From Microgrids to Smart Grids: Modeling and simulating using graphs. Part I active power flow

C. Marinescu; A. Deaconu; E. Ciurea; Daniela Marinescu

Found an issue? Give us feedback

https://doi.org/10.1...arrow_drop_down

https://doi.org/10.1109/optim....

Article . 2010 . Peer-reviewed

Data sources: Crossref

https://dx.doi.org/10.1109/opt...

Article

Data sources: Microsoft Academic Graph

From Microgrids to Smart Grids: Modeling and simulating using graphs. Part I active power flow

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2010Publisher:IEEEJournal:2010 12th International Conference on Optimization of Electrical and Electronic Equipment

Authors: C. Marinescu; A. Deaconu; E. Ciurea; Daniela Marinescu;

doi: 10.1109/optim.2010.5510534

From Microgrids to Smart Grids: Modeling and simulating using graphs. Part I active power flow

- Summary
- Metrics

Abstract

The Smart Grid of the future will be created starting from Smart Microgrids. The modelling of Microgrids and the simulations of their real time steady state status is presented in the paper. The model is created using graphs. A Windows type application created based on the model is presented. This powerful tool can be used to evaluate the total loss when an electrical network has to be designed and it can be used to optimize the links between nodes and the storage dealt devices optimal placement and optimal power, too. From these operations result decreased losses (costs).

Related Organizations

Transylvania University of Brașov
Romania

Impact byBIP!

	selected citations These citations are derived from selected sources. 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).	8
	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).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average