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A research proposal of the optimization strategy of distribution network
Authors: Bowen Wang; Xu Zhang; Rinat Kakimzhanov; Li Huang;
Abstract
In this paper, we critically analyze the optimization strategy of distribution network based on adapting adjustment of transformer's taps and review a large amount of relevant literature in order to explore the state-of-the-art research progresses in both academia and industry. By the analysis and literature review, a complete research proposal pertaining to the optimization strategy of distribution network based on adapting adjustment of transformer's taps can be formed, which points out the promising future of the relevant techniques as well as the existing problems worth investigating.
Related Organizations
- University of Salford United Kingdom
- Duke University United States
- Beijing Jiaotong University China (People's Republic of)
- Beijing Jiaotong University China (People's Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
0
Average
Average
Average