| dc.contributor.author | TEWODROS KOSTE CHEFAKO | |
| dc.date.accessioned | 2024-06-11T07:02:29Z | |
| dc.date.available | 2024-06-11T07:02:29Z | |
| dc.date.issued | 2024-02 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/2050 | |
| dc.description.abstract | This research endeavor elucidates the approach of enhancing the efficacy of the distribution system through the preservation of voltage profile and mitigation of power dissipation by integrating D-STATCOM into the distribution system of Areka town. This study was conducted on 15kV Areka town distribution feeder. Which has 44 buses, 43 branches, and a total of 5.54 MW demand capacity power. The distribution system has been replicated using Matlab tools, and the load flow analysis has been conducted through the utilization of backward/forward swept flow methods. A GA-PSI hybrid optimization algorithm is applied to size and locate a D-STATCOM as an objective function is employed with the purpose of minimizing the power loss experienced by the system and enhancing the voltage profile. In base case the active and reactive power loss of Areka town distribution system is 1476.835 kW and 898.872 kVAr respectively and 39 buses voltage profiles is below standard voltage tolerance limit 0.95pu. After the integration of D-STATCOM by using GA-PSO optimal sizing and allocation on 15kV Areka town distribution system, the active and reactive power loss reduced in to 378.601 kW and 61. 833 kVAr respectively and also the voltage profile for all buses is at standard voltage tolerance limit between 0.95pu and 1.05pu. The computational time which required for GA PSO optimization was 2.527 sec. Finally, an analysis of comparisons between GA, PSO and GA-PSO approaches reveals that the GA-PSO approach was the best one to reduces the realand reactive power loss | en_US |
| dc.language.iso | en | en_US |
| dc.subject | : D-STATCOM, GA-PSO, Backward/Forward swept load flow, voltage profi | en_US |
| dc.title | Power Loss Minimization and Voltage Profile Enhancement in Distribution System by Optimal Placement of D-STATCOM Using Hybrid GA-PSO Optimization (Case Study Areka Town 15 KV Distribution System | en_US |
| dc.type | Thesis | en_US |