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Article

Reservoir Scheduling Using a Multi-Objective Cuckoo Search Algorithm under Climate Change in Jinsha River, China

by 1,2,3, 1,2,*, 3, 1,2, 1,2 and 4
1
Changjiang Water Resources Commission, Changjiang River Scientific Research Institute, Wuhan 430010, China
2
Hubei Provincial Key Laboratory of Basin Water Resources and Ecological Environment, Changjiang River Scientific Research Institute, Wuhan 430010, China
3
School of Earth and Space Sciences, Peking University, Beijing 100871, China
4
China Institute of Water Resources and Hydropower Research, Beijing 100038, China
*
Author to whom correspondence should be addressed.
Academic Editor: Juraj Parajka
Water 2021, 13(13), 1803; https://doi.org/10.3390/w13131803
Received: 30 May 2021 / Revised: 27 June 2021 / Accepted: 28 June 2021 / Published: 29 June 2021
Changes in rainfall and streamflow due to climate change have an adverse impact on hydropower generation reliability and scheduling of cascade hydropower stations. To estimate the impact of climate change on hydropower, a combination of climate, hydrological, and hydropower scheduling models is needed. Here, we take the Jinsha River as an example to estimate the impact of climate change on total power generation of the cascade hydropower stations and residual load variance of the power grid. These two goals are solved by applying an improved multi-objective cuckoo search algorithm, and a variety of strategies for the optimal dispatch of hydropower stations are adopted to improve the efficiency of the algorithm. Using streamflow prediction results of CMIP5 climate data, in conjunction with the Xinanjiang model, the estimated results for the next 30 years were obtained. The results indicated that the negative correlation between total power generation and residual load variance under the RCP 2.6 scenario was weaker than that under the RCP 8.5. Moreover, the average power generation and the average residual load variance in RCP 2.6 was significantly larger than that in RCP 8.5. Thus, reducing carbon emissions is not only beneficial to ecological sustainability, but also has a positive impact on hydropower generation. Our approaches are also applicable for cascade reservoirs in other river catchments worldwide to estimate impact of climate change on hydropower development. View Full-Text
Keywords: long-term hydropower generation scheduling; cascade reservoirs; climate change impacts; Jinsha River; multi-objective optimization long-term hydropower generation scheduling; cascade reservoirs; climate change impacts; Jinsha River; multi-objective optimization
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MDPI and ACS Style

Feng, Y.; Xu, J.; Hong, Y.; Wang, Y.; Yuan, Z.; Wang, C. Reservoir Scheduling Using a Multi-Objective Cuckoo Search Algorithm under Climate Change in Jinsha River, China. Water 2021, 13, 1803. https://doi.org/10.3390/w13131803

AMA Style

Feng Y, Xu J, Hong Y, Wang Y, Yuan Z, Wang C. Reservoir Scheduling Using a Multi-Objective Cuckoo Search Algorithm under Climate Change in Jinsha River, China. Water. 2021; 13(13):1803. https://doi.org/10.3390/w13131803

Chicago/Turabian Style

Feng, Yu, Jijun Xu, Yang Hong, Yongqiang Wang, Zhe Yuan, and Chao Wang. 2021. "Reservoir Scheduling Using a Multi-Objective Cuckoo Search Algorithm under Climate Change in Jinsha River, China" Water 13, no. 13: 1803. https://doi.org/10.3390/w13131803

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