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Water Resources Management

Erschienen in:

01.09.2016

Optimal Operation of Hydropower Reservoir Systems Using Weed Optimization Algorithm

verfasst von: Mohammad Azizipour, Vahid Ghalenoei, M. H. Afshar, S. S. Solis

Erschienen in: Water Resources Management | Ausgabe 11/2016

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Abstract

The optimal hydropower operation of reservoir systems is known as a complex nonlinear nonconvex optimization problem. This paper presents the application of invasive weed optimization (IWO) algorithm, which is a novel evolutionary algorithm inspired from colonizing weeds, for optimal operation of hydropower reservoir systems. The IWO algorithm is used to optimally solve the hydropower operation problems for both cases of single reservoir and multi reservoir systems, over short, medium and long term operation periods, and the results are compared with the existing results obtained by the two most commonly used evolutionary algorithms, namely, particle swam optimization (PSO) and genetic algorithm (GA). The results show that the IWO is more efficient and effective than PSO and GA for both single reservoir and multi reservoir hydropower operation problems.

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Titel: Optimal Operation of Hydropower Reservoir Systems Using Weed Optimization Algorithm
verfasst von: Mohammad Azizipour
Vahid Ghalenoei
M. H. Afshar
S. S. Solis
Publikationsdatum: 01.09.2016
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 11/2016
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-016-1407-6

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