Muhammad Abdullah
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Muhammad Abdullah has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Ali Ahmed
Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila 47080, Pakistan
1 shared publication - Irfan Khan
Texas A&M University
1 shared publication - Muhammad Faisal Nadeem
Department of Electrical Engineering University of Engineering and Technology (UET) Taxila Taxila Pakistan
1 shared publication - Rui Bo
Missouri University of Science and Technology
1 shared publication - Tahir Nadeem Malik
Department of Electrical Engineering, HITEC University, Taxila, Pakistan
1 shared publication
Latest Publications
- Open Access
A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment
The power quality of the Electrical Power System (EPS) is greatly affected by electrical harmonics. Hence, accurate and proper estimation of electrical harmonics is essential to design appropriate filters for mitigation of harmonics and their associated effects on the power quality of EPS. This paper presents a novel statistical (Least Square) and meta-heuristic (Grey wolf optimizer) based hybrid technique for accurate detection and estimation of electrical harmonics with minimum computational time. The non-linear part (phase and frequency) of harmonics is estimated using GWO, while the linear part (amplitude) is estimated using the LS method. Furthermore, harmonics having transients are also estimated using proposed harmonic estimators. The effectiveness of the proposed harmonic estimator is evaluated using various case studies. Comparing the proposed approach with other harmonic estimation techniques demonstrates that it has a minimum mean square error with less complexity and better computational efficiency.
Open AccessA Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment
The power quality of the Electrical Power System (EPS) is greatly affected by electrical harmonics. Hence, accurate and proper estimation of electrical harmonics is essential to design appropriate filters for mitigation of harmonics and their associated effects on the power quality of EPS. This paper presents a novel statistical (Least Square) and meta-heuristic (Grey wolf optimizer) based hybrid technique for accurate detection and estimation of electrical harmonics with minimum computational time. The non-linear part (phase and frequency) of harmonics is estimated using GWO, while the linear part (amplitude) is estimated using the LS method. Furthermore, harmonics having transients are also estimated using proposed harmonic estimators. The effectiveness of the proposed harmonic estimator is evaluated using various case studies. Comparing the proposed approach with other harmonic estimation techniques demonstrates that it has a minimum mean square error with less complexity and better computational efficiency.