Monthly Operation Optimization of Cascade Hydropower Reservoirs with Dynamic Programming and Latin Hypercube Sampling for Dimensionality Reduction-Reference-Cited by-同舟云学术

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Monthly Operation Optimization of Cascade Hydropower Reservoirs with Dynamic Programming and Latin Hypercube Sampling for Dimensionality Reduction

Published:2020-04 Issue:6 Volume:34 Page:2029-2041
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Feng Zhong-kai,Niu Wen-jing,Jiang Zhi-qiang,Qin Hui,Song Zhen-guo

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-020-02545-0.pdf

Reference24 articles.

1. Catalão JPS, Pousinho HMI, Mendes VMF (2011) Hydro energy systems management in Portugal: profit-based evaluation of a mixed-integer nonlinear approach. Energy 36(1):500–507

2. Faber BA, Stedinger JR (2001) Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts. J Hydrol 249(1–4):113–133

3. Fan H, Tarun PK, Chen VCP (2013) Adaptive value function approximation for continuous-state stochastic dynamic programming. Comput Oper Res 40(4):1076–1084

4. Feng ZK, Liu S, Niu WJ, Li SS, Wu HJ, Wang JY (2020a) Ecological operation of cascade hydropower reservoirs by elite-guide gravitational search algorithm with Lévy flight local search and mutation. J Hydrol 581:124425

5. Feng, ZK, Niu, WJ, Cheng, X, Wang, JY, Wang, S, and Song, ZG (2020b). "an effective three-stage hybrid optimization method for source-network-load power generation of cascade hydropower reservoirs serving multiple interconnected power grids." J Clean Prod, 246

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