Technical Notes
Jul 20, 2018

Min-Max Linear Programming Model for Multireservoir System Operation with Power Deficit Aspect

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 10

Abstract

Because of the growing demand for energy in recent years, multireservoir system operation with a power deficit aspect is becoming an increasingly important problem in electrical power systems. To satisfy this practical requirement, a min-max linear programming (LP) model is developed to determine the optimal generation of all the hydroplants so as to equally distribute electricity shortage in the scheduling horizon. The objective of the LP model is to minimize the maximum, rather than the traditional variance function, of residual load series that is obtained by subtracting the total outputs of all the hydroplants from the original load curve. Also, in the modeling process, the LP model takes a set of necessary operation constraints into account. The proposed model is applied to a classical multireservoir system with 10 coupled reservoirs. The results indicate that the proposed LP model outperforms several existing methods in smoothing the power deficit. Thus, a new perspective is provided for the operation of hydropower systems in the cases where the water head can be assumed to be a constant.

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Acknowledgments

The writers would like to express their sincere thanks to the editors and reviewer. This paper is supported by the National Natural Science Foundation of China (51709119), Natural Science Foundation of Hubei Province (2018CFB573), and the Fundamental Research Funds for the Central Universities (HUST: 2017KFYXJJ193).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 10October 2018

History

Received: May 31, 2017
Accepted: Apr 13, 2018
Published online: Jul 20, 2018
Published in print: Oct 1, 2018
Discussion open until: Dec 20, 2018

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Authors

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

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