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Title
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An optimal power flow solution of a system integrated with windand solar photovoltaic sources using a hybrid optimizer
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Sub-Title |
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Subject |
" renewable energy sources; emission; wind turbine; solar photovoltaic; hybrid particle swarm gray wolf optimizer"
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Sub-Subject |
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Author |
Muhammad Riaz, Aamir Hanif, Haris Masood, Muhammad
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Publish Year |
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Diss#. |
"https://doi.org/10.3390/su132313382 " |
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Chapters |
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Pages |
1-12 |
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Text Language |
English |
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Accession |
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Library Section |
Research Article |
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Abstract |
A solution to reduce the emission and generation cost of conventional fossil-fuel-based
power generators is to integrate renewable energy sources into the electrical power system. This
paper outlines an efficient hybrid particle swarm gray wolf optimizer (HPS-GWO)-based optimal
power flow solution for a system combining solar photovoltaic (SPV) and wind energy (WE) sources
with conventional fuel-based thermal generators (TGs). The output power of SPV and WE sources
was forecasted using lognormal and Weibull probability density functions (PDFs), respectively. The
two conventional fossil-fuel-based TGs are replaced with WE and SPV sources in the existing IEEE-30
bus system, and total generation cost, emission and power losses are considered the three main
objective functions for optimization of the optimal power flow problem in each scenario. A carbon tax
is imposed on the emission from fossil-fuel-based TGs, which results in a reduction in the emission
from TGs. The results were verifie
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