https://adrjournalshouse.com/index.php/Modelling-Simulation-operations/issue/feed 2026-03-24T10:58:00+00:00 Sergey Garchenko sergeygarchenko82@gmail.com Open Journal Systems Journal of Advanced Research in Modeling and Simulation is devoted to the publication of original scientific research findings, methodological developments, and opinions in the form of original and review articles, brief reports, letters to the editor, proceedings of symposia, debates, etc. About the Journal: The Journal mainly focuses on the allied areas: Vehicle Systems Modeling and Testing, Mathematical Modeling and Numerical Optimization, Modeling, Identification and Control, Dynamical Systems and Differential Equations, Simulation and Process Modeling, Computer Aided Engineering and Technology, Computer Applications in Technology, Human Factors Modeling and Simulation, Virtual Technology and Multimedia, Modeling in Operations Management, Computational Materials Science and Surface Engineering, Experimental Design and Process Optimization, Service and Computing Oriented Manufacturing, Fuzzy Computation and Modeling, Human Factors and Ergonomics. https://adrjournalshouse.com/index.php/Modelling-Simulation-operations/article/view/2581 2026-03-24T10:58:00+00:00 Saddam Hussain saddamhussain194013@gmail.com Varsha Mehar saddamhussain194013@gmail.com Abhimanyu Kumar saddamhussain194013@gmail.com

<p style="text-align: justify;">The rising worldwide appetite for clean and sustainable energy has pushed solar photovoltaic (PV) systems to be more readily integrated into the modern power grid. However, technical problems like voltage instability, harmonic distortion, and changing irradiance conditions impact the performance and dependability of grid-connected PV systems. This review paper presents the design and simulation of a Grid-Integrated Solar System (GI_Solar) with Artificial Intelligence (AI)-based optimisation to enhance the power quality overall. The authors discuss the principal components of grid-compatible PV systems, which are PV arrays, DC–DC converters, and inverters, while AI-driven Maximum Power Point Tracking (MPPT) algorithms play a crucial role. The Grey Wolf Optimisation (GWO) method is being designated because of its outperforming capabilities against the classical Perturb and Observe (P&amp;O) methods in obtaining faster convergence, greater tracking accuracy, and improved adaptability under changing environmental conditions. The AI approach and MATLAB/SIMULINK simulations lead to significantly less Total Harmonic Distortion (THD) and better voltage stability and synchronisation with the grid. The authors of the review emphasise that the application of advanced optimisation techniques in grid-connected PV systems will impart stability, efficiency, and quality to the renewable energy generation of the future.</p>

2026-03-24T00:00:00+00:00 Copyright (c) 2026 Journal of Advanced Research in Modeling and Simulation https://adrjournalshouse.com/index.php/Modelling-Simulation-operations/article/view/2499 2026-01-29T06:52:59+00:00 Harshmani Yadav theharshmani@gmail.com Urvashi Bansal theharshmani@gmail.com

<p>In the past few decades, a positive-type second-generation current conveyor (CCII+) has been proven to be a very versatile and valuable building block. This work aims to design a high-performance CCII+ with improved power efficiency and linearity. A unique design of a CCII+ is proposed in this paper. The proposed circuit utilizes an active regulated current mirror, making it particularly suitable for low-voltage and low-power applications. The designed circuit has been simulated using Spice tools and 180 nm CMOS process parameters. All voltage and current equations have been observed as satisfactory during DC and transient analysis. Additionally, two applications utilizing the proposed CCII+ have also been implemented. All results agree with the theoretical analysis.</p>

2026-01-29T00:00:00+00:00 Copyright (c) 2026 Journal of Advanced Research in Modeling and Simulation