2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC) 2023
DOI: 10.1109/icaisc58445.2023.10199431
|View full text |Cite
|
Sign up to set email alerts
|

Distribution network planning method for source-network-storage collaboration

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…The introduction of the Source-Storage-Load synergy strategy is posited as a solution that views energy conversion, storage, and consumption processes in MES through an integrated lens [10,11]. When applied within distribution networks, this strategy is believed to markedly enhance system performance, ensuring energy supply stability whilst attenuating environmental and economic detriments [12][13][14][15]. A particular emphasis on thermodynamics, especially the adherence to the first and second laws, has been found to provide deeper insights into the functioning of MES, underpinning the path to higher efficiencies both thermodynamically and economically.…”
Section: Introductionmentioning
confidence: 99%
“…The introduction of the Source-Storage-Load synergy strategy is posited as a solution that views energy conversion, storage, and consumption processes in MES through an integrated lens [10,11]. When applied within distribution networks, this strategy is believed to markedly enhance system performance, ensuring energy supply stability whilst attenuating environmental and economic detriments [12][13][14][15]. A particular emphasis on thermodynamics, especially the adherence to the first and second laws, has been found to provide deeper insights into the functioning of MES, underpinning the path to higher efficiencies both thermodynamically and economically.…”
Section: Introductionmentioning
confidence: 99%