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Article

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

by 1,2, 2, 2,* and 3,*
1
China Electric Power Planning & Engineering Institute, Beijing 100120, China
2
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
3
Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: J. C. Hernandez
Sustainability 2022, 14(5), 2656; https://doi.org/10.3390/su14052656
Received: 19 December 2021 / Revised: 17 February 2022 / Accepted: 22 February 2022 / Published: 24 February 2022
(This article belongs to the Special Issue Challenges and Innovations in Low-Carbon Energy)
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. View Full-Text
Keywords: power system transition; flexibility resources; multiple uncertainties; data-driven; high renewable penetration power system transition; flexibility resources; multiple uncertainties; data-driven; high renewable penetration
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MDPI and ACS Style

Li, H.; Qiao, Y.; Lu, Z.; Zhang, B. Power System Transition with Multiple Flexibility Resources: A Data-Driven Approach. Sustainability 2022, 14, 2656. https://doi.org/10.3390/su14052656

AMA Style

Li H, Qiao Y, Lu Z, Zhang B. Power System Transition with Multiple Flexibility Resources: A Data-Driven Approach. Sustainability. 2022; 14(5):2656. https://doi.org/10.3390/su14052656

Chicago/Turabian Style

Li, Hao, Ying Qiao, Zongxiang Lu, and Baosen Zhang. 2022. "Power System Transition with Multiple Flexibility Resources: A Data-Driven Approach" Sustainability 14, no. 5: 2656. https://doi.org/10.3390/su14052656

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