A framework for estimating flexible resources according to future Korean renewables scenario: Robust optimization approach considering multiple uncertainties
- Authors
- Jeong, Jinwoo; Lee, Byongjun
- Issue Date
- 6월-2020
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Robust optimization; Power system flexibility; Energy storage system; Renewable energy; Uncertainty
- Citation
- INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v.118
- Indexed
- SCIE
SCOPUS
- Journal Title
- INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Volume
- 118
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/55555
- DOI
- 10.1016/j.ijepes.2019.105728
- ISSN
- 0142-0615
- Abstract
- This study presents a robust optimization model to secure flexibility under a high penetration of renewable energy systems in a future grid. An increase in renewable energy into a power system causes difficulties and complexities with regard to power system planning and operation owing to an increase in uncertainty. This trend can create an issue in the flexibility of a power system under a high penetration of renewable energy. To acquire sufficient flexibility, numerous flexible resources such as conventional generators with a ramping capability, energy storage systems and demand response program should be procured. Herein, we propose estimating the flexible resource capacity required to prevent a flexibility deficit when considering multiple uncertainties such as the effective capacity and 1-min power fluctuation rate of the renewable energy systems. To solve this problem, including uncertainties, through an optimization technique, we adopt a robust optimization to deal with uncertainty by constructing an uncertainty set and provide a robust solution considering the worst case within such a set. The robust optimization model was tested using data from the Korean electric power system for the year 2030. In addition, the results from a robust optimization are compared with the results from a deterministic approach.
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