Electrical Computer Engineering

Permanent URI for this collectionhttps://etd.hu.edu.et/handle/123456789/74

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Subject: search.filters.subject.Optimization

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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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    A MICROGRID ENERGY MANAGEMENT SYSTEM IMPLEMENTSTION USING MIXED-INTEGER LINEAR PROGRAMMING
    (Hawassa University, 2020-04-27) SINTAYEHU TERBUSH
    The ever continued growth and development of distributed generation (DG) in the electrical grid system led to the increasing expansion of microgrids across the world. Microgrid is distributed power generation units, energy storage devices, and controllable loads with the capability to operate in both grid-connected and island modes. Microgrid's economic operation is achieved through an energy management system that optimally schedules distributed generations and storage devices and continuously balances supply and demand. In this paper, a formulation of optimal unit commitment and dispatch scheduling of DGs in a grid-connected microgrid is presented. Mixed-integer linear programming (MILP) is used to carry out the optimal resource scheduling model. The goal is to reduce the overall operating cost of the system by optimally utilizing an energy storage device and a diesel generator unit by using load and renewable energy generation prediction. Operational constraints such as generation limits of DGs, battery charging/discharging limits, and state of charge (SOC) limits to be satisfied during all intervals of operation. Simulation results indicate that the operational cost of the system is effectively reduced through optimal scheduling of an energy storage system and a diesel Genset unit using the proposed strategy
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    THESIS ON DESIGN OF OPTIMAL TEMPERATURE CONTROLLER FOR INCUBATOR SYSTEM USING MODEL PREDICTIVE CONTROL
    (Hawassa University, 2020-10-17) HABTEMARIUM HAILU
    Thesis was presents the design of optimal temperature controller for egg incubator system using model predictive control. Egg incubator is the technology which play important role in the modern agricultural practice by providing temperature at optimal level. The mathematical model of an egg incubator developed in this thesis was using the laws of conservation of heat and mass. Linear Quadratic Regulator (LQR) algorithm used to design the model predictive control (MPC) to control egg incubator system that was utilized explicit process model to predict the future response of an egg incubator system. At each control interval, an MPC procedure attempts to optimize future temperature of egg incubator system behavior was computed the sequence of future manipulated variable adjustments. The basic MPC controller for egg incubator system could be designed with proper limit on the prediction horizon and model length. And also in this thesis the prediction horizon has to be kept sufficiently larger than control horizon. The MATLABTM software have been used to assess and simulate the overall behavior of the optimal temperature control of egg incubator system parameters. The simulation result shows that the temperature at the optimal thermal factors are achieved when egg temperature remains in the range between 36 - 38°C throughout the incubation period when using an egg incubator. Finally the thesis was completed by simulation result, conclusion and recommendation.