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Title
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An Optimization-Based Strategy for Solving Optimal Power Flow Problems in a Power System Integrated with Stochastic Solar and Wind Power Energy
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Sub-Title |
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Subject |
Renewable energy sources; optimal power flow; solar photovoltaic power; wind power; hybrid PSO-GWO
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Sub-Subject |
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Author |
Muhammad Riaz, Aamir Hanif, Shaik Javeed Hussain,
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Publish Year |
2021 |
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Supervisor |
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Diss#. |
https://doi.org/10.3390/app11156883 |
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Chapters |
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Pages |
1-27 |
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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 |
In an effort to reduce greenhouse gas emissions, experts are looking to substitute fossil
fuel energy with renewable energy for environmentally sustainable and emission free societies. This
paper presents the hybridization of particle swarm optimization (PSO) with grey wolf optimization
(GWO), namely a hybrid PSO-GWO algorithm for the solution of optimal power flow (OPF) problems
integrated with stochastic solar photovoltaics (SPV) and wind turbines (WT) to enhance global search
capabilities towards an optimal solution. A solution approach is used in which SPV and WT output
powers are estimated using lognormal andWeibull probability distribution functions respectively,
after simulation of 8000 Monte Carlo scenarios. The control variables include the forecast real
power generation of SPV and WT, real power of thermal generators except slack-bus, and voltages
of all voltage generation buses. The total generation cost of the system is considered the main
objective function to be optimized
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