{"title":"Analysis Optimization and Comparison to Detect Failures in the Squirrel-Cage Rotor using High-Level Wavelets","authors":"Martínez García Irving I, Peña Cabrera J. Mario","doi":"10.37391/ijeer.110413","DOIUrl":"https://doi.org/10.37391/ijeer.110413","url":null,"abstract":"The methods and tools used for signal analysis extracted from the induction motors, such as the motor current signature analysis (MCSA) used for data collection on a non-invasive basis, the multi-resolution analysis (MRA) and discrete wavelet transform (DWT), are efficient tools for the signal analysis at different levels or resolutions, these tools have been applied together to improve detection of failures in the rotor of induction motors in condition of no-load. This work focuses on the study of rotor cage end ring, in a condition with lower-load or no-load where uncertainty predominates, this area of study is complicated to analyze correctly with conventional methods, but in these circumstances, the analysis using TDW has better performance. The article presents an alternative way of detecting failures in three phases induction motors in no-load state method with an optimized method and a comparison between results of the analysis with two different levels of the high-order Wavelet Daubechies, studying and evaluating its performance for the detection of broken ring, all this supported with a specific signal pre-processing and post-processing to improve the results of detection in incipient faults.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139310551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Jasmine Gnanamalar, K. Balachander, V. Thiyagarajan, R. Saranya
{"title":"Black Widow Optimization for Power System Load Frequency Control: A Comparative Study","authors":"A. Jasmine Gnanamalar, K. Balachander, V. Thiyagarajan, R. Saranya","doi":"10.37391/ijeer.110414","DOIUrl":"https://doi.org/10.37391/ijeer.110414","url":null,"abstract":"This research paper mainly engrossed on developing a suitable novel tuning methodology named Black Widow Optimization (BWO) Algorithm for power system optimization problems. Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR), two of the most important control systems in the power system arena, are employed as test systems to assess the efficiency of the suggested BWO approach. Various analyses, such as transient analysis, are employed to evaluate the efficiency of the suggested BWO approach in LFC and AVR systems. robustness analysis and convergence analysis. The significant performance measures of test system such as output power of each generating unit, maximum peak, settling time, steady state error, rise time and voltage/frequency deviations of the frequency and voltage responses are considered for the comparison purposes. The comparative analysis clearly demonstrates that the proposed novel tuning methodology provides better transient performances subjected to Step Load Perturbations (SLP), Variable Load Perturbations (VLP), and robustness performances under a wide range of load and parameter changes ranging from -50% to +50%. The convergence analysis of BWO algorithm also performed in LFC and AVR test systems and results better convergence characteristics with minimal convergence time as well as least fitness value is obtained with the BWO algorithm.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139311231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Solution to VLSI: Digital Circuits Design in Quantum Dot Cellular Automata Technology","authors":"Madhavi R. Repe, Sanjay Koli","doi":"10.37391/ijeer.110309","DOIUrl":"https://doi.org/10.37391/ijeer.110309","url":null,"abstract":"Quantum Dot Cellular Automata is a Nano device efficient than other devices in nanotechnology for the last two decades. It is beneficial over Complementary Metal Oxide Semiconductor technology like high speed, low energy dissipation, high device density and high computation efficiency. To achieve further optimization different methods like simplifications in Boolean expressions, tile method, clocking scheme, cell placement, cell arrangement, novel input techniques, etc., are in use. These methods improve the performance metrics in terms of QCA Cells, total circuit area, delay in output, power consumption, and coplanar or multilayer layout. This paper is about the novel NOT gate layout designed with efficient parameters compared to existing NOT gates except area parameters with analysis and XOR gate and multiplexer circuits. The novel gate provides an improvement of 55% in the number of cells, polarization raised by 0.33, and an 80.77% improvement in total area. These circuits illustrate further scope in QCA circuit design efficiently. XOR circuit shows area reduction up to 0.006 μm2 with 0.5 clock cycle delay. Further optimization in XOR parameters and with this novel NOT gate researchers can optimize parameters to bring revolution and digitalization.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128921854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Combination of Appropriate Placement and size of Multiple FACTS Controllers to reduce Voltage Sag and Swell","authors":"Manohara M, V. C. V. Reddy, Vijaya Kumar M","doi":"10.37391/ijeer.110312","DOIUrl":"https://doi.org/10.37391/ijeer.110312","url":null,"abstract":"Today's power system is going through a power quality crisis as a result of rising power demand and an increase in industrial facilities. The forms must be pure sinusoidal and harmonic-free, and the power source must always be reachable within voltage and frequency restrictions. This study uses numerous FACTS controllers in a radial distribution system to handle power quality concerns. Placement of FACTs controllers in the distribution system under various load conditions presents the biggest challenge. The system is run while deploying single and multiple FACTS controllers at the critical buses in order to avoid conflicts. This paper presents on the installation of a DSTATCOM, Integrated Dynamic Voltage Restorer-Ultra Capacitor (IDVR-UC), and UPQC to reduce power quality issues for conventional IEEE-33 bus distribution systems.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128326083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Implementation of a Bootstrap-based Sample and Hold Circuit for SAR ADC Applications","authors":"Chakradhar Adupa, S. Ijjada","doi":"10.37391/ijeer.110308","DOIUrl":"https://doi.org/10.37391/ijeer.110308","url":null,"abstract":"The resolution and conversion speed of an Analog to Digital converter (ADCs) strongly depends on how efficiently Sampling and Hold (S&H) circuit handles the amplitude skewing of the input analog signal. In this article, a novel S&H circuit has been proposed to handle the errors produced because of amplitude skewing. This circuit has two different paths for sampling and holds process and avoids the non-ideal effects seen in most of the recent literature. In portable applications, the restrictions on the available power and the importance of the quality of digital data are taken as a challenge. To make SAR-ADC more power efficient, all blocks should be designed with low-power techniques. Here, the sample and hold block need to be designed to the optimized power level, operate supply of 3.3V, implemented with SCL 0.18µm process, operating at a sampling rate of 10MHz with the power of 0.425mW.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116525276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Namburi Nireekshana, R. Ramachandran, G. V. Narayana
{"title":"A New Soft Computing Fuzzy Logic Frequency Regulation Scheme for Two Area Hybrid Power Systems","authors":"Namburi Nireekshana, R. Ramachandran, G. V. Narayana","doi":"10.37391/ijeer.110310","DOIUrl":"https://doi.org/10.37391/ijeer.110310","url":null,"abstract":"Modern renewable energy power system designs provide significant application benefits, but they also produce losses. The total generation, total load demand, and system losses must be balanced in order for this structured power system to operate reliably. The actual and reactive power balances are disturbed as a result of changes in load demand. System frequency and tie line interchange power deviate from their planned values as a result of this. A high system frequency deviation can cause the system to crash. In that case, multiple connect area systems use intelligent load frequency control techniques to deliver dependable and high-quality frequency and tie line power flow. Here, a standalone hybrid power system is taken into consideration, with generated power and frequency being controlled intelligently. In addition to the unpredictable nature of the wind, frequent adjustments in the load profile can produce sizeable and detrimental power variations. The output power of such renewable sources may fluctuate to the point that it causes significant frequency and voltage changes in the grid. An intelligent approach recently proposed to address the load frequency control (LFC) issue of an interconnected power system is known as fuzzy logic PID controller (FLPIDC). Standard proportional integral derivative (PID) controllers are used to control each section of the system.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130083705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nachaat Mohamed, Mohamed El-Guindy El-Guindy, Adel Oubelaid, Saif khameis Almazrouei
{"title":"Smart Energy Meets Smart Security: A Comprehensive Review of AI Applications in Cybersecurity for Renewable Energy Systems","authors":"Nachaat Mohamed, Mohamed El-Guindy El-Guindy, Adel Oubelaid, Saif khameis Almazrouei","doi":"10.37391/ijeer.110313","DOIUrl":"https://doi.org/10.37391/ijeer.110313","url":null,"abstract":"The rapid adoption of renewable energy systems has brought forth a new set of cybersecurity challenges that require innovative solutions. In this context, artificial intelligence (AI) has emerged as a promising approach to tackle these challenges. This paper provides a comprehensive review of more than 19 studies that investigate the applications of AI in cybersecurity for renewable energy systems. By analyzing these studies, a range of opportunities and challenges associated with the integration of AI in this domain are identified. Notably, the findings indicate that over 75% of the studies acknowledge the significant potential of AI in enhancing the security of renewable energy systems. Among the various AI techniques employed, machine learning emerges as the most extensively utilized method, demonstrating an impressive detection rate of 85% and a false positive rate below 5%. However, certain challenges persist, including the limited availability of relevant data and concerns regarding the interpretability of AI models. To address these challenges, this paper concludes by providing recommendations for future research directions in this field, aiming to drive advancements in the intersection of smart energy and smart security.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130283963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Power Flow for Distribution System using Gradient-Based Optimizer","authors":"Sanket Raval, Thangadurai Natarajan","doi":"10.37391/ijeer.110311","DOIUrl":"https://doi.org/10.37391/ijeer.110311","url":null,"abstract":"In the distribution network, DG penetration increases prominently, and has altered the nature of the distribution network into an active and passive network. DISCOMs/DSOs are incorporating all kinds of DGs, including non-renewables and renewables now a day. If DGs are planned and controlled adequately, then it improves voltage deviation, reduces active power loss, and leads to the economic operation of the active distribution network. Efficient operation of the distribution network can be achieved by solving optimal power flow. In this work, optimal power flow (OPF) for a modified IEEE-69 bus distribution network with DGs is formulated and solved using Gradient Based Optimizer (GBO) in MATLAB 2021a. OPF is solved with objectives to minimize fuel cost, voltage profile improvement, and active power losses. The performance of GBO is compared with other state of art algorithms (PSO, ABC, GWO, and JANA). Performance analysis proves the efficacy and capability to solve real-world problems of GBO over other state of art algorithms.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127195016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. U. Kadam, R. B. Dhumale, N. R. Dhumale, S. S. Nikam, P. B. Mane
{"title":"Image segmentation in Diagnosing the Ground Bud Necrosis Virus in Tomatoes using K-Means Clustering","authors":"K. U. Kadam, R. B. Dhumale, N. R. Dhumale, S. S. Nikam, P. B. Mane","doi":"10.37391/ijeer.110306","DOIUrl":"https://doi.org/10.37391/ijeer.110306","url":null,"abstract":"Early-stage fruit disease detection will ensure the natural product quality for the organic agriculture business. The potential of using K-Means segmentation for diagnosing tomatoes fruit disease was intended to be explored by this proposed method. The main goal of paper is to increase classification accuracy by locating tomatoes with Ground Bud Necrosis Virus in Tomatoes disease using an image segmentation approach. The K-means clustering algorithm is intended to boost segmentation effectiveness. In the end product, the images are divided into three classes: Grade 0—00-15%; Grade 1—16-35%; Grade 2—36-65%; Grade 3—66-85%; and Class 4—86-100%. Moreover, the tested results of the proposed approach explore a variety of unhealthy images and disease Tomatoes and demonstrate that, when compared to existing methods, the proposed method has the highest accuracy.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133290677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Islanding Detection in Distribution Generation using Active Method","authors":"BESTA Hariprasad, G. Sreenivasan, P. Sujatha","doi":"10.37391/ijeer.110304","DOIUrl":"https://doi.org/10.37391/ijeer.110304","url":null,"abstract":"There are two techniques to ensure that renewable energy systems run continuously: on-grid and off-grid. In the first case the system can be managed in a network, in the second case it can be managed in a micro grid or island mode. Islanding means when a distributed generator (DG) keeps running even after there is no longer any external electricity. This situation can be dangerous for utility systems because it prevents equipment from connecting properly. Therefore, this paper proposes an active method for detecting island patterns at a given time. The use of DG installations such as photovoltaics can cause islanding detection issues. In addition, the number of DG sets in the power distribution system will affect the accuracy of island detection (ISD). On a test example DC power supply linked to a 415 V, 50 Hz network, the suggested solution was put into practice. In the MATLAB Simulink environment, the proposed method's efficacy was assessed. The proposed method is compared with existing active methods and shortens the detection time.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134395471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}