Abstract
Fully exploiting the complementary characteristics of wind and solar energy is widely regarded as a crucial means to mitigate the volatility of renewable energy output. Existing complementarity assessment methods predominantly focus on the fluctuation cancellation of generation-side output while overlooking the dynamic characteristics of the load side, making it difficult to accurately reflect the systemic value of wind-solar complementarity in terms of source-load matching. To address this, this paper proposes a wind-solar complementarity evaluation metric that incorporates load demand and analyzes its effectiveness across different temporal scales. Compared with traditional complementarity assessment indicators, the proposed method more accurately characterizes the complementary effects of wind and solar resources within the context of actual supply and demand dynamics, providing robust support for the optimal planning and dispatch of future high-penetration renewable energy systems.
| Original language | English |
|---|---|
| Title of host publication | 2026 16th International Conference on Power, Energy, and Electrical Engineering, CPEEE 2026 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 489-493 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798331561192 |
| DOIs | |
| State | Published - 2026 |
| Externally published | Yes |
| Event | 16th International Conference on Power, Energy, and Electrical Engineering, CPEEE 2026 - Osaka, Japan Duration: 6 Mar 2026 → 8 Mar 2026 |
Publication series
| Name | 2026 16th International Conference on Power, Energy, and Electrical Engineering, CPEEE 2026 |
|---|
Conference
| Conference | 16th International Conference on Power, Energy, and Electrical Engineering, CPEEE 2026 |
|---|---|
| Country/Territory | Japan |
| City | Osaka |
| Period | 6/03/26 → 8/03/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- frequency segmentation
- load demand
- multiple Time Scales
- wind-Solar complementarity
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