Technical Notes
Jul 31, 2017

A Quadratic Programming Approach for Fixed Head Hydropower System Operation Optimization Considering Power Shortage Aspect

Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 10

Abstract

As an important renewable energy resource, hydropower plays an irreplaceable role in reducing power shortages in modern electrical systems throughout the world. This study focuses on the fixed head hydropower operation problem considering power shortages, which is classified as a large-scale nonlinear constrained optimization problem with a set of complex operational constraints. In order to efficiently solve this problem, a novel quadratic programming (QP) model is developed, in which the goal is to find the optimal hourly operational policy for all hydropower plants in a system so as to minimize the sum of squared energy deficits over the scheduling horizon. The results of a ten-reservoir hydropower system show that the proposed approach can efficiently find better solutions than several previous optimization methods for energy deficit reduction. Thus the proposed technique is effective for hydropower scheduling problems in which the assumption of fixed hydraulic head holds.

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Acknowledgments

The authors thank the reviewers and editors for their valuable comments and suggestions. This paper is supported by the Fundamental Research Funds for the Central Universities (HUST: 2017KFYXJJ193) and the Natural Science Foundation of China (91547201 and 51210014).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 143Issue 10October 2017

History

Received: Sep 5, 2016
Accepted: May 5, 2017
Published online: Jul 31, 2017
Published in print: Oct 1, 2017
Discussion open until: Dec 31, 2017

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Authors

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Zhong-kai Feng [email protected]
Lecturer, School of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan, Hubei 430074, China (corresponding author). E-mail: [email protected]
Wen-jing Niu, Ph.D. [email protected]
Engineer, Bureau of Hydrology, ChangJiang Water Resources Commission, Wuhan 430010, China. E-mail: [email protected]
Chun-tian Cheng [email protected]
Professor, Dept. of Institute of Hydropower and Hydroinformatics, Dalian Univ. of Technology, Dalian 116024, China. E-mail: [email protected]

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