Advanced Power System Optimization Using Sequential Decision Analytics

Dr. Moein Manbachi

P.h.D., P.Eng., SMIEEE | Project Leader

Dr. Moein Manbachi is a Project Leader with the Smart Microgrid Applied Research Team (SMART) within the Centre for Applied Research and Innovation of BC Institute of Technology in Vancouver. He was formerly a Post-doctoral Fellow at the Department of Electrical and Computer Engineering, University of British Columbia .

Dr. Manbachi holds a Ph.D. degree in Mechatronic Systems Engineering from Simon Fraser University and has over 15 years of experience in academia, industry, and R&D in the areas of power systems and critical energy ifrastructure cybersecurity. He was the author/co-author of more than 50 technical papers published in high-ranked journals and conference proceedings.

Dr. Manbachi is an IEEE senior member and an active member of CIGRE (membership through BCIT institute) and Engineers and Geoscientists of British Columbia. His main research areas include, but are not limited to, smart grids, advanced substation automation systems, critical energy infrastructure cybersecurity, power system optimization, and applications of digital twin technologies in power systems.

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