{"title":"A hybrid photovoltaic and battery energy storage system with P-Q and V-f control strategies in microgrid","authors":"V. Indu, E. K. Bindumol","doi":"10.1109/PICC.2015.7455747","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455747","url":null,"abstract":"Microgrid constitutes distributed energy resources (DERs), storage devices and controllable loads. In microgrid applications challenge mainly lies in the integration of Distributed Energy Resources (DERs) through power electronic interfaces. With proper control of inverter switching, seamless transfer from power control mode to voltage and frequency control mode is possible. The paper proposes a novel control strategy for photovoltaic generators with Battery storage system under off grid and grid connected modes of operation. Besides, the control strategies are linked through a power balance objective. The system modeling has been carried out using MATLAB and the performance has been validated.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127317706","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":"Review of current control strategies for a vector controlled three phase UPF rectifier","authors":"P. Joseph, J. Mathew","doi":"10.1109/PICC.2015.7455784","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455784","url":null,"abstract":"This paper deals with the simulation of a vector controlled three phase rectifier designed to give UPF operation. A brief review of different control strategies are also given. The main issue with the use of conventional bridge rectifiers/controlled rectifiers is the injection of unwanted harmonics into the gird. The input current will be highly distorted and out of phase. Due to various harmonic standards which put limits on the amount of harmonics and current ripple in the source current, the bridge type rectifiers are being replaced by improved power quality converters which satisfy the standards. The three phase rectifier implemented in this work is characterized by its input current being almost sinusoidal, reduced current ripple, controllable DC output voltage and UPF operation. Synchronous reference frame control strategy is opted and simulations are done for both linear current control and hysteresis current control strategy. The PLL is realized using software PLL in synchronous reference frame.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130679013","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":"Unified model based classification with FCM for brain tumour segmentation","authors":"U. Maya, K. Meenakshy","doi":"10.1109/PICC.2015.7455799","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455799","url":null,"abstract":"This paper presents a novel method for brain tumour segmentation which unifies two different models. The segmentation procedure goes through three stages. First stage employs an Extended Hyperbolic Tangent (EHT) model to separate natural cells from deceased ones. Second stage makes use of fuzzy clustering technique to sharpen the separation done in the previous stage. The final stage isolates tumour effected cells from edema part using a mixture model of edema and tumour. The computationally efficient algorithm is applied to multichannel Magnetic Resonance Image slices and works good for both high grade and low grade tumours. The only interaction needed from the user is the slice number selection. The algorithm yields a comparatively better result by making use of T1 weighted, T2 weighted, T1 contrast and FLAIR MRI channels.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131157450","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 positive output buck boost converter combining KY and SR-buck converters","authors":"J. Jose, K. Pramelakumari","doi":"10.1109/PICC.2015.7455775","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455775","url":null,"abstract":"In most portable electronics equipment's, batteries are used as a source of power. Some efficient power management technique is required in order to get longer battery life. In some batteries, output voltage is not constant so an additional switching power unit is required to get a constant output voltage. Due to the power loss occurs in the storage devices, the efficiency of these converters is reduced. So here we design a positive output voltage-bucking/boosting converter, combining KY and synchronous buck converter for battery power applications. Compared to the traditional buck-boost converter, this converter possesses positive output voltage. This converter operates in continuous conduction mode inherently and it possesses the non-pulsating output current, so the current stress on the output capacitor and the output voltage ripple are reduced. Both the KY converter and the SR buck converter uses the same power switches, the circuit will be compact and the corresponding cost will be down.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132086171","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":"Implementation of closed loop model of modified interleaved buck converter","authors":"Aleena Rose Peter, T. Remani","doi":"10.1109/PICC.2015.7455777","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455777","url":null,"abstract":"This paper presents the closed loop model of modified interleaved buck converter (IBC) with low switching losses and improved step-down conversion ratio for the applications with high input voltage. Unlike conventional IBC, two active switches are connected in series and a coupling capacitor is employed in the power path. The losses associated with the power devices can be reduced as the voltage stress across all the active switches is half of the input voltage before turn-on or after turn-off when the duty cycleduty cycle is below 50%. The output voltage is regulated by implementing closed loop control. The features, principle of operation, design, simulation and experimental results of the proposed IBC are presented in this paper.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117036103","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":"Acoustic modeling using auditory model features and Convolutional neural Network","authors":"V. S. Suniya, Dominic Mathew","doi":"10.1109/PICC.2015.7455805","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455805","url":null,"abstract":"The state of art automatic speech recognition systems use Deep Neural Networks(DNN) for acoustic modeling. More recently, Convolutional neural Networks(CNN) have shown substantial acoustic modelling capabilities due to its ability to deal with structural locality in the feature space. In this paper, a detailed study of CNN based acoustic models on TIMIT database has been performed. For feature extraction an biologically motivated auditory model is simulated using Patterson and Holdsworth filter bank. MFSC features are also extracted for comparison. The experiments show that CNN with the auditory model features outperforms the conventional acoustic models which use mel spectral features.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124424547","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":"PV supported DSTATCOM using Icos& controller","authors":"Roshith Pulikkal, K. Rathi","doi":"10.1109/PICC.2015.7455753","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455753","url":null,"abstract":"Photovoltaic (PV) supported DSTATCOM is proposed in this paper. The existence of harmonic in the power system has increased due to the high usage of power electronics. Harmonics has contributed excessive distortion to the voltage and current waveform and eventually affecting the power system. To improve the performance of ac power systems, we need to manage reactive power in an efficient way. DSTATCOM provides reactive power compensation and source current harmonic reduction. The proposed DSTATCOM consists of a three-leg Voltage Source Converter with a DC bus capacitor. IcosΦ algorithm is used to extract reference current for the VSC. The PI controller is used to maintain the DC link voltage to the reference value. PV array is connected to the dc link of the converter through a boost converter. The gate signals to the VSC is generated by Pulse Width Modulation current controller. The performance of the proposed system is analysed under various non-linear and reactive loads. The real power injection is possible by interfacing PV array with DSTATCOM. Simulation studies have been performed by MATLAB/Simulink software. Simulation results have shown the success of the implemented system in reactive power compensation and minimum input current harmonic content.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"26 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131574807","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":"Semiconductor converter for field magnets of hydromounts with a magnetorheological transformer","authors":"A. Ermolaev, S. Okhulkov, A. Plekhov, D. Titov","doi":"10.1109/PICC.2015.7455774","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455774","url":null,"abstract":"Vibration damping on a protected mechanism resonance frequencies is best carried out by hydromounts with managed damping ratio. Such hydromounts have a magnetorheological transformer. The magnetorheological transformer working pattern is controlled by semiconductor converter.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128327038","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 integration of photo voltaic sources in unbalanced distribution system using Reinforcement Learning","authors":"K. Maya, E. A. Jasmin","doi":"10.1109/PICC.2015.7455769","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455769","url":null,"abstract":"The thrive for environment friendly sources of energy to meet the growing energy demand has driven the integration of more Distributed Generation(DG) sources into the Distribution network. In order to achieve the benefits of DG integration in terms of improvement in voltage profile, minimization of losses etc, optimal placement of DG sources is of much significance. This is to be done by using robust optimization techniques that can handle the uncertainty associated with the DG sources. Therefore the optimal placement of DG in unbalanced distribution network is a challenging issue. The paper presents the application of Reinforcement Learning (RL) for optimally allocating the Photo Voltaic (PV) units in an unbalanced distribution network. The proposed algorithm is validated for the unbalanced IEEE 13 bus distribution network.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116515612","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":"Power system state estimation and bad data analysis using weighted least square method","authors":"T. Vishnu, Vidya Viswan, A. Vipin","doi":"10.1109/PICC.2015.7455755","DOIUrl":"https://doi.org/10.1109/PICC.2015.7455755","url":null,"abstract":"The static state of an electric power system is defined by the voltage magnitudes and angles at all network buses. The static-state estimator is a data processing algorithm for converting redundant meter readings and other available information into an estimate of the static-state of the system. This paper explains the concept of Weighted Least Square static state estimation. Static state estimation is performed on the data made available through the SCADA system. In this paper this data is obtained through Newton Raphson Load flow analysis. Power flow, power injections and voltage magnitudes are the various measurements taken from load flow analysis as the measurements for state estimation. Weighted least square method estimates the state of the power system based on the weight given to each measurement. A state estimator should have the ability to detect and identify the presence of a bad data. If a bad data is present among the measurements, then the estimated state variables will vary from the actual state variables. In this paper bad data detection is performed using Chi Squared test and bad data identification is performed using largest normalized residual method. Weighted least square algorithm is applied on an IEEE 14 bus.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831320","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}