M
Muhammad Faisal Nadeem
Researcher at University of Engineering and Technology
Publications - 11
Citations - 205
Muhammad Faisal Nadeem is an academic researcher from University of Engineering and Technology. The author has contributed to research in topics: Voltage & Renewable energy. The author has an hindex of 5, co-authored 11 publications receiving 51 citations. Previous affiliations of Muhammad Faisal Nadeem include Texas A&M University.
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Journal ArticleDOI
Comprehensive review & impact analysis of integrating projected electric vehicle charging load to the existing low voltage distribution system
TL;DR: A detailed report on the impact analysis of EV integration on the component and system levels is presented and techniques employed to effectively model the mobile nature of EV load and distributed EVs potential to provide ancillary solutions are explained.
Journal ArticleDOI
Probabilistic generation model for optimal allocation of wind DG in distribution systems with time varying load models
TL;DR: A new Weibull distribution-based time-coupled Probabilistic Generation model for optimal placement and sizing of wind DG with time varying voltage dependent (TVVD) loads and is suitable for implementing in power system planning is presented.
Journal ArticleDOI
A state-of-the-art review on topologies and control techniques of solid-state transformers for electric vehicle extreme fast charging
Yameena Tahir,Irfan Khan,Syed Rahman,Muhammad Faisal Nadeem,Atif Iqbal,Yinliang Xu,Mohammad Rafi +6 more
Proceedings ArticleDOI
A Review on Hybrid Energy Storage Systems in Microgrids
TL;DR: An overview of HESSs applications in microgrids (MGs) and a brief comparison of capacity sizing is presented, considering several constraints such as storage life span, cost and efficiency.
Proceedings ArticleDOI
Chaotic Inertia Weight Particle Swarm Optimization (CIWPSO): An Efficient Technique for Solar Cell Parameter Estimation
Arooj Tariq Kiani,Muhammad Faisal Nadeem,Ali Hassan Ahmed,Intisar Ali Sajjad,Aamir Raza,Irfan Khan +5 more
TL;DR: The Chaotic Inertia Weight Particle Swarm Optimization (CIWPSO) technique is proposed to estimate PV parameters of single and double diode and the Newton Raphson method (NRM) is employed to guide the fitness indicator towards optimal solution.