Optimal operation of reservoir systems using the Wolf Search Algorithm (WSA)-Reference-Cited by-同舟云学术

Optimal operation of reservoir systems using the Wolf Search Algorithm (WSA)

Published:2019-01-02 Issue:5 Volume:19 Page:1396-1404
ISSN:1606-9749
Container-title:Water Supply
language:en
Short-container-title:

Author:

Ahmadebrahimpour Edris¹

Affiliation:

1. Young Researchers and Elite Club, Sardasht Branch, Islamic Azad University, Sardasht, Iran and Young Researchers and Elite Club, Urmia Branch, Islamic Azad University, Urmia, Iran

Abstract

Abstract Optimizing hydropower plants is complex due to nonlinearity, complexity, and multidimensionality. This study introduces and evaluates the performance of the Wolf Search Algorithm (WSA) for optimizing the operation of a four-reservoir system and a single hydropower system in Iran. Results indicate WSA could reach 99.95 and 99.91 percent of the global optimum for the four-reservoir system and single reservoir system, respectively. Comparing the results of WSA with a genetic algorithm (GA) also indicates WSA's supremacy over GA. Thus, due to its simple structure and high capability, WSA is recommended for use in other water resources management problems.

Funder

no fund

Publisher

IWA Publishing

Subject

Water Science and Technology

Link

http://iwaponline.com/ws/article-pdf/19/5/1396/570818/ws019051396.pdf

Reference45 articles.

1. Wolf search algorithm for numeric association rule mining,2016

2. Reservoir optimization in water resources: a review;Water Resources Management,2014

3. Optimizing multireservoir operation: hybrid of bat algorithm and differential evolution;Journal of Water Resources Planning and Management,2015

4. Estimating scenarios for domestic water demand under drought conditions in England and wales;Water Science and Technology: Water Supply,2018

5. Weed optimization algorithm for optimal reservoir operation;Journal of Irrigation and Drainage Engineering,2015

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