Aggregation-Decomposition Coupling Drawdown Rule and Progressive Optimal Algorithm for Optimization of Large-Scale Reservoirs

With the increased construction reservoirs, hydropower systems are becoming larger and more complex, which brings challenges of optimal operation of large-scale reservoirs to improve the power generation. To address this efficiently, we propose an aggregation-decomposition method based on cascade re...

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Vydané v:Water resources management Ročník 38; číslo 14; s. 5463 - 5483
Hlavní autori: Sun, Jiahui, Wang, Chao, Wang, Hao, Xiao, Yunke, Lei, Xiaohui, He, Zhongzheng, Song, Peibing, Jin, Pengyu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht Springer Netherlands 01.11.2024
Springer Nature B.V
Predmet:
Aggregation
Algorithms
Atmospheric Sciences
basins
China
Civil Engineering
Coupling
Decomposition
Drawdown
Earth and Environmental Science
Earth Sciences
Electric power generation
Environment
Geotechnical Engineering & Applied Earth Sciences
Heuristic methods
Hydroelectric power
Hydrogeology
Hydrology/Water Resources
Mathematical analysis
Optimization
power generation
Reservoirs
River basins
system optimization
viability
water
Water drawdown
water power
watersheds
Yangtze River
China
Yangtze River
Drawdown rule
Progressive optimal algorithm
Large-scale reservoirs
Aggregation-decomposition
ISSN:0920-4741, 1573-1650
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Shrnutí:With the increased construction reservoirs, hydropower systems are becoming larger and more complex, which brings challenges of optimal operation of large-scale reservoirs to improve the power generation. To address this efficiently, we propose an aggregation-decomposition method based on cascade reservoir drawdown rule. Based on a two-stage method, we analyze the monotonicity of power generation increment of cascade reservoirs and propose the drawdown rule, which we used to guide the drawdown order of cascade reservoirs. On this basis, we propose an aggregation-decomposition coupling drawdown rule and progressive optimal algorithm (ADDR-POA) method of large-scale reservoirs. To confirm the viability of the proposed approach, we selected 29 series–parallel-mixed reservoirs in the upper Yangtze River Basin in China as the study subjects and optimized them with the goal of maximizing the total power generation. Results show that compared to conventional mathematical optimization method and heuristic algorithm, ADDR-POA can effectively express the compensation effect between reservoirs and has a good performance in improving the total power generation of the basin and reducing iteration times, which presents a novel approach for solving the problem of drawdown operation of large-scale reservoirs.
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ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-024-03863-3