@ARTICLE{Devarapalli_Ramesh_Power_2021,
 author={Devarapalli, Ramesh and Kumar, Vikash},
 volume={vol. 31},
 number={No 3},
 journal={Archives of Control Sciences},
 pages={553-591},
 howpublished={online},
 year={2021},
 publisher={Committee of Automatic Control and Robotics PAS},
 abstract={The hybridization of a recently suggested Harris hawk’s optimizer (HHO) with the traditional particle swarm optimization (PSO) has been proposed in this paper. The velocity function update in each iteration of the PSO technique has been adopted to avoid being trapped into local search space with HHO. The performance of the proposed Integrated HHO-PSO (IHHOPSO) is evaluated using 23 benchmark functions and compared with the novel algorithms and hybrid versions of the neighbouring standard algorithms. Statistical analysis with the proposed algorithm is presented, and the effectiveness is shown in the comparison of grey wolf optimization (GWO), Harris hawks optimizer (HHO), barnacles matting optimization (BMO) and hybrid GWO-PSO algorithms. The comparison in convergence characters with the considered set of optimization methods also presented along with the boxplot. The proposed algorithm is further validated via an emerging engineering case study of controller parameter tuning of power system stability enhancement problem. The considered case study tunes the parameters of STATCOM and power system stabilizers (PSS) connected in a sample power network with the proposed IHHOPSO algorithm. A multi-objective function has been considered and different operating conditions has been investigated in this papers which recommends proposed algorithm in an effective damping of power network oscillations.},
 type={Article},
 title={Power system oscillation damping controller design: a novel approach of integrated HHO-PSO algorithm},
 URL={http://ochroma.man.poznan.pl/Content/120824/art04.pdf},
 doi={10.24425/acs.2021.138692},
 keywords={Harris hawk optimization, Power system stabilizers, STATCOM, FACTS, particle swarm optimization},
}