Dr. Ammar Arshad

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Dr. Ammar Arshad

Assistant Professor

Qualifications: Ph.D. Electrical Engineering, Aalto University, Finland (2019), M.Sc Electrical Engineering (Major: Electrical Systems), Aalto University, Finland (2016), B.Sc Electrical Engineering, UET Lahore (2013)

Research Interests: Smart Grid, Voltage control, Demand Response, Multi-Agent Systems, Voltage flicker, Photovoltaic hosting capacity in distribution networks

Courses Offered

Undergraduate Courses

  1. EE212 | Electrical Network Analysis
  2. EE312 | Power Distribution and Utilization
  3. EE313 | Power Generation and Transmission
  4. PE452 | Power System Protection
  5. PE453 | Power System Operation and Control
  6. PE445 | Power Plant Engineering

Graduate Courses

  1. EE517 | Power Distribution System Modeling and Simulation
Refereed Journal Publications

12) N. Qamar, A. Arshad, R.J. Millar, K. Mahmoud, & M. Lehtonen, “Probabilistic Hosting Capacity Assessment Towards Efficient PV-Rich Low -Voltage Distribution Networks”, Electric Power System Research (EPSR)

11) N. Qamar, A. Arshad, R.J. Millar,  K. Mahmoud, & M. Lehtonen, “Machine Learning Based Hosting Capacity Determination Methodology for Low Voltage Distribution Networks”, IET Generation, Transmission and Distribution, https://doi.org/10.1049/gtd2.12933.

10) N. Qamar, A. Arshad, K. Mahmoud, & M. Lehtonen, “Hosting capacity in distribution grids: A review of definitions, performance indices, determination methodologies, and enhancement techniques”, Energy Science & Engineering, 11(4), 1536-1559, 2023.

9) D. A. Khan, A. Arshad, M. Lehtonen, and K. Mahmoud, “Combined DR Pricing and Voltage Control Using Reinforcement Learning Based Multi-Agents and Load Forecasting,” in IEEE Access, vol. 10, pp. 130839-130849, 2022.

8) M. Zakir, A. Arshad, H. A. Sher, A. Al-Durra,” Design and implementation of a fault detection method for a PV-fed DC-microgrid with power control mechanism,” IET Electric Power Applications, vol. 16, no. 9, p. 1057-1071, Sept. 2022

7) Muhammad Zakir, Hadeed Ahmed Sher, Ammar Arshad, Matti Lehtonen, “A fault detection, localization, and categorization method for PV fed DC-microgrid with power-sharing management among the nano-grids”, International Journal of Electrical Power & Energy Systems, Volume 137, 2022, 107858, ISSN 0142-0615, https://doi.org/10.1016/j.ijepes.2021.107858.

6)  Fatima, Samar, Verner Püvi, Ammar Arshad, Mahdi Pourakbari-Kasmaei, and Matti Lehtonen. 2021. “Comparison of Economical and Technical Photovoltaic Hosting Capacity Limits in Distribution Networks” Energies 14, no. 9: 2405.

5)  A. Arshad and M. Lehtonen, “A comprehensive voltage control strategy with voltage flicker compensation for highly PV penetrated distribution networks,” Electric Power System Research, vol. 172, pp. 105-113, 2019.

4)  A. Arshad and M. Lehtonen, “A stochastic assessment of PV hosting capacity enhancement in distribution network utilizing voltage support techniques,” IEEE Access, vol. 7, pp. 46461-46471, 2019.

3)  A. Arshad, J. Ekstrom, and M. Lehtonen, “Multi-agent based distributed voltage regulation scheme with grid-tied inverters in active distribution networks,” Electric Power System Research, vol. 160, pp. 180-190, 2018.

2)  A. Arshad, V. Püvi and M. Lehtonen, “Monte Carlo based comprehensive assessment of PV hosting capacity and energy storage impact in realistic Finnish low voltage networks,” Energies, vol. 11, issue 6, 1467, 2017.

1)  A. Arshad, M. Lindner, and M. Lehtonen, “An analysis of photo-voltaic hosting capacity in Finnish low voltage distribution networks,” Energies, vol. 10, issue 11, 1702, 2017.


Selected Conference Publications

9) Waleed, M. M. Ashraf, A. Arshad “Artificial hummingbird algorithm based dynamic generation expansion planning considering renewable energy sources,” International Conference on Emerging Power Technologies (ICEPT), Topi, Pakistan, 2023.

8) Haseeb, M. M. Ashraf, A. Arshad “Emission constrained generation expansion planning considering site dependent renewable energy sources of Pakistan,” International Conference on Emerging Power Technologies (ICEPT), Topi, Pakistan, 2023.

7) D. A. Khan, A. Arshad, and Z. Ali, “Performance Analysis of Machine Learning Techniques for Load Forecasting,” 2021 16th International Conference on Emerging Technologies (ICET), 2021, pp. 1-6, DOI: 10.1109/ICET54505.2021.9689903.

6) M. Zakir, A. Arshad, H. Sher, and M. Lehtonen, “An Optimal Power Management System Based on Load Demand and Resources Availability for PV Fed DC-Microgrid with Power-Sharing among Multiple Nanogrids” IEEE PES ISGT Conference Europe, Helsinki, 18-21 Oct. 2021.

5)  S. O. Shah, A. Arshad, and S. Alam, “Reactive Power Compensation Utilizing FACTS Devices,” 2021 International Conference on Emerging Power Technologies (ICEPT), 2021, pp. 1-6.

4) A. Arshad and M. Lehtonen, “Instantaneous Flicker Control Strategy with OLTC-Fitted Distribution Transformers in LV Networks,” 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2020, pp. 544-548,

3) A. Arshad and M. Lehtonen, “Probabilistic Assessment of Photovoltaic Hosting Capacity in Finnish LV Network,” IEEE PES ISGT Conference Europe, Bucharest, 29th Sept.  2nd Oct. 2019.

2) A. Arshad and M. Lehtonen, “Instantaneous Active/Reactive Power Control Strategy for Flicker Mitigation under High PV Penetration,” IEEE PES ISGT Conference Europe, Sarajevo, 21st-25th Oct. 2018.

1) A. Arshad and M. Lehtonen, “Multi-agent system based distributed voltage control in medium voltage distribution systems,” 17th International Scientific Conference on Electric Power Engineering (EPE), Prague, 16th-18th May 2016.



Graduate Supervision

MS Students

Sr. #Student nameThesisRolePublished work
4)Naveed Qamar (2023)Machine Learning-Based PV Hosting Capacity Determination of Low Voltage Distribution NetworksSupervisorJ10, J11, J12
3)Danyal Afghan(2022)Multi-Agent-Based Demand Response and Voltage Control in Distribution NetworksSupervisorC7, J9
2)Muhammad Zakir (2021)A Fault Finding Method for DC MicrogridCo-SupervisorJ7, C6, J8
1)Syed Osama Shah (2020)Reactive Power Compensation Utilizing FACTS DevicesCo-SupervisorC5