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DC Field | Value | Language |
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dc.contributor.author | Harit, Abhishek | - |
dc.date.accessioned | 2015-08-12T07:25:22Z | - |
dc.date.available | 2015-08-12T07:25:22Z | - |
dc.date.issued | 2015-06-01 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/5983 | - |
dc.description.abstract | The Project has been carried out with the modeling and performance analysis of the renewable based standalone hybrid system for DC micro grid to supply data centres. Solar Photo voltaic (SPV) arrays, Wind Turbine, Diesel Generator and Storage Battery are the sources used as a DER in the hybrid system. Maximum power point tracker algorithm is used to increase the efficiency of Solar PV panel. DC-DC and AC-DC converter is used for Solar, and Wind Generation and DG set respectively. Buck and Boost converter are used to manipulate the voltage level. DC power is accumulated at a bus and fed to the micro grid. Whole system is considered as a standalone system, it means it is an isolated system. In order to examine the effectiveness of the proposed scheme, performance analysis of the characteristics of the hybrid system will be carried out for few of the normal conditions. Analytical part has been done for DC micro grid too. MATLAB is used as a simulation tool. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 13MEEE01; | - |
dc.subject | Electrical 2013 | en_US |
dc.subject | Project Report 2013 | en_US |
dc.subject | Electrical Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 13MEE | en_US |
dc.subject | 13MEEE | en_US |
dc.subject | 13MEEE01 | en_US |
dc.subject | EPS | en_US |
dc.subject | EPS 2013 | en_US |
dc.subject | EE (EPS) | en_US |
dc.subject | Electrical Power Systems | en_US |
dc.title | Modeling and Performance Analysis of a Standalone Renewable based Hybrid System for DC Microgrid | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, EE (EPS) |
Files in This Item:
File | Description | Size | Format | |
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13MEEE01.pdf | 13MEEE01 | 746.93 kB | Adobe PDF | ![]() View/Open |
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