Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052727
D. Pal, P. Bajpai
With the increment of solar photovoltaic installation in power grid, solar power penetration level, over loading of grid and power fluctuation are becoming prominent issues. To address the problems, active and reactive power fed to the grid from solar inverter are needed to be controlled. Regulation of active power from solar inverter is performed by modifying maximum power point tracking algorithm of photovoltaic generation and run in off maximum power mode. To operate the solar plant in off maximum power mode, fractional voltage based modified incremental conductance method is introduced in this paper. The solar photovoltaic inverter over which this active power control is operated, is modeled in MATLAB/Simulink and this model is tested for real irradiance and temperature conditions. Reactive power control is also performed in standard test condition. Simulation results illustrate the desired limited active power injection into the grid from solar photovoltaic system and reactive power ancillary support as well.
{"title":"Active and reactive power control in three phase solar PV inverter using modified IC method","authors":"D. Pal, P. Bajpai","doi":"10.1109/ICTFCEN.2016.8052727","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052727","url":null,"abstract":"With the increment of solar photovoltaic installation in power grid, solar power penetration level, over loading of grid and power fluctuation are becoming prominent issues. To address the problems, active and reactive power fed to the grid from solar inverter are needed to be controlled. Regulation of active power from solar inverter is performed by modifying maximum power point tracking algorithm of photovoltaic generation and run in off maximum power mode. To operate the solar plant in off maximum power mode, fractional voltage based modified incremental conductance method is introduced in this paper. The solar photovoltaic inverter over which this active power control is operated, is modeled in MATLAB/Simulink and this model is tested for real irradiance and temperature conditions. Reactive power control is also performed in standard test condition. Simulation results illustrate the desired limited active power injection into the grid from solar photovoltaic system and reactive power ancillary support as well.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133699873","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052746
N. Chakraborty, Subhadip Chandra, A. Banerji, S. Biswas
In recent years, the significance of distributed generation has increased rapidly in distribution system. The prominent goal of DG placement is to measure the optimized location, type and sizes of DGs for getting best efficiency by maximizing or minimizing different constraints. This work investigates the recent research in the field of Swarm intelligence based optimal DG placement. Swarm intelligence is mainly categorized into Ant Colony Optimization & Particle Swarm Optimization. To get optimal solution, various researchers considers different constraints to get their solution. This article surveys those research works showing recent trends of Optimal DG Placement using Ant Colony Optimization & Particle Swarm Optimization.
{"title":"Optimal placement of DG using Swarm intelligence approach in distributed network: Status & challenges","authors":"N. Chakraborty, Subhadip Chandra, A. Banerji, S. Biswas","doi":"10.1109/ICTFCEN.2016.8052746","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052746","url":null,"abstract":"In recent years, the significance of distributed generation has increased rapidly in distribution system. The prominent goal of DG placement is to measure the optimized location, type and sizes of DGs for getting best efficiency by maximizing or minimizing different constraints. This work investigates the recent research in the field of Swarm intelligence based optimal DG placement. Swarm intelligence is mainly categorized into Ant Colony Optimization & Particle Swarm Optimization. To get optimal solution, various researchers considers different constraints to get their solution. This article surveys those research works showing recent trends of Optimal DG Placement using Ant Colony Optimization & Particle Swarm Optimization.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132674273","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052750
Subhash Kumar, R. Madlener
European Union has set ambitious goals to reduce the GHG emissions by 20% until 2020 and 80% until 2050 compared to 1990 level for environmental and economic sustainability. Because of geopolitical reason, Central Europe can play a crucial role in achieving these targets. This work mainly focuses on Central Europe, namely, Germany, Austria, Switzerland, Hungary, Poland, Slovenia, Slovakia and the Czech Republic. All these countries have great differences on how they generate their electricity and different plans on how to tackle the upcoming environmental challenges. Considering the respective Government long-term plans and European Union directives, four scenarios are developed by using LEAP energy system model. The planning period is 40 years from 2010 to 2050. The model results suggest that targeted GHG emission reduction is possible if 100% renewable energy policy is adopted. In case of advanced countries, like Germany, the target is achievable until 2050. But for less developed countries in Central Europe, like Poland the target of 100% renewable takes more time because of their heavy dependency on fossil fueled power generation.
{"title":"Renewable energy roadmap for central Europe until 2050: A scenario based techno-economic analysis","authors":"Subhash Kumar, R. Madlener","doi":"10.1109/ICTFCEN.2016.8052750","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052750","url":null,"abstract":"European Union has set ambitious goals to reduce the GHG emissions by 20% until 2020 and 80% until 2050 compared to 1990 level for environmental and economic sustainability. Because of geopolitical reason, Central Europe can play a crucial role in achieving these targets. This work mainly focuses on Central Europe, namely, Germany, Austria, Switzerland, Hungary, Poland, Slovenia, Slovakia and the Czech Republic. All these countries have great differences on how they generate their electricity and different plans on how to tackle the upcoming environmental challenges. Considering the respective Government long-term plans and European Union directives, four scenarios are developed by using LEAP energy system model. The planning period is 40 years from 2010 to 2050. The model results suggest that targeted GHG emission reduction is possible if 100% renewable energy policy is adopted. In case of advanced countries, like Germany, the target is achievable until 2050. But for less developed countries in Central Europe, like Poland the target of 100% renewable takes more time because of their heavy dependency on fossil fueled power generation.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129307211","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052702
Joydip Jana, Hiranmay Samanta, K. Das Bhattacharya, H. Saha
Batteries are used as power storage device in solar photovoltaic (PV) systems. They supply power when there is no solar power generation in the absence of sunlight. Charge controllers are used to charge the batteries safely following the proper charge procedure and an efficient charge controller should have the ability to extract as much power as possible from PV module to charge the batteries. This paper points out the limitation of commonly used maximum power point tracking (MPPT) based battery charge controller used in photovoltaic systems. A newly developed battery charge controller has been developed that retains the good characteristics and resolves the limitations of the commonly used charge controllers. The developed controller is based on a newly developed MPPT technique which enables very fast maximum power point (MPP) catch. This is a four stage controller which brings the battery voltage to full charge in a short time. The experimental result shows that, the new charge controller tracks the MPP faster than the commonly used controllers do. Moreover, the MPPT accuracy of the proposed charge controller is high and the steady state oscillation error around the target MPP is also minimum.
{"title":"A four stage battery charge controller working on a novel maximum power point tracking based algorithm for solar PV system","authors":"Joydip Jana, Hiranmay Samanta, K. Das Bhattacharya, H. Saha","doi":"10.1109/ICTFCEN.2016.8052702","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052702","url":null,"abstract":"Batteries are used as power storage device in solar photovoltaic (PV) systems. They supply power when there is no solar power generation in the absence of sunlight. Charge controllers are used to charge the batteries safely following the proper charge procedure and an efficient charge controller should have the ability to extract as much power as possible from PV module to charge the batteries. This paper points out the limitation of commonly used maximum power point tracking (MPPT) based battery charge controller used in photovoltaic systems. A newly developed battery charge controller has been developed that retains the good characteristics and resolves the limitations of the commonly used charge controllers. The developed controller is based on a newly developed MPPT technique which enables very fast maximum power point (MPP) catch. This is a four stage controller which brings the battery voltage to full charge in a short time. The experimental result shows that, the new charge controller tracks the MPP faster than the commonly used controllers do. Moreover, the MPPT accuracy of the proposed charge controller is high and the steady state oscillation error around the target MPP is also minimum.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129085262","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052743
Sinu Kumari, D. Das
Biohythane (biohydrogen + biomethane) from lignocellulosic biomass is a win — win solution for the supply of renewable energy and valorization of organic wastes. Lignocellulosic biomass contents mainly lignin, cellulose and hemicellulose. The carbohydrate contains is approximately 70–80% (w/w) of the total biomass. These carbohydrates can be suitable raw material for dark fermentative biohydrogen production and further biomethane production. Therefore, an eco-friendly biological pretreatment was used to remove the lignin from sugarcane top. Up to 60 % w/w lignin removal was observed after 21 d at 28 oC in static condition. Confirmation of lignin removal was performed using confocal microscopy and FTIR analysis of pretreated sugarcane top. Biohydrogen production followed by biomethane production of fungal pretreated sugarcane top resulted in 77 mL hydrogen/g-VS and 158 mL methane/g-VS. This improved the overall gaseous energy recovery to 38 %.
从木质纤维素生物质中提取的生物乙烷(生物氢+生物甲烷)是可再生能源供应和有机废物增值的双赢解决方案。木质纤维素生物质主要含木质素、纤维素和半纤维素。碳水化合物约占总生物量的70-80% (w/w)。这些碳水化合物可以作为暗发酵生产生物氢和进一步生产生物甲烷的合适原料。为此，采用生态友好型生物预处理技术去除甘蔗秸秆中的木质素。在28℃的静态条件下，经过21 d，木质素的去除率高达60% w/w。利用共聚焦显微镜和FTIR分析证实了预处理甘蔗顶部木质素的去除。真菌预处理蔗顶产氢后产甲烷，氢气产量为77 mL /g-VS，甲烷产量为158 mL /g-VS。这将总气态能量回收率提高到38%。
{"title":"Biological pretreatment of sugarcane top to enhanced the gaseous energy recovery using two stage biohythane productions","authors":"Sinu Kumari, D. Das","doi":"10.1109/ICTFCEN.2016.8052743","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052743","url":null,"abstract":"Biohythane (biohydrogen + biomethane) from lignocellulosic biomass is a win — win solution for the supply of renewable energy and valorization of organic wastes. Lignocellulosic biomass contents mainly lignin, cellulose and hemicellulose. The carbohydrate contains is approximately 70–80% (w/w) of the total biomass. These carbohydrates can be suitable raw material for dark fermentative biohydrogen production and further biomethane production. Therefore, an eco-friendly biological pretreatment was used to remove the lignin from sugarcane top. Up to 60 % w/w lignin removal was observed after 21 d at 28 oC in static condition. Confirmation of lignin removal was performed using confocal microscopy and FTIR analysis of pretreated sugarcane top. Biohydrogen production followed by biomethane production of fungal pretreated sugarcane top resulted in 77 mL hydrogen/g-VS and 158 mL methane/g-VS. This improved the overall gaseous energy recovery to 38 %.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128677970","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052721
Arjun Rastogi, G. Agarwal
Wild type ethanologenic microorganisms display very low ethanol yields on xylose in lignocellulosic hydrolysate due to low tolerance to ethanol and other metabolic inhibitors present in hydrolysates. The major thrust of research on xylose conversion has been towards the development of recombinant microorganisms capable of simultaneous uptake of glucose and xylose. These genetically modified ethanologenic strains also suffer from low yields, low productivities and genetic instability. Nanofiltration and membrane assisted cell recycle are process engineering strategies which are being described in the current study for the first time to increase ethanol yield and productivity from lignocellulosic hydrolysates using wild type strains. Various nanofiltration membranes have been evaluated for high pentose-hexose separation and high permeate flux. Operating conditions viz. temperature and transmembrane pressure have been optimized for achieving a maximal xylose to glucose separation factor of 3.4. The hydrolysate achieved by enzymatic saccharification of chemically pretreated biomass is subjected to nanofiltration and thereby split into two streams. The retentate stream is enriched in glucose while the permeate stream is enriched in xylose and depleted in metabolic inhibitors. The retentate and permeate steams are fermented by Saccharomyces cerevisae and Pichia stipitis respectively to obtain maximum yields. The retentate stream can be subjected to diafiltration by the fermented permeate from the first cycle to further increase the recovery of xylose and thus the overall ethanol yield from xylose. The permeate stream can be subjected to an additional nanofiltration based concentration step to further increase the ethanol titer. Overall yields between 0.39 and 0.43 have been achieved on validation of the process with hydrolysate of sorghum bagasse.
{"title":"Nanofiltration mediated process for ethanol fermentation of biomass hydrolysates by wild-type yeasts","authors":"Arjun Rastogi, G. Agarwal","doi":"10.1109/ICTFCEN.2016.8052721","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052721","url":null,"abstract":"Wild type ethanologenic microorganisms display very low ethanol yields on xylose in lignocellulosic hydrolysate due to low tolerance to ethanol and other metabolic inhibitors present in hydrolysates. The major thrust of research on xylose conversion has been towards the development of recombinant microorganisms capable of simultaneous uptake of glucose and xylose. These genetically modified ethanologenic strains also suffer from low yields, low productivities and genetic instability. Nanofiltration and membrane assisted cell recycle are process engineering strategies which are being described in the current study for the first time to increase ethanol yield and productivity from lignocellulosic hydrolysates using wild type strains. Various nanofiltration membranes have been evaluated for high pentose-hexose separation and high permeate flux. Operating conditions viz. temperature and transmembrane pressure have been optimized for achieving a maximal xylose to glucose separation factor of 3.4. The hydrolysate achieved by enzymatic saccharification of chemically pretreated biomass is subjected to nanofiltration and thereby split into two streams. The retentate stream is enriched in glucose while the permeate stream is enriched in xylose and depleted in metabolic inhibitors. The retentate and permeate steams are fermented by Saccharomyces cerevisae and Pichia stipitis respectively to obtain maximum yields. The retentate stream can be subjected to diafiltration by the fermented permeate from the first cycle to further increase the recovery of xylose and thus the overall ethanol yield from xylose. The permeate stream can be subjected to an additional nanofiltration based concentration step to further increase the ethanol titer. Overall yields between 0.39 and 0.43 have been achieved on validation of the process with hydrolysate of sorghum bagasse.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131273975","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052735
Jhansi L. Varanasi, D. Das
Dark fermentative effluents were used as substrates in Microbial fuel cells (MFCs) and the power outputs of MFCs were improved by optimization of influential anodic operational parameters. An initial power density of 1.4 W/m3 was obtained by an enriched mixed electrogenic which was further increased to 5.43 W/m3 by optimization of influential anodic parameters. By utilizing various dark fermentative effluents as substrates, the power densities were further enhanced to 6.2 W/m3 with an average COD removal efficiency of 70–80% and a columbic efficiency of 10.55 %. An overall energy recovery of 40.59% was obtained by integrating dark-fermentation-microbial fuel cell processes. This study presents a simple strategy for generating power from various dark fermentative effluents and thus provides a potential scope for MFCs to be integrated with dark fermentation process for enhanced energy recovery and simultaneous wastewater treatment.
{"title":"Maximization of energy recovery from starchy wastewater by integrating dark fermentation with microbial fuel cell","authors":"Jhansi L. Varanasi, D. Das","doi":"10.1109/ICTFCEN.2016.8052735","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052735","url":null,"abstract":"Dark fermentative effluents were used as substrates in Microbial fuel cells (MFCs) and the power outputs of MFCs were improved by optimization of influential anodic operational parameters. An initial power density of 1.4 W/m3 was obtained by an enriched mixed electrogenic which was further increased to 5.43 W/m3 by optimization of influential anodic parameters. By utilizing various dark fermentative effluents as substrates, the power densities were further enhanced to 6.2 W/m3 with an average COD removal efficiency of 70–80% and a columbic efficiency of 10.55 %. An overall energy recovery of 40.59% was obtained by integrating dark-fermentation-microbial fuel cell processes. This study presents a simple strategy for generating power from various dark fermentative effluents and thus provides a potential scope for MFCs to be integrated with dark fermentation process for enhanced energy recovery and simultaneous wastewater treatment.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133646806","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052732
M. A. Rani, C. Nagamani, G. S. Ilango
A unique rotor speed computation method for a Doubly-Fed Wound Rotor Induction Machine (DFIM) without the need for any measurements on the rotor side including the rotor position, is proposed in this paper. The scheme is effective even under unbalanced supply conditions. The rotor speed is computed using easily measurable stator voltages and currents. The rotor currents are computed analytically using the measured stator voltages and currents, and computed position of the stator voltage vector from a stator side (PLL), avoiding intermediate transformations. Further, starting on the fly, improved immunity to machine parameter variation, accurate computation through the synchronous speed are the other advantages. Further, there is no need for integration of voltage or flux or heuristic mathematical calculations. The efficacy of the proposed method is validated viz. simulations using PSCAD/EMTDC and experimentations.
{"title":"A simple speed computation method for DFIM without measurements on rotor side","authors":"M. A. Rani, C. Nagamani, G. S. Ilango","doi":"10.1109/ICTFCEN.2016.8052732","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052732","url":null,"abstract":"A unique rotor speed computation method for a Doubly-Fed Wound Rotor Induction Machine (DFIM) without the need for any measurements on the rotor side including the rotor position, is proposed in this paper. The scheme is effective even under unbalanced supply conditions. The rotor speed is computed using easily measurable stator voltages and currents. The rotor currents are computed analytically using the measured stator voltages and currents, and computed position of the stator voltage vector from a stator side (PLL), avoiding intermediate transformations. Further, starting on the fly, improved immunity to machine parameter variation, accurate computation through the synchronous speed are the other advantages. Further, there is no need for integration of voltage or flux or heuristic mathematical calculations. The efficacy of the proposed method is validated viz. simulations using PSCAD/EMTDC and experimentations.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116425906","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052713
D. Kalyanraj, S. Prakash
Design and implementation of constant frequency sliding mode current control for three phase grid connected Nine Level Multilevel Inverter is presented for distributed generation systems and power quality applications. Limitations in present design of sliding mode controller for grid connected systems are discussed and method to overcome these limitations is proposed. Proposed constant frequency sliding mode control retains the advantages of good dynamic response as in hysteresis control, better reference tracking capability and robustness like predictive control. This current controller has the advantages in constant switching frequency and less sensitivity to parameter variations and non linear loads. Among three well-known multilevel inverter topologies, diode clamped topology is the most common type of converter which is widely used in Wind turbine and photovoltaic applications, as the component device rating and number can be reduced. The proposed controller for multilevel diode clamped inverter is validated through Matlab simulation with inverter performance indices like Reference current tracking (steady state error), Dynamic response(change in grid current reference), Current and Voltage THD and also stability of the controller under non linear load variation is validated with the help of phase plane trajectory. Hence The proposed controller is expected to be an attractive solution for grid connected inverter application which includes distributed generation, power quality as well as it is expected to serve drives application.
{"title":"Design of sliding mode controller for three phase grid connected multilevel inverter for distributed generation systems","authors":"D. Kalyanraj, S. Prakash","doi":"10.1109/ICTFCEN.2016.8052713","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052713","url":null,"abstract":"Design and implementation of constant frequency sliding mode current control for three phase grid connected Nine Level Multilevel Inverter is presented for distributed generation systems and power quality applications. Limitations in present design of sliding mode controller for grid connected systems are discussed and method to overcome these limitations is proposed. Proposed constant frequency sliding mode control retains the advantages of good dynamic response as in hysteresis control, better reference tracking capability and robustness like predictive control. This current controller has the advantages in constant switching frequency and less sensitivity to parameter variations and non linear loads. Among three well-known multilevel inverter topologies, diode clamped topology is the most common type of converter which is widely used in Wind turbine and photovoltaic applications, as the component device rating and number can be reduced. The proposed controller for multilevel diode clamped inverter is validated through Matlab simulation with inverter performance indices like Reference current tracking (steady state error), Dynamic response(change in grid current reference), Current and Voltage THD and also stability of the controller under non linear load variation is validated with the help of phase plane trajectory. Hence The proposed controller is expected to be an attractive solution for grid connected inverter application which includes distributed generation, power quality as well as it is expected to serve drives application.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129670010","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}
Pub Date : 2016-11-01DOI: 10.1109/ICTFCEN.2016.8052714
D. Kalyanraj, S. Prakash, S. Sabareswar
Present Wind mills have certain limiting factors. Most of the wind farms are located quiet far from the power utilizing areas; Monitoring and controlling of such farms are very tedious. Wind farms may be located far inside the sea, may be between the mountains, or Forests. Thus when minor faults occur, the people have to go to that particular location for fault clearing. It requires lot of man power, time and faces sever economical difficulties. Readings of a particular plant is also taken by the similar methods. These limitations can be overcome by the use of Internet of Things concept. Most of the existing products use memory card or PC for data logging. This stored data is accessible only in that particular PC alone. This limitation is also addressed by IoT technology. This work proposes a low cost Wind turbine monitoring and control system with data logging facility. By the use of this proposed system, Parameters of the particular wind plant like amount of Power generation, Magnitude of instantaneous voltage and currents, level of vibration, Turbine speed, Humidity and Temperature can be monitored and used anywhere. In the proposed system Turbine control is adopted based on the turbine vibration level and IoT is implemented by using Raspberry Pi and arduino microcontrollers.
{"title":"Wind turbine monitoring and control systems using Internet of Things","authors":"D. Kalyanraj, S. Prakash, S. Sabareswar","doi":"10.1109/ICTFCEN.2016.8052714","DOIUrl":"https://doi.org/10.1109/ICTFCEN.2016.8052714","url":null,"abstract":"Present Wind mills have certain limiting factors. Most of the wind farms are located quiet far from the power utilizing areas; Monitoring and controlling of such farms are very tedious. Wind farms may be located far inside the sea, may be between the mountains, or Forests. Thus when minor faults occur, the people have to go to that particular location for fault clearing. It requires lot of man power, time and faces sever economical difficulties. Readings of a particular plant is also taken by the similar methods. These limitations can be overcome by the use of Internet of Things concept. Most of the existing products use memory card or PC for data logging. This stored data is accessible only in that particular PC alone. This limitation is also addressed by IoT technology. This work proposes a low cost Wind turbine monitoring and control system with data logging facility. By the use of this proposed system, Parameters of the particular wind plant like amount of Power generation, Magnitude of instantaneous voltage and currents, level of vibration, Turbine speed, Humidity and Temperature can be monitored and used anywhere. In the proposed system Turbine control is adopted based on the turbine vibration level and IoT is implemented by using Raspberry Pi and arduino microcontrollers.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130802470","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}
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