Optimization of hydropower storage projects using harmony search algorithm

S. J. Mousavi, P. Nakhaei, Ali Sadollah, Joong Hoon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a harmony search algorithm-based optimization of design and operation of hydropower storage systems. The optimization formulation of the problem is a nonconvex nonlinear program difficult to solve by gradient-based nonlinear programming techniques. The search space of the problem is large due to number of operational variables. Harmony search optimization algorithm is applied in the problem of design and operation optimization of Bakhtiari Dam and its powerplant project in Iran. The problem is solved in two cases of optimizing only design variables and optimizing design and operational variables, simultaneously, and the promising results obtained are presented.

Original languageEnglish
Title of host publicationHarmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
PublisherSpringer Verlag
Pages261-270
Number of pages10
Volume514
ISBN (Print)9789811037276
DOIs
Publication statusPublished - 2017
EventProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 - Bilbao, Spain
Duration: 2017 Feb 222017 Feb 24

Publication series

NameAdvances in Intelligent Systems and Computing
Volume514
ISSN (Print)21945357

Other

OtherProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
CountrySpain
CityBilbao
Period17/2/2217/2/24

Keywords

  • Harmony search algorithm
  • Hydropower
  • Optimization
  • Reservoir operation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Mousavi, S. J., Nakhaei, P., Sadollah, A., & Kim, J. H. (2017). Optimization of hydropower storage projects using harmony search algorithm. In Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Vol. 514, pp. 261-270). (Advances in Intelligent Systems and Computing; Vol. 514). Springer Verlag. https://doi.org/10.1007/978-981-10-3728-3_26