Power System Transition with Multiple Flexibility Resources: A Data-Driven Approach

Hao Li, Ying Qiao, Zongxiang Lu and Baosen Zhang
Additional contact information
Hao Li: China Electric Power Planning & Engineering Institute, Beijing 100120, China
Ying Qiao: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Zongxiang Lu: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Baosen Zhang: Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA

Sustainability, 2022, vol. 14, issue 5, 1-25

Abstract: Power systems are transitioning toward having high shares of variable renewable energy (VRE) with the help of flexibility resources. However, multiple flexibility resources on the generation, storage and demand sides introduce multiple technical and economic uncertainties, making the transition hard to predict. Moreover, the benefit of these resources in the transition is unclear. To fill these gaps, this paper proposes a data-driven approach to explore the transition to a high VRE share-oriented power system with multiple flexibility resources. This approach generates a wealth of possible transition paths under multiple uncertainties and then uses them to quantitatively analyze the transition. Specifically, the proposed method includes principal component analysis-based path visualization, multiple index-based transition milestone identification, cluster and distance calculation-based key influential factor identification, marginal index-based flexibility resource benefit comparison and Pareto frontier-based path recommendation. Case studies based on the Northwest China power system, which involves wind, photovoltaics and concentrated solar plants, validate the effectiveness of the proposed approach and further indicate that flexibility resources increase rapidly with the growth of the VRE share. Of the multiple flexibility resources, storage contributes the most. Key influential factors include the capital cost of VRE and storage along with coal price. These factors should be the focus in a low-cost and low-carbon transition.

Keywords: power system transition; flexibility resources; multiple uncertainties; data-driven; high renewable penetration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/5/2656/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/5/2656/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:5:p:2656-:d:757770

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().