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Dilovan Muhsin Haji

Area interest

    Renewable Energy Automatic Control Electrical Engineering PV Systems

Specialties

    Electrical and Computer Engineering

Language

  • Kurdish (Native)
  • Arabic (Fluent)
  • English (Very Good)
  • Turkish (Good)

Social Links

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Conference

2021

Server Supported by Cloud and GPS based on Backpropagation

2021-11
Iraqi Academic Syndicate 2nd International Conference for pure and Applied Sciences (IICPS)
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2018

Fuzzy and P&O Based MPPT Controllers under Different Conditions

2018-10
THE 7th INTERNATIONAL IEEE CONFERENCE on RENEWABLE ENERGY RESEARCH and APPLICATIONS (ICRERA 2018) / Paris
This paper proposes different maximum power point tracking (MPPT) techniques under different conditions for standalone photovoltaic (PV) systems by using MATLAB/Simulink framework. The MPPT techniques include Fuzzy Logic Controller (FLC) which is compared with Perturb and Observation (P&O). Based upon the simulation results, the FLC based MPPT controller can track the maximum power point (MPP) faster than other suggested controller under various weather circumstances such as different level of irradiance and temperature. It also observed the intelligent based MPPT algorithms have lower rippling in power compared with conventional P&O algorithm.
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