Daily Generation Scheduling of Cascade Hydro Plants Considering Peak Shaving Constraints
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 4
Abstract
This paper considers the operation of hydro plants, tackles the problem of daily hydro-generation scheduling (DHGS), and obtains the optimal hourly operation of cascade hydropower reservoirs. To meet the practical operational demands of power grid, an improved benefit-maximization model in which the peak shaving demands are taken as constraints is proposed for DHGS, and the joint peak load regulation (JPLR) method is applied to the proposed model. The model can enhance the power-generation efficiency and reduce the water spillage significantly under the condition of peak load regulation. Meanwhile, a hybrid method that combines discrete differential dynamic programming with progressive optimality algorithm is proposed to solve the JPLR problem. The complicated constraints can be handled by the proposed algorithm effectively. Moreover, the hydro-unit-commitment problem is solved by a rapid searching algorithm based on equal incremental principle and empirical methods. With this unit-commitment strategy, the computation speed can be accelerated and approximate optimal solutions can be obtained in a reasonable time frame. The proposed model and methods are applied to the DHGS of cascade hydro plants in Zagunao River in China and achieve good performance.
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Acknowledgments
This work is supported by the National Natural Science Foundation Key Project of China (No. 51239004). Special thanks are given to the anonymous reviewers and editors for their constructive comments.
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Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 4 • April 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Mar 2, 2015
Accepted: Sep 29, 2015
Published online: Dec 30, 2015
Published in print: Apr 1, 2016
Discussion open until: May 30, 2016
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