5734)
Semester 2
ELEC5206
Sustainable Energy Systems
6    A A background in power electronics converters and control theory such as that covered in ELEC3204/9204 and ELEC3304/9304 is assumed
Semester 2
ELEC5207
Advanced Power Conversion Technologies
6    A ELEC3204
Semester 2
ELEC5208
Intelligent Electricity Networks
6    A Fundamentals of Electricity Networks, Control Systems and Telecommunications
Semester 1
ELEC5211
Power System Dynamics and Control
6    A ELEC3203 OR ELEC9203 OR ELEC5732. The assumed knowledge for learning this UoS is a deep understanding on circuit analysis and its applications in power system steady state analysis
Semester 1
ELEC5212
Power System Planning and Markets
6    A ELEC3203 OR ELEC9203 OR ELEC5732. The assumed knowledge for learning this UoS is power system steady state analysis
Semester 2
ELEC5213
Engineering Optimisation
6    A Linear algebra, differential calculus, and numerical methods. Competency at programming in a high-level language (such as Matlab or Python)
Semester 1
Units taken for the specialisation will also count toward requirements of the Electrical stream.