Pub Date : 2011-12-01DOI: 10.1109/ICEAS.2011.6147144
Janak Kumar Sethi, D. Deb, M. Malakar
In this paper, a new technology is presented for nonlinear wind farm modeling. First, a nonlinear state space model for wind turbines in the wind farm is presented. The effects of the wind wake on a particular turbine due to interactions with other turbines in a wind farm is studied. These effects are evaluated in a specific wind farm configuration to determine the effective wind speed at each turbine in the wind farm. The effective wind farm model is formulated for such effective wind speed at each turbine in the wind farm.
{"title":"Modeling of a wind turbine farm in presence of wake interactions","authors":"Janak Kumar Sethi, D. Deb, M. Malakar","doi":"10.1109/ICEAS.2011.6147144","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147144","url":null,"abstract":"In this paper, a new technology is presented for nonlinear wind farm modeling. First, a nonlinear state space model for wind turbines in the wind farm is presented. The effects of the wind wake on a particular turbine due to interactions with other turbines in a wind farm is studied. These effects are evaluated in a specific wind farm configuration to determine the effective wind speed at each turbine in the wind farm. The effective wind farm model is formulated for such effective wind speed at each turbine in the wind farm.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121627996","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147092
N. Das, A. Routray, P. Dash
This paper proposes a Constrained Least Square approach to the problem of Blind Source Separation (BSS) in a non-stationary mixing environment. Initially the demixing matrix is identified for the nominal system using the standard Kullback-Liebler(KL) divergence minimization technique. The KL algorithm is computationally expensive requiring longer CPU time and a large collection of samples. Therefore for small or structured changes in the mixing system which may occur due to environmental conditions this algorithm may be slow and inappropriate in certain applications. In this paper we have proposed an algorithm based on Constrained Least Square that utilizes the initially estimated demixing structure from the KL algorithm to find the new structure for the changed system. It is computationally faster even for larger number of samples. The assumptions are that the changes are infrequent and the statistical properties of the sources do not change. The performance of the technique has been compared with existing methods.
{"title":"A constrained least squares algorithm for fast Blind Source Separation in a non-stationary mixing environment","authors":"N. Das, A. Routray, P. Dash","doi":"10.1109/ICEAS.2011.6147092","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147092","url":null,"abstract":"This paper proposes a Constrained Least Square approach to the problem of Blind Source Separation (BSS) in a non-stationary mixing environment. Initially the demixing matrix is identified for the nominal system using the standard Kullback-Liebler(KL) divergence minimization technique. The KL algorithm is computationally expensive requiring longer CPU time and a large collection of samples. Therefore for small or structured changes in the mixing system which may occur due to environmental conditions this algorithm may be slow and inappropriate in certain applications. In this paper we have proposed an algorithm based on Constrained Least Square that utilizes the initially estimated demixing structure from the KL algorithm to find the new structure for the changed system. It is computationally faster even for larger number of samples. The assumptions are that the changes are infrequent and the statistical properties of the sources do not change. The performance of the technique has been compared with existing methods.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121037240","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147167
R. S. Tarade, P. K. Katti
Predicting short term wind speed is essential in order to prevent systems in-action from the effects of strong winds. It also helps in using wind energy as an alternative source of energy, mainly for Electrical power generation. Wind speed prediction has applications in Military and civilian fields for air traffic control, rocket launch, ship navigation etc. The wind speed in near future depends on the values of other meteorological variables, such as atmospheric pressure, moisture content, humidity, rainfall etc. There are number of methods for prediction. Using different methods for wind speed prediction and comparing these results we can obtain accurate method of prediction. This paper reports ARIMA, Artificial Neural Network and polynomial curve fitting model for short term wind speed prediction.
{"title":"A comparative analysis for wind speed prediction","authors":"R. S. Tarade, P. K. Katti","doi":"10.1109/ICEAS.2011.6147167","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147167","url":null,"abstract":"Predicting short term wind speed is essential in order to prevent systems in-action from the effects of strong winds. It also helps in using wind energy as an alternative source of energy, mainly for Electrical power generation. Wind speed prediction has applications in Military and civilian fields for air traffic control, rocket launch, ship navigation etc. The wind speed in near future depends on the values of other meteorological variables, such as atmospheric pressure, moisture content, humidity, rainfall etc. There are number of methods for prediction. Using different methods for wind speed prediction and comparing these results we can obtain accurate method of prediction. This paper reports ARIMA, Artificial Neural Network and polynomial curve fitting model for short term wind speed prediction.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116604532","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147138
Amit Kumar Mishra, A. Chandra
Checking for the functional equivalence between two models of a design is a crucial step in a hierarchical transformation based design flow, in which a designer obtains low level implementation models by manual or automatic translation from higher level specification models. Some of the most difficulty tasks CAD users face are the evaluation, comparison and compatibility-issue for different formats of different EDA tools and algorithms. It is vital to understand how well a given verification tool does the required job and which of the many possible formats can be verified. Formal methods are playing a major role in the verification environment. This paper presents a verification technique for functional comparison of large circuits (combinational and sequential) using a combination of known approaches. The idea is based on the tight integration of structural satisfiability (SAT) solver, BDD sweeping, FSM traversal and random simulation; all four working on a shared graph representation of the circuit. This integral method enhances the performance of BDD verification based on the complexity of the circuit. Further, the random simulation algorithm works on the compressed circuit graph and thus runs more efficiently. The outlined approach is effective for both sequential and combinational circuits. Besides this verification, this tool supports multiple formats for verification, generated through the different stages of design flow. This avoids requirement of another tool for conversion of one format to the other for equivalence checking.
{"title":"EQU-IITG: A multi-format formal equivalence checker","authors":"Amit Kumar Mishra, A. Chandra","doi":"10.1109/ICEAS.2011.6147138","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147138","url":null,"abstract":"Checking for the functional equivalence between two models of a design is a crucial step in a hierarchical transformation based design flow, in which a designer obtains low level implementation models by manual or automatic translation from higher level specification models. Some of the most difficulty tasks CAD users face are the evaluation, comparison and compatibility-issue for different formats of different EDA tools and algorithms. It is vital to understand how well a given verification tool does the required job and which of the many possible formats can be verified. Formal methods are playing a major role in the verification environment. This paper presents a verification technique for functional comparison of large circuits (combinational and sequential) using a combination of known approaches. The idea is based on the tight integration of structural satisfiability (SAT) solver, BDD sweeping, FSM traversal and random simulation; all four working on a shared graph representation of the circuit. This integral method enhances the performance of BDD verification based on the complexity of the circuit. Further, the random simulation algorithm works on the compressed circuit graph and thus runs more efficiently. The outlined approach is effective for both sequential and combinational circuits. Besides this verification, this tool supports multiple formats for verification, generated through the different stages of design flow. This avoids requirement of another tool for conversion of one format to the other for equivalence checking.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"14 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113932211","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147118
U. Verma, S. Narasimhan, A. Gartia, P. Bende, A. Das, A. K. Gupta
Electrical power system comprising transmission, sub-transmission and distribution networks is one of the critical infrastructures for any country. Blackouts are events that put the electrical power system into a state of severe crisis in no time and the restoration of normalcy post the event is a challenging task. All efforts are made by power system operators worldwide to avoid a scenario that may invite blackout in any form. Never-the-less blackouts do occur in selected parts of the power grid of a state or a region or a country due to several unforeseen factors including natural calamities, inclement weather, technical failures and more. All efforts are made to restore the system post blackout in the minimum possible time. Black start exercise in an islanded real time sub-system, comprising loads and generating stations capable of self start, is a learning exercise to gain experience and accordingly ensure preparedness to deal with all forms of blackouts. Such exercises are beneficial for reducing the time during actual system restoration following a disturbance and also to address systemic deficiencies detected during the process. This paper discusses on the procedure adopted during the black start exercise carried out at Indira Sagar Hydro Power Station (ISP) located in Madhya Pradesh, India on 22nd May 2011 along with learning experience gained during the event. The exercise has been jointly carried out by engineers from the Western Regional Load Dispatch Centre (WRLDC) Mumbai, State Load Dispatch Centre (SLDC) Jabalpur and ISP.
{"title":"Black start in power system — A case study in Western Region, India","authors":"U. Verma, S. Narasimhan, A. Gartia, P. Bende, A. Das, A. K. Gupta","doi":"10.1109/ICEAS.2011.6147118","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147118","url":null,"abstract":"Electrical power system comprising transmission, sub-transmission and distribution networks is one of the critical infrastructures for any country. Blackouts are events that put the electrical power system into a state of severe crisis in no time and the restoration of normalcy post the event is a challenging task. All efforts are made by power system operators worldwide to avoid a scenario that may invite blackout in any form. Never-the-less blackouts do occur in selected parts of the power grid of a state or a region or a country due to several unforeseen factors including natural calamities, inclement weather, technical failures and more. All efforts are made to restore the system post blackout in the minimum possible time. Black start exercise in an islanded real time sub-system, comprising loads and generating stations capable of self start, is a learning exercise to gain experience and accordingly ensure preparedness to deal with all forms of blackouts. Such exercises are beneficial for reducing the time during actual system restoration following a disturbance and also to address systemic deficiencies detected during the process. This paper discusses on the procedure adopted during the black start exercise carried out at Indira Sagar Hydro Power Station (ISP) located in Madhya Pradesh, India on 22nd May 2011 along with learning experience gained during the event. The exercise has been jointly carried out by engineers from the Western Regional Load Dispatch Centre (WRLDC) Mumbai, State Load Dispatch Centre (SLDC) Jabalpur and ISP.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125151014","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147161
B. Mohan, S. Kar
Based on using shifted Legendre polynomials (SLPs) a new approach for computing optimal control law of linear time-invariant/time-varying, time-delay free/time-delay dynamic systems with quadratic performance index is discussed in this paper. The governing delay-differential equations of dynamic systems are converted into linear algebraic equations by using the operational matrices of differentiation, integration, delay and product of SLPs. Thus, the problem of finding optimal control law is reduced to the problem of solving algebraic equations obtained via the operational matrices. Numerical examples are included to demonstrate the applicability of the proposed approach.
{"title":"Optimal control of multi-delay systems via shifted Legendre polynomials","authors":"B. Mohan, S. Kar","doi":"10.1109/ICEAS.2011.6147161","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147161","url":null,"abstract":"Based on using shifted Legendre polynomials (SLPs) a new approach for computing optimal control law of linear time-invariant/time-varying, time-delay free/time-delay dynamic systems with quadratic performance index is discussed in this paper. The governing delay-differential equations of dynamic systems are converted into linear algebraic equations by using the operational matrices of differentiation, integration, delay and product of SLPs. Thus, the problem of finding optimal control law is reduced to the problem of solving algebraic equations obtained via the operational matrices. Numerical examples are included to demonstrate the applicability of the proposed approach.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125293444","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147070
Ajit Kumar Barisal, P. K. Hota
An integrated approach combining an evolutionary programming based fuzzy coordination and an artificial neural network methods along with a heuristic rule based search algorithm has been developed in this paper in order to obtain the best compromising optimal generation schedules for multiobjective generation dispatch problem with non-smooth characteristic functions satisfying various practical constraints. Initially, the economy objective function is minimized, followed by minimization of emission level objective function. Then, both the objectives are combined through a fuzzy coordination method to form a fuzzy decision making (FDM) function. Maximizing the FDM function then solves the original two-objective problem. The minimization and maximization tasks of this optimization problem are solved by the evolutionary programming technique and the results are trained by a radial basis function ANN to reach a preliminary generation schedule. Since, some practical constraints may be violated in the preliminary schedule, a heuristic rule based search algorithm is developed to reach a feasible best compromising generation schedule which satisfies all practical constraints in the final stage. The proposed EP based neuro-fuzzy technique has been applied to IEEE-30 bus test system and the results are presented.
{"title":"An evolutionary programming based neuro-fuzzy technique for multiobjective generation dispatch","authors":"Ajit Kumar Barisal, P. K. Hota","doi":"10.1109/ICEAS.2011.6147070","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147070","url":null,"abstract":"An integrated approach combining an evolutionary programming based fuzzy coordination and an artificial neural network methods along with a heuristic rule based search algorithm has been developed in this paper in order to obtain the best compromising optimal generation schedules for multiobjective generation dispatch problem with non-smooth characteristic functions satisfying various practical constraints. Initially, the economy objective function is minimized, followed by minimization of emission level objective function. Then, both the objectives are combined through a fuzzy coordination method to form a fuzzy decision making (FDM) function. Maximizing the FDM function then solves the original two-objective problem. The minimization and maximization tasks of this optimization problem are solved by the evolutionary programming technique and the results are trained by a radial basis function ANN to reach a preliminary generation schedule. Since, some practical constraints may be violated in the preliminary schedule, a heuristic rule based search algorithm is developed to reach a feasible best compromising generation schedule which satisfies all practical constraints in the final stage. The proposed EP based neuro-fuzzy technique has been applied to IEEE-30 bus test system and the results are presented.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"108 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131746978","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147090
J. K. Chatterjee, P. Chauhan
Present investigation deals with the comparison of performance of a Generalized Impedance Controller (GIC) based 3-phase self excited induction generator (SEIG) terminal voltage and frequency regulator, having single and two-loop control, in an isolated wind/microhydro type renewable energy conversion system (RECS). Where, GIC is a PWM voltage source converter with dc-bus battery, having controlled four-quadrant equivalent impedance. Amplitude and frequency regulation of SEIG terminal voltage under source and load perturbations, are accomplished by controlling modulation index m of the GIC and phase angle δ of fundamental component of GIC terminal voltage with respect to SEIG terminal voltage. These m and δ control are achieved by operating the GIC in closed loop with, (i) only voltage feedback, and (ii) voltage and frequency feedbacks. The PI-controllers in both the schemes are designed for non-fragile system operation with optimized transient response of both amplitude and frequency of SEIG terminal voltage. The integrated SEIG-GIC closed loop system with single and two-loop control schemes are modeled and simulated in MATLAB/Simulink to highlight the superior performance of single-loop control scheme in transient and steady states.
{"title":"Single-loop vs two-loop voltage and frequency control of isolated SEIG based RECS","authors":"J. K. Chatterjee, P. Chauhan","doi":"10.1109/ICEAS.2011.6147090","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147090","url":null,"abstract":"Present investigation deals with the comparison of performance of a Generalized Impedance Controller (GIC) based 3-phase self excited induction generator (SEIG) terminal voltage and frequency regulator, having single and two-loop control, in an isolated wind/microhydro type renewable energy conversion system (RECS). Where, GIC is a PWM voltage source converter with dc-bus battery, having controlled four-quadrant equivalent impedance. Amplitude and frequency regulation of SEIG terminal voltage under source and load perturbations, are accomplished by controlling modulation index m of the GIC and phase angle δ of fundamental component of GIC terminal voltage with respect to SEIG terminal voltage. These m and δ control are achieved by operating the GIC in closed loop with, (i) only voltage feedback, and (ii) voltage and frequency feedbacks. The PI-controllers in both the schemes are designed for non-fragile system operation with optimized transient response of both amplitude and frequency of SEIG terminal voltage. The integrated SEIG-GIC closed loop system with single and two-loop control schemes are modeled and simulated in MATLAB/Simulink to highlight the superior performance of single-loop control scheme in transient and steady states.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"31 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137495","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147140
N. George, G. Panda
A nonlinear active noise control (ANC) system based on a couple of low complexity nonlinear networks are developed in this paper. These are the evolutionary computing based feed forward nonlinear network (FFNN) and the evolutionary computing based feed forward recursive nonlinear network (FFRNN). The new method does not require the identification of the secondary path, which not only improves the stability of the ANC system but also reduces the computational complexity. The design of the proposed ANC systems is viewed as a single objective optimization problem in which the weights of the ANC system are updated using particle swarm optimization (PSO) based evolutionary algorithm.
{"title":"Development of low complexity evolutionary computing based nonlinear active noise control systems","authors":"N. George, G. Panda","doi":"10.1109/ICEAS.2011.6147140","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147140","url":null,"abstract":"A nonlinear active noise control (ANC) system based on a couple of low complexity nonlinear networks are developed in this paper. These are the evolutionary computing based feed forward nonlinear network (FFNN) and the evolutionary computing based feed forward recursive nonlinear network (FFRNN). The new method does not require the identification of the secondary path, which not only improves the stability of the ANC system but also reduces the computational complexity. The design of the proposed ANC systems is viewed as a single objective optimization problem in which the weights of the ANC system are updated using particle swarm optimization (PSO) based evolutionary algorithm.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131814146","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147200
G. Biswal, M. Dewal, R. Maheshwari
The paper presents a ‘Seven Stage Warm Redundant Structured’ (SeSWRS) hydrogen cooling system (HCS) for generators cooling in a typical thermal power station. The proposed system is equally reliable for steam and gas turbine based generating sections. System reliability of the proposed SeSWRS model is evaluated using MATLAB. The process control and instrumentation of the system is designed and simulated on Factory-Talk ViewSE, a supervisory control and data acquisition (SCADA) platform by Rockwell automation. The process model is designed as per specifications guided by IEEE C37.1-2007; IEEE 1413-2010, and ISA 100a.
{"title":"Process control and instrumentation of SeSWRS based hydrogen cooling system of thermal power stations: A 2×660 MW unit","authors":"G. Biswal, M. Dewal, R. Maheshwari","doi":"10.1109/ICEAS.2011.6147200","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147200","url":null,"abstract":"The paper presents a ‘Seven Stage Warm Redundant Structured’ (SeSWRS) hydrogen cooling system (HCS) for generators cooling in a typical thermal power station. The proposed system is equally reliable for steam and gas turbine based generating sections. System reliability of the proposed SeSWRS model is evaluated using MATLAB. The process control and instrumentation of the system is designed and simulated on Factory-Talk ViewSE, a supervisory control and data acquisition (SCADA) platform by Rockwell automation. The process model is designed as per specifications guided by IEEE C37.1-2007; IEEE 1413-2010, and ISA 100a.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"17 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134281599","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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