Technical Papers
Jun 29, 2023

A Short-Term Hydropower Scheduling Model Considering Constraint Priorities

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

Abstract

Models for short-term optimal scheduling of hydropower stations should consider complex cascade constraints, hydropower station constraints, and unit operation constraints, all of which are inextricably linked. In practical scheduling, schedulers cannot be certain that the constraints they set based on their preferences are necessarily feasible, potentially leading to a no-solution situation. When the model has no solution, it is time-consuming to find conflicting constraints, and it is difficult to take the importance of different constraints into account, which will seriously affect the efficiency of day-ahead planning of hydropower stations. To solve the problem, a constraint grading model for short-term optimal scheduling of cascade hydropower stations is proposed in this paper. In both the flood and dry seasons, the model transforms five violable constraints into soft constraints and ranks them according to their importance, respectively. If the model has no solution, the soft constraints with low importance are automatically violated to obtain a feasible solution. The application example of Beipan cascade demonstrates that this model can effectively solve the problem of conflicting constraints. Moreover, compared with the penalty function method, this model can ensure that more important soft constraints are not violated.

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Data Availability Statement

Some data, models, or code generated or used during the study are available from the corresponding author by request, including the proposed MILP model and the LINGO codes used in solving the MILP model.

Acknowledgments

The research work described in this paper is supported by the National Natural Science Foundation of China (52179005 and 91647113).

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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 14, 2022
Accepted: May 10, 2023
Published online: Jun 29, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 29, 2023

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Associate Professor, Institute of Hydropower and Hydroinformatics, Dalian Univ. of Technology, Dalian 116024, China (corresponding author). Email: [email protected]
Master’s Candidate, Institute of Hydropower and Hydroinformatics, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]
Xilong Cheng [email protected]
Engineer, Yunhe (Henan) Information Technology Co., Ltd., Zhengzhou 450000, China. Email: [email protected]
Chuntian Cheng [email protected]
Professor, Institute of Hydropower and Hydroinformatics, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]
Senior Engineer, Guizhou Qianyuan Power Co., Ltd., Guiyang 550000, China. Email: [email protected]
Engineer, Guizhou Qianyuan Power Co., Ltd., Guiyang 550000, China. Email: [email protected]

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