Unitcommitment.jl – An Open Source Julia Software Package to Accelerate Power System Research
Speakers
Dr. Feng Qiu
Principal Computational Scientist and Section Leader, Argonne National Laboratory.
Title
"Unitcommitment.jl – An Open Source Julia Software Package to Accelerate Power System Research"
Abstract
Unit commitment (UC) is one of the fundamental optimization problems in power system research, on which many essential grid applications are built, such as operations, planning, and markets. Many power system research projects involve the development of a UC model or its variant as a building block.
Currently, most researchers prefer to write their own UC codes and use public data with their own tweaks. Although this approach allows authors more control over the code, the disadvantages are significant: it wastes time on reinventing the wheel, does not incorporate the state-of-the-art UC models/algorithms, and makes it difficult to benchmark with other work due to differences in implementation and datasets.
In this work, we introduce an open-source Julia software package for UC-related research. The package not only implements state-of-the-art models/algorithms for UC problems but also provides great extensibility for secondary development and numerous test instances for benchmarking. This presentation will introduce the UC package and illustrate how it can be used to accelerate power system research.
About Speakers
Dr. Feng Qiu is a principal computational scientist and the group manager for the Advanced Grid Modeling, Optimization, and Analytics (AGMOA) and serves as the Lab Relationship Manager for the OE Advanced Grid Modeling program. AGMOA provides fundamental modeling and computing tools for power system research and solutions for operations, planning, cybersecurity, etc. Dr. Qiu received his PhD from the School of Industrial and Systems Engineering at the Georgia Institute of Technology in 2013.
He holds a BS in Automatic Control and an MS in Systems Engineering from Huazhong University of Science and Technology. He joined ANL in 2013. His current research interests include power system modeling and optimization, electricity markets, power grid resilience, and machine learning and data analytics.
He is a PI for a number of Department of Energy (DOE) projects from multiple DOE offices, including the Solar Energy Technology Office, Water Power Technology Office, and Office of Electricity, as well as projects from the National Science Foundation (NSF), among others. He also serves as the Lab Relationship Manager for the Office of Electricity Advanced Grid Modeling program. Additionally, he holds joint positions at Iowa State University as an Affiliate Associate Professor and at Northwestern University as a NAISE Fellow.