A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications

L Abualigah, A Diabat - Neural Computing and Applications, 2020 - Springer
The grasshopper optimization algorithm is one of the dominant modern meta-heuristic
optimization algorithms. It has been successfully applied to various optimization problems in …

[HTML][HTML] Review of energy management system approaches in microgrids

S Vuddanti, SR Salkuti - Energies, 2021 - mdpi.com
To sustain the complexity of growing demand, the conventional grid (CG) is incorporated
with communication technology like advanced metering with sensors, demand response …

Optimal sizing of an autonomous photovoltaic/wind/battery/diesel generator microgrid using grasshopper optimization algorithm

AL Bukar, CW Tan, KY Lau - Solar Energy, 2019 - Elsevier
This article focuses on the application of a latest nature-inspired metaheuristic optimization
algorithm named Grasshopper Optimization Algorithm (GOA) in the area of microgrid system …

SGOA: annealing-behaved grasshopper optimizer for global tasks

C Yu, M Chen, K Cheng, X Zhao, C Ma… - Engineering with …, 2022 - Springer
An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper …

AL Bukar, CW Tan, LK Yiew, R Ayop, WS Tan - Energy conversion and …, 2020 - Elsevier
Off-grid electrification of remote communities using sustainable energy systems (SESs) is a
requisite for realizing sustainable development goals. Nonetheless, the capacity planning of …

[HTML][HTML] A review on microgrid optimization with meta-heuristic techniques: Scopes, trends and recommendation

A Akter, EI Zafir, NH Dana, R Joysoyal, SK Sarker… - Energy Strategy …, 2024 - Elsevier
Microgrids (MGs) use renewable sources to meet the growing demand for energy with
increasing consumer needs and technological advancement. They operate independently …

[HTML][HTML] Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system

TA Jumani, MW Mustafa, Z Hussain, MM Rasid… - Alexandria Engineering …, 2020 - Elsevier
Considering the higher flexibility in tuning process and finer control action of the fractional-
order proportional integral derivative (FOPID) controller over the conventional proportional …

[HTML][HTML] Improved whale optimization algorithm for transient response, robustness, and stability enhancement of an automatic voltage regulator system

S Habib, G Abbas, TA Jumani, AA Bhutto, S Mirsaeidi… - Energies, 2022 - mdpi.com
The proportional integral derivative (PID) controller is one of the most robust and simplest
configuration controllers used for industrial applications. However, its performance purely …

Recent trends in bio-inspired meta-heuristic optimization techniques in control applications for electrical systems: A review

MHK Roni, MS Rana, HR Pota, MM Hasan… - International Journal of …, 2022 - Springer
This article represents a brief study on popular bio-inspired meta-heuristic optimization
methods and their applications. These methods, which imitate biological phenomena or …

[HTML][HTML] Salp swarm optimization algorithm-based fractional order PID controller for dynamic response and stability enhancement of an automatic voltage regulator …

IA Khan, AS Alghamdi, TA Jumani, A Alamgir, AB Awan… - Electronics, 2019 - mdpi.com
Owing to the superior transient and steady-state performance of the fractional-order
proportional-integral-derivative (FOPID) controller over its conventional counterpart, this …