Author
Listed:
- Danwen Hua
(School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)
- Linjun Shi
(School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)
- Lingkai Zhu
(State Grid Shandong Electric Power Research Institute, Jinan 250003, China)
- Ziwei Zhong
(State Grid Shandong Electric Power Research Institute, Jinan 250003, China)
- Zhiqiang Gong
(State Grid Shandong Electric Power Research Institute, Jinan 250003, China)
- Junshan Guo
(State Grid Shandong Electric Power Research Institute, Jinan 250003, China)
- Wei Zheng
(State Grid Shandong Electric Power Research Institute, Jinan 250003, China)
Abstract
Traditional pumped storage capacity configuration uses static, year-targeted approaches, leading under-capacity in the early planning stages—wasting renewable energy—and over-capacity in later stages, thus wasting resources. In order to solve the above problems, this article innovatively proposes a dynamic, time-sequenced construction timeline and annual capacity configuration strategy, synchronized with new energy and load development, enhancing sustainability through optimized investment allocation and efficient resource utilization. It presents a two-layer model that considers multiple scenario operational dispatch. The upper layer aims to minimize the curtailment of wind and solar energy, providing a planning scheme to the lower layer, which focuses on multi-scenario economic dispatch, taking into account the peak-valley difference indicators. The models co-iterate: lower-layer operational outcomes feed back to refine the upper-layer’s capacity plan. This process continues until the predicted curtailment calculated by the upper layer aligns closely with that observed in the lower-layer operational simulations, or until capacity changes stabilize, ultimately determining the optimal time-phased capacity configuration. Simulations on a provincial power grid during three typical scenarios in winter, transitional seasons, and summer, as well as extreme weather scenarios, confirm that timely, dynamic configuration strategy significantly enhances renewable absorption, proving the model’s effectiveness.
Suggested Citation
Danwen Hua & Linjun Shi & Lingkai Zhu & Ziwei Zhong & Zhiqiang Gong & Junshan Guo & Wei Zheng, 2025.
"Multi-Scenario Pumped Storage Capacity Timeline Configuration Method Adapted to New Energy Development,"
Sustainability, MDPI, vol. 17(17), pages 1-20, September.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:17:p:7990-:d:1742378
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7990-:d:1742378. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.