|
|
|
|
|
Title
|
An optimal power flow solution of a system integrated with renewable sources using a hybrid optimizer.
|
Sub-Title |
|
Subject |
Renewable energy sources; emission; wind turbine; solar photovoltaic; hybrid particle
|
Sub-Subject |
|
Author |
Muhammad Riaz, Aamir Hanif, Haris Masood, Muhammad
|
Publish Year |
2021 |
Supervisor |
|
Diss#. |
https://doi.org/10.3390/su132313382 |
Chapters |
|
Pages |
13382-13392 |
Text Language |
English |
Accession |
|
Library Section |
Research Article |
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
|
|
Catalogue
Books
|
Periodicals
|
Newspapers
|
Publications
|
Research Papers
|
|
|
|