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Dr.Mohammed hassan Mohammed alqahtani

Ph.D in Electrical Engineering (power systems and renewable energy) Assistant Professor Department of Electrical Engineering College of Engineering
  • Kharj
  • 011-588-8295
  • mh.alqahtani@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • PhD in Electrical Engineering- University of South Florida -2021-Dissertation: Phasor Domain Modeling of Type-III Wind Turbines

  • MSc in Electrical Engineering-University of South Florida-2016

  • BSc in Electrical Engineering- Prince Sattam bin Abdulaziz University-2012

Research Interests

  • Wind energy, solar energy, power system modeling and computing, power system optimization, power electronics, fault identification, renewable energy integration.

Experience

  • 6-2011 - 8-2011 - Design Engineer - ABB Co.Ltd

Responsibilities

  • Part-time Consultant - Vice-Rectorate for Development and Quality - Prince Sattam University (2021-2022).
  • Member of the Council of the College of Engineering - Prince Sattam University (2022-present)
  • Member of the Study Plan Development Committee for the Electrical Engineering Department (2021-2022)
  • Member of the Standing Committee for Classification and Excellence - Prince Sattam University (2021-2022).
  • Member of the Standing Committee for Improving Energy Efficiency - Project Management - Prince Sattam University (2022-present)
  • Member of the Information Technology Development and Distance Education Committee, Faculty of Engineering - Prince Sattam University (2021 - now)

Publications

  • Alqahtani, Mohammed, Zhixin Miao, and Lingling Fan. "Mixed integer programming formulation for fault identification based on MicroPMUs." International Transactions on Electrical Energy Systems (2021): e12949
  • Alqahtani, Mohammed, Zhixin Miao, and Lingling Fan. "MIP-based fault location identification using MicroPMUs." 2018 North American power symposium (NAPS). IEEE, 2018.‏
  • Alqahtani, Mohammed, Zhixin Miao, and Lingling Fan. "Induction Machines limits Identification During Abnormal Conditions Using an Optimization Algorithm." 2020 IEEE Texas Power and Energy Conference (TPEC). IEEE, 2020.
  • M. Alqahtani, Z. Miao and L. Fan, ”MIP Formulation for Type-III Wind Turbines Considering Control Limits,” 2022,North American Power Symposium (NAPS), Salt Lake City, UT, USA, 2022. (accepted).‏
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