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On-line network reconfiguration for loss reduction in distribution networks with distributed generation
Authors: ABUR A; PILO, FABRIZIO GIULIO LUCA; LODDO M; CELLI, GIANNI;
doi: 10.1049/cp:20051270
handle: 11584/103006
Abstract
This paper presents a network reconfiguration method for power flow optimization and, consequently, loss reduction in distribution networks with Distributed Generation (DG). The network reconfiguration problem is formulated and solved using a simple linear programming approach. Optimal configurations are determined by considering the effects of DG outputs, load variations, and various other contingences such as faults and maintenance outages. Demand Side Management actions have also been taken into account. Simulation results for test distribution network confirmed the effectiveness of the proposed method.
Country
Italy
Related Organizations
- The University of Texas System United States
- University of Cagliari Italy
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).17 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% 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.
17
Top 10%
Top 10%
Average
Fields of Science (3) View all
Related to Research communities
Energy Research