Using the gray wolf optimizer for solving optimal reactive power dispatch problem
By Mohd Herwan Sulaiman, Zuriani Mustaffa, M. R. Mohamed, O. Aliman. Applied Soft Computing, 2015
359 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/d1cf5570a247ba00120dceb3aa00b133569bae1b
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In Electrical and Electronic Engineering
Citations in the corpus
- Dynamic Modeling of Steam Condenser and Design of PI Controller Based on Grey Wolf Optimizer (2015, background): “in 2014 [12], which is successfully applied in many fields, such as security smart grid power system management [13], parameter estimation [14], reactive power dispatch problem [15], flow shop scheduling problem [16], combined heat and power dispatch [17], and automatic control [18].”
- An improved grey wolf optimizer for solving engineering problems (2021, background): “…Pradhan et al., 2016), unit commitment (Kamboj, 2016; Panwar et al., 2018), pattern recognition (Katarya et al., 2018), feature selection (Emary et al., 2015; Tu et al., 2019b), wind speed forecasting (J. Song et al., 2018), and optimal power flow (El-Fergany et al., 2015; Sulaiman et al., 2015).”
- Grey wolf optimizer: a review of recent variants and applications (2017, methodology): “In [122], the reactive ELD problem is addressed by GWO where it used to determine the optimal combination of control variables such as voltages, tap changing transformers’ ratios as well as the amount of reactive compensation devices.”