Study On the Power Loss Reduction and Voltage Profile Improvement of Kotebe Distribution System By Optimal Placement of D-Statcom Using a Hybrid Of Genetic Algorithm and Particle Swarm Optimization Method
| dc.contributor.advisor | Fekadu, Shewarega (PhD) | |
| dc.contributor.author | Biniyam, Abayneh | |
| dc.date.accessioned | 2022-05-18T06:15:36Z | |
| dc.date.accessioned | 2023-11-28T14:26:42Z | |
| dc.date.available | 2022-05-18T06:15:36Z | |
| dc.date.available | 2023-11-28T14:26:42Z | |
| dc.date.issued | 2022-04 | |
| dc.description.abstract | This research presents the way of improving the performance of the distribution network by improving the voltage profile and reduces the power loss by integrating D-STATCOM to Kotebe K3 distribution feeder. Kotebe distribution substation is one of the distribution substations found in Addis Ababa, Ethiopia feeding areas around Kotebe, Wesen, CMC, Figa and Gurdshola. Among those feeders, Kotebe K3 has been selected as test system due to its longest rout length, large loads and high permanent power interruption rate. The selected feeder has been modeled in MATLAB computational tool and load flow analysis has been simulated using Newton-Raphson method. It has been observed that the Newton-Raphson load flow simulation of Kotebe K3 gives a power loss of 1.7351 MW and 0.7080 MVAR respectively and 41 buses below the expected voltage range. This research uses a hybrid of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for optimal placement and sizing of D-STATCOM for power loss reduction and improvement of voltage profile. The GA-PSO optimization technique considers both real and reactive power losses. The combined sensitivity factor uses both real and reactive sensitivity factors to identifying the candidate buses for D-STATCOM allocation. The combined sensitivity factor identifies bus 22,23,24,25 and 26 as the most five sensitive buses, which are used for placement of D-STATCOM. The GA-PSO optimized result shows that bus 22 is the most effective bus for placing D-STATCOM in terms of reducing the power loss at relatively small size and keeps the bus voltage under the acceptable range. The simulation result of the integrated D-STATCOM on bus 22 reduces the real power loss from 1.7351 MW to 1.0948 MW, which is by 36.90%, and the reactive power loss from 0.7080 MVAR to 0.4453 MVAR, which is by 37.11%, while maintaining all bus voltages in the range between 0.95 and 1.05pu. Furthermore, a comparison analysis shows that GA-PSO method gives the greatest reduction in both real and reactive power loss compared to GA and PSO methodologies. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/31680 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | D-STATCOM | en_US |
| dc.subject | GA | en_US |
| dc.subject | PSO | en_US |
| dc.subject | Power loss reduction | en_US |
| dc.subject | Voltage profile improvement | en_US |
| dc.title | Study On the Power Loss Reduction and Voltage Profile Improvement of Kotebe Distribution System By Optimal Placement of D-Statcom Using a Hybrid Of Genetic Algorithm and Particle Swarm Optimization Method | en_US |
| dc.type | Thesis | en_US |