A novel radiality maintenance algorithm for the metaheuristic based co-optimization of network reconfiguration with battery storage

MA Iqbal, R Zafar - IEEE Access, 2023 - ieeexplore.ieee.org
Network reconfiguration (NR) is a well-accepted technique to decrease power losses and
enhance the voltage profile of the distribution network. The practical challenges in solving …

Accelerated Particle Swarm Optimization Algorithms Coupled with Analysis of Variance for Intelligent Charging of Plug-in Hybrid Electric Vehicles

K Bakht, SAR Kashif, MS Fakhar, IA Khan, G Abbas - Energies, 2023 - mdpi.com
Plug-in hybrid electric vehicles (PHEVs) and plug-in electric vehicles (PEVs) have gained
enormous attention for their ability to reduce fuel consumption in transportation and are …

A new fast deterministic economic dispatch method and statistical performance evaluation for the cascaded short-term hydrothermal scheduling problem

MA Iqbal, MS Fakhar, N Ul Ain, A Tahir, IA Khan… - Sustainability, 2023 - mdpi.com
The Cascaded Short-Term Hydrothermal Scheduling (CSTHTS) problem is a highly non-
linear, multi-modal, non-convex, and NP-hard optimization problem that has been solved by …

Introducing adaptive machine learning technique for solving short-term hydrothermal scheduling with prohibited discharge zones

S Akram, MS Fakhar, SAR Kashif, G Abbas, N Ullah… - Sustainability, 2022 - mdpi.com
The short-term hydrothermal scheduling (STHTS) problem has paramount importance in an
interconnected power system. Owing to an operational research problem, it has been a …

Analyzing the performance of metaheuristic algorithms in speed control of brushless DC motor: Implementation and statistical comparison

F Shafique, MS Fakhar, A Rasool, SAR Kashif - Plos one, 2024 - journals.plos.org
A brushless DC (BLDC) motor is likewise called an electrically commutated motor; because
of its long help life, high productivity, smaller size, and higher power output, it has numerous …

A stochastic numerical approach for a class of singular singularly perturbed system

Z Sabir, T Botmart, MAZ Raja, W Weera, F Erdoğan - Plos one, 2022 - journals.plos.org
In the present study, a neuro-evolutionary scheme is presented for solving a class of
singular singularly perturbed boundary value problems (SSP-BVPs) by manipulating the …

Adaptive Layers Based Atomic Orbital Search for the Co-Optimization of Network Reconfiguration with Battery Storage

MA Iqbal, R Zafar, HR Pota - 2024 IEEE 34th Australasian …, 2024 - ieeexplore.ieee.org
Network reconfiguration (NR) is a widely recognized strategy for enhancing the distribution
network (DN) performance by minimizing power losses and improving the voltage profile …

Impact of Constraint Handling on the Performance of Differential Evolution for Cascaded Short-term Hydrothermal Scheduling

MA Tariq, MS Fakhar, SAR Kashif… - 2022 International …, 2022 - ieeexplore.ieee.org
Cascaded short-term hydrothermal scheduling (CSTHTS) is a multimodal optimization
problem having many constraints. Different observations suggest that in addition to …

Impact of Constraint Handling on the Performance of PSO on CSTHTS Problem: An Improvement in Results

MS Fakhar, MA Iqbal, SAR Kashif… - 2022 International …, 2022 - ieeexplore.ieee.org
Particle Swarm Optimization (PSO) is a brilliant swarm intelligence-based algorithm
invented by Kennedy and Eberhart in 1995. Since its birth, it has been applied to many …