ELEC5211: Semester 1, 2022

University home

Library

Current students

Staff intranet

Find an event

Give

Current students

Units ELEC5211 Semester 1 2022 [Normal day]

Unit of study_

ELEC5211: Power System Dynamics and Control

Semester 1, 2022 [Normal day] - Remote

Overview

The unit deals with power systems modelling, analysis and simulation under dynamic conditions. The unit will cover the following topics: The links between power system steady state analysis and transient analysis; Basics of dynamic system in general and stability analysis methods; Analysis of power systems subject to electromagnetic and electromechanical transients. Power system modelling for stability analysis and electromagnetic transients analysis: Synchronous machine modelling using Park's transformation; Modelling of excitation systems and turbine governors; Modelling of the transmission system; Load modelling. Simulation of interconnected multi-machine systems; Stability analysis- Transient stability, Small signal stability, Voltage stability; Power system control: Voltage control, Power system transient stability control, Power system dynamic stability control, Emergency control; The unit is a specialist Unit for MPE (Power and Electrical) and ME (Power and Electrical). It is also available as a recommended elective for BE Electrical (Power).

Unit details and rules

Unit code	ELEC5211
Academic unit	Electrical and Information Engineering
Credit points	6
Prohibitions ?	None
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	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
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Jin Ma, j.ma@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Record+)	Final Exam Online open book exams.	55%	Formal exam period	2 hours
Outcomes assessed:
Assignment	Lab Complete the lab and submit the report	20%	Week 10	N/A
Outcomes assessed:
Assignment	Project Complete the project and submit the project report	25%	Week 13	N/A
Outcomes assessed:
= group assignment ? = Type B final exam ?

Assessment summary

Final Exam: Individual based 2-hour open book exam to test students’ understandings on the knowledge and the problem solving skills
Lab: Practical group work to carry out the power system steady state and dynamic analysis for a Single Machine Infinite Bus system.
Project: Build a model of a multi-machine power system and analyse its dynamic behavior using simulation methods.

Minimum Performance Criteria: The WAM of all assessment components reaches 50 marks.

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.

For more information see 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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

10% daily for late submission on lab report and project report.

Academic integrity

The Current Student website provides information on academic integrity 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 integrity breaches seriously.

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

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	A general introduction to this Unit of Study and to power system dynamics and control including the definition of power system dynamics and stability, mathematical interpretation as well as physical interpretation of power system dynamics and stability, a history review on power system dynamics and stability, the classification of the power system stability, and the connections of power system dynamics with other research areas in power system operation and control.	Lecture (2 hr)
Week 02	Fundamentals of dynamical systems in general especially on modeling, equilibrium and transients with respective applications.	Lecture (2 hr)
Week 03	Introduction to stability analysis methods on dynamic systems	Lecture and tutorial (3 hr)
Week 04	Per unit system; Power flow and its solution; Modeling transmission Network in dynamic studies.	Lecture and tutorial (3 hr)
Week 05	Introduction to power system dynamic modeling, Analysis on the electric field and the magnetic field of the generator; Modelling generator in three-phase coordinates; Park transformation; The flux linkage equations and the voltage equations of the generator after Park transformation.	Lecture and tutorial (3 hr)
Week 06	Dynamics at different time scales. Dynamic analysis in frequency domain; Operational parameters.	Lecture and tutorial (3 hr)
Week 07	Equation of Motion; Generator models in stability analysis with different accuracy.	Lecture and tutorial (3 hr)
Week 08	Single Machine Infinite Bus (SIMB) power system dynamic analysis and control (I)	Lecture and tutorial (3 hr)
Week 09	Single Machine Infinite Bus (SIMB) power system dynamic analysis and control (II)	Lecture and tutorial (3 hr)
Week 10	Multi-machine power system dynamic analysis and control (I)	Lecture and tutorial (3 hr)
Week 11	Multi-machine power system dynamic analysis and control (II)	Lecture and tutorial (3 hr)
Week 12	Multi-machine power system dynamic analysis and control (III)	Lecture and tutorial (3 hr)
Week 13	Multi-machine power system dynamic analysis and control (IV)	Lecture and tutorial (3 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.

Required readings

The lecture notes are developed upon combination of a few references and self-contained for this UoS.

Reading the following books can be helpful in understanding the power system dynamics, stability and control, but is not compulsory.

P. Kundur, Power System Stability and Control. New York, McGraw-Hill, Inc., 1994. 978-0070359581
P.M.Anderson, A.A.Fouad, Power System Control and Stability, IEEE Press, 2003, 0-471-23862-7

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 stability concepts and analysis methods in general and their specific applications in power system stability analysis and control
LO2. demonstrate a deep understanding on power system modelling for stability analysis
LO3. demonstrate a deep understanding of power system behaviour under transient conditions
LO4. analyse transient behaviour of power systems based on rigorous mathematical tools
LO5. apply simulation tools to analyse power systems under transient conditions and to design the controls to enable stable and secure power system operation.
LO6. work in a team by assuming diverse roles, aiding or initiating the process of team interaction and drawing on and being receptive to others' viewpoints, to try and solve a specific engineering task
LO7. investigate inquiries and develop knowledge by drawing on a vast source of professional documents in various formats, and synthesising the information to solve a specific engineering problem
LO8. present concise information accurately using varied formats and media to a level appropriate to the expected understanding from this unit of study
LO9. write a report to communicate complex project specific information concisely and accurately and to the degree of specificity required by the engineering project at hand

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

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Based on the students' feedback from USS, the lab and the project sessions are set in total for 6 weeks and the time arrangements are flexible, so the students who feel difficult in programming can get help. Tutorial questions will be updated.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect