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Many studies indicate the importance of distributed generation (DG) as one of the best alternatives to conventional energy sources. The growth in population is causing a significant increase in electricity demand all over the world, which creating a considerable need for further investment in the electric network infrastructure. However, integration of new renewable energy source in the distribution...
Nowadays integration of Distributed Generation (DG) into the Distribution Network (DN) become a common practice for its advantages over the conventional sources in the environmental and economical influence. Despite DG's benefits, up growth in DG numbers and the diversity in the technology used, arise problems including power quality, voltage profile, network stability, and protection coordination,...
In this paper, some of the aspects related to the design and implementation of grid connected DC microgrids are investigated. A prototype system has been designed and implemented to address these aspects. The described system is dependent mainly on sustainable energy sources. Hence, a special care has been given to dealing with these kinds of sources while designing different components of the system...
This paper analyzing influence of distributed generation (DG) on transient stability of power system network operating parallel with large renewable energy resources (RES) power plant. The study is performed in hypothetical power system network envision in the future which contains a large number of DG. Network behavior when subjected to disturbance is compared with different level of DG penetration...
With high penetration of distributed generations (DGs), power distribution system is regarded as a multisource system in which fault location scheme must be direction sensitive. This paper presents an automated fault location method using radial basis function neural network (RBFNN) for a distribution system with DG units. In the proposed method, the fault type is first determined by normalizing the...
This paper presents and describes a smart predictive technique for managing reactive power from a numbers of distributed generation (DG) units connected to low voltage (LV) buses in a distribution network. The technique applies an optimization process in the first stage and in the second stage the procedure is generalized using artificial neural network (ANN). The ANN is trained to replace the role...
This paper deals with the modeling and analysis of dynamic model of solid oxide fuel cell (SOFC) system in response to the grid connection using PSCAD/EMTDC simulation software. Fuel cells are known for their reliability, power quality, eco-friendly nature and fuel efficiency. Its promising technology and extremely significant in the near future. A voltage source inverter controller is developed for...
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