R. Seth, Mr. Subrat Kumar Swain, Dr Sudhanshu Kumar Mishra
{"title":"Single Object Tracking Using Estimation Algorithms","authors":"R. Seth, Mr. Subrat Kumar Swain, Dr Sudhanshu Kumar Mishra","doi":"10.1109/EPETSG.2018.8658715","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658715","url":null,"abstract":"The application of Kalman Filter in the process of state estimation and thereby tracking a single object in motion is explored in this paper. A collection of images consisting of 200 different instances of the single object's position has been taken into consideration, whose location has been found with the help of background subtraction technique. The actual trajectory has been obtained by connecting the centroid locations of the obtained images of moving object. This paper incorporates the use of traditional Kalman filter to estimate the position and the trajectory of the single object in motion. The performance of the traditional Kalman filter has also been compared with a proposed modified version of Kalman filter for this challenging job. An exponential function has been multiplied with the Kalman gain in the modified Kalman filter. The performance evaluation shows that the modified Kalman filter generates improved results with high convergence rate and low tracking error compared to Kalman filter. The work presented here has enormous potential in the field of object tracking and navigation for different practical applications.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127754629","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":"Hot Spot Detection in High Voltage Transformer by Thermal Sensor Using COMSOL Multiphysics","authors":"S. Meitei, A. Saikia, K. Borah, S. Chatterjee","doi":"10.1109/EPETSG.2018.8658935","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658935","url":null,"abstract":"This paper presents a Hot Spot detection in high voltage transformer by thermal sensor using COMSOL Multiphysics software. A periodical test of the thermal condition of high voltage equipment can eliminate the risk of the damage caused by hot spots. Hot spots in a HV transformer are major risks that may lead to the complete replacement of equipment if left undetected for a long time. Here, COMSOL probe point is used as a thermal sensor to detect the temperature of the hot spot which occurred in the iron core of the transformer. The detection of Hot Spots in time can safeguard an equipment from complete breakdown.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116926333","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":"Analysis of Sampling on Process Timing Parameters in a Networked Control System","authors":"Santhosh Kv, Nathan Noronha Esilva","doi":"10.1109/EPETSG.2018.8659086","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8659086","url":null,"abstract":"This paper analyses the effect of network parameter on the performance of feedback control system. Effect of network parameters like transmission delay and quantizer delay on the output of the process system is shown, to derive its relation with the effect caused. Feedback control system consists of a proportional + integral controller, actuator, and a second order plant. Stabilized controller is placed on to a network. Time response parameters of the loop are analyzed by varying network parameters like transmission delay and quantizer delay. To offset the errors caused by these parameters it is essential to derive the relation. Regression analysis is used for the purpose of offset tuning. Results of the proposed technique are analyzed to evaluate the completeness of set objectives.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128126328","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":"Estimation of Support Vector Machine Parameters Based on Breakdown Voltage Characteristics","authors":"Adnan Iqbal, S. Das","doi":"10.1109/EPETSG.2018.8658462","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658462","url":null,"abstract":"In this work, breakdown voltage characteristics of vegetable oil as insulation medium is studied. Breakdown voltage is measured under different electrode gap and ramp rate of applied voltage. Weibull distribution is used to analyse the measured results. The time to failure and the corresponding voltage magnitude depends on electrode gap and ramp rate. The breakdown results are further processed to train Support Vector Machine (SVM), a machine learning algorithm. The electric field features corresponding to breakdown voltage are extracted from electric field distribution and are used to train Support Vector Machine. The parameters that configure SVM during training process for prediction or classification of new data are estimated. The breakdown mechanism influences values of these parameters.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124839284","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":"Linear Discriminant Analysis Classifies the EEG Spectral Features Obtained from Three Class Motor Imagination","authors":"Maanvi Bhatnagar, G. Gupta, R. K. Sinha","doi":"10.1109/EPETSG.2018.8659292","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8659292","url":null,"abstract":"This paper explores the changes in power associated with the imagination of motor imagery (MI) signals corresponding to hand movement and foot movement. The study presented in this paper establishes a correlation between MI signals and Event-RelatedSynchronization (ERS)and Event-Related Desynchronization (ERD) phenomenon with the help of Band power features. This fact has been further validated with the help of Linear Discriminant Analysis (LDA) Classifier. The analysis is conducted on dataset IIIa, obtained from BCI Competition III conducted by Graz University, Austria. The dataset is a multiclass data recorded for three subjects. The accuracy of individual classes and inter-class is calculated. The average accuracy for subject K3b, K6b and L1b obtained is 91.92%, 59.97%, 57.89% respectively when training data is used as test data and when a set of test data is used the resultant accuracy obtained is 85.66%, 65.33%, 58% for the three subjects respectively. Foot data showed very less accuracy in comparison with the data of hands. It is analyzed through the studies conducted in this paper that simple phenomenon of ERD/ERS can be utilized in a multiclass Brain-Computer Interface (BCI) system operated for MI.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124144187","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 FOPID and Modified FOPID for Inverted Pendulum Using Particle Swarm Optimization Algorithm","authors":"Abinash Baruah, M. Buragohain","doi":"10.1109/EPETSG.2018.8659047","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8659047","url":null,"abstract":"This paper implements Fractional Proportional-Integral-Derivative controller (FOPID) in combination with Model Reference Adaptive Controller (MRAC) for balancing the inverted pendulum system. Particle swarm optimization (PSO) is used to optimize the FOPID controller parameters. One of the popular Non-dual adaptive controllers is the MRAC which is used in combination with FOPID to provide better dynamic system control performance as compared to the use of FOPID alone.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"85 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123445645","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":"Transformer Oil Quality Measurement Based on Temperature Rise Test","authors":"D. Mahanta, Prof. Shakuntala Laskar","doi":"10.1109/EPETSG.2018.8658893","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658893","url":null,"abstract":"Transformer oil is a very complex compound. Its temperature rise pattern is strongly dependent on its quality. Differently aged and stressed transformer oil has different temperature rise pattern. In this work, we try to measure the quality of transformer oil based on the temperature rise pattern of oil samples. A model has been developed to study the thermal behavior of different transformer oil samples collecting from different condition state transformers. The temperature rise pattern has been compared with other parameters like break down voltage(BDV), ultra-violate visual (UV-VIS) spectrophotometer spectrum to investigate the health condition of the transformers.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124744549","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}
Rama Krishna Naidu Vaddipalli, L. Lopes, A. Rathore
{"title":"Virtual Synchronous Generator with Variable Inertia Emulation Via Power Tracking Algorithm","authors":"Rama Krishna Naidu Vaddipalli, L. Lopes, A. Rathore","doi":"10.1109/EPETSG.2018.8658853","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658853","url":null,"abstract":"This paper proposes the technique, variable inertia emulation of the virtual synchronous generator (VSG) fed from a photo voltaic (PV) source via power tracking algorithm. The virtual synchronous generator is tied to a three-phase distribution line at the point of common coupling (PCC). The operating point on the power - voltage characteristics of the PV source is suitability controlled to emulate the inertia in the input. The variable inertia is achieved through variation of inertia constant in the closed loop power control. This method of moving on the power - voltage characteristics requires a power tracking algorithm for the PV Source. The VSG is modeled using synchronous reference frame theory with a voltage oriented control scheme(VOC). We have chosen an improved version of phase locked loop(PLL) for the accurate estimation of the phase and extraction of the fundamental component from the voltage at PCC. The droop control characteristics determine the real power and reactive power to be supplied by the VSG. The simulation results support the analysis presented in this paper.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131626646","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":"Double Threshold Based Cooperative Spectrum Sensing with Consideration of History of Sensing Nodes in Cognitive Radio Networks","authors":"Smriti, Chhagan Charan","doi":"10.1109/EPETSG.2018.8658918","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658918","url":null,"abstract":"As cognitive radio networks are being used as a method which helps in determining the spectrum vacancy and utilize the spectrum efficiently, spectrum sensing is one of the key technology for this application. Among all the spectrum sensing techniques, energy detection is mostly preferred because of its simplicity and also since it does not require any prior knowledge of the signal. However, major challenges appear due to multipath fading, hidden terminal problem, shadowing and receiver noise uncertainty. To mitigate the impact of these issues cooperative spectrum sensing turns out to be an effective method for improving the performance. In this paper, cooperative spectrum sensing along with double threshold detection method which considers the previous sensing history is used in which two thresholds are considered and compared to a test statistic and accordingly a decision regarding the presence and absence of the primary user is made. Simulation results shows that under cooperative sensing the proposed double threshold method performs better than energy detection method and conventional double threshold detection method under various parameters such as SNR, probability of detection, probability of false alarm and number of samples.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"136 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126250527","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":"Effective Scheduling of Spinning Reserve Services and Cost of Energy in a Deregulated Power Market","authors":"Bishaljit Paul, C. K. Chanda, M. Pathak, J. Pal","doi":"10.1109/EPETSG.2018.8658497","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658497","url":null,"abstract":"To maintain the security and reliability in the power system, spinning reserves which are one of the most important ancillary services are continuously blended during contingency in the system. Spinning reserves impart a great impact in the power system which are able to respond within a very short time to serve the load based on their bids. Congestion in the lines make the power providers to allocate spinning reserves among the capable generators and so these reserves play a crucial role of requirement and supply of power in the competitive deregulated power market. This paper discusses through a four bus system which can be applied also in higher bus systems, that the energy prices, at every nodes are analyzed by the locational marginal prices (LMPs) and the prices for the reserved generators by ancillary service marginal price (ASMPs). To ensure continuous reliability and security in the system, regional ancillary service marginal price (RASMPs) demarcated through various regions explicitly with import and export representation here, are optimized through DC Optimal Shift Factor based power flow method. Opportunity costs incurred and the most profitable generators for a certain load are also studied through price characterization.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124732173","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}