Journal of Computational Intelligence and Secure Systems of Artificial Intelligence

If energy is distributed from one area to a distinct collection of loads or to the grid, a unified power quality conditioner is necessary. A unified power quality conditioner that relies on neuro fuzzy technology is described in this paper. A series converter is used to address voltage sag/swell problems. The reactive power of linear and nonlinear loads is corrected using the shunt converter. The results of the experiment are compared for neuro fuzzy and artificial neural network controllers. All harmonic bias is successfully taken out when using this method. The quality of performance for the system is tested using MATLAB/Simulink.

Keywords : Power quality, Neuro fuzzy controller, Induction motor, Harmonic compensation

Author : Naresh

Title : Enhancing Power Quality with a Neuro Fuzzy-Based Unified Power Quality Conditioner Fed Induction Motor Drive

Volume/Issue : 2025;01(02)

Page No : 01-04

The distributed static compensator concept is put out in this work to compensate for reactive powers, harmonics, and imbalances. This diesel electrical generator's primary function is to produce electricity and deliver it to the distribution point. Variability, interruptions, and voltage distributions—also referred to as power quality issues—are the primary issues that arise in these distribution systems. The various types of FACTS controllers are categorized according to how well they improve power quality. These devices are categorized as series and shunt converters, depending on how they are built and connected to the line. In order to improve performance over earlier conventional controllers, this work also focuses on the idea of fuzzy logic controllers. In essence, the fuzzy controller's benefits include minimal steady state error and a reduction in the outcomes are confirmed for both PI and fuzzy controllers, and these experimental diagrams are validated in MATLAB/Simulink.

Keywords : Harmonics, Voltage source converters, Distributed static compensators, Diesel generation systems

Author : M Mohan Kumar and P Ranjitha

Title : A DSTATCOM for Diesel Generation System with Load Compensation Based on Fuzzy Logic

Volume/Issue : 2025;01(02)

Page No : 05-09

Test case prioritization has become widely accepted because it frequently produces high-quality software that is error-free. Traditional methods of prioritization are more expensive and time-consuming due to the rise in software errors. Because of the complexity of test suites and the lack of focus on automating the TCP process, the primary obstacle with TCP is the difficulty of manually validating the priorities of various test cases. This paper's goal is to identify the priorities of various test cases using an artificial neural network that uses the back propagation technique to forecast the right priorities. One such technique is used in our suggested work, where various test cases are given priorities according to how frequently they occur. Once the priorities have been allocated, the ANN predicts whether each test case will receive the right priority or not; if not, it generates an interrupt. Classifiers are used to categorize the various priority test scenarios. The suggested approach is highly successful since it automates the process of prioritizing the test cases and reduces complexity with strong efficiency.

Keywords : Classification, Software testing, Prioritizing test cases, Artificial neural networks, TF -IDF

Author : Suresh

Title : Design and Development of a Neural Network-Based Classifier Algorithm for Test Case Prioritization

Volume/Issue : 2025;01(02)

Page No : 10-12

Development and use of single phase-type multilevel inverters have grown more in the last several years. A new topology-based seven-level inverter that uses less power electronics and links to the utility grid is proposed in this research. This proposed multilevel inverter works at basic frequency with only eight power electronics switches. We consider this inverter to be a photovoltaic system because it creates seven modes of output from the input. Because only a few circuit switches are required, the overall cost, complexity and losses from switching are very little. The inverter is responsible for changing the signal from negative to positive, giving us both positive and negative cycles and the DC/DC converter takes that signal and changes it into three positive voltages. Enhancing the output waveform is possible by adding a filter circuit to the output main of the multilevel inverter. To address this, a neuro-fuzzy controller strategy for the seven-level inverter was introduced in this paper. The simulation results are shown in the MATLAB Simulink toolbox.

Keywords : Renewable energy sources, Solar panels, THD, Multi-level inverters, ANFIS

Author : Sridhar and Suresh Naidu

Title : A New Multilevel Renewable Energy System Neuro-Fuzzy Controller

Volume/Issue : 2025;01(02)

Page No : 13-17

Generally speaking, the growing number of distributed energy systems and ongoing changes in operating requirements have the biggest effects on power systems. In order to improve power transfer, this research suggests a novel idea for power-control strategies for a micro grid generation system. In order to maximize power usage under environmentally free conditions with minimal losses, micro grids are created using general renewable energy sources. This also improves system efficiency. To lower the number of converters used in a grid, this study recommends a single stage micro-grid to do the job. According to the idea, both operating solo or with the main grid are possible for the micro grid. The unwanted influence of load changes or non-linear devices on power systems can be eliminated using control techniques for shunt active hybrid filters. Power quality is increased by using fuzzy logic controllers with a PI traditional control which helps control output power distortions. The simulation results are used to examine the differences between the fuzzy logic controller and the pi controller.

Keywords : Fuzzy controller, Grid control, Wind power generation, Micro-grid, UPQC

Author : Kiran Kumar

Title : Implementation of Fuzzy Based UPQC Controller for Microgrid Power Quality

Volume/Issue : 2025;01(02)

Page No : 18-22

Variations in voltage have a significant impact on nonlinear loads. Because of its superior performance and inexpensive cost, dynamic voltage restorers are among the most often used compensatory devices. When Park's transformation technique is used, the dynamic voltage restorer's rating is successfully decreased. This paper suggests using a fuzzy logic controller to achieve better results. The MATLAB/Simulink environment is used to verify the results.

Keywords : Sag/Swell, Parks, Transformation, Inference, Fuzzy, FACTS controllers

Author : Venu Gopal

Title : A Fuzzy Voltage Sag/Swell Controller Employing a Dynamic Voltage Restorer with a Lower Rating

Volume/Issue : 2025;01(02)

Page No : 23-28