Browsing by Author "ISLAM, MOHAMMAD SAIFUL"

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    Design And Implementation Of An Arduino Based Solar Powered Weather Station
    (Department of Electrical and Electronic Engineering, 2018-08) SAHEEL, FAHIM ASHBAB; ISLAM, MOHAMMAD SAIFUL
    Weather is the state of the atmosphere and is a very essential part of human life. An important thing like living in a place or scientific experiments depends on weather of that particular area or state or room. For these, people need atmospheric measurements of temperature, humidity, pressure etc. and this information is providing by weather stations. This paper describes the approach to set up a weather station based on Arduino. The main attributes of this weather station is to measure the surrounding atmospheric readings of weather. These readings will be collected by some sensors which are temperature and humidity sensor (THD), barometric pressure sensor. A wifi module is also used in this weather station to maintain a connection to the internet to get more informations like sunrise, sunset, rainfall and wind speed. All these readings will be displayed on a LCD display and every steps of this station is directed by an arduino mega microcontroller. A matrix keypad is used in here to help the users to view the readings of current weather update, predictions of today and tomorrow easily. Also this weather station is powered by solar panel.
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    Design Of Robust Pss In Multimachine Power Systems Using Dragonfly Algorithm And Jellyfish Search Algorithm
    (Department of Electrical and Electronic Engineering, 2022-04) AZAM, MD. SAMIUL; ISLAM, MOHAMMAD SAIFUL
    In interconnected power system networks, due to the weak tie lines between the generators, low frequency oscillations (LFO) are introduced into the system. LFOs have been a serious concern for engineers for decades, as they cause the system to be unstable by reducing the damping torque if LFOs are not damped out rapidly. This thesis represents two new methods of modeling robust power system stabilizers (PSS) for multimachine networks using the dragonfly algorithm (DA) and jellyfish search algorithm (JSA). The proposed methods dampens LFOs by modifying the key parameters of traditional lead-leg type power system stabilizers (CPSS) using the DA and JSA optimization methods. For both models, maximizing the minimum damping ratio is considered as the objective function. These models are evaluated on a two-area four-machine network and an IEEE-39 bus network that are subject to a 3-ϕ fault. For the same networks, the results are compared to backtracking search algorithm (BSA) and particle swarm optimization (PSO). Comparative study shows that the DA and JSA based models gives better system damping performance compared to BSA and PSO optimized methods, which demonstrates that the proposed models are reliable and robust.