{"title":"Performance optimization of a dual-rotor wind turbine system","authors":"R. Habash, V. Groza, P. Guillemette","doi":"10.1109/EPEC.2010.5697229","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697229","url":null,"abstract":"We are building an efficient and smart wind turbine system. The significant features of this turbine are its dual rotor blade system which is positioned horizontally at upwind and downwind locations, its drive train which is installed horizontally inside the tower with a new efficient induction generator, and its control and safety systems. The project focuses mainly on the methodology to analyze the power flow performance. The scientific literature indicates that a dual-rotor system could extract additional 20–30% power compared to a single rotor system from the same wind stream. Our wind tunnel test indicates that a scaled-down version of the dual-rotor turbine system may produce up to 60% more power than a single-rotor system. Designed for on-site power generation by commercial, industrial, and residential electric users in remote locations, our model uses wind tunnel effect to capture and amplify wind for optimized production of energy. It is intended that this turbine system will be available in tower-mounted design and can capture wind in regions where it has low speed wind. The successful design should allow an economical transition to a utility scale.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132540517","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":"An intelligent weather-based system to support optimal routing of power transmission lines","authors":"P. Pytlak, P. Musílek","doi":"10.1109/EPEC.2010.5697231","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697231","url":null,"abstract":"The recent increase in demand for power and the proliferation of remotely located renewable energy sources, have put pressure on electric power utilities to upgrade and expand their existing transmission infrastructure. Unfortunately, the construction of new power transmission lines is a costly and time consuming endeavour. In order to maximize the return on investment in the construction of new power transmission lines, this process should be supported by information on the climatological conditions in the planned area, and their effect on the power line operating conditions and ageing. This paper presents an intelligent system that supports the optimization of the line routing process using high-resolution meteorological data. The proposed system selects waypoint coordinates for the transmission line using an algorithm that attempts to minimize the line temperature by avoiding locations that are prone to cause temperature hot-spots. This, in turn, provides gains in additional transmission capacity when coupled with Dynamic Thermal Rating technology, allowing utility companies to increase the return on investment even further.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129534781","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 novel Dynamic Voltage Regulator compensation for a stand alone tidal energy conversion scheme","authors":"T. Aboul-Seoud, A. Sharaf","doi":"10.1109/EPEC.2010.5697210","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697210","url":null,"abstract":"Tidal energy is a cheap, clean and abundant source of energy that can be used to feed isolated loads as well as grid connected ones. The variation of output power with the continuous variation of tides can cause significant power quality issues, especially in the case of stand-alone rural loads. The presence of a FACTS device can introduce a significant improvement to the power quality of such networks. This paper studies a stand-alone network consisting of a rural load, such as a small village, fed from a tidal turbine. The effect of the variation in tides on the power quality is illustrated via simulation. The introduction of the Dynamic Voltage Regulator (DVR) to the network establishes a significant improvement to the power quality. The proposed DVR is a cheap and robust FACTS based device. It is controlled via a tri-loop dynamic error-driven PI controller. This scheme proved its ability to introduce a significant improvement which is illustrated via comparing the simulation results of the studied network with and without the DVR.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129567039","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":"Vehicle to grid in Nova Scotia","authors":"Karen Pahlavan, T. Little","doi":"10.1109/EPEC.2010.5697251","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697251","url":null,"abstract":"Although Nova Scotia produces only 2.8% of Canada's total greenhouse gases (GHG), it has the fourth highest per capita emissions. These emissions come largely from electricity generation and transportation sectors. This is because fossil fuels are the main sources of electricity generation and even in the cleanest GHG reduction scenario fossil fuels will still contribute 60% of the electricity generation in 2020. In addition, Nova Scotia is the sixth highest province in terms of number of cars per capita, at 0.59 cars per person. However, using vehicle-to-grid (V2G) technology, these cars can have the potential to help the power utility and transportation sectors decrease their GHG emissions and at the same time allow an increase in the renewable sources serving the province. This paper analyzes how the province can benefit from V2G technology in the future.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123613225","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":"Modeling and optimization of power coefficient using 2K factorial methodology","authors":"M. Arifujjaman","doi":"10.1109/EPEC.2010.5697173","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697173","url":null,"abstract":"The main objective of this paper is to model the power coefficient in order to optimize the design of a horizontal axis wind turbine rotor to ensure the optimum aerodynamic power production, based on statistical Design of Experiment (DOE). Sophisticated aerodynamics of the wind turbine and blade geometry is discussed and used to generate the optimum chord and twist distribution of the rotating blades. The dependent variables of the power coefficient are found as the pitch angle, number of blades, and chord and twist distribution. A nonlinear model of the power coefficient based on the dependent variable and their interactions is investigated with the adoption in a 2K factorial design. The significance of the variables as well as the power coefficient model is ensured by the analysis of variance table and scree plots. Interaction plots revealed that the high value of pitch angle and low value of number of blades has the dominant contribution on the power coefficient, while chord and twist distribution is less significant. The results obtained can be used for feasibility study, optimization, and control of the wind turbine control strategy is feasible and results are verified through simulation.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127961466","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":"Tidal currents forecasting using a hybrid of ANN and least squares model","authors":"H. Aly, M. El-Hawary","doi":"10.1109/EPEC.2010.5697203","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697203","url":null,"abstract":"Forecasting is the first step for dealing with the future generation of the tidal current power. A neural network is one of the most commonly used models for forecasting. It is generally constructed from input, output and hidden layers. The least squares method is used to determine the approximate solution of over-determined system in which the number of equations is greater than the number of unknowns. In this study tidal currents models based on combining an artificial neural network (ANN) and the least squares method (LSM) were developed and evaluated for forecasting currents over a future month. The results of the least squares model are compared with those of the artificial neural networks. A hybrid model of ANN and least squares is proposed and this model gives good results compared to either the ANN or LSM alone. This study was done using data collected from the Bay of Fundy in 2008.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115056488","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":"Modeling, simulation and control of grid connected Permanent Magnet Generator (PMG)-based small wind energy conversion system","authors":"M. Arifujjaman","doi":"10.1109/EPEC.2010.5697174","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697174","url":null,"abstract":"A small scale wind energy conversion system has tremendous diversity of use and operating conditions, and consequently is evolving rapidly along with the large scale wind energy conversion system for generation of electricity in either stand-alone or grid connected applications. In recent years, the grid connected small wind turbine industry is primarily dominated by the Permanent Magnet Generator (PMG) machines. The power conditioning systems for grid connection of the PMG-based system requires a rectifier, boost converter and a grid-tie inverter. Such system should be based on an appropriate control strategy to control the aerodynamic power during high wind speed, maximum power production, and maximum power flow to the grid at all operating conditions. This paper presents mathematical modeling and control strategy for the grid connected PMG-based small wind turbine systems. Furling control and expected dynamics are adopted with the wind turbine for aerodynamic power control, while the optimum speed of the PMG is followed to ensure maximum power production. A novel controller is derived from the optimum speed information that promise maximum power flow to the grid by controlling the boost converter output voltage and current through the duty cycle. It is found that the proposed modeling and control strategy is feasible and results are verified through simulation.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413299","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":"Efficiency improvement of a DC-DC converter used in Series-Connected Boost Converters","authors":"M. Mirsamadi, M. Taherbaneh, A. Rezaie","doi":"10.1109/EPEC.2010.5697196","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697196","url":null,"abstract":"Today's power converter industry is apparently heavily influenced by the need to achieve two important goals: high efficiency and small weight and size. Switching frequency of the converter is a factor that moves the mentioned desired characteristics to opposite directions, improving one and deteriorating the other. A higher switching frequency allows us to use smaller components, but in return it reduces efficiency. At full load, the use of high frequencies is an obligation, since it is the way to avoid excessive output ripple and core saturation. At light loads however, we can improve efficiency by reducing switching frequency. The practical implementation of such a variable switching frequency scheme is discussed for a Push-Pull DC-DC converter used in a Series-Connected Boost Converter (SCBC.) Various approaches to implement the technique are discussed, and experimental results are provided. It was finally shown through the experiments that efficiency improvements up to 15% can be expected at light loads when using variable switching frequency.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130543100","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}
S. Hoseinnia, S. Sadeghzadeh, A. Fathi, Mojtaba Mohammadi Nasiri
{"title":"Evaluating one of renewable electricity generation technologies: PEM Fuel Cells","authors":"S. Hoseinnia, S. Sadeghzadeh, A. Fathi, Mojtaba Mohammadi Nasiri","doi":"10.1109/EPEC.2010.5697201","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697201","url":null,"abstract":"Proton Exchange Membrane (PEM) Fuel Cells are attracting most of the electricity consumers because of high efficiency, zero carbon emissions and high reliability. There are many parameters influencing on this power source's operation. A model of PEM fuel cell will be presented and the sensitivity of the fuel cell's parameters will be analyzed. Multi Parameters Sensitivity Analysis is used next to examine the relative importance of the influential parameters on the PEM fuel cell operation.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123523795","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":"Direct torque and flux control of the converters for a permanent magnet wind power generation system","authors":"Z. Xu, P. Ge, Dianguo Xu, C.H. Zhang","doi":"10.1109/EPEC.2010.5697182","DOIUrl":"https://doi.org/10.1109/EPEC.2010.5697182","url":null,"abstract":"This paper presents a Space-Vector Modulated (SVM) Direct-Torque-Control (DTC) scheme for a direct-drive permanent magnet synchronous generator (PMSG) and a gird converter for wind energy without any position sensor. Direct control of the rotating velocity and amplitude of the stator flux vector allows very fast torque response of the PMSG according to the generator speed. Fixed switching frequency and very low torque ripple are obtained with space vector modulation. SVM-DTC can also be implemented into the grid converter in which nearly sinusoidal input current and fast dc link voltage regulation can be achieved. Experimental results verify the effectiveness of the proposed control technique for the PMSG and grid converter other than the widely used field orientated control.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121676091","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}