Spatial‐Temporal Analysis of ‘Power Drought’ Under Compound Dry‐Hot Events for Renewable Power Systems
ABSTRACT In recent years, compound dry‐hot events have significantly impacted human society, particularly affecting the source and load sides of the power system. With the increasing penetration of renewable energy, these events pose growing challenges to power supply‐demand balances. Therefore, this paper proposes the concept of ‘power drought’ for the first time to quantify the severity of supply‐demand imbalances and identify their spatial‐temporal evolution under compound dry‐hot events. The analysis begins by examining the coupling between meteorological parameters, renewable energy output and load demand under compound dry‐hot events. Specifically, the concept of power drought is defined, followed by the formulation of relevant evaluation metrics. Then, a spatial‐temporal clustering algorithm and a centroid migration model are applied to analyse the evolution characteristics of power drought events. Finally, the validity and practicality of the proposed method are demonstrated using practical data from a certain region to analyse the evolution of power drought over the past decade. Case studies reveal a south‐westward migration of power drought centroids, with 66.49% of grids showing positive correlation between the standardised compound event index and the power drought index.
Authors
- Bo Zhou (ORCID: https://orcid.org/0000-0002-5506-2423)
- X. L. Wang (ORCID: https://orcid.org/0009-0002-7976-9850)
- Xiaoyan Bian (ORCID: https://orcid.org/0000-0002-0892-2128)
- Tingting Wang (ORCID: https://orcid.org/0000-0001-6983-6314)
- Jiawei Zhang (ORCID: https://orcid.org/0000-0002-8634-1687)
- Shunfu Lin
Institutions
- Shanghai University of Electric Power (CN)
- Shanghai Electric (China) (CN)
Publication Details
- Journal
- IET Renewable Power Generation
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/rpg2.70120
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanghai University of Electric Power
- State Grid Zhejiang Electric Power Company