Browsing by Author "Baseem Khan"

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An accurate parameters identification of solar PV models using a modified exponential distribution optimization
(Springer Science and Business Media Deutschland GmbH, 2024) Ayyarao S. L. V. Tummala; Baseem Khan; Ahmed Ali; Aanchal Verma; M.P.S. Chawla
This paper presents a new metaheuristic algorithm called Exponential Distribution Optimization, which is based on mathematics and can effectively identify parameters for a solar photovoltaic (PV) mathematical model that closely approximates a real-life PV cell or module. The algorithm works in tandem with the Newton–Raphson method to address nonlinear equations, generating an objective function that minimizes the root mean square error (RMSE) between experimentally measured and estimated currents. To improve its convergence capability, the algorithm incorporates a nonlinear weight updating mechanism that adjusts the weights assigned to each member during the optimization process and this adaptive mechanism enables the algorithm to efficiently converge to the global optimal solution. The proposed approach is evaluated using two widely recognized benchmark models, and its performance is compared with that of other recent and contemporary algorithms in the literature. The proposed algorithm, modified Exponential Distribution Optimization Algorithm (mEDOA) achieves an RMSE values of 7.7298E-04 for the single diode PV model, 7.444E-04 for the double diode PV model and 7.3531E-04 for the triple diode PV model. The evaluation results demonstrate that the mEDOA surpasses other algorithms in consistency, accuracy, robustness, and speed. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
Design and dynamic analysis of superconducting magnetic energy storage-based voltage source active power filter using deep Q-learning
(Springer Science and Business Media Deutschland GmbH, 2024) M. Mangaraj; Ramana Pilla; Polamarasetty P. Kumar; Ramakrishna S. S. Nuvvula; Aanchal Verma; Ahmed Ali; Baseem Khan
The voltage source active power filter (VS-APF) is being significantly improved the dynamic performance in the power distribution networks (PDN). In this paper, the superconducting magnetic energy storage (SMES) is deployed with VS-APF to increase the range of the shunt compensation with reduced DC link voltage. The proposed SMES is characterized by the physical parameter, inductive coil, diodes and insulated gate bipolar transistors (IGBTs). The deep Q- learning (DQL) algorithm is suggested to operate SMES based VS-APF for the elimination of harmonics under different loading scenarios. Apart from this, the other benefits like improvement in power factor (PF), load balancing, potential regulation are attained. The simulation studies obtained from the proposed method demonstrates the correctness of the design and analysis compared to the VS-APF. To show the power quality (PQ) effectiveness, balanced and unbalanced loading are considered for the shunt compensation as per the guidelines imposed by IEEE-519-2017 and IEC-61000-1 grid code by using dSPACE-1104-based experimental study. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.
Performance analysis of dual stator six-phase embedded-pole permanent magnet synchronous motor for electric vehicle application
(John Wiley and Sons Inc, 2023) Raja Ram Kumar; Priyanka Devi; Chandan Chetri; Ankita Kumari; Papu Moni Saikia; Ram Khelawan Saket; Kundan Kumar; Baseem Khan
The motive of this study is to analyse the characteristics of a novel dual-stator embedded-pole six-phase permanent magnet synchronous motor for the application of electric vehicles. A comparative analysis of two separate motor topologies, namely, dual stator embedded-pole six-phase permanent magnet synchronous motor and single stator single rotor surface-mounted permanent magnet synchronous motor, is accomplished to illustrate the performance superiority of the proposed motor. Furthermore, for optimal designing of the proposed motor, a design methodology has also been presented. For the above application, the motor should retain high torque density (HTD) and high reliability. In this regard, a novel H-Shaped flux barrier is introduced in the rotor portion, which fulfils the requirement of HTD. Moreover, the availability of two sets of the stator winding enhances the performance efficiency and ensures the proposed motor's more significant fault-tolerating ability of the motor. For performance evaluation, the Finite Element Method analysis is chosen, as it gives appropriate and precise results. From the above analysis, it is concluded that the HTD and the proposed motor's dynamic performance are better than the above-mentioned conventional motor. © 2022 The Authors. IET Electrical Systems in Transportation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.