The course, developed by Case Western Reserve University (CWRU) and the Electric Power Research Institute (EPRI), teaches the fundamental principles which govern electricity market operation and pricing dynamics. Course participants will learn about the electrical power system infrastructure and reliability operation, and the locational marginal cost-based pricing mechanism underlying the wholesale electricity market design. Additional topics include market settlement, the capacity and Financial Transmission Right (FTR) markets, and management of generation portfolios by the load-serving entities. Impacts from integrating intermittent renewable generation, energy storage, and demand-side resources will also be discussed. Further, the CWRU has developed an online electricity market simulator that allows course participants to play realistic market clearing scenarios while acting as market participants. As a key component of the course, the interactive market simulation exercises supplement the course lectures with hands-on learning experience. Course participants will retain online access to the market simulator tool for six months after the course.
This course is intended for students and professionals who seek fundamental understanding of the wholesale electricity market design and operation. Course materials will be quantitative. Basic knowledge in electric circuit and microeconomics will be helpful but not a prerequisite. The course serves learning needs in academic institutions, business organizations and regulatory offices where a tangible knowledge about the electricity market is an essential part of study, business operation or policy decision making. In addition, this is a good way to get 16 hours toward your professional license - continuing education requirements.
For more information, contact EIDA@case.edu or call 216-368-0889
Workshops will be held at Case Western Reserve University on Tuesday, March 13-Wednesday, March 14 from 9 a.m.-5 p.m. and again on Monday, October 22-Tuesday, October 23 from 9 a.m.-5 p.m.
- Registration Fee: $1,200 per person
- 10% discount for an organization with three or more attendees
- 25% discount for university professors (valid University ID required to qualify for discount)
Mingguo Hong, Associate Professor, Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio
Dr. Hong received his Bachelor of Science degree in Electrical Engineering from Tsinghua University of China, Master of Science degree in Mathematics from the University of Minnesota, and Ph.D. degree in Electrical Engineering from the University of Washington. He worked in both the distribution and transmission sectors of the electric power industry for 14 years before joining the Case Western Reserve University (CWRU) as a faculty member. At the Mid-continent Independent System Operator (MISO), he was a key contributor to the award-winning Energy and Ancillary Services Market design and implementation. At CWRU, Dr. Hong also has developed and taught both power engineering and operation research courses. His research interests are in smart distribution systems, microgrids, and electricity markets.
Vincenzo Liberatore, Associate Professor, Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio
Dr. Liberatore holds a Laurea degree in Electrical Engineering from the University of Rome"La Sapienza" and a Ph.D. in Computer Science from Rutgers University. His previous appointments include a visiting position at Bell Labs, a research associate position at the University of Maryland, College Park, and senior software engineer position at Tokutek (now Percona). Prof. Liberatore has extensive publications in networking, theoretical computer science, and compilers. His current research interests are in the area of networked control systems and their applications to Internet robotics and to distributed simulations. Prof. Liberatore served on the program committees of the Workshop on Factory Communication Systems (WFCS), and the International Conference on Mobile Data Management (MDM).