Technical Papers
Jul 7, 2023

Optimal Multiobjective Scheduling of Hydropower Stations in Day-Ahead Electricity Market: Considering Ecological Benefits

Publication: Journal of Water Resources Planning and Management
Volume 149, Issue 9

Abstract

At present, most research on the optimal scheduling of hydropower stations in the day-ahead electricity market focuses on the optimal power generation benefit, which does not consider the ecological impact of the generated discharge flow on downstream rivers. To address this situation, the ecological impact of electricity markets on rivers downstream of annually regulated hydropower stations is studied, and adjustment methods for traditional scheduling methods are proposed to achieve better ecological benefits. To this end, a multitimescale nested forecasting scheduling model is proposed for simulating hydropower station scheduling. In addition, the ecological flow index of the distribution flow method, an easy-to-implement ecological indicator model, was used to quantify the ecological benefits of discharge flows. A hydropower station on the upper course of the Lancang River in China was used to analyze the electricity market’s impact on downstream river ecology. The results show that under the optimal power generation benefit scheme, the ecological benefits are influenced not only by electricity price characteristics but also by multitimescale nested scheduling. Based on an analysis of these two factors, the general rules for the ecological benefits of rivers downstream of annually regulated hydropower stations in the day-ahead electricity market are summarized. In addition, the relationship between power generation and ecological benefits is analyzed for various schemes in a multiobjective scheduling problem framework. Finally, adjustment methods for traditional scheduling methods are proposed to achieve better ecological benefits.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study was part of the research accomplishment of the National Key R&D Program of China (2019YFE0105200). It was supported by the Water Conservancy Technology Project of Hunan Province (2016194-21). We are grateful for this funding. We are also grateful to the reviewers for their useful comments that significantly improved the current version of this paper.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 149Issue 9September 2023

History

Received: Oct 11, 2022
Accepted: Mar 16, 2023
Published online: Jul 7, 2023
Published in print: Sep 1, 2023
Discussion open until: Dec 7, 2023

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Ph.D. Candidate, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing, Jiangsu 210098, PR China. Email: [email protected]
Guohua Fang [email protected]
Professor, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing, Jiangsu 210098, PR China (corresponding author). Email: [email protected]
Engineer, Water Conservancy Bureau of Jiangsu Province, Nanjing, Jiangsu 210029, PR China. Email: [email protected]
Xianfeng Huang [email protected]
Associate Professor, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing, Jiangsu 210098, PR China. Email: [email protected]
Ph.D. Candidate, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing, Jiangsu 210098, PR China. Email: [email protected]

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