Electrical Computer Engineering

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    Reliability Enhancement and Power Loss Reduction in Distribution System by Optimal Reconfiguration (A case study of Kombolcha Distribution Network)
    (Hawassa University, 2020-10-26) DEGAREGE ANTENEH YALEW
    The purpose of power system is to provide an adequate and secured electrical supply to its customers as economical as possible with reasonable level of reliability. In distribution system, reliability and power loss are the major issues for the consumers and utility. This thesis presents a research work on the reliability assessment and optimal reconfiguration of Kombolcha radial distribution network to minimize the overall distribution losses, to enhance reliability and improve the voltage profile by using a proposed MSSO algorithm and ETAP. In the power flow analysis, the effectiveness of the proposed MSSO algorithm is conducted and compared in two cases (before reconfiguration and after reconfiguration) of Kombolcha distribution at line-3, which is severe. A modeling of electrical system elements were first developed to have a complete single line diagram of the existing network using ETAP. The reliability enhancement is measured and analysis by different reliability indices that include SAIFI, SAIDI and EENS. Reliability index values have been compared with standard benchmark values and comparison clearly indicates that Kombolcha feeder-3 distribution system is extremely unreliable. Generally, after optimal reconfiguration of the network, power loss of the system is minimized by 60%, SAIFI has been reduced by 85% as compared with the average reliability index value of the system in the base years. Similarly, SAIDI and EENS have been reduced by 86% and 70% respectively.
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    OPTIMAL PLACEMENT OF SOLAR DISTRIBUTED GENERATION FOR RELIABILITY IMPROVEMENT IN DISTRIBUTION NETWORKS USING WHALE OPTIMIZATION ALGORITHM (CASE STUDY: BISHOFTU SUBSTATION 2
    (Hawassa University, 2025-05-12) HIKMA NUREDIN
    The power distribution system in Bishoftu, Ethiopia, is faced with significant reliability challenges, including frequent interruptions, overloading, and poor performance that fall below national standards. These issues are caused by increasing load demand and inefficient system management. To address these challenges, the integration of solar-based distributed generation (DG) was investigated as a solution to enhance the reliability of the Bishoftu Substation. The K9 feeder, which exhibits the most severe reliability issues, was selected for this study, with initial reliability indices of SAIFI = 363.5 interruptions/customer/year and SAIDI = 803.14 hours/customer/year, far exceeding the national standards of SAIFI = 20 and SAIDI = 25. The Whale Optimization Algorithm (WOA) was utilized in MATLAB to determine the optimal sizing and placement of DG units, with the aim of minimizing SAIFI and SAIDI. Solar energy was identified as the most viable DG option based on local solar irradiance data. Significant improvements were demonstrated through optimization, with SAIFI and SAIDI reduced by up to 86% and 87% respectively, achieving values of SAIFI = 50.89 interruptions/customer/year and SAIDI = 104.4 hours/customer/year. An economic analysis was also conducted to evaluate the initial investment and life cycle costs, ensuring the feasibility of the proposed solution. It was concluded that the integration of optimally sized and placed solar DG units can drastically improve system reliability, reduce interruptions.