P. Kanakasabapathy, V. Gopal, V. Abhijith, Athul Mohan, E. H. S. Reddy
{"title":"Energy management and control of solar aided UPS","authors":"P. Kanakasabapathy, V. Gopal, V. Abhijith, Athul Mohan, E. H. S. Reddy","doi":"10.1109/TAPENERGY.2015.7229646","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229646","url":null,"abstract":"Solar photovoltaic (PV) powered UPS system requires a smart control and energy management techniques along with battery charger for efficient power transfer and energy storage. This paper presents the energy management system and controller design of the solar aided UPS implemented with the half-bridge converter. Designed DC-DC converter employs the voltage mode control using Maximum Power Point Tracking (MPPT) and the battery charging control loop. The control objective is to balance the power · ow from the PV module to the battery and the load such that the PV power is utilized effectively and the battery is charged with three charging stages. Unlike conventional UPS systems, the control technique prioritizes solar power over grid to charge the battery. To improve the battery efficiency and life time different SOC levels have been chosen and energy management is done by monitoring the SOC.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"6 1","pages":"363-368"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87666278","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}
Abhay M. Morey, S. Bhujade, Tapas K. Bhuiya, S. Thakur, T. Pandey
{"title":"Design and development of phased-array coils for 1.5T MRI scanner","authors":"Abhay M. Morey, S. Bhujade, Tapas K. Bhuiya, S. Thakur, T. Pandey","doi":"10.1109/TAPENERGY.2015.7229611","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229611","url":null,"abstract":"MRI scanner is the most important diagnostic tool that aids in the diagnosis of diseases and offers most sensitive and non-invasive way of Imaging. The sophisticated tool helps clinician to understand the cause of patient's particular health issue. RF Phased Array coils are used in MRI for better signal reception as they are more sensitive to signal close to the coil, thus detecting signals from organ of interest more efficiently. Hence attempts are made in order to improve the performance of the coil with respect to its signal to noise ratio, penetration depth, Specific Absorption Rate, etc. Phased Array coils are nothing but a number of overlapping surface coils. In this paper, we have designed, simulated and fabricated the MRI surface coil by overlapping to form phased array for 1.5 Tesla scanner. A balun is designed to feed the unbalanced coaxial signal to a balanced coil Return loss of single coil is 21.96 dB and that of array is 25.84 dB and reverse isolation is 37.08 dB with bandwidth of 7.6 MHz. Simulation and experimental result have been compared to validate the proposed design of single coil.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"27 1","pages":"165-169"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90929489","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 generalised three phase power flow algorithm incorporating the uncertainty of Photo Voltaic(PV) source for unbalanced distribution network","authors":"K. Maya, E. A. Jasmin","doi":"10.1109/TAPENERGY.2015.7229588","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229588","url":null,"abstract":"With the ever increasing demand for electrical power and growing environmental concerns, the Distributed Generation(DG) technologies are finding their pivotal roles in the electric power industry. Power Flow Studies play a vital role in planning the future expansion of power system as well as for deciding the optimum operation of the existing power system. The uncertain and unbalanced nature of DG sources demand unbalanced power flow studies for analysing the DG integrated distribution system. DG sources such as Photo Voltaic(PV) installed in a distribution network are the major concern in this study. The randomness associated with the power production from the PV source should be modeled as a multistate variable in the power flow studies. The paper presents an unbalanced power flow algorithm based on the current summation method for the distribution system with the photovoltaic source. The uncertainty associated with the solar irradiance is modeled using Beta Probability Distribution Function(Beta PDF). The proposed algorithm is validated with IEEE 13 bus distribution feeder.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"12 1","pages":"29-34"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91198266","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":"Control of doubly fed induction generator connected to variable speed wind turbine","authors":"Anjana Jain, B. J. Reddy","doi":"10.1109/TAPENERGY.2015.7229670","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229670","url":null,"abstract":"Proposed is a control strategy of voltage and frequency control for a doubly fed induction generator (DFIG) connected to variable speed wind turbines. The scheme is based on stator voltage vector represented in a rotating polar coordinate system. Modified direct voltage control strategy for rotor side converter is used. The control pulses for the rotor side converter are supplied by the hysteresis controller. Simulation and analysis of a 5HP grid connected variable speed DFIG based on wind power generation system is presented to demonstrate the system performance in different operating conditions. The operating conditions are based on the change in wind velocity.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"59 1","pages":"500-505"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89541430","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":"Development of utility interactive inverters for controlling renewable energy penetration into grid","authors":"S. Joshua, A. Ravishankar","doi":"10.1109/TAPENERGY.2015.7229665","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229665","url":null,"abstract":"Micro grid consists of a cluster of distributed energy resources (DER) connected at the point of common coupling. Amount of renewable energy penetrated into the grid must be monitored and controlled for the stable and reliable operation of the grid. An efficient communication system interacts between DERS's and the utility substation is required to perform the task. DER inverters are capable of providing real and reactive power support according to the grid requirement. This paper discusses about an efficient control to economically allocate the available DER based on cost analysis. A supervisory price controller (SPC) and a Distributed Energy Resource Controller (DERC) provides the initiation signal to bidirectional voltage source inverter of the selected resource which is then responsible to provide real power support to the AC and DC loads connected to it. Apart from this service, the inverter using the control algorithm also provides reactive power compensation, current harmonics mitigation and load balancing so that the supply currents are always sinusoidal and at unity power factor. Instantaneous Symmetrical Component Theory (ISCT) is used to provide the inverter all these functionalities. The centralized operation of micro grid under varying energy price is demonstrated. A MATLAB/SIMULINK model has been developed and simulation results shows the effectiveness to provide active power and ancillary services according to changing prices due to the coordination between the participating micro resources.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"194 1","pages":"472-478"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89026090","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":"Distributed Generation integration with enhanced power system protection","authors":"Ramini Hareesh, C. Pramod","doi":"10.1109/TAPENERGY.2015.7229637","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229637","url":null,"abstract":"Distributed Generation (DG) has increased tremendously from last two decades because of its advantages like production of highly reliable power by utilizing the renewable resources. But due to the integration of DG, power quality issues and power system protection problems arise. Fuse Recloser miscoordination is one of the problem which occurs due to the integration of DG with the grid. This paper presents a control with which fuse recloser coordination will not fail and loadis shared between the DGs according to their rating. To validate the same, simulations have been done in MATLAB/Simulink. Load sharing between the DGs has been simulated with the help of fuzzy controller for more precise control.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"34 1","pages":"310-315"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81374150","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 quality improvement in DFIG system with matrix converter in wind energy generation with space vector control techniques","authors":"V. Vasipalli, S. P. Phulambrikar, A. Agrawal","doi":"10.1109/TAPENERGY.2015.7229595","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229595","url":null,"abstract":"This paper proposes the efficient matrix converter in Doubly Fed Induction Generator System to improve the power quality. We can convert voltages from AC to AC or AC to DC or DC to DC or DC to AC by using matrix converter. Till now back to back converters in were used DFIG system. But this paper explains that the Matrix Converter is better than the back to back converter in DFIG system to maximum power tracking. Matrix converter is controlled by ISVM and DSVM control techniques. All results are simulated by MATLAB/SIMULINK software. Performance of the system is analyzed by FFT window.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"1 1","pages":"73-78"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79904922","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 zonal pricing for a large power system by employing phase shifting transformers","authors":"Shri Ram Vaishya, V. Sarkar","doi":"10.1109/TAPENERGY.2015.7229591","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229591","url":null,"abstract":"In this paper, an adaptive zonal pricing methodology is proposed by employing phase-shifting transformers (PSTs) for large power systems. The proposed methodology is applicable for the commercially predefined zones. Commercially predefined zones can be easily identify in the countries like India. The zonal transmission networks (ZTNs) are to be connected to a central transmission network (CTN) through PST. The CTN includes all the potentially congested transmission lines. Irrespective of the system configuration, each zone can be represented as a single node in the locational marginal calculation over the CTN. The loss adjustment within a ZTN can be carried out on pro-rata basis by means of distributed slack power flow analysis. The phase shifters are employed for the purpose of voltage angle recovery. The use of phase shifters can be minimized by properly selecting the angle reference for each subnetwork. The effectiveness of the proposed methodology is demonstrated through a case study.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"68 1","pages":"45-50"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80094740","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":"Diversity Enhanced Particle Swarm Optimization based Optimal Reactive Power Dispatch","authors":"V. Mini, T. S. Sunil Kumar","doi":"10.1109/TAPENERGY.2015.7229612","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229612","url":null,"abstract":"Reactive Power Dispatch (RPD) problem is a complex nonlinear problem involving integer, discrete and continuous types of control variables. This paper proposes a novel algorithm for solving the RPD problem using Diversity Enhanced Particle Swarm Optimization (DEPSO) technique. The proposed method offers an effective technique for solving Mixed Integer Discrete Continuous (MIDC) problems; hence suitable for the RPD problem. The effectiveness of the proposed method is reflected on the rounding off of control variables to the nearest integer or nearest available discrete values. With the implementation of the solution obtained in real time applications, the system becomes less prone to voltage instability. In this paper, DEPSO is applied to standard IEEE 30-bus test system. The results obtained are compared with those of basic PSO method.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"19 1","pages":"170-175"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88322678","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":"Load scheduling with Maximum Demand using Binary Particle Swarm Optimization","authors":"T. Remani, E. A. Jasmin, Imthias Ahamed T P","doi":"10.1109/TAPENERGY.2015.7229634","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2015.7229634","url":null,"abstract":"With continuously growing energy demand the importance of Demand Response(DR) programs is increasing in Smart Grid. Demand response relies on scheduling of loads under the constraints enforced by the utlity so as to reduce energy cost. Schedulable loads play an important role in such programs. The main aim of Demand Response programs is to minimize the energy cost considering the Maximum Demand (MD) limit and the operating constraints of the demand resources. Binary Particle Swarm Optimization(BPSO) is one of the soft computing methods suitable for addressing commitment problems. This paper suggests a method based on BPSO to solve the load scheduling problem with flexibe and non flexible loads and also having Maximum Demand constraint. The algorithm is validated for a number of loads having different characteristics.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"55 1","pages":"294-298"},"PeriodicalIF":0.0,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78077228","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}