Recent advances of bat-inspired algorithm, its versions and applications
Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
A novel hybrid sine cosine algorithm and pattern search for optimal coordination of power system dam** controllers
This paper presents an effective hybrid optimization technique based on a chaotic sine
cosine algorithm (CSCA) and pattern search (PS) for the coordinated design of power …
cosine algorithm (CSCA) and pattern search (PS) for the coordinated design of power …
A modified Marine predators algorithm for solving single-and multi-objective combined economic emission dispatch problems
Decreasing the emission of greenhouse gases and the fuel cost are the main principles of
the combined economic emission dispatch (CEED) optimization problem. In this work, a …
the combined economic emission dispatch (CEED) optimization problem. In this work, a …
An intelligent EGWO‐SCA‐CS algorithm for PSS parameter tuning under system uncertainties
R Devarapalli, B Bhattacharyya… - International Journal of …, 2020 - Wiley Online Library
This paper proposes a novel hybrid technique called enhanced grey wolf optimization‐sine
cosine algorithm‐cuckoo search (EGWO‐SCA‐CS) algorithm to improve the electrical power …
cosine algorithm‐cuckoo search (EGWO‐SCA‐CS) algorithm to improve the electrical power …
Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm
MA Kamarposhti, I Colak, C Iwendi… - Journal of circuits …, 2022 - World Scientific
Volatility leads to disruption in synchronism between generators of a continuous system. The
frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is …
frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is …
Comprehensive learning Harris hawks-equilibrium optimization with terminal replacement mechanism for constrained optimization problems
C Zhong, G Li - Expert Systems with Applications, 2022 - Elsevier
Harris hawks optimization (HHO) is a novel metaheuristic algorithm which has strong
convergence for unconstrained optimization problems. However, HHO may encounter …
convergence for unconstrained optimization problems. However, HHO may encounter …
New coordinated tuning of SVC and PSSs in multimachine power system using coyote optimization algorithm
This paper presents a new approach for coordinated design of power system stabilizers
(PSSs) and static VAR compensator (SVC)-based controller. For this purpose, the design …
(PSSs) and static VAR compensator (SVC)-based controller. For this purpose, the design …
Adaptive rat swarm optimization for optimum tuning of SVC and PSS in a power system
A Toolabi Moghadam, M Aghahadi… - … on Electrical Energy …, 2022 - Wiley Online Library
This paper presents a new approach for the coordinated design of a power system stabilizer‐
(PSS‐) and static VAR compensator‐(SVC‐) based stabilizer. For this purpose, the design …
(PSS‐) and static VAR compensator‐(SVC‐) based stabilizer. For this purpose, the design …
Multi-dimensional energy management based on an optimal power flow model using an improved quasi-reflection jellyfish optimization algorithm
This article proposes an enhanced quasi-reflection jellyfish optimization (QRJFO) algorithm
for solving the optimal power flow (OPF) problem. The multi-dimension objective functions …
for solving the optimal power flow (OPF) problem. The multi-dimension objective functions …
A new comprehensive learning marine predator algorithm for extracting the optimal parameters of supercapacitor model
This paper proposes an improved metaheuristic approach of comprehensive learning
marine predator algorithm (CLMPA) to identify the optimal parameters of the supercapacitor …
marine predator algorithm (CLMPA) to identify the optimal parameters of the supercapacitor …