Technical Papers
Apr 15, 2021

Optimal Hourly Scheduling for Wind–Hydropower Systems with Integrated Pumped-Storage Technology

Publication: Journal of Energy Engineering
Volume 147, Issue 3

Abstract

It has been a significant challenge to ensure high-efficiency, stable power supplies in complementary wind–hydropower generation systems, and there are increasing concerns about power curtailment and uncertainty control issues. Pumped-storage technology, which stores energy when it is in excess and provides energy in times of shortage, has been found to be a viable solution to enhance system flexibility and energy efficiency. This study investigated a hybrid wind–hydropower generation system with integrated pumped storage for which the hourly optimized scheduling was assessed using a developed mixed-integer nonlinear mathematical model. The hourly uncertainties involved in wind and hydropower were measured using the k-nearest neighbor algorithm and fuzzy theory, respectively, and dynamic programming was employed to assess the reservoir storage capacity changes during constant periods. With the actual application to a wind–hydro generation system in China, nine hourly scheduling scenarios for different seasons and available reservoir capacities were investigated, from which it was found that the hybrid system was highly self-sufficient in the normal season, and that pumped-storage technology was able to improve wind power efficiency in the case region.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article. Some or all data, models, or code that support the findings of this study—specifically, the code for Model 17—are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the Sichuan Provincial Social Science Planning Base Major Project (No. SC17EZD002), the Fund for Creative Research Groups of China (No. 50221402) and the Fundamental Research Funds for Central Universities (No. 2012017yjsy104).

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Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 147Issue 3June 2021

History

Received: Mar 12, 2020
Accepted: Aug 21, 2020
Published online: Apr 15, 2021
Published in print: Jun 1, 2021
Discussion open until: Sep 15, 2021

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Jiuping Xu, M.ASCE [email protected]
Professor, Business School, Sichuan Univ., Chengdu 610064, China; Institute of New Energy and Low-Carbon Technology, Sichuan Univ., Chengdu 610064, China (corresponding author). Email: [email protected]
Tingting Liu, S.M.ASCE [email protected]
Ph.D. Candidate, Business School, Sichuan Univ., Chengdu 610064, China. Email: [email protected]

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