2021
DOI: 10.1186/s41601-021-00215-w
|View full text |Cite
|
Sign up to set email alerts
|

Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm

Abstract: A whale optimization algorithm (WOA)-based power system stabilizer (PSS) design methodology on modified single machine infinite bus (MSMIB) and multi-machine systems to enhance the small-signal stability (SSS) of the power system is presented. The PSS design methodology is implemented using an eigenvalue (EV)-based objective function. The performance of the WOA is tested with several CEC14 and CEC17 test functions to investigate its potential in optimizing the complex mathematical equations. The New England 10… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 20 publications
(12 citation statements)
references
References 42 publications
0
12
0
Order By: Relevance
“…The transit between these two important phases can be achieved by only one parameter. Furthermore, the research suggests that current techniques may constantly be improved in order to achieve better results [20][21][22][23][24][25]. As a result of this motivation, WOA has been used to optimize the PI controller settings.…”
Section: Proposed Whale Optimization Algorithmmentioning
confidence: 99%
“…The transit between these two important phases can be achieved by only one parameter. Furthermore, the research suggests that current techniques may constantly be improved in order to achieve better results [20][21][22][23][24][25]. As a result of this motivation, WOA has been used to optimize the PI controller settings.…”
Section: Proposed Whale Optimization Algorithmmentioning
confidence: 99%
“…Meta-heuristic algorithm-based PV reconfiguration strategy is a very active area of research in recent years because of its flexibility, and there is no need of a precise system model (Yang et al, 2020a;Yang et al, 2020b;Dasu et al, 2021;Sakthivel and Sathya, 2021;Wang et al, 2021). So far, genetic algorithm (Deshkar et al, 2015), gravitational search algorithm (Hasanien et al, 2016), particle swarm algorithm (Babu et al, 2018), modified Harris hawks algorithm (Yousri et al, 2020a), marine predators algorithm (Yousri et al, 2020b), grey wolf optimization algorithm (Balraj and Stonier, 2020), butterfly optimization algorithm (Fathy, 2020), artificial ecosystembased optimization (Yousri et al, 2020c), democratic political algorithm (Yang et al, 2021b), and other several meta-heuristic algorithms are applied in PV reconfiguration research.…”
Section: Dynamic Reconfigurationmentioning
confidence: 99%
“…Therefore, there is a need to create standard mathematical models for researchers to conduct effective research. It is more reasonable to consider factors that influence temperature in a practical scenario, which will affect the accuracy of mathematical models (Dasu et al, 2021;Sakthivel and Sathya, 2021).…”
Section: Model Of the Thermoelectric Generation Systemmentioning
confidence: 99%