Flood Control Operation of Reservoir Group Using Yin-Yang Firefly Algorithm

Hai tao Chen, Wen chuan Wang, Kwok wing Chau, Lei Xu, Ji He

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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.

Original languageEnglish
Pages (from-to)5325-5345
Number of pages21
JournalWater Resources Management
Volume35
Issue number15
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Flood control operation
  • Reservoir group
  • Swarm intelligence
  • YYFA algorithm
  • ε constrained method

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology

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