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Course Detail

EE6511 Power System Modelling and Control
The objective of this course is to provide the attendees with comprehensive knowledge on power
system modeling and control. This would include modeling of power networks, generating units and
loads, the fundamental concept of power system stability and methods of analysis along with control
techniques for stability enhancement. Knowledge on advanced methods based on FACTS would also
be discussed. It also aims to equip the attendees with an in-depth understanding of the practical issues
related to the control of power systems and an awareness of the advanced modeling, analysis and
control techniques applicable to power systems.

The attendees of this course are expected to gain a sound understanding of the characteristics and
modeling process of synchronous machines and system loads in power system stability studies, their
uses in the design of controllers and development of techniques for assessment and improvement of
system performance under steady state, dynamic and transient conditions. The concepts of operation,
modeling and control of power electronics-based FACTS devices will also give the attendees an
understanding of how FACTS devices enhance power network performance. Case studies will
provide the attendees with an insight into the actual application of modeling and control techniques in
solving practical issues in power systems. The knowledge gained will also serve as an excellent
starting place for graduate students interested in carrying out research in various aspects of power
- Steady-state Power System Networks
- Network Components
- Stability Analysis
- Power System
- Control
Who Should Attend
This course is designed for graduate students and engineers in the electric power industry. It is also
intended for engineers who anticipate future involvement in this area. Prior knowledge of power
system analysis and control at the undergraduate senior level is expected.
Eligibility Criteria
At least 21 years of age
Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
At least a Bachelor's degree in Engineering and knowledge in semiconductor fundamentals and engineering mathematics
Date(s): 14 Jan 2019 to 10 May 2019
Time: Refer to Class and Exam Schedules
Venue: LT24
Closing Date of Registration: 18 Nov 2018
Course Fee Payable:(Inclusive of GST) Refer to the course fee table

E2I No
Academic Units (AU)
Number of AU: 3
Online Registration
Method of Payment
  1. Online Credit/Debit Card Payment (VISA and Mastercard only)
  2. Cash/Cheque/NETS payment at One-Stop@SAC (NTU Main Campus)
Withdrawal & Refund Policy
Once payment is made, applicant is committed to the completion of course. Course fee refunds will not be considered.
Terms and Conditions
  1. Course is subject to a minimum participation number before commencement.
  2. Course is subject to a first-come-first-serve basis.
  3. Registration is non-transferable.
  4. Student must meet all eligibility criteria for admission.
  5. Student is required to complete all assessments for each course.
  6. PaCE@NTU​ reserves the right to change or cancel any course or lecturer due to unforeseen circumstances.
  7. All details are correct at time of dissemination.
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