Journal of Advanced Research in Modeling and Simulation

Review on Design and Simulation of a Grid-Integrated Solar System Using AI-Based Optimization for Power Quality Enhancement

2026-03-24T10:58:00+00:00

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&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.

A High Performance Second Generation Current Conveyor and Its Applications

2026-01-29T06:52:59+00:00

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.

Implementation of Machine Learning Algorithms for analysing database of grocery store of Ludhiana district

2026-04-27T07:11:58+00:00

This study focuses on analysing grocery transaction data using Market Basket Analysis (MBA) to uncover purchasing patterns and improve retail strategies. The process begins with the collection of grocery transaction data, followed by the importation of necessary Python libraries such as `pandas`, seaborn`, and `matplotlib` for data manipulation, analysis, and visualisation. Using these libraries, association rules are generated through popular algorithms like Apriori to identify frequently co-purchased items. The results of this analysis are then visualised through graphs, providing clear insights into consumer buying behaviour. The findings are aimed at optimising sales trends over time, sales by item category, payment method usage and supporting targeted marketing strategies in the grocery retail sector. The findings depict the effectiveness of MBA in optimising retail operations and enhancing customer satisfaction, ultimately contributing to more efficient and targeted marketing efforts in the grocery retail sector.