2022
DOI: 10.1016/j.est.2022.104719
|View full text |Cite
|
Sign up to set email alerts
|

A stochastic tri-layer optimization framework for day-ahead scheduling of microgrids using cooperative game theory approach in the presence of electric vehicles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 16 publications
(7 citation statements)
references
References 39 publications
0
3
0
Order By: Relevance
“…To address these uncertainties, storage devices, demand response programs (DRPs), and reserve resources are employed in various studies. Additionally, the concept of MGs has emerged as a means to manage these uncertainties [6][7][8][9][10][11][12][13]. Among other advantages of MG development, it includes the enhancement of control and stability in distribution systems [14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…To address these uncertainties, storage devices, demand response programs (DRPs), and reserve resources are employed in various studies. Additionally, the concept of MGs has emerged as a means to manage these uncertainties [6][7][8][9][10][11][12][13]. Among other advantages of MG development, it includes the enhancement of control and stability in distribution systems [14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Singularly perturbed systems have demonstrated their efficacy as potent mathematical tools for effectively capturing intricate interactions among subsystems characterized by distinct temporal characteristics [ [1] , [2] , [3] ]. These versatile systems find wide-ranging applications across various domains, encompassing chemical reactions, electrical circuits, ecological models, and neural networks [ [4] , [5] , [6] ]. Gaining a comprehensive understanding of the stability properties of such systems holds paramount importance in ensuring their robustness and dependability in real-world applications [ [7] , [8] , [9] ].…”
Section: Introductionmentioning
confidence: 99%
“…However, their effective control is inherently hindered by the presence of non-minimum phase delays [ [19] , [20] , [21] ]. These delays introduce a level of complexity and unpredictability that challenge conventional control strategies [ [22] , [23] , [24] ]. Moreover, the delays themselves are prone to abrupt changes, further exacerbating the control problem [ 25 , 26 ].…”
Section: Introductionmentioning
confidence: 99%