Thesis/Dissertation Repository Engineering School Islamabad: Recent submissions

  • 2D SEISMIC INTERPRETATION AND PETROPHYSICAL ANALYSIS OF KABIRWALA AREA, CENTRAL INDUS BASIN, PAKISTAN 
    MUHAMMAD NIAZ, 01-262191-015 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2021)
    Kabir wala area is prominent in the central Indus basin for its hydrocarbon (oil and gas) structural traps. The present study pertains to integrated seismic interpretation with seismic inversion and Petrophysical analysis. ...
  • SEISMIC INVERSION AND PETROPHYSICAL ANALYSIS OF MUBARAK AREA,CENTRAL INDUS BASIN,PAKISTAN 
    ANUM ASHTIAQ, 01-262192-022 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2021)
    Mubarak block is present in Ghotki area Sindh,Central Indus basin.Due to extensional tectonic regime normal faults are present in this area.Jurrasic to most recent rocks are present in its stratigraphic sequence.The most ...
  • STATIC EARTHQUAKE TRIGGERING AND SEISMIC HAZARD ASSESSMENT OF SULAIMAN LOBE, CENTRAL INDUS BASIN, PAKISTAN 
    AIZA AMJAD, 01-262192-021 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2021)
    The purpose of this study is the seismic hazard assessment of Sulaiman lobe, Central Indus Basin, Pakistan. The curve-shaped Chaman transform fault, ~1000km long, the major active fault between Pakistan and Afghanistan ...
  • RESERVOIR EVALUATION THROUGH COMPARATIVE INVERSION TECHNIQUES, GAMBAT BLOCK, LOWER INDUS BASIN, PAKISTAN 
    UROOSA AHMED, 01-262191-020 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2021)
    Geologically Tajjal Gas Field (Gambat Block) lies in Lower Indus Basin -a proven Geological Province in the Islamic Republic of Pakistan. The field was discovered by OMV Pakistan and is one of the productive fields. The ...
  • Maximum Power Point Tracking of PV arrays under partial shading conditions using improved algorithm 
    MUHAMMAD HAMMAD SAFDAR, 01-244191-013 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    Numerous peaks in Power vs Voltage (P – V) curve characteristic Photovoltaic arrays occurs thanks to partial shading or blurring effects. Maximum Power Point Tracker probably not be ready to locate Global peak (GP) within ...
  • MODELLING OF NON-UNIFORM HETEROGENEOUS CELLULAR NETWORK FOR 5G AND BEYOND NETWORKS 
    ANUM ZAHRA, 01-244191-023 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    With the growth of IoT in world during the past two decades, utilization of internet and devices connected to internet are increasing. These internets of connected things require high data speed, better coverage, less ...
  • OPTIMAL ALLOCATION OF DISTRIBUTED GENERATORS INTO SEVERAL ELECTRICAL NETWORKS BASED ON DG TYPES 
    SHAROZE SOHAIL, 01-244192-012 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    The increase in day-by-day load demand, the distribution systems catch attention to get enhanced and improved from last past years. The Voltage drop and Power Losses can be minimized by the (DGs) optimal allocation in ...
  • FAULT DIAGNOSIS OF PV MODULE DURING MPP TRACKING FOR DISTRIBUTED MPP CONTROLLER 
    AFRASYAB ALI KHAN, 01-244191-002 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    In order to, overcome the problem of conventional (P&O) algorithm. In this thesis I have used neural network to track the MPP in short time. This overcomes the problem of large number of central periods required for MPPT. ...
  • INVESTIGATION AND ANALYSIS OF LOW FREQUENCY OSCILLATIONS IN 500/220KV NETWORK OF PAKISTAN 
    ASAD ALI KHOKHAR, 01-244192-015 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    Generation expansion in the southern part of Pakistan by installing three coal-fired power plants of almost 3100MW, have not only enhanced the capability of the generation system but also have provided a cheap source of ...
  • FAULT DIAGNOSIS IN PV MODULES DURING FIELD OPERATION WITHOUT PERFORMING SPECIALIZED DIAGNOSTIC TESTS 
    MUHAMMAD HAMZA SAEED, 01-244191-014 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    In these days the diagnostic about the state of health of PV module is done through EL and IRT imaging. These techniques are quite expensive and at the time very difficult to perform. Practically very little research has ...
  • OPTIMUM ENERGY MANAGEMENT SYSTEM IN SMART GRID POWER SYSTEM USING QDSA 
    SHARJEEL NISAR, 01-244191-016 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    The conventional grid is insufficient to handle the modern day challenges as the modern grid demands the conventional grid to be more flexible, cost efficient and more trust worthy. The concept of smart grid is emanated ...
  • DEMAND SIDE MANAGEMENT IN SMART GRID POWER SYSTEM USING HYBRID BACTERIAL FORAGING AND GENETIC ALGORITHM 
    ABDUL REHMAN, 01-244191-020 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    In modern days, old fashioned power grids are deficient and they required modernized form of technology which can fulfill all the requirements like cost, reliability and resilient These demands force the society to think ...
  • SPEED CONTROL OF A PERMANENT MAGNET SYCHRONOUS MOTOR USING A ROBUST NONLINEAR CONTROLLER 
    AHMAD YOUSHA, 01-244191-003 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    In the presented research work, a sliding mode controller (SMC) combined with a linear quadratic regular (LQR) has proposed to design a new controller that will use for controlling the speed of the permanent magnet synchronous ...
  • DG Allocation in Power Systems for Voltage Profile and Power Loss Improvement 
    MUHAMMAD JUNAID, 01-244191-025 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    The Distribution system face the problem of Power Loss and Voltage drop. The Power Losses and Voltage Drop can be minimized by optimal allocation of Distributed Generators (DGs) in the distribution network. Therefore, ...
  • OPTIMAL COMMUNAL DEMAND RESPONSE PROGRAM USING BATTLE ROYALE OPTIMIZATION ALGORITHM 
    NADEEM KHAN, 01-244191-015 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    Presently, power distribution structure depends on conventional design of power grid and deployment which is not fulfilling the energy requirement of the 21stcentury. As the electrical system is shifting from conventional ...
  • Simulation & Modeling of 3-D Solar Irradiance for Improved EV Performance 
    Muhammad Aleem Uz Zaman, 01-244191-021 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    With the recent development and success of Vehicle integrated photovoltaic (VIPV), the efficiencies and power capacities of EVs (electric vehicles) and PHVs (plugin hybrid vehicles) has extremely improved. Especially VIPV ...
  • HARDWARE IMPLEMENTATION OF CONVOLUTIONAL NEURAL NETWORKS FOR MODULATION CLASSIFICATION 
    ADNAN JANNAT, 01-244191-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    In modern wireless communication, adaptive devices are needed to overcome different challenges. Adding artificial intelligence to these adaptive devices can further increase their capabilities. One of its aspects is that ...
  • PREDICTION OF KPIs RELATED TO CLOs/PLOs 
    FAHAD HASSAN ZAMAN, 01-244192-003 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    Knowledge is one of the key elements through which a provides a familiarity, understanding and awareness of different facts, skills, and entity. Unfortunately, nowdays knowledge institutes are operational just for the ...
  • MODEL PREDICTIVE CONTROL OF BIDIRECTIONAL AC-DC CONVERTER FOR ENERGY STORAGE SYSTEM 
    SOHAIL AZIZ, 01-244201-011 (Electrical Engineering, Bahria University Engineering School Islamabad, 2022)
    In this paper, the Algorithm of Model Predictive Control for controlling bi-directional AC to DC converters and their optimization in Energy Systems is proposed to enhance the efficiency and transfer of power in Energy ...
  • Fake News Detection Using Deep Learning 
    Rafi Ullah Khan, 01-242182-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)
    Classification of fake news content is one of the challenging problems of Natural Language Processing (NLP). In classification of fake news detection, the classes of true and fake news are predefined in which the news ...

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