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:: Volume 8, Issue 30 (12-2021) ::
2021, 8(30): 24-32 Back to browse issues page
Multi-objective optimization of hydropower reservoir operation Case study, Karoon 5
Maryam Parhizkari, Hamed Mazandarani zadeh
IKIU , mazandaranizadeh@gmail.com
Abstract:   (606 Views)
Near the most of real-world decision-making issues, especially in the water resource management area, are multi-objective issues that are taken based on different and conflicting goals. Due to the wide range of application of these issues, different models have been proposed to solve them, NSGA-II and MOPSO are the most important of these multi-objective optimization models. The purpose of this study is to compare the performance of NSGA-II and MOPSO algorithms in solving multi-objective optimal operation of a hydropower reservoir. Due to the fact that the hydropower reservoirs are involved in providing the peak load of the network electricity, a neural network to predict daily energy prices in peak hours was developed initially, then the results were used to optimize the multi-objective operation of Karun 5 Dam reservoir, includes two goals of maximizing annual income and maximizing minimum daily energy production. Although the run time of the NSGA-II method is about twice as high as the MOPSO, the precision of its results is 20% better for both purposes than MOPSO.
Keywords: Peak consumption, Peak Load, Neural Network, Electricity Network, PAB
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Type of Study: Research | Subject: هیدرولوژی و برنامه ریزی منابع آب
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parhizkari M, mazandarani zadeh H. Multi-objective optimization of hydropower reservoir operation Case study, Karoon 5. Iranian Dam and Hydroelectric Powerplant 2021; 8 (30) :24-32
URL: http://journal.hydropower.org.ir/article-1-412-en.html

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Volume 8, Issue 30 (12-2021) Back to browse issues page
نشریه سد و نیروگاه برق آبی Journal of Dam and Hydroelectric Powerplant
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