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| dc.contributor.author | YECHALE, ATINAFU TEMESGEN | |
| dc.date.accessioned | 2024-12-11T06:38:55Z | |
| dc.date.available | 2024-12-11T06:38:55Z | |
| dc.date.issued | 2024-06-07 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/16355 | |
| dc.description.abstract | Distribution systems reliability is a great concern to any electric power utility company. Power utility companies are working to provide reliable power through many systems. Distributed Generation (DG) is considered the most effective alternative to enhance performance and increase the reliability of the distribution system. In Jigjiga there are eight distribution feeder. Among those feeders based on the collected data wuchale feeder is the most interrupted feeder based on the collected data. The two-year period (2021 and 2022 G.C.) frequency of interruption and duration of interruption data have been collected from the EEU recorded data center for all Jigjiga 33 kV and 15 kV distribution feeders. The reliability of an electric power distribution system of Wuchale's 132/33 kV feeder is evaluated due to its frequent interruptions and long-distance coverage from the supply point. The Wuchale 132/33 kV feeder, serving 2563 customers, includes 54 distribution transformers. This study aims to evaluate the reliability and value of the Wuchale feeder by incorporating distributed generation (DG) using the PSO algorithm for optimal DG allocation. PSO is selected due to its simplicity, ease of implementation, and adaptability to a wide range of optimization problems, including non-linear and multimodal functions. Simulations were performed using DigSILENT PowerFactory. The initial reliability indices for the Wuchale feeder were SAIFI = 200.38, SAIDI = 6441.13, CAIDI = 32.143, ASAI = 0.264, and ASUI = 0.735, exceeding the Ethiopian standard of SAIFI = 20 and SAIDI = 25. After optimal DG allocation, the indices improved significantly to SAIFI = 17, SAIDI = 28, CAIDI = 1.647, ASAI = 0.996, and ASUI = 0.003. This integration of DG reduced the SAIFI and CAIDI indices by 82% and 90%, respectively. The proposed solution also resulted in an annual savings of 6,071,335.2 ETB from unsold energy, with a payback period of 6.45 years. The PSO algorithm identified buses 14, 22, and 45 for DG allocation. Keywords:- DigSILENT PowerFactory, Distributed generation (DG), Reliability Assessment, Particle Swarm Optimization (PSO), EEU (Ethiopian Electric Utility), Photovoltaic(PV) | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Electrical and Computer Engineering | en_US |
| dc.title | RELIABILITY ASSESSMENT OF DISTRIBUTION SYSTEM WITH DISTRIBUTION GENERATION (DG) [CASE STUDY: WUCHALE FEEDER] | en_US |
| dc.type | Thesis | en_US |
