Y
Yasir Muhammad
Researcher at COMSATS Institute of Information Technology
Publications - 13
Citations - 226
Yasir Muhammad is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: AC power & Electric power system. The author has an hindex of 5, co-authored 9 publications receiving 87 citations. Previous affiliations of Yasir Muhammad include University of Engineering and Technology, Peshawar.
Papers
More filters
Journal ArticleDOI
Solution of optimal reactive power dispatch with FACTS devices: A survey
Yasir Muhammad,Rahimdad Khan,Muhammad Asif Zahoor Raja,Muhammad Asif Zahoor Raja,Farman Ullah,Naveed Ishtiaq Chaudhary,Yigang He +6 more
TL;DR: A new computational tool based on fractional calculus has also been introduced for performance improvement of traditional swarming techniques to support researchers in field of energy/power sector and carry out further research.
Journal ArticleDOI
Design of fractional swarming strategy for solution of optimal reactive power dispatch
Yasir Muhammad,Rahimdad Khan,Farman Ullah,Ata Ur Rehman,Muhammad Saeed Aslam,Muhammad Asif Zahoor Raja +5 more
TL;DR: Comparison of the results shows that fractional swarming intelligence outperformed the state-of-the-art counterparts by means of both line loss minimization and voltage deviation.
Journal ArticleDOI
Design of Fractional Swarm Intelligent Computing With Entropy Evolution for Optimal Power Flow Problems
Yasir Muhammad,Rahimdad Khan,Muhammad Asif Zahoor Raja,Farman Ullah,Naveed Ishtiaq Chaudhary,Yigang He +5 more
TL;DR: The results show that synergy of both, the Shannon entropy and the fractional calculus can be used as the useful tools for enhancing the optimization strength of algorithm while solving the ORPD problems in standard IEEE 30 and 57 bus power systems.
Journal ArticleDOI
Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems
TL;DR: A new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism for optimal RPD problems.
Journal ArticleDOI
Design of fractional evolutionary processing for reactive power planning with FACTS devices.
Yasir Muhammad,Rizwan Akhtar,Rahimdad Khan,Farman Ullah,Muhammad Asif Zahoor Raja,Muhammad Asif Zahoor Raja,J. A. Tenreiro Machado +6 more
TL;DR: In this article, a fractional evolutionary approach is proposed to achieve the desired objectives of reactive power planning by incorporating flexible alternating current transmission systems (FACTS) devices, and two compensation arrangements are possible: the shunt type compensation, through Static Var compensator (SVC) and the series compensation through the Thyristor controlled series compensators (TCSC).