ELEC5208: Semester 1, 2022

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Units ELEC5208 Semester 1 2022 [Normal day]

Unit of study_

ELEC5208: Intelligent Electricity Networks

Overview

This unit aims to give students an introduction to the planning and operation of modern electricity grids, also known as "smart" grids. Traditional power networks featured a small number of large base-load plants sending power out over transmission lines to be distributed in radial lower voltage networks to loads. In response to the need to reduce carbon impact, future networks will feature diverse generation scattered all over the network including at distribution levels. Also there will be new loads such as electric vehicles and technologies including energy storage and lower voltage power flow control devices. The operation of these new networks will be possible by much greater use of information and communication technology (ICT) and control over the information networks. The unit will cover recent relevant developments in energy technologies as well as important components of 'smart grids' such as supervisory control and data acquisition (SCADA), substation automation, remote terminal units (RTU), sensors and intelligent electronic devices (IED). Operation of these electricity grids requires a huge amount of data gathering, communication and information processing. The unit will discuss many emerging technologies for such data, information, knowledge and decision processes including communication protocols and network layouts, networking middleware and coordinated control. Information systems and data gathering will be used to assess key performance and security indicators associated with the operation of such grids including stability, reliability and power quality.

Details

Academic unit	Electrical and Information Engineering
Unit code	ELEC5208
Unit name	Intelligent Electricity Networks
Session, year ?	Semester 1, 2022
Attendance mode	Normal day
Location	Camperdown/Darlington, Sydney
Credit points	6

Enrolment rules

Prohibitions ?	None
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	Fundamentals of Electricity Networks, Control Systems and Telecommunications
Available to study abroad and exchange students	Yes

Teaching staff and contact details

Coordinator	Jing Qiu, jeremy.qiu@sydney.edu.au
Lecturer(s)	Jing Qiu , jeremy.qiu@sydney.edu.au
Administrative staff	Dr Rui Hong Chu

Type	Description	Weight	Due	Length
Final exam (Record+)	Final exam Closed book and online examination (Type B Exam with Proctor U)	40%	Formal exam period	2 hours
Outcomes assessed:
Assignment	Individual video assignment n/a	20%	Week 11 Due date: 12 May 2020 at 23:59	7 minutes video
Outcomes assessed:
Assignment	Individual project report Individual assignment report.	30%	Week 13 Due date: 26 May 2020 at 23:59	2000~3000 words
Outcomes assessed:
Assignment	Individual lab reports Two individual lab reports with hybrid face-to-face and online attendance.	10%	Week 13	N/A
Outcomes assessed:
= Type B final exam ?

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

Weekly schedule

WK	Topic	Learning activity
Week 01	Introduction to the conventional power distribution systems	Online class (2 hr)
Week 02	Power system basics (power flow problems, power system stability, major blackout, load modeling, generator modelling, and exciter modelling)	Online class (2 hr)
Week 03	Emerging technologies and renewable energy (wind and solar power, biomass, impacts, benefits and solutions)	Online class (2 hr)
Week 04	Battery energy storage system and electric vehicle	Online class (2 hr)
Week 05	Demand response (demand management, load following, load shaping, smart home management, virtual power plant)	Online class (2 hr)
Week 06	Control in smart grid (control principles, classical and modern control theories, centralised and distributed control, frequency and voltage control )	Online class (2 hr)
Week 07	SCADA, EMS/DMS, and smart grids	Online class (2 hr)
Week 08	Communication in smart grid (Smart meters, home area network, access network, backbone/core network, and data/control center)	Online class (2 hr)
Week 09	Computing in smart grid (intelligent optimisation algorithms, parallel computing, grid computing, cloud computing, big data analysis)	Online class (2 hr)
Week 10	Micro-grid (planning and operation of micro-grid)	Online class (2 hr)
Week 11	New market business model (trans-active energy, 'prosumer', distribution markets)	Online class (2 hr)
Week 12	Project Discussion and Feedback	Online class (2 hr)
Week 13	Project Discussion and Feedback/Brief discussion on future grid	Online class (2 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. understand the mathematical models of the power and information networks as part of a cyber-physical system in a ‘smart grid
LO2. explain and evaluate the system capability, stability, reliability from a smart grid perspective
LO3. model and analyse broadly and design substantial parts of state-of-the-art smart-grid systems while appreciating the issues for further developments
LO4. design and simulate decision and control systems for smart grid applications including volt-VAR control, FDIR, WAMS
LO5. demonstrate an understanding of concepts, selected analysis and design techniques in modern power systems, i.e. the interaction of large-scale generation, transmission and distribution including distributed generation, micro-grids and virtual power plants
LO6. undertake knowledge building by drawing on many and varied information sources specific to the power systems industry for new designs and solutions to problems
LO7. communicate specific design project material through proper engineering presentations and reports
LO8. make a substantial contribution to a team project where members have some overlapping and complementary skills.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Closing the loop

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Current students

Overview

Details

Enrolment rules

Teaching staff and contact details

Assessment

Assessment criteria

Late submission

Special consideration

Academic integrity

Weekly schedule

Study commitment

Learning outcomes

Graduate qualities

Outcome map

Closing the loop

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