Electrical Engineering

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https://hdl.handle.net/20.500.14540/17052

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Browsing Electrical Engineering by Subject "MATLAB,"

Now showing 1 - 2 of 2
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    ACTIVE CELL BALANCING APPROACH FOR EFFICIENT BATTERY MANAGEMENT SYSTEM
    (I.O.E. Pulchowk Campus, 2023-06) Sharma, Aakriti; Adhikari, Anusha; Adhikari, Bibek; Pandey, Pratik
    This project proposes a novel approach for improving the efficiency of battery management systems through active cell balancing using the Kalman filter algorithm and build a hardware prototype model for testing and validation of the results. The goal of this project is to develop a system that can extend the lifespan of batteries by ensuring that each cell is charged and discharged evenly. The proposed system includes an active balancing circuit that uses the Kalman filter algorithm to estimate the state of each battery cell and determine the optimal charging and discharging currents. This approach is designed to reduce the energy loss associated with passive balancing circuits, which can be a significant source of inefficiency in battery management systems. The project includes simulation studies using MATLAB and Simulink and experimental results to demonstrate the effectiveness of the proposed system. The simulation studies will be conducted to optimize the design of active balancing circuit and Kalman filter. The experimental results confirm the effectiveness of the Kalman filter algorithm in estimating the state of each battery cell and optimizing the charging and discharging currents. The experimental studies will involve testing hardware prototype model using actual battery cells and the developed active balancing system.
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    HOURLY LOAD SHIFTING APPROACH FOR DEMAND SIDE MANAGEMENT
    (I.O.E. Pulchowk Campus, 2023-04) CHAUDHARY, DINESH; ARYAL, PRATIBHA; CHAUDHARY, SUSHIL; GIRI, UJWAL
    The generation capacity of power stations is limited, and electricity consumption varies throughout the day, with high demand during peak hours and lower demand during offpeak hours. Balancing the supply of electrical power according to the load is essential, and simply increasing the number of generation units is not the sole solution to meet the increasing demand. Demand Side Management (DSM) offers a solution by optimizing load patterns instead of solely relying on increasing power output. DSM enables customers to save on energy bills while ensuring network operators maintain network reliability and avoid unexpected surges in demand that can lead to power outages. By scheduling usage, DSM allows for better load balancing. This report proposes a load shifting-based demand side management strategy to reduce peak hour demand. The objective is to minimize peak demand through an optimization problem formulated in the MATLAB R2021a environment. The proposed strategy seeks to find an optimal solution that maximizes efficiency.