This course offers a brief exploration of power system optimization, aiming to provide participants with a fundamental understanding of optimization principles, techniques, and practical solutions. It begins by providing participants with an overview of how optimization works and its diverse types, enabling them to gain insight into how to strategically apply optimization tools and techniques to enhance the power system's efficiency and performance.
Seminar Description
In this course, conventional and novel optimization techniques are compared, offering a nuanced understanding of their applications and implications for different power system operation and planning objectives. Participants will also become familiar with one of the advanced optimization concepts developed and modeled by a Princeton University professor emeritus, Dr. Warren Powell, and their team, called Sequential Decision Analytics, examining its role and applications for making informed decisions regarding power system operation and planning.
By the end of the course, participants will be equipped with a well-rounded knowledge of power system optimization, its foundational principles, and the latest techniques and solutions available including sequential decision analytics. Individuals seeking to enhance their expertise in optimizing power systems for optimal performance and efficiency can find this course useful as it explores both traditional and novel optimization techniques.
Objectives
Upon completion of this course, participants will:
- Gain a foundational understanding of power system optimization principles, including types, techniques, and tools
- Explore the differences between conventional and novel optimization techniques, gaining insights into their applications and implications in power system operation and planning
- Gain fundamental knowledge of sequential decision analytics and its applications for better decision-making
- Equip participants with the basic knowledge and skills necessary to enhance power system efficiency and performance through the employment of proper optimization techniques, tools, and solutions