Pub Date : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175285
J. Nimbal, R. L. Naik, S. Jangamshetti
Assessment of wind for a particular site is gaining importance to install an appropriate wind turbine at a particular site. The Weibull distribution function is widely accepted for evaluating the wind probability using scale and shape parameter. This paper presents modeling of scale and shape parameter to assess the wind potential at a selected wind site. A case study is carried out to validate the developed model by collecting wind data over a period of year 2008 at 10m height for the wind site of BEC, Bagalkot, Karnataka, India. It is observed from the results that using the scale parameter and shape parameter of the Weibull distribution function, a choice is made for selecting an appropriate rating of wind turbine for the particular wind site.
{"title":"Wind data analysis: A case study","authors":"J. Nimbal, R. L. Naik, S. Jangamshetti","doi":"10.1109/EPSCICON.2012.6175285","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175285","url":null,"abstract":"Assessment of wind for a particular site is gaining importance to install an appropriate wind turbine at a particular site. The Weibull distribution function is widely accepted for evaluating the wind probability using scale and shape parameter. This paper presents modeling of scale and shape parameter to assess the wind potential at a selected wind site. A case study is carried out to validate the developed model by collecting wind data over a period of year 2008 at 10m height for the wind site of BEC, Bagalkot, Karnataka, India. It is observed from the results that using the scale parameter and shape parameter of the Weibull distribution function, a choice is made for selecting an appropriate rating of wind turbine for the particular wind site.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133787833","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175239
C. Columbus, S. P. Simon
This paper proposes security constrained economic power dispatch (SCED) of the generators using parallel artificial bee colony (PABC) algorithm for electricity markets. The proposed non-linear optimization problem considers simultaneous minimization of deviations from scheduled transactions and minimization of fuel cost of the generators. The problem is formulated as a constrained optimization problem in a way that insures a secure-economic system operation. Incorporation of economic load dispatch (ELD) with voltages and lineflow constraints significantly relieves the assumptions imposed on the optimized objective function. The proposed approach has been tested on two representative systems, i.e. IEEE 14 bus and IEEE 30 bus systems respectively. Here, the message passing interface based technique is used in the PABC algorithm in a shared memory model. The time complexity and the solution quality with respect to the number of processors in a cluster are thoroughly analyzed.
{"title":"A parallel ABC for security constrained economic dispatch using shared memory model","authors":"C. Columbus, S. P. Simon","doi":"10.1109/EPSCICON.2012.6175239","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175239","url":null,"abstract":"This paper proposes security constrained economic power dispatch (SCED) of the generators using parallel artificial bee colony (PABC) algorithm for electricity markets. The proposed non-linear optimization problem considers simultaneous minimization of deviations from scheduled transactions and minimization of fuel cost of the generators. The problem is formulated as a constrained optimization problem in a way that insures a secure-economic system operation. Incorporation of economic load dispatch (ELD) with voltages and lineflow constraints significantly relieves the assumptions imposed on the optimized objective function. The proposed approach has been tested on two representative systems, i.e. IEEE 14 bus and IEEE 30 bus systems respectively. Here, the message passing interface based technique is used in the PABC algorithm in a shared memory model. The time complexity and the solution quality with respect to the number of processors in a cluster are thoroughly analyzed.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116276711","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175281
S. Singh
In recent years Hybrid Electric Vehicles(HEV) are being produced by major automobile companies. Permanent Magnet Synchronous Motors due to their unique features are a good candidate for replacing Induction Motors in HEV and EV applications. In this paper Current Ramp Control Technique is used to generate the gate pulses for the Voltage source inverter instead of the Current Hysteresis Control. Hence the switching frequency of the inverter is kept constant.
{"title":"Simulation of a PMSM based electric motor propulsion system for HEV application using fixed inverter switching frequency","authors":"S. Singh","doi":"10.1109/EPSCICON.2012.6175281","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175281","url":null,"abstract":"In recent years Hybrid Electric Vehicles(HEV) are being produced by major automobile companies. Permanent Magnet Synchronous Motors due to their unique features are a good candidate for replacing Induction Motors in HEV and EV applications. In this paper Current Ramp Control Technique is used to generate the gate pulses for the Voltage source inverter instead of the Current Hysteresis Control. Hence the switching frequency of the inverter is kept constant.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116434865","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175280
K. Pramelakumari, S. R. Anand, V. P. Jagathy Raj, E. A. Jasmin
Short term load forecasting is one of the key inputs to optimize the management of power system. Almost 60-65% of revenue expenditure of a distribution company is against power purchase. Cost of power depends on source of power. Hence any optimization strategy involves optimization in scheduling power from various sources. As the scheduling involves many technical and commercial considerations and constraints, the efficiency in scheduling depends on the accuracy of load forecast. Load forecasting is a topic much visited in research world and a number of papers using different techniques are already presented. The accuracy of forecast for the purpose of merit order dispatch decisions depends on the extent of the permissible variation in generation limits. For a system with low load factor, the peak and the off peak trough are prominent and the forecast should be able to identify these points to more accuracy rather than minimizing the error in the energy content. In this paper an attempt is made to apply Artificial Neural Network (ANN) with supervised learning based approach to make short term load forecasting for a power system with comparatively low load factor. Such power systems are usual in tropical areas with concentrated rainy season for a considerable period of the year.
{"title":"Short-term load forecast of a low load factor power system for optimization of merit order dispatch using adaptive learning algorithm","authors":"K. Pramelakumari, S. R. Anand, V. P. Jagathy Raj, E. A. Jasmin","doi":"10.1109/EPSCICON.2012.6175280","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175280","url":null,"abstract":"Short term load forecasting is one of the key inputs to optimize the management of power system. Almost 60-65% of revenue expenditure of a distribution company is against power purchase. Cost of power depends on source of power. Hence any optimization strategy involves optimization in scheduling power from various sources. As the scheduling involves many technical and commercial considerations and constraints, the efficiency in scheduling depends on the accuracy of load forecast. Load forecasting is a topic much visited in research world and a number of papers using different techniques are already presented. The accuracy of forecast for the purpose of merit order dispatch decisions depends on the extent of the permissible variation in generation limits. For a system with low load factor, the peak and the off peak trough are prominent and the forecast should be able to identify these points to more accuracy rather than minimizing the error in the energy content. In this paper an attempt is made to apply Artificial Neural Network (ANN) with supervised learning based approach to make short term load forecasting for a power system with comparatively low load factor. Such power systems are usual in tropical areas with concentrated rainy season for a considerable period of the year.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126493380","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175231
T. Renuka, S. Manakkal
Power System Stabilizers (PSS) are used to generate supplementary damping control signals for the excitation system in order to damp the Low Frequency Oscillations (LFO) of the electric power system. This paper presents a tuned fuzzy logic based power system stabilizer (TFPSS) capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbance. The proposed TFPSS is evaluated against the conventional power system stabilizer (CPSS) at a single machine infinite bus power system. The simulation results clearly indicate the effectiveness and validity of the proposed method.
{"title":"A tuned fuzzy based power system stabilizer for damping of Low Frequency Oscillations","authors":"T. Renuka, S. Manakkal","doi":"10.1109/EPSCICON.2012.6175231","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175231","url":null,"abstract":"Power System Stabilizers (PSS) are used to generate supplementary damping control signals for the excitation system in order to damp the Low Frequency Oscillations (LFO) of the electric power system. This paper presents a tuned fuzzy logic based power system stabilizer (TFPSS) capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbance. The proposed TFPSS is evaluated against the conventional power system stabilizer (CPSS) at a single machine infinite bus power system. The simulation results clearly indicate the effectiveness and validity of the proposed method.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131120762","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175277
B. Nair, M. Patturajan, V. Mohandas, R. R. Sreenivasan
Accurate prediction of financial time series (which can be considered as nonlinear systems) especially in relation to emerging markets like India assumes prominence in that, these markets offer significantly higher opportunities for wealth creation for the investor. This paper compares the effectiveness of different types of Adaptive network architectures in one-step ahead prediction of the daily returns of Bombay Stock Exchange Sensitive Index (SENSEX). The performance of each network is evaluated using 17 different performance measures to find the best network architecture. Also, an empirical evaluation of the weak form of Efficient Market Hypothesis (EMH) for the data in reference is carried out here.
{"title":"Predicting the BSE Sensex: Performance comparison of adaptive linear element, feed forward and time delay neural networks","authors":"B. Nair, M. Patturajan, V. Mohandas, R. R. Sreenivasan","doi":"10.1109/EPSCICON.2012.6175277","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175277","url":null,"abstract":"Accurate prediction of financial time series (which can be considered as nonlinear systems) especially in relation to emerging markets like India assumes prominence in that, these markets offer significantly higher opportunities for wealth creation for the investor. This paper compares the effectiveness of different types of Adaptive network architectures in one-step ahead prediction of the daily returns of Bombay Stock Exchange Sensitive Index (SENSEX). The performance of each network is evaluated using 17 different performance measures to find the best network architecture. Also, an empirical evaluation of the weak form of Efficient Market Hypothesis (EMH) for the data in reference is carried out here.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129381855","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175255
V. Padmanabhan, V. Beena, M. Jayaraju
To meet the future energy requirement and to give quality and pollution free supply to growing and environment conscious population, the present world is giving special attention to natural, clean and renewable energy sources. Due to growing demand for electrical energy and environmental issues such as pollution and global warming effect, solar energy is considered among one of the best options for generating clean energy. In this paper a fuzzy logic controller (FLC) is used as an intelligent method for Maximum Power Point Tracking (MPPT) for a Photo Voltaic (PV) system. Fuzzy logic has been used for tracking the Maximum Power Point of PV systems because it has the advantages of being robust, relatively simple to design and does not require the knowledge of an exact model.
{"title":"Fuzzy logic based Maximum Power Point Tracker for a Photovoltaic system","authors":"V. Padmanabhan, V. Beena, M. Jayaraju","doi":"10.1109/EPSCICON.2012.6175255","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175255","url":null,"abstract":"To meet the future energy requirement and to give quality and pollution free supply to growing and environment conscious population, the present world is giving special attention to natural, clean and renewable energy sources. Due to growing demand for electrical energy and environmental issues such as pollution and global warming effect, solar energy is considered among one of the best options for generating clean energy. In this paper a fuzzy logic controller (FLC) is used as an intelligent method for Maximum Power Point Tracking (MPPT) for a Photo Voltaic (PV) system. Fuzzy logic has been used for tracking the Maximum Power Point of PV systems because it has the advantages of being robust, relatively simple to design and does not require the knowledge of an exact model.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126932570","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175250
N. Jayalakshmi, D. N. Gaonkar
This paper presents modeling, simulation and transient analysis of three phase self-excited induction generator (SEIG) driven by a wind turbine. Three phase self-excited induction generator is driven by a variable-speed prime mover such as a wind turbine for the clean alternative renewable energy in rural areas. Transients of machine self-excitation under three phase balanced load conditions are simulated using a Matlab/Simulink block diagram for constant, step change in wind speed and random variation in wind speed.
{"title":"Dynamic modeling and analysis of an isolated self excited induction generator driven by a wind turbine","authors":"N. Jayalakshmi, D. N. Gaonkar","doi":"10.1109/EPSCICON.2012.6175250","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175250","url":null,"abstract":"This paper presents modeling, simulation and transient analysis of three phase self-excited induction generator (SEIG) driven by a wind turbine. Three phase self-excited induction generator is driven by a variable-speed prime mover such as a wind turbine for the clean alternative renewable energy in rural areas. Transients of machine self-excitation under three phase balanced load conditions are simulated using a Matlab/Simulink block diagram for constant, step change in wind speed and random variation in wind speed.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401644","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175251
P. Usha, P. Manohar
Basic Bulk power systems require active and reactive power control for improved performance during transients. This paper investigates the dynamic performance of HVDC system with an energy storage device, which can control the active and reactive power independently. A super conducting magnetic energy storage device with a fuzzy logic controller is connected at the inverter ac bus to control the power. The dynamic performance of the HVDC system is carried out for various transient conditions and the results are presented. The simulation of HVDC system with SMES coil is carried out using PSCAD/EMTDC package. Fuzzy logic controller is simulated in MATLAB/SIMULINK and interfaced with PSCAD/EMTDC package.
{"title":"Dynamic performance of HVDC system with fuzzy controlled SMES","authors":"P. Usha, P. Manohar","doi":"10.1109/EPSCICON.2012.6175251","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175251","url":null,"abstract":"Basic Bulk power systems require active and reactive power control for improved performance during transients. This paper investigates the dynamic performance of HVDC system with an energy storage device, which can control the active and reactive power independently. A super conducting magnetic energy storage device with a fuzzy logic controller is connected at the inverter ac bus to control the power. The dynamic performance of the HVDC system is carried out for various transient conditions and the results are presented. The simulation of HVDC system with SMES coil is carried out using PSCAD/EMTDC package. Fuzzy logic controller is simulated in MATLAB/SIMULINK and interfaced with PSCAD/EMTDC package.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133276592","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175257
K. Ahsanullah, J. Ravishankar
The aim of this paper is to explore the various dynamic controllers to enhance the fault ride-through (FRT) of doubly-fed induction generators (DFIGs). A wind farm of total capacity 9 MW is considered for the study. The flexible AC transmission system (FACTS) controllers like Static Synchronous Compensators (STATCOM) and Unified Power Flow Controllers (UPFC) are modelled and analysed to study their effect on the voltage at the point of common coupling (PCC) and FRT capability. This is then compared with the FRT capability of existing crow bar controller added to the converters of DFIG. The simulation is carried out using MATLAB/Simulink. A new Simulink model is developed for DFIG, to make it versatile for any FRT control strategy. The results presented show the effectiveness of the model.
{"title":"Fault ride-through of doubly-fed induction generators","authors":"K. Ahsanullah, J. Ravishankar","doi":"10.1109/EPSCICON.2012.6175257","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175257","url":null,"abstract":"The aim of this paper is to explore the various dynamic controllers to enhance the fault ride-through (FRT) of doubly-fed induction generators (DFIGs). A wind farm of total capacity 9 MW is considered for the study. The flexible AC transmission system (FACTS) controllers like Static Synchronous Compensators (STATCOM) and Unified Power Flow Controllers (UPFC) are modelled and analysed to study their effect on the voltage at the point of common coupling (PCC) and FRT capability. This is then compared with the FRT capability of existing crow bar controller added to the converters of DFIG. The simulation is carried out using MATLAB/Simulink. A new Simulink model is developed for DFIG, to make it versatile for any FRT control strategy. The results presented show the effectiveness of the model.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131968119","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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