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Neural Computing and Applications

, Volume 31, Issue 10, pp 5951–5964 | Cite as

Optimization of energy management and conversion in the water systems based on evolutionary algorithms

  • Hojat KaramiEmail author
  • Mohammad Ehteram
  • Sayed-Farhad Mousavi
  • Saeed Farzin
  • Ozgur Kisi
  • Ahmed El-Shafie
Original Article

Abstract

In this article, an application of weed optimization algorithm (WOA) for reservoir operation was proposed. In addition, genetic algorithm (GA) and particle swarm optimization algorithm (PSOA) have been used as successful algorithms in such engineering application for optimizations in order to introduce a comprehensive comparison analysis with the results of WOA. Two case studies were considered in this research. The aim of the first case study was to minimize irrigation water deficits for Aydoughmoush dam in Iran. Results showed that average solution of the operation rule of the WOA is close to the global solution and that reliability index and resiliency index for water supply, based on WOA, are higher than the GA and PSOA. Also, the operation rule achieved by the WOA has well-supplied water to match the water demands for the operation period (1991–2000). The second case study was related to minimize the electricity power deficits in Karun-4 reservoir. In fact, the water should be released such that the electricity power generation is maximized or the electricity power deficit should be minimized. Results showed that the operation rule for the water achieved by the WOA produces more electrical power than GA and PSOA. Furthermore, the average solution accomplished by WOA is very close to the global solution. Different indexes were used for evaluating the proposed methods, namely reliability index, vulnerability index, and resiliency index. For the first case study, the proposed WOA could achieve 98% reliability which is outperformed the other GA and PSOA methods. On the other hand, for the second case study, the proposed WOA method could attain electricity power 12 and 15% more than the one generated while using the GA and PSOA methods. Thus, WOA has high potential to be applied for achieving optimal operation rule for dam and reservoir operation and better water resources management and plan.

Keywords

Water resources management Reservoir operation Genetic algorithm Particle swarm algorithm 

Notes

Compliance with ethical statement

Conflict of interest

We here declare that we have no conflict of interest with anybody or any institution.

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Copyright information

© The Natural Computing Applications Forum 2018

Authors and Affiliations

  • Hojat Karami
    • 1
    Email author
  • Mohammad Ehteram
    • 1
  • Sayed-Farhad Mousavi
    • 1
  • Saeed Farzin
    • 1
  • Ozgur Kisi
    • 2
  • Ahmed El-Shafie
    • 3
  1. 1.Department of Water Engineering and Hydraulic Structures, Faculty of Civil EngineeringSemnan UniversitySemnanIran
  2. 2.School of Natural Sciences and EngineeringIlia State UniversityTbilisiGeorgia
  3. 3.Civil Engineering Department, Faculty of EngineeringUniversity of MalayaKuala LumpurMalaysia

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