Short-Term Flood Control and Long-Term Energy Maximization in Multi-reservoir Systems Using Improved Particle Swarm Optimization


Guvengir U., SAVAŞANERİL TÜFEKCİ S., ALTAN SAKARYA A. B. , Buhan S.

WATER RESOURCES MANAGEMENT, vol.35, no.13, pp.4293-4307, 2021 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 35 Issue: 13
  • Publication Date: 2021
  • Doi Number: 10.1007/s11269-021-02947-8
  • Journal Name: WATER RESOURCES MANAGEMENT
  • Journal Indexes: Science Citation Index Expanded, Scopus, PASCAL, ABI/INFORM, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Compendex, Environment Index, Geobase, INSPEC, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.4293-4307
  • Keywords: Nonlinear optimization, Mixed-cascade multireservoir system, Improved particle swarm optimization, Flood control, Real-time operation, OPERATION, MODEL, FRAMEWORK, ALGORITHM

Abstract

In this study, a model is developed for short-term flood control of a complex multi-reservoir system located on one of the largest basins in Turkey. The managing body of the reservoirs requires that short-term real-time flood control is used in conjunction with the long-term operation for energy maximization. For this purpose, a novel operating framework is developed to couple short-term and long-term decisions. The resulting optimization problems are a large scale and nonlinear. Hence, the solution is maintained by developing an improved epoch-based particle swarm optimization (PSO) method. The proposed solution is general and can be used for any watershed with different layouts of several reservoirs having anticipated inflows and pre-defined release and storage constraints. It is the first time PSO is used for such a complex large-scale problem within flood control context. The developed optimization model was applied to a sample basin having 10 reservoirs with general layout of the mixed structures. The results obtained were compared to the real operational data and it was found that a solution with less flooding and more energy production would have been possible if the proposed methodology were utilized.