Journal article
Power Systems Optimization under Uncertainty: A Review of Methods and Applications
University of Wisconsin-Madison1
Skolkovo Institute of Science and Technology2
National Technical University of Athens3
Georgia Institute of Technology4
Department of Wind and Energy Systems, Technical University of Denmark5
Power and Energy Systems, Department of Wind and Energy Systems, Technical University of Denmark6
Energy Markets and Analytics, Power and Energy Systems, Department of Wind and Energy Systems, Technical University of Denmark7
Ohio State University8
Electric power systems and the companies and customers that interact with them are experiencing increasing levels of uncertainty due to factors such as renewable energy generation, market liberalization and climate change. This raises the important question of how to make optimal decisions under uncertainty.
This paper aims to provide an overview of existing methods for modeling and optimization of problems affected by uncertainty, targeted at researchers with a familiarity with power systems and optimization. Furthermore, we provide a review of some important applications of optimization under uncertainty in power systems, as well as an outlook to future directions of research.
| Language: | English |
|---|---|
| Year: | 2023 |
| Pages: | 108725 |
| Proceedings: | XXII Power Systems Computation Conference |
| ISSN: | 18732046 and 03787796 |
| Types: | Journal article |
| DOI: | 10.1016/j.epsr.2022.108725 |
| ORCIDs: | Kazempour, Jalal and 0000-0002-4080-1828 |
Chance-constrained optimization Electric power system Robust optimization SDG 13 - Climate Action SDG 7 - Affordable and Clean Energy Stochastic optimization
