2023
DOI: 10.1016/j.epsr.2023.109138
|View full text |Cite
|
Sign up to set email alerts
|

Robustness assessment of power network with renewable energy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 17 publications
(5 citation statements)
references
References 40 publications
0
2
0
Order By: Relevance
“…In conclusion, the REI's mean‐median and range values are very different. Since the standard deviation is higher as a result of this more considerable difference (2.29E+08), this suggests that the REI swings with time (Wang et al, 2023). Since this prevents us from making predictions about the variable, we must go deeper into the matter.…”
Section: Resultsmentioning
confidence: 99%
“…In conclusion, the REI's mean‐median and range values are very different. Since the standard deviation is higher as a result of this more considerable difference (2.29E+08), this suggests that the REI swings with time (Wang et al, 2023). Since this prevents us from making predictions about the variable, we must go deeper into the matter.…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, validation on real electrical-network models shows substantial improvements in accuracy and robustness compared to traditional methods. Another study [73] proposes a network-reduction methodology based on the generalized Thevenin theorem, addressing optimization and reorganization of existing networks by connecting subnetworks. The research emphasizes the importance of considering uncertainties in the reconfiguration of distribution networks to enhance their robustness and operational efficiency.…”
Section: Robustness In Electrical-distribution Networkmentioning
confidence: 99%
“…Regarding structure, the growing utilization of renewable energy makes the system's power structure more complicated, which might pose greater running risks; the elevated use of renewable energy will raise the network's rate of interruption and increase the susceptibility of the power grid to risks. [12,13].…”
Section: Introductionmentioning
confidence: 99%