Engineering

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https://hdl.handle.net/20.500.14540/103

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Browsing Engineering by Advisor "Karki, Nawaraj"

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    Analysis of Effects of Loading Conditions on Condition Monitoring of Induction Machines
    (I.O.E, 2024-06) Pokhrel, Chandan; Karki, Nawaraj
    effectiveness, robustness, and high efficiency. However, as with all electrical machines, they are prone to degradation over time, necessitating expensive repairs and maintenance. Detecting faults early is critical to minimizing unplanned downtime and reducing operational costs. One significant fault that can significantly impact the performance of induction machines is broken rotor bars. Broken rotor bars can lead to various undesirable effects, including increased vibration, reduced efficiency, and potential catastrophic failure if left undetected. Motor current signature analysis (MCSA) is a widely adopted technique for monitoring the condition of induction machines during normal operation. By analyzing the frequency spectrum of the stator current, MCSA provides valuable insights into the health of the machine and can detect anomalies indicative of broken rotor bars. This study specifically focuses on analyzing the stator current signals of a squirrel cage induction machine to detect and diagnose broken rotor bar faults under different load conditions. The research employs a multi-layer perceptron (MLP) model, a type of artificial neural network known for its ability to learn complex patterns, to study the impact of varying operational loads on fault detection accuracy.
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    Participation of Nepal in Real Time Market in Indian Energy Exchange: Analysis of Optimal Bidding Strategies using Machine Learning
    (I.O.E, 2024-06) Parajuli, Elina; Karki, Nawaraj
    Precise load prediction is vital for electric utilities, as it provides crucial information for scheduling power generation, managing energy distribution, and optimizing resources. Nepal Electricity Authority, is currently participating in Indian Energy Exchange’s (IEX) Day Ahead Market (DAM) for the import/export of electricity which is itself a huge milestone for Nepal but is also required to forecast their loads in 15-minute intervals a day in advance with high accuracy to bid in the energy market. To discourage excessive power drawl or insufficient power injection, a frequency-based component called the deviation settlement charge (DSM) is incorporated into the bulk electricity pricing in the IEX market. Due to in accurate load forecasting, weather changes, holidays, Nepal has also been subjected to deviation charges to account for any deviations from the agreed-upon energy transactions. RTM provide a mechanism for balancing the fluctuations in supply and demand by allowing market participants to adjust their electricity purchases or sales in response to changing conditions. It also provides more flexibility and responsiveness compared to day-ahead markets, which can help grid operators manage their systems more effectively. Therefore, RTM bidding in addition to Day Ahead Market bidding is of paramount importance to handle this deviation.
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    Reliability Enhancement of Electric Distribution Network Using Optimal Placement of Distributed Generation: A Case Study of 33/11 KV Udipur Substation Distribution feeders, Lamjung.
    (I.O.E, 2024-06) Acharya, Bibas Raj; Karki, Nawaraj
    Reliability can be considered as the capability of system to survive. Currently, consumers are demanding reliable and cheaper power supply with reduced interruption duration. It's widely acknowledged that nearly 90% of electricity interruptions generates from faults within the electric distribution system. Distributed generation (DG) emerges as a novel solution, strategically locating power generation closer to where it's needed most—load centers. By adopting DG, we can effectively mitigate reliability challenges within distribution systems while fostering a more resilient and efficient energy delivery framework. The primary cause of customer service disruptions stems from faults within the distribution system, particularly on radial distribution feeder lines. Additional contributing factors include adverse weather conditions such as windy rain, incidents involving animals, and intrusion from tree branches. These various elements collectively contribute to interruptions in customer service. This study focuses on integrating Distributed Generation (DG) into distribution systems to assess its impact on reliability. Optimal placement of DG is a critical design consideration significantly influencing distribution system reliability.