Extracting Optimal Operation Rule Curves of Multi-Reservoir System Using Atom Search Optimization, Genetic Programming and Wind Driven Optimization
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- @Article{kosasaeng:2022:Sustainability,
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author = "Suwapat Kosasaeng and Nirat Yamoat and
Seyed Mohammad Ashrafi and Anongrit Kangrang",
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title = "Extracting Optimal Operation Rule Curves of
Multi-Reservoir System Using Atom Search Optimization,
Genetic Programming and Wind Driven Optimization",
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journal = "Sustainability",
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year = "2022",
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volume = "14",
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number = "23",
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pages = "Article No. 16205",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2071-1050",
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URL = "https://www.mdpi.com/2071-1050/14/23/16205",
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DOI = "doi:10.3390/su142316205",
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abstract = "This research aims to apply optimisation techniques
using atom search optimisation (ASO), genetic
programming (GP), and wind-driven optimisation (WDO)
with a reservoir simulation model for searching optimal
rule curves of a multi-reservoir system, using the
objective function with the minimum average quantity of
release excess water. The multi-reservoir system
consisted of five reservoirs managed by a single
reservoir that caused severe problems in Sakon Nakhon
province, Thailand, which was hit by floods in 2017.
These included Huai Nam Bo Reservoir, the Upper Huai
Sai-1 Reservoir, the Upper Huai Sai-2 Reservoir, the
Upper Huai Sai-3 Reservoir, and the Huai Sai Khamin
Reservoir. In this study, the monthly reservoir rule
curves, the average monthly inflow to the reservoirs
during 2005–2020, the water demand of the
reservoirs, hydrological data, and physical data of the
reservoirs were considered. In addition, the
performance of the newly obtained rule curves was
evaluated by comparing the operation with a single
reservoir and the operation with a multi-reservoir
network. The results showed situations of water
shortage and water in terms of frequency, duration,
average water, and maximum water. The newly obtained
rule curves from the multi-reservoir system case showed
an average water excess of 43.722 MCM/year, which was
less than the optimal curves from the single reservoir
case, where the average water excess was 45.562
MCM/year. An analysis of the downstream reservoir of
the multi-reservoir system, which diverts water from
the upstream reservoirs, was performed. The results
showed that the new optimal rule curves of ASO, GP, and
WDO operated as a multi-reservoir system performed
better than when operated as a single reservoir.
Therefore, this research is suitable for sustainable
water management without construction.",
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notes = "also known as \cite{su142316205}",
- }
Genetic Programming entries for
Suwapat Kosasaeng
Nirat Yamoat
Seyed Mohammad Ashrafi
Anongrit Kangrang
Citations