Flood Control Operation of Reservoir Group Using Yin-Yang Firefly Algorithm
Hai-tao Chen (),
Wen-chuan Wang (),
Kwok-wing Chau (),
Lei Xu () and
Ji He ()
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Hai-tao Chen: North China University of Water Resources and Electric Power
Wen-chuan Wang: North China University of Water Resources and Electric Power
Kwok-wing Chau: The Hong Kong Polytechnic University
Lei Xu: North China University of Water Resources and Electric Power
Ji He: North China University of Water Resources and Electric Power
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 15, No 16, 5325-5345
Abstract:
Abstract Flood control operation (FCO) of a reservoir is a complex optimization problem with a large number of constraints. With the rapid development of optimization techniques in recent years, more and more research efforts have been devoted to optimizing FCO problems. However, for solving large-scale reservoir group optimization problem, this is still a challenging task. In this work, a reservoir group FCO model is established with minimum flood volume stored in each reservoir and minimum peak flow of downstream control point during the dispatch process. At the same time, a flood forecast model for FCO of a reservoir group is developed by coupling Yin-Yang firefly algorithm (YYFA) with ε constrained method. As a case study, the proposed model is applied to a three-reservoir flood control system in Luanhe River Basin consisting of reservoirs, river channels, and downstream control points. Results show that optimal operation of three reservoirs systems can efficiently reduce the occupied storage capacity for flood control and flood peaks at downstream control point of the basin. The proposed method can be extended to FCO of other reservoir groups with similar conditions.
Keywords: Flood control operation; Reservoir group; Swarm intelligence; YYFA algorithm; ε constrained method (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11269-021-03005-z
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