2023
DOI: 10.1080/15567036.2023.2175929
|View full text |Cite
|
Sign up to set email alerts
|

Search group algorithm for optimal allocation of battery energy storage with renewable sources in an unbalanced distribution system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 30 publications
0
1
0
Order By: Relevance
“…Recently, researchers utilized new metaheuristic algorithms that involved a unique chaotic student psychology-based optimization including load models and the hourly load profile average [11]. The search group algorithm was used with the aim of maximizing the technological, economic, and environmental objectives [12], as well as a hybrid multi-objective algorithm that incorporated the GA-PSO algorithms in order to optimize a simultaneous total cost for BESS and power loss [13].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, researchers utilized new metaheuristic algorithms that involved a unique chaotic student psychology-based optimization including load models and the hourly load profile average [11]. The search group algorithm was used with the aim of maximizing the technological, economic, and environmental objectives [12], as well as a hybrid multi-objective algorithm that incorporated the GA-PSO algorithms in order to optimize a simultaneous total cost for BESS and power loss [13].…”
Section: Introductionmentioning
confidence: 99%