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Curtin University
Courses Handbook 2015

This handbook contains information on courses and components (majors, minors, streams and units) at Curtin in 2015.
Information for the previous year's courses and units is available at Courses Handbook 2014.

ELEN4003 (v.1) Power System Optimisation

Area: Department of Electrical and Computer Engineering
Credits: 25.0
Contact Hours: 5.0
TUITION PATTERNS: The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline.
Lecture: 1 x 2 Hours Weekly
Computer Laboratory: 1 x 2 Hours Weekly
Tutorial: 1 x 1 Hours Weekly
Equivalent(s): 311310 (v.2) Power System Optimisation 401 or any previous version
UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline.
Syllabus: Introduction to electricity market (approximately 2 lectures) : market model; open access, grid connection system issues; energy trading; distributed generation, pricing, bids and clearance, need for forecasting; vertically verses horizontally integrated systems; distributed generation network reconfiguration & optimisation (approximately 1 lecture): review of transmission and distribution networks; evaluation of distribution loss; loss minimisation techniques; loss optimisation and network configuration; reliability modelling (approximately 3 lecture): markov models; load duration curve (Annually and weekly); generation capacity ontage; loss of load probability; expected energy not served; unit Commitment and Economic despatch (approximately 3 lectures): lagrange multiplier and gradient search techniques; incremental cost/heat rate; transmission loss modeling; dynamic programming approach to economic dispatch; forecasting model (approximately 3 lecture): Box-Jenkins and time series models; Artificial Intelligent model, Genetic Algorithms, Aritificial Neural Network; econometric and socio-economic models; applications to electricity demand forcasting (daily, weekly, monthly peak load); energy forecasting; substation loads.
Field of Education: 031301 Electrical Engineering
Result Type: Grade/Mark


Availability

Year Location Period Internal Partially Online Internal Area External Central External Fully Online
2015 Miri Sarawak Campus Semester 1 Y        

Area External refers to external course/units run by the School or Department or offered by research.

Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area

Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External

Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External


Handbook

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