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Algorithms 2018, 11(4), 36; https://doi.org/10.3390/a11040036

A Gradient-Based Cuckoo Search Algorithm for a Reservoir-Generation Scheduling Problem

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School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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Changjiang River Scientific Research Institute, Changjiang Water Resources Commission of the Ministry of Water Resources of China, Wuhan 430010, China
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Author to whom correspondence should be addressed.
Received: 22 January 2018 / Revised: 11 March 2018 / Accepted: 20 March 2018 / Published: 25 March 2018
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Abstract

In this paper, a gradient-based cuckoo search algorithm (GCS) is proposed to solve a reservoir-scheduling problem. The classical cuckoo search (CS) is first improved by a self-adaptive solution-generation technique, together with a differential strategy for Lévy flight. This improved CS is then employed to solve the reservoir-scheduling problem, and a two-way solution-correction strategy is introduced to handle variants’ constraints. Moreover, a gradient-based search strategy is developed to improve the search speed and accuracy. Finally, the proposed GCS is used to obtain optimal schemes for cascade reservoirs in the Jinsha River, China. Results show that the mean and standard deviation of power generation obtained by GCS are much better than other methods. The converging speed of GCS is also faster. In the optimal results, the fluctuation of the water level obtained by GCS is small, indicating the proposed GCS’s effectiveness in dealing with reservoir-scheduling problems. View Full-Text
Keywords: long-term hydropower generation scheduling; cascade reservoirs; gradient-based cuckoo search algorithm; Jinsha River long-term hydropower generation scheduling; cascade reservoirs; gradient-based cuckoo search algorithm; Jinsha River
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Feng, Y.; Zhou, J.; Mo, L.; Wang, C.; Yuan, Z.; Wu, J. A Gradient-Based Cuckoo Search Algorithm for a Reservoir-Generation Scheduling Problem. Algorithms 2018, 11, 36.

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