{"title":"Fault Classification of Induction Motor Bearing Using Adaptive Neuro Fuzzy Inference System","authors":"K. Gowthami, L. Kalaivani","doi":"10.1109/ICEES.2019.8719244","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719244","url":null,"abstract":"The current research of smart fault diagnosis is to mine different characteristics of a signal from vibration of a machine that can differentiate unusual fault categories. Generally the mechanical data which was observed from machines are having unique features. Based on the prior knowledge and previously obtained features, the inputs are given to artificial intelligent techniques for fault classification. In this paper, neuro fuzzy and neural network based fault classification techniques are proposed. This paper mainly comprises two main parts such as feature mining and fault categorization. To extract valid information or set of features from the vibration signal, various recent techniques included in the feature mining and lessening modules. Samples are collected from Case Western Reserve University Bearing Data Center and, more samples are obtained from matlab. Statistical features of a signal are evaluated using matlab. The samples obtained are given to neural network for training, testing and validation. The statistical features are given as input to Adaptive Neuro Fuzzy Inference System (ANFIS) for fault classification. An experimental result shows that training, testing and validation using neural network and fault classification using Adaptive Neuro fuzzy Inference System producing better results.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121107242","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":"Performance Analysis of Fuel Cell DSTATCOM","authors":"Pradeep Kumar, D. Prabhu","doi":"10.1109/ICEES.2019.8719291","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719291","url":null,"abstract":"The application of Fuel Cell Interfaced Distribution STATic COMpensator (DSTATCOM) for active and reactive power interaction along with harmonic elimination has been discussed in this paper. The energy interfaced DSTATCOM can be used for (i) Harmonic Elimination, (ii) Load Balancing, (iii)Reactive Power Compensation and (iv) Active Power supportduring peak load period. This paper investigates the effectiveness of performance of Fuel Cell interfaced DSTATCOM and analyses the effectiveness of control law and controllers for Power Quality enhancement. The electrical equivalent model is integrated with the DSTATCOM to study the capability to absorb /supply active power at the DC bus. The control scheme for fuel cell interfaced DSTATCOM is developed to produce the reference $mathrm{currentsi_{fx}^{ast}}$ for the current controlled Voltage Source Converter (VSC), which will inject current at the Point of Common Coupling (PCC)to eliminate harmonics and maintain the PCC voltage while supplying a part of active power demanded by the load. This ensures the source current to be balanced and single frequency. The transient simulationis performed on anelaborated nonlinear model of DSTATCOM/Fuel Cell system using MATLAB-SIMULINK toolto validate the satisfactory response of DSTATCOM.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125236633","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":"Investigations on Service Extensions of Solid State Transformer","authors":"R. B. Jeyapradha, V. Rajini","doi":"10.1109/ICEES.2019.8719315","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719315","url":null,"abstract":"Solid State Transformers (SSTs) are receiving significant research attention in recent years as the countries around the world gear up for low carbon future. Though SSTs are contemplated as a prospective replacement to line frequency transformers (LFTs), they are far more superior to the latter in extending their services besides isolation and voltage conversion. They are multifunctional with all power quality conditioning functions embodied in a single entity. This paper investigates the possible service additions that could be offered by the SSTs deployed in power distribution systems. The additional services include harmonic reduction, mitigation of sag/swell/load transients, compensation for outage, power factor correction, voltage regulation under unbalanced loads, capacity addition to LFTs and provision of low and medium voltage dc output. The investigations are carried out by modeling a three-stage SST with two-switch bridgeless boost power factor correction (BBPFC) converter for the front end, Dual Half-bridge (DHB) converter for the isolation stage followed by a full bridge SPWM inverter for the final stage. The choice of converter topologies for the three stages of the SST is justified on the basis of active part count, control performance and operational simplicity. Further, the modeled SST is modular providing room for extended power and voltage levels, fault isolation and easy maintenance. Simulation results are presented in support of the investigations.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"759 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132903119","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":"New Symmetric Extendable Type Multilevel Inverter Topology With Reduced Switch Count","authors":"V. Thiyagarajan","doi":"10.1109/ICEES.2019.8719287","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719287","url":null,"abstract":"This paper proposes a new symmetric extendable type multilevel inverter topology suitable for medium and high voltage applications. The proposed inverter can produce output levels with a lower number of power switches. The main feature of the proposed inverter is the inbuilt creation of negative voltages without any supplementary circuit. Another advantage include the lower number of conducting switches which reduces the switching losses. Comparison study is presented between the proposed inverter and other recently presented topologies. Simulation results for 7 -level and 11 - level inverter operation are presented to show the performance of the proposed inverter topology.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115616487","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}
V. Sivaramalakshmi, M. Ravindran, M. Iruthayarajan, M. Bakrutheen
{"title":"Aging performance of Natural Ester Impregnated Nomex Paper Insulation","authors":"V. Sivaramalakshmi, M. Ravindran, M. Iruthayarajan, M. Bakrutheen","doi":"10.1109/ICEES.2019.8719319","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719319","url":null,"abstract":"In the power transformer, the oil-impregnated paper is used for providing insulation between live conducting parts, which comprises of transformer oil and insulating paper (either Kraft paper/Pressboard). These insulating papers are made up of cellulose fibers and it gets easily degraded at higher hot-spot temperature with increase in aging periods. So this affects the lifetime of solid insulation and further transformer life. In this research work, the latest advanced solid insulation named “Nomex paper” made up of aramid polymers is considered as a solid insulating paper material for analyzing the aging behavior. Furthermore, the electrical properties such as breakdown voltage of both oil and paper, flash point and fire point, viscosity have been measured to study the change in characteristics during aging. Also, the level of degradation of solid insulation has been identified by measuring Breakdown voltage of paper under all aging times. On looking standard IEEE C57.91, all these samples were analyzed at the maximum hot-spot temperature of about $130^{mathbf {circ }}$C. The results clearly show that the solid insulation gets affected due to deterioration and decomposition.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124756098","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}
Om Prakash Mahela, Priya Gupta, Shoyab Ali, N. Gupta
{"title":"Power Quality Improvement in Renewable Energy Sources Based Power System Using DSTATCOM Supported by Battery Energy Storage System","authors":"Om Prakash Mahela, Priya Gupta, Shoyab Ali, N. Gupta","doi":"10.1109/ICEES.2019.8719318","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719318","url":null,"abstract":"A technique for improving quality of power in a renewable energy (RE) sources based power system is introduced in this manuscript. Proposed technique is focussed on the use of distribution static compensator (DSTATCOM) incorporated with a battery energy storage system (BESS) and placed in parallel with dc link capacitor. Control of DSTATCOM is achieved with the help of synchronous reference frame theory (SRF). Hybrid power system is simulated by modifying IEEE-13 nodes test network by integrating wind generator, solar photovoltaic (PV) system and DSTATCOM. Improvement of power quality (PQ) events associated with operational events such as synchronization and outage of wind generator and solar PV system is achieved. Simulation results establishes that technique proposed in this manuscript is found to be effective for PQ improvement in hybrid power system during operational events of outage and synchronization of renewable energy (RE) generator.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123294314","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":"Soft Computing Based MPPT Controller for Solar Powered Battery Charger Under Partial Shading Conditions","authors":"M. Neethu, R. Senthilkumar","doi":"10.1109/ICEES.2019.8719314","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719314","url":null,"abstract":"Solar irradiations received by the PV panel is blocked by a moving or non-moving object is known as partial shading condition. The solar panel power output under partial shaded will be a maximum only if the panel voltage is maintained at the Global Maximum Power Point. The GMPP can be determined from the Power-Voltage characteristics of the partially shaded solar panel and this voltage is called optimum voltage. The battery charging may require a voltage different from the optimum voltage. Therefore, a GMPPT Global Maximum Power Point Tracking CUK converter is employed that maintains partially shaded solar panel voltage at optimum value and buck or boost the solar panel voltage to a value required for battery charging. The objective of this work is to develop solar based battery charger using CUK converter with Maximum Power Point Tracking under partial shaded condition by Grey Wolf optimization algorithm The simulation of the partially shaded solar panel fed CUK converter for battery charging applications is performed in MATLAB - SIMULINK. The CUK converter in the battery charging system is basically a buck-boost converter that employs a single power switch. Duty cycle of gate pulse to power switch decides the power drawn from partially shaded solar panel. Therefore, the duty cycle is determined for GMPPT using Grey Wolf optimization algorithm which can track the GMPP very fast for fast changing irradiances. The simulation is performed for charging 5.8 AH, 48 V Lithium- Ion batteries.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"457 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125820899","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":"Protection of Power Transmission Lines Using Intelligent Hot Spot Detection","authors":"Sriram Anbalagan, T. Sudhakar","doi":"10.1109/ICEES.2019.8719290","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719290","url":null,"abstract":"This paper manages discovery of the problem areas in power transmission lines in an optimized thermal picture processing method. The technology followed in this research was automated hot spot detection base on image processing with hybrid algorithm. At every point of time video is changed over into number of picture by utilizing MATLAB coding. The hotspot is recognized from the picture outlines by utilizing the calculation. This calculation depends on finding the steepest development of progressive slopes of arranged estimations of info picture after certain picture pre-handling steps. A few post-preparing methods were connected for legitimate perception of distinguished districts in the subsequent pictures. The recognizable proof and the conceivable blame recognition from the Problem areas exhibit in the warm pictures are valued by time way and it can defend in a power transmission lines.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125061300","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":"Discrete Time model of Coupled Inductor based Bidirectional DC-DC Converter","authors":"B. Madhuri, D. Krishna","doi":"10.1109/ICEES.2019.8719317","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719317","url":null,"abstract":"The present work emphasize on the small signal discrete averaged time model of a pulse width modulated coupled inductor based bidirectional dc-dc converter (CI-BDC). Discrete averaged time model is used to predict the accurate model of the proposed converter in order to overcome the drawbacks of classical averaging techniques. Distinct behavior of converter is presented, when leading and trailing edge PWM techniques are applied. Proposed dc-dc converter is to avoid extreme values of duty ratio while coalescing low DC voltage sources with high DC voltage and to reduce the voltage and current (V/I) stress on the semiconductor devices of the power converter. A lead-lag compensation is introduced to avoid the instability due to right hand zero and better performance.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127137565","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":"Comparative study of Controller Optimisation for CSTR using Particle Swarm Optimization Technique","authors":"S. Durgadevi, K. Sundari, D. Raaghavi, R. Akshaya","doi":"10.1109/ICEES.2019.8719302","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719302","url":null,"abstract":"The Continuous Stirred Tank Reactor (CSTR) plays a main role in all chemical process industries for mixing. CSTR found in wide applications where the industries allow liquid, gas and solid reactions, with continuous agitation and series configuration for concentration and temperature. Hence to attain specific concentration, the full strength of solution is mixed with desired proportions of water. This is usually carried out with the help of conventional PI & PID controllers. The main objective of the proposed work is to compare and analyze the conventional controllers used in CSTR with a soft computing technique tuned PI & PID controllers for various error criteria. The conventional controllers have difficulty in dealing with problems that appear in complex non-linear processes. In order to tackle this problem and improve the dynamic response of CSTR, the reactor performance is analyzed with soft computing technique known as Particle swarm Optimization (PSO). The control objective to maintain the CSTR at steady state operating point in terms of less settling time and reduced % overshoot","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130742007","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}