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 …
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 …
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
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 …
algorithm named Grasshopper Optimization Algorithm (GOA) in the area of microgrid system …
SGOA: annealing-behaved grasshopper optimizer for global tasks
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 …
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 …
Off-grid electrification of remote communities using sustainable energy systems (SESs) is a
requisite for realizing sustainable development goals. Nonetheless, the capacity planning of …
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
Microgrids (MGs) use renewable sources to meet the growing demand for energy with
increasing consumer needs and technological advancement. They operate independently …
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
Considering the higher flexibility in tuning process and finer control action of the fractional-
order proportional integral derivative (FOPID) controller over the conventional proportional …
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
The proportional integral derivative (PID) controller is one of the most robust and simplest
configuration controllers used for industrial applications. However, its performance purely …
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
This article represents a brief study on popular bio-inspired meta-heuristic optimization
methods and their applications. These methods, which imitate biological phenomena or …
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 …
Owing to the superior transient and steady-state performance of the fractional-order
proportional-integral-derivative (FOPID) controller over its conventional counterpart, this …
proportional-integral-derivative (FOPID) controller over its conventional counterpart, this …