Introduction

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
engineering.

Curriculum Overview

Programme Structure

- Steady-state Power System Networks
- Network Components
- Stability Analysis
- Power System
- Control

Entry Requirements

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

Duration & Intake

Programme Duration

Programme Duration
Date(s): 12 Aug 2019 to 6 Dec 2019
Time: Refer to Class and Exam Schedules
Venue:  LT24
Closing Date of Registration: 16 June 2019
 

Fees & Funding