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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
Network reconfiguration (NR) is a widely recognized strategy for enhancing the distribution
network (DN) performance by minimizing power losses and improving the voltage profile …
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 …
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
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 …
invented by Kennedy and Eberhart in 1995. Since its birth, it has been applied to many …