Pub Date : 2014-06-10DOI: 10.1109/CTPP.2014.7040709
M. Sadeghi, M. Kalantar
This paper presents a wind turbine planning problem through generating the different possible scenarios in order to reduce the annual costs of the distribution system. Since the wind turbines output power has a high dependency in wind speed, and the wind speed has an intermittent nature, so modeling of these units is an interesting issue in distribution system studies. This paper considers a specific Rayleigh distribution function for the wind speed in each hour and the different possible scenarios of wind turbine generation with the related probabilities are determined for each hour. Finally the appropriate size and site of the wind turbines is calculated based on all of the defined scenarios. The presented problem is applied on a 9 bus test distribution system using continuous genetic algorithm.
{"title":"Probabilistic analysis of wind turbine planning using continuous genetic algorithm in distribution systems","authors":"M. Sadeghi, M. Kalantar","doi":"10.1109/CTPP.2014.7040709","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040709","url":null,"abstract":"This paper presents a wind turbine planning problem through generating the different possible scenarios in order to reduce the annual costs of the distribution system. Since the wind turbines output power has a high dependency in wind speed, and the wind speed has an intermittent nature, so modeling of these units is an interesting issue in distribution system studies. This paper considers a specific Rayleigh distribution function for the wind speed in each hour and the different possible scenarios of wind turbine generation with the related probabilities are determined for each hour. Finally the appropriate size and site of the wind turbines is calculated based on all of the defined scenarios. The presented problem is applied on a 9 bus test distribution system using continuous genetic algorithm.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582863","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040712
A. Arash, S. Safavipour, Meysam Pandeh, Mostafa Sohrabi Gilani
This paper presents a new modified Interactive Honey Bee Mating Optimization (IHBMO) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load forecasting. A proper combination of several objectives is considered in the objective function. Reduction of loss and power purchased from the electricity market, loss reduction in peak load level and reduction in voltage deviation are considered simultaneously as the objective functions. At first these objectives are fuzzified and designed to be comparable with each other and then they are introduced to a IHBMO algorithm in order to obtain the solution which maximizes the value of integrated objective function. The output power of DERs is scheduled for each load level. An enhanced economic model is also proposed to justify investment on DER. IEEE 30-bus radial distribution test system is used as an illustrative example to show the effectiveness of the proposed method.
{"title":"Using IHBMO method for fuzzy stochastic long-term model with considered uncertainties for deployment of Distributed Energy Resources","authors":"A. Arash, S. Safavipour, Meysam Pandeh, Mostafa Sohrabi Gilani","doi":"10.1109/CTPP.2014.7040712","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040712","url":null,"abstract":"This paper presents a new modified Interactive Honey Bee Mating Optimization (IHBMO) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load forecasting. A proper combination of several objectives is considered in the objective function. Reduction of loss and power purchased from the electricity market, loss reduction in peak load level and reduction in voltage deviation are considered simultaneously as the objective functions. At first these objectives are fuzzified and designed to be comparable with each other and then they are introduced to a IHBMO algorithm in order to obtain the solution which maximizes the value of integrated objective function. The output power of DERs is scheduled for each load level. An enhanced economic model is also proposed to justify investment on DER. IEEE 30-bus radial distribution test system is used as an illustrative example to show the effectiveness of the proposed method.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124085028","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040607
B. Alinejad, H. Kazemi Karegar
This paper proposes a new method for Out-of-Step (OOS) backup protection based on wide area measurements and discrete wavelet transform. The generators synchronized voltage and current phasors are transferred to Phasor Data Concentrator (PDC) center by means of Phasor Measurement Units (PMU). In PDC, the transmitted voltage and current signals are decomposed separately, at some levels, with a predefined Discrete Wavelet Transform (DWT). The retained energy in some decomposition levels of voltage and current signals is extracted and compared in an Energy V-I Plane, which reveals the generator instability. The algorithm is simulated on a Single-Machine-Infinite-Bus (SMIB) system, which obtained results show the efficiency and performance of the proposed algorithm as a backup protection for conventional OOS relays.
{"title":"A novel out-of-step relay using wide area measurements","authors":"B. Alinejad, H. Kazemi Karegar","doi":"10.1109/CTPP.2014.7040607","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040607","url":null,"abstract":"This paper proposes a new method for Out-of-Step (OOS) backup protection based on wide area measurements and discrete wavelet transform. The generators synchronized voltage and current phasors are transferred to Phasor Data Concentrator (PDC) center by means of Phasor Measurement Units (PMU). In PDC, the transmitted voltage and current signals are decomposed separately, at some levels, with a predefined Discrete Wavelet Transform (DWT). The retained energy in some decomposition levels of voltage and current signals is extracted and compared in an Energy V-I Plane, which reveals the generator instability. The algorithm is simulated on a Single-Machine-Infinite-Bus (SMIB) system, which obtained results show the efficiency and performance of the proposed algorithm as a backup protection for conventional OOS relays.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422314","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040698
Davoud Gholamiangonabadi, Seyed Danial Mohseni Taheri, A. Mohammadi, M. Menhaj
According to high application of electrical industry in different industrial branches, generation and distribution of power energy is one of the most challenges of countries. The next step is its appropriate and qualified distribution after generation of electricity in powerhouses. Hence, this paper investigates the efficiency of cable companies in Tehrans Stock Exchange (TSE) according to key effects of providers in power distribution generation. Prediction price indicator movement has always been a challenging task in the exploitation of time series for forecasting. Exact prediction of price indicator movement may offer numerous privileges for investors. As a result of the complexity of stock market data, development of efficient models is often not simple. This research have combined a number of methods namely as Principal Component Analysis (PCA), Stepwise Regression Analysis (SRA) and Artificial Neural Networks (ANN) by technical analysis tools of financial markets. In proceeding, the efficiency of each set in predicting the indicator trend of stocks' total price, have been compared. Data used in this research have been collected from cable companies in the stock exchange between 2007 and 2013. Using empirical results, this research introduces an efficient set of technical indicators for forecasting total price indicator movement in cable companies in TSE. Other results of this research indicate more accuracy of SRA and neural networks in comparison with PCA and neural networks.
{"title":"Investigating the performance of technical indicators in electrical industry in Tehran's Stock Exchange using hybrid methods of SRA, PCA and Neural Networks","authors":"Davoud Gholamiangonabadi, Seyed Danial Mohseni Taheri, A. Mohammadi, M. Menhaj","doi":"10.1109/CTPP.2014.7040698","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040698","url":null,"abstract":"According to high application of electrical industry in different industrial branches, generation and distribution of power energy is one of the most challenges of countries. The next step is its appropriate and qualified distribution after generation of electricity in powerhouses. Hence, this paper investigates the efficiency of cable companies in Tehrans Stock Exchange (TSE) according to key effects of providers in power distribution generation. Prediction price indicator movement has always been a challenging task in the exploitation of time series for forecasting. Exact prediction of price indicator movement may offer numerous privileges for investors. As a result of the complexity of stock market data, development of efficient models is often not simple. This research have combined a number of methods namely as Principal Component Analysis (PCA), Stepwise Regression Analysis (SRA) and Artificial Neural Networks (ANN) by technical analysis tools of financial markets. In proceeding, the efficiency of each set in predicting the indicator trend of stocks' total price, have been compared. Data used in this research have been collected from cable companies in the stock exchange between 2007 and 2013. Using empirical results, this research introduces an efficient set of technical indicators for forecasting total price indicator movement in cable companies in TSE. Other results of this research indicate more accuracy of SRA and neural networks in comparison with PCA and neural networks.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125591075","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040610
Negar Ganjouhaghighi
This paper investigates the Granger causality between Electricity consumption per capita (ECC) and real GDP per capita, GDP based on Purchasing Power Parity (PPP) per capita, government spending, and total national savings. The data period is from 1980 to 2010. The results of the Stationary test show that all variables are integrated to an order of one. ECC and real GDP per capita, GDP based on PPP per capita, and government spending are not cointegrated and there is no long run relationship between them and for examining the causality nexus the Vector Auto Regression model (VAR) is applied. On the other hand, ECC and total national savings are cointegrated so the Vector Error Correction Model (VECM) is used for causality analysis. The results of the Granger causality test indicate that GDP based on PPP per capita granger causes the ECC. Since GDP based on PPP is a comparative measure of standard of living, it can be concluded that when the relative standard of living in Iran improves, ECC increases as well. However, PPP figures are estimates rather than hard facts, and should be used with caution.
{"title":"Causality analysis between electricity consumption and real GDP, GDP based on Purchasing Power Parity, government spending, and total national savings in Iran","authors":"Negar Ganjouhaghighi","doi":"10.1109/CTPP.2014.7040610","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040610","url":null,"abstract":"This paper investigates the Granger causality between Electricity consumption per capita (ECC) and real GDP per capita, GDP based on Purchasing Power Parity (PPP) per capita, government spending, and total national savings. The data period is from 1980 to 2010. The results of the Stationary test show that all variables are integrated to an order of one. ECC and real GDP per capita, GDP based on PPP per capita, and government spending are not cointegrated and there is no long run relationship between them and for examining the causality nexus the Vector Auto Regression model (VAR) is applied. On the other hand, ECC and total national savings are cointegrated so the Vector Error Correction Model (VECM) is used for causality analysis. The results of the Granger causality test indicate that GDP based on PPP per capita granger causes the ECC. Since GDP based on PPP is a comparative measure of standard of living, it can be concluded that when the relative standard of living in Iran improves, ECC increases as well. However, PPP figures are estimates rather than hard facts, and should be used with caution.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121394975","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040697
N. Rashidirad, E. Afjei, A. Jalali, A. Rezazade
In photovoltaic sources, operating current and voltage, due to variable environmental conditions, will change. Since the operating point can maximize output power, one approach to use a maximum power point tracking seems to be necessary. Typically MPPT algorithms are implemented on a solar system utilizing a switching power converter. The used DC-DC converter in this paper is a boost; therefore choosing an adequate topology of boost converter is very important. In this paper resonant boost converters have been compared with conventional ones.
{"title":"Comparison of conventional and resonant boost converters for grid-connected solar systems","authors":"N. Rashidirad, E. Afjei, A. Jalali, A. Rezazade","doi":"10.1109/CTPP.2014.7040697","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040697","url":null,"abstract":"In photovoltaic sources, operating current and voltage, due to variable environmental conditions, will change. Since the operating point can maximize output power, one approach to use a maximum power point tracking seems to be necessary. Typically MPPT algorithms are implemented on a solar system utilizing a switching power converter. The used DC-DC converter in this paper is a boost; therefore choosing an adequate topology of boost converter is very important. In this paper resonant boost converters have been compared with conventional ones.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115518523","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040708
A. Zohoori, A. Vahedi, M. Noroozi
Flux Switching Permanent Magnet Machine (FSPM) is categorized as a newest type of machine which has the benefits of brushless permanent magnet (PM) and switched reluctance machine (SRM) simultaneously. The illustrious obtained characteristics from those mentioned machines such as fault tolerant capability, high torque and power density and simple structure provide a very bright future for FSPM in wind turbine power application. In this paper a thorough sensitivity analysis is presented. Firstly the simulation is carried out to achieve the best PM width in order to reduce the total cost while the proper electromagnetic performance of the machine is achieved. Secondly the stator and rotor teeth are changed with the specific step in a reasonable range in order to perfectly analysis the effect of them on electromagnetic force (EMF), output power and electromagnetic torque novel outer rotor configuration design of FSPM is proposed.
{"title":"Sensitivity analysis of 6–19 pole outer rotor configuration of FSPM generator for wind turbine application","authors":"A. Zohoori, A. Vahedi, M. Noroozi","doi":"10.1109/CTPP.2014.7040708","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040708","url":null,"abstract":"Flux Switching Permanent Magnet Machine (FSPM) is categorized as a newest type of machine which has the benefits of brushless permanent magnet (PM) and switched reluctance machine (SRM) simultaneously. The illustrious obtained characteristics from those mentioned machines such as fault tolerant capability, high torque and power density and simple structure provide a very bright future for FSPM in wind turbine power application. In this paper a thorough sensitivity analysis is presented. Firstly the simulation is carried out to achieve the best PM width in order to reduce the total cost while the proper electromagnetic performance of the machine is achieved. Secondly the stator and rotor teeth are changed with the specific step in a reasonable range in order to perfectly analysis the effect of them on electromagnetic force (EMF), output power and electromagnetic torque novel outer rotor configuration design of FSPM is proposed.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124672106","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040608
S. A. Salamati, H. Taghirad, Ali Chaibakhsh
In this paper, a precise and nonlinear model is developed for Nekka power plant turbine from its experimental data and documents. It is proposed to use boiler-turbine coordinated control system to increase effective efficiency of the steam unit. Identification procedures have been performed to obtain continuous time models of Nekka steam turbine at various loads. After determining the upper bound for uncertainty and choosing a good performance weighting function, a robust controller has been designed and implemented in closed loop for the turbine nonlinear model. Since the closed loop performance was not as required, a cascade controller structure is proposed, in which the turbine loop is closed by a PI controller in order to significantly reduce the uncertainty. Simulation results demonstrate the suitable performance of the closed loop in terms of tracking, speed of response, and damping of oscillations.
{"title":"Robust control of a steam turbine power based on a precise nonlinear model","authors":"S. A. Salamati, H. Taghirad, Ali Chaibakhsh","doi":"10.1109/CTPP.2014.7040608","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040608","url":null,"abstract":"In this paper, a precise and nonlinear model is developed for Nekka power plant turbine from its experimental data and documents. It is proposed to use boiler-turbine coordinated control system to increase effective efficiency of the steam unit. Identification procedures have been performed to obtain continuous time models of Nekka steam turbine at various loads. After determining the upper bound for uncertainty and choosing a good performance weighting function, a robust controller has been designed and implemented in closed loop for the turbine nonlinear model. Since the closed loop performance was not as required, a cascade controller structure is proposed, in which the turbine loop is closed by a PI controller in order to significantly reduce the uncertainty. Simulation results demonstrate the suitable performance of the closed loop in terms of tracking, speed of response, and damping of oscillations.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688733","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040606
S. Pazouki, M. Haghifam
One of the prominent reason to establish new fossil fuels power plants and transmission line expansion is growing requirements to energy. Establishing new power plants is with the increase of greenhouse gas emission and huge investment costs. Virtual Power Plants (VPPs) are considered as the effective solution to prevent fossil fuels power plant establishment and transmission lines expansion with huge investment costs. In fact, integration of Distributed Energy Resources (DERs) to electric distribution network provides a virtual plant to supply required energy in the place. On the other hand, Combined Heat and Power (CHP) is a great example of the DERs with potential of combining different energy infrastructures such as electricity and gas networks. In this paper, effects of VPPs on multiple carrier energy networks (gas and electricity) are taken into account. Simulation results demonstrate that how much energy consumptions and peak demands as well as energy costs are decreased by connection of the DERs to electric distribution network. Results demonstrate that 7% to 47% operation costs reduction as well as 16% to 76% peak reduction is as the result of establishing a VPP.
新建化石燃料发电厂和扩建输电线路的一个突出原因是对能源的需求日益增长。新建电厂伴随着温室气体排放的增加和巨大的投资成本。虚拟电厂(Virtual Power Plants, vpp)被认为是解决新建化石燃料电厂和扩建输电线路投资成本巨大问题的有效解决方案。事实上，分布式能源(DERs)与配电网的集成提供了一个虚拟工厂来提供所需的能源。另一方面，热电联产(CHP)是一个很好的例子，它具有结合电力和天然气网络等不同能源基础设施的潜力。本文考虑了vpp对多个载波能源网络(天然气和电力)的影响。仿真结果表明，将分布式电源与配电网连接后，可以降低电网的能耗、峰值需求和能源成本。结果表明，由于建立了VPP，操作成本降低了7%至47%，峰值降低了16%至76%。
{"title":"The impacts of Virtual Power Plants on multiple carrier energy networks","authors":"S. Pazouki, M. Haghifam","doi":"10.1109/CTPP.2014.7040606","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040606","url":null,"abstract":"One of the prominent reason to establish new fossil fuels power plants and transmission line expansion is growing requirements to energy. Establishing new power plants is with the increase of greenhouse gas emission and huge investment costs. Virtual Power Plants (VPPs) are considered as the effective solution to prevent fossil fuels power plant establishment and transmission lines expansion with huge investment costs. In fact, integration of Distributed Energy Resources (DERs) to electric distribution network provides a virtual plant to supply required energy in the place. On the other hand, Combined Heat and Power (CHP) is a great example of the DERs with potential of combining different energy infrastructures such as electricity and gas networks. In this paper, effects of VPPs on multiple carrier energy networks (gas and electricity) are taken into account. Simulation results demonstrate that how much energy consumptions and peak demands as well as energy costs are decreased by connection of the DERs to electric distribution network. Results demonstrate that 7% to 47% operation costs reduction as well as 16% to 76% peak reduction is as the result of establishing a VPP.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114762441","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 : 2014-06-10DOI: 10.1109/CTPP.2014.7040693
Amir Saberi, F. R. Salmasi, T. A. Najafabadi
In this paper, an H∞ method based controller is designed to achieve high performance in extreme wind speed profile and tolerate possible actuator faults. This controller uses generator and rotor speed measurements and blade pitch actuator as control input. Moreover, a sliding mode fault detection and isolation (FDI) system is applied to reconstruct and compensate wind turbine's sensor faults. The controller parameters is obtained by solving a bi-linear matrix inequality. Designed controller uses the FDI output to regulate the wind turbine power in faulty condition and above rated wind speed. Closed loop performance is assessed through implementation of FDI and proposed controller, on a 5-MW benchmark wind turbine simulator, emulating realistic operation condition.
{"title":"Sensor fault-tolerant control of wind turbine systems","authors":"Amir Saberi, F. R. Salmasi, T. A. Najafabadi","doi":"10.1109/CTPP.2014.7040693","DOIUrl":"https://doi.org/10.1109/CTPP.2014.7040693","url":null,"abstract":"In this paper, an H∞ method based controller is designed to achieve high performance in extreme wind speed profile and tolerate possible actuator faults. This controller uses generator and rotor speed measurements and blade pitch actuator as control input. Moreover, a sliding mode fault detection and isolation (FDI) system is applied to reconstruct and compensate wind turbine's sensor faults. The controller parameters is obtained by solving a bi-linear matrix inequality. Designed controller uses the FDI output to regulate the wind turbine power in faulty condition and above rated wind speed. Closed loop performance is assessed through implementation of FDI and proposed controller, on a 5-MW benchmark wind turbine simulator, emulating realistic operation condition.","PeriodicalId":226320,"journal":{"name":"2014 5th Conference on Thermal Power Plants (CTPP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125235997","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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