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| dc.contributor.author | Mohsin Mumtaz, 01-244162-022 | |
| dc.date.accessioned | 2019-05-24T05:28:35Z | |
| dc.date.available | 2019-05-24T05:28:35Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/8765 | |
| dc.description | Supervised By Dr. Muhammad Aamir | en_US |
| dc.description.abstract | It is visible that different renewable distributed generations sources like solar, wind or biomass have begun governing the energy zone which can generate electricity on a small scale that is not sufficient and stable to be transmitted to the utility grid. So, there should be alternate methods that can fasten the distributed generation sources to the utility grid, as it can play a leading role in the production of power as well as challenge the global warming issues. As these distributive generation sources are meteorologically dependent thus, they are vulnerable to inconsistencies and system overloading. When the microgrid system is practically implemented many more issues are met which should be addressed. This thesis proposes a CIGRE beach mark Microgrid model that is comprised of eight solar systems with different ratings, two battery banks, four synchronous generators having different power rating, and a wind turbine system all connected in a 14-bus system attached to the main grid. The effect of wind speed along with different sun irradiations have been examined for both models of operation (grid connected and isolated). A 20 kV CIGRE beach mark Microgrid model is developed and simulated using Electrical Transient and Analysis Program (ETAP) software. Load flow analysis, optimal power flow, and transient stability are analyzed. In load flow analysis we are examining the flow of power among the buses of the microgrid,the transient analysis of the system would be beneficial to investigate the system response and its components at different intervals and the optimal power flow reflects the actual power flow without losses and suggested the optimal (intelligent) load flow between buses. The results have been validated which shows that all the analysis performed are efficient and optimized. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Electrical Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | MS EE;T-0446 | |
| dc.subject | Electrical Engineering | en_US |
| dc.title | Generation Optimization for Microgrid Using ETAP (T-0446) (MFN 8328) | en_US |
| dc.type | MS Thesis | en_US |