The goal of this course is to equip graduate students with advanced knowledge and skills in modern power system operation, focusing on key aspects such as characteristics of power generation units, economic dispatch, and unit commitment. The course will delve into linear and nonlinear programming techniques, providing a comprehensive understanding of their application in optimizing electric power systems. The course will introduce topics such as hydrothermal coordination, interchange evaluation, power pools, forecasting techniques, and the implications of deregulation. Moreover, it allows students to gain the expertise to analyze, model, and optimize complex power systems in evolving industry practices and deregulated markets.
MATLAB
Upon successful completion of this course, students will be able to:
(1) Evaluate the significance of economic/financial dimensions of the power system operation/planning due to deregulated energy markets,
(2) Apply basic conventional economic dispatch, unit commitment, hydro-scheduling, and operation planning techniques to simple electricity industry problems,
(3) Describe power interchange schemes, power pools, transmission effects, and the operation of electric markets,
(4) Evaluate the latest developments and applications of smart grid and microgrid concepts,
(5) Apply techniques to forecast load demand, wind and solar generation,
(6) Analyze the opportunities and challenges that emerging distributed energy resources pose for future electricity industry operation and control.
Kirchmayer, L. K. (1958). Economic Operation of Power Systems. 1st Ed., John Wiley & Sons Inc.
Test/Exam (55%), Case Studies / Homework (25%), Project (20%)
| Workload | Hrs |
|---|---|
| Lectures | 42 |
| Course Readings | 30 |
| Exams/Quizzes | 60 |
| Resource Review | 20 |
| Report on a Topic | 30 |
| Case Study Analysis | 30 |
| Oral Presentation | 13 |