2022
DOI: 10.1109/access.2022.3196851
|View full text |Cite
|
Sign up to set email alerts
|

Improved Salp Swarm Optimization Algorithm for Damping Controller Design for Multimachine Power System

Abstract: This paper proposes an improved salp swarm algorithm (ISSA) as an effective metaheuristic method for tackling global optimization issues and damping power system oscillations. In the suggested ISSA, new equations are introduced to update the location of the leader and followers. This modification improves the method's exploration possibilities while also preventing it from converging prematurely. Benchmark test functions are used to confirm the proposed algorithm's performance, and the results are compared to … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
10
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 30 publications
(10 citation statements)
references
References 39 publications
0
10
0
Order By: Relevance
“…According to all figures, the settling time for GTO-GBO-based tuned PSS is less than for others. Also, the control signal concerning the time of G1 and G4 is shown in Figs 13,14. The size of the control signals is likewise less for the GTO-GBO-based optimizers, indicating that it performs better for multi-machine power system networks than the competitive optimization techniques.…”
Section: B Optimum Tuning Of Pssmentioning
confidence: 99%
See 1 more Smart Citation
“…According to all figures, the settling time for GTO-GBO-based tuned PSS is less than for others. Also, the control signal concerning the time of G1 and G4 is shown in Figs 13,14. The size of the control signals is likewise less for the GTO-GBO-based optimizers, indicating that it performs better for multi-machine power system networks than the competitive optimization techniques.…”
Section: B Optimum Tuning Of Pssmentioning
confidence: 99%
“…There are several unique intelligent control design approaches, such as artificial neural networks [3] and fuzzy logic [4], [5], have been researched. As per literature there are so many used metaheuristic optimization algorithms for the optimum tuning of PSS like Particle Swarm Optimization [6], [7], JAYA Algorithm [8], Improved Moth Flame [9], whale optimization algorithm [10], sine cosine algorithm [11], A hybrid modified grey wolf optimization-sine cosine algorithm [12], modified Sperm Swarm Optimization [13], Improved Salp Swarm Optimization Algorithm [14], Adaptive Rat Swarm Optimization [15], improved particle swarm optimization [16], Bat Algorithm [17], Runge Kutta optimizer [18], Quantum Artificial Gorilla Troops Optimizer [19], Cuckoo Search Optimization Algorithm [20], slime mould algorithm [21], honey bee mating optimization [22], Backtracking Search Algorithm [23], kidney-inspired algorithm [24], henry gas solubility optimization algorithm [25], modified arithmetic optimization algorithm [26],Water Cycle-Moth Flame Optimization [27], modified sine cosine algorithm [28], nondominated sorting genetic algorithm [29], Improved Harris Hawk Optimizer [30], genetic algorithm-neural network techniques [31].…”
Section: B Literature Reviewmentioning
confidence: 99%
“…The SSA has been fascinated with the Salp Swarming of the Seas. The population in the Salp Swarm has been classified as followers and leaders [26], [27]. The first Salp is known as the leader and the rest are called the followers.…”
Section: Hyper Parameter Optimization Using Weighted Salp Swarm Optim...mentioning
confidence: 99%
“…E. 𝑜 𝑡 is the output gate that is calculated based on the memory cell state which is controlled by the output gate. The term 𝑏 0 represents the bias and the 𝑊 0 is represented as the weight matrix which is represented as shown in (27).…”
Section: Classification Using Bi-directional Long Short-term Memorymentioning
confidence: 99%
“…However, when users need to modify or delete a certain content, they can not easily access the relevant records, and then they can directly use this function to obtain the required objects and realize their management and maintenance. At the same time, due to the lack of corresponding permission settings and management mechanisms, the information of certain roles can not be effectively used and shared, resulting in resource waste and large repetitive workload [3][4].…”
Section: Introductionmentioning
confidence: 99%