In this paper, the classical Least Square Estimator (LSE) and its improved version the Instrumental Variable (IV) estimator have been used for the identification of an ac servo motor position control system. The data for system identification has been collected from a practical test set-up for fixed command on the final angular position of the servo motor with varying level of velocity and acceleration. The measured data is corrupted then with externally induced random noise having a Gaussian distribution, commonly known as white Gaussian noise (wGn). Performance of the LSE and IV estimators are also compared for fractional Gaussian noise (fGn) which have heavy tails in its statistical distribution and are capable of modeling real world signals having spiky nature.
{"title":"Least square and Instrumental Variable system identification of ac servo position control system with fractional Gaussian noise","authors":"Saptarshi Das, Abhishek Kumar, Indranil Pan, Anish Acharya, S. Das, Amitava Gupta","doi":"10.1109/ICEAS.2011.6147165","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147165","url":null,"abstract":"In this paper, the classical Least Square Estimator (LSE) and its improved version the Instrumental Variable (IV) estimator have been used for the identification of an ac servo motor position control system. The data for system identification has been collected from a practical test set-up for fixed command on the final angular position of the servo motor with varying level of velocity and acceleration. The measured data is corrupted then with externally induced random noise having a Gaussian distribution, commonly known as white Gaussian noise (wGn). Performance of the LSE and IV estimators are also compared for fractional Gaussian noise (fGn) which have heavy tails in its statistical distribution and are capable of modeling real world signals having spiky nature.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"85 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":"114640157","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.2011.6147142
P. Rout, D. P. Acharya
The design of optimal analog and mixed signal (AMS) very large scale integrated circuits (VLSI) with lesser design cycle time is a challenging task for the integrated circuit (IC) designers. Voltage Controlled Oscillator (VCO) is a radio frequency integrated circuit (RFIC) having wide range of applications. This paper presents a new approach to design a ring oscillator (RO) with optimum performance with only one design cycle. The optimal figure of merit performance for a RO with a constraint of achieving a desired centre frequency is observed using a new technique which combines multi-objective optimization with differential evolution (CMODE). The RO is designed by considering the design parameters extracted from constrained CMODE in Cadence Virtuoso analog design environment (ADE) using gpdk090 library. The simulation results are compared with the CMODE predicted indices and are observed to be in good agreement with it. In this work RO circuits with 9 stages of inverters are considered to be designed for 2 GHz centre frequency with the limitations imposed by gpdk090 library. Results of exhaustive simulation and experimental studies for these ROs are presented here to verify the reduced design cycle time and superior performance offered by the proposed design methodology.
{"title":"Design of CMOS ring oscillator using CMODE","authors":"P. Rout, D. P. Acharya","doi":"10.1109/ICEAS.2011.6147142","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147142","url":null,"abstract":"The design of optimal analog and mixed signal (AMS) very large scale integrated circuits (VLSI) with lesser design cycle time is a challenging task for the integrated circuit (IC) designers. Voltage Controlled Oscillator (VCO) is a radio frequency integrated circuit (RFIC) having wide range of applications. This paper presents a new approach to design a ring oscillator (RO) with optimum performance with only one design cycle. The optimal figure of merit performance for a RO with a constraint of achieving a desired centre frequency is observed using a new technique which combines multi-objective optimization with differential evolution (CMODE). The RO is designed by considering the design parameters extracted from constrained CMODE in Cadence Virtuoso analog design environment (ADE) using gpdk090 library. The simulation results are compared with the CMODE predicted indices and are observed to be in good agreement with it. In this work RO circuits with 9 stages of inverters are considered to be designed for 2 GHz centre frequency with the limitations imposed by gpdk090 library. Results of exhaustive simulation and experimental studies for these ROs are presented here to verify the reduced design cycle time and superior performance offered by the proposed design methodology.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"17 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":"121702617","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.2011.6147186
N. Nayak, S. Routray, P. Rout
This paper presents a robust non linear sliding mode controller(SMC) for VSC-HVDC transmission link in parallel with an AC transmission line connecting a synchronous generator to infinite bus. A non linear sliding mode controller has been proposed to provide voltage support by means of reactive control at both ends; to damp power oscillations and improve transient stability by controlling either active or reactive power, and to control the power flow through the HVDC link. The proposed control scheme is tested under several system disturbances like changes in short-circuit ratio, faults on the converter and inverter buses. Based upon the time domain simulations in MATLAB/SIMULINK environment, the proposed controller is tested and its better performance is shown compare with the PI controllers whose gains are optimized with teaching learning optimization technique. The proposed controller improves voltage stability, damping of power oscillations and transient stability.
{"title":"A robust control strategies to improve transient stability in VSC-HVDC based interconnected power systems","authors":"N. Nayak, S. Routray, P. Rout","doi":"10.1109/ICEAS.2011.6147186","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147186","url":null,"abstract":"This paper presents a robust non linear sliding mode controller(SMC) for VSC-HVDC transmission link in parallel with an AC transmission line connecting a synchronous generator to infinite bus. A non linear sliding mode controller has been proposed to provide voltage support by means of reactive control at both ends; to damp power oscillations and improve transient stability by controlling either active or reactive power, and to control the power flow through the HVDC link. The proposed control scheme is tested under several system disturbances like changes in short-circuit ratio, faults on the converter and inverter buses. Based upon the time domain simulations in MATLAB/SIMULINK environment, the proposed controller is tested and its better performance is shown compare with the PI controllers whose gains are optimized with teaching learning optimization technique. The proposed controller improves voltage stability, damping of power oscillations and transient stability.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"7 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":"122534322","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.2011.6147216
S. Jena, B. Babu, G. Mishra, A. Naik
The consumption of reactive power is stochastic in nature for the distribution system. This uncertain variation of the reactive power leads to 1) Variation of voltage at the point of common coupling(PCC) 2)Low power factor 3)low efficiency 4) improper utilization of distribution system and 5) loss of synchronism for a grid connected inverter based — distributed generation. Now a day's distributed generation (DG) system uses current regulated PWM voltage-source inverters (VSI) for synchronizing the utility grid with DG source in order to ensure the grid stability. In this paper reactive power compensation based hysteresis controller and adaptive hysteresis controller is analyzed for inverter interfaced DG which can control the active and reactive power independently. The adaptive hysteresis controller can reduce the current harmonic at PCC considerably which ensures lower total harmonic distortion (THD). The performance indices include THD of the grid current, fast current tracking during steady state and transient conditions. The studied system is modeled and simulated in the MATLAB Simulink environment.
{"title":"Reactive power compensation in inverter-interfaced distributed generation","authors":"S. Jena, B. Babu, G. Mishra, A. Naik","doi":"10.1109/ICEAS.2011.6147216","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147216","url":null,"abstract":"The consumption of reactive power is stochastic in nature for the distribution system. This uncertain variation of the reactive power leads to 1) Variation of voltage at the point of common coupling(PCC) 2)Low power factor 3)low efficiency 4) improper utilization of distribution system and 5) loss of synchronism for a grid connected inverter based — distributed generation. Now a day's distributed generation (DG) system uses current regulated PWM voltage-source inverters (VSI) for synchronizing the utility grid with DG source in order to ensure the grid stability. In this paper reactive power compensation based hysteresis controller and adaptive hysteresis controller is analyzed for inverter interfaced DG which can control the active and reactive power independently. The adaptive hysteresis controller can reduce the current harmonic at PCC considerably which ensures lower total harmonic distortion (THD). The performance indices include THD of the grid current, fast current tracking during steady state and transient conditions. The studied system is modeled and simulated in the MATLAB Simulink environment.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"31 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":"122859786","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.2011.6147205
K. Vaisakh, T. Jyothsna, U. C. Patnaik
The main objective of this paper is to investigate the performance of multiple machines connected to a common bus terminal with that of an equalized generator typically, considered in a power system. A detailed analysis of small signal and transient stability has been carried out to study the effectiveness of the systems in the presence of a non-linear controller and a conventional PSS. The performance of the controllers has been evaluated by carrying out the simulation on a five-machine test system for small and large disturbances. Case study shows that intensity of oscillations has reduced much in the case of multiple machines equipped with the non-linear controllers.
{"title":"Design of nonlinear stabilizers for a power system with multiple machines connected to infinite bus","authors":"K. Vaisakh, T. Jyothsna, U. C. Patnaik","doi":"10.1109/ICEAS.2011.6147205","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147205","url":null,"abstract":"The main objective of this paper is to investigate the performance of multiple machines connected to a common bus terminal with that of an equalized generator typically, considered in a power system. A detailed analysis of small signal and transient stability has been carried out to study the effectiveness of the systems in the presence of a non-linear controller and a conventional PSS. The performance of the controllers has been evaluated by carrying out the simulation on a five-machine test system for small and large disturbances. Case study shows that intensity of oscillations has reduced much in the case of multiple machines equipped with the non-linear controllers.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"1 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":"129922201","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.2011.6147215
M. Bavafa
Smart grid is a relatively new term that refers to the application of information technology to power systems. Due to the complexity of such systems, the possibilities have yet to be clearly defined. Smart Grid will be a new way to the development of the power network. In the development of Smart Grid, how to integrate the Renewable Energy and the Distributed Generation (DG) safely and reliably is a problem urgent to be solved. Siting and sizing of DG planning in Smart Grid construction are researched in this paper. A multi-objective optimal model is established and normalized in the DG number, location and individual capacity of uncertainty. The improved Evolutionary programming is used to solve this optimization problem. Finally, the validity of the method proposed in the paper is proved by an example.
{"title":"A new method of Evolutionary programming in DG planning","authors":"M. Bavafa","doi":"10.1109/ICEAS.2011.6147215","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147215","url":null,"abstract":"Smart grid is a relatively new term that refers to the application of information technology to power systems. Due to the complexity of such systems, the possibilities have yet to be clearly defined. Smart Grid will be a new way to the development of the power network. In the development of Smart Grid, how to integrate the Renewable Energy and the Distributed Generation (DG) safely and reliably is a problem urgent to be solved. Siting and sizing of DG planning in Smart Grid construction are researched in this paper. A multi-objective optimal model is established and normalized in the DG number, location and individual capacity of uncertainty. The improved Evolutionary programming is used to solve this optimization problem. Finally, the validity of the method proposed in the paper is proved by an example.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"76 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":"122486963","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.2011.6147113
M. Nayak, K. R. Krishnanand, P. Rout
In this paper presents an algorithm for solving optimal power flow problem through the application of a modified differential evolution algorithm(MDE). The objective of an optimal Power Flow(OPF) is to find steady state operation point which minimizes total generating unit (thermal) fuel cost and total load bus voltage deviation from a specified point while maintaining an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, transformer taps, output of various compensating devices and power flow of transmission lines. Differential Evolution (DE) is one of evolutionary algorithms, which has been used in many optimization problems due to its simplicity and efficiency. The proposed MDE is in the framework of differential evolution owning new mutation operator and selection mechanism. To test the efficacy of the algorithm, it is applied to IEEE 30-bus power system with two different objective functions. The optimal power flow results obtained using MDE are compared with other evolutionary methods. The simulation results reveal that the MDE optimization technique provides better results compared to other methods recently published in the literature as demonstrated by simulation results.
{"title":"Modified differential evolution optimization algorithm for multi-constraint optimal power flow","authors":"M. Nayak, K. R. Krishnanand, P. Rout","doi":"10.1109/ICEAS.2011.6147113","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147113","url":null,"abstract":"In this paper presents an algorithm for solving optimal power flow problem through the application of a modified differential evolution algorithm(MDE). The objective of an optimal Power Flow(OPF) is to find steady state operation point which minimizes total generating unit (thermal) fuel cost and total load bus voltage deviation from a specified point while maintaining an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, transformer taps, output of various compensating devices and power flow of transmission lines. Differential Evolution (DE) is one of evolutionary algorithms, which has been used in many optimization problems due to its simplicity and efficiency. The proposed MDE is in the framework of differential evolution owning new mutation operator and selection mechanism. To test the efficacy of the algorithm, it is applied to IEEE 30-bus power system with two different objective functions. The optimal power flow results obtained using MDE are compared with other evolutionary methods. The simulation results reveal that the MDE optimization technique provides better results compared to other methods recently published in the literature as demonstrated by simulation results.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"159 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":"116497878","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.2011.6147136
T. Panigrahi, B. Mulgrew, B. Majhi
In a wireless sensor network each sensor node collects scalar measurements of some unknown parameters, corrupted by independent Gaussian noise. Then the objective is to estimate some parameters of interest from the data collected across the network. In this paper a simple iterative robust distributed linear parameter estimation algorithm is proposed where the diffusion co-operation scheme is incorporated. Each node updates its information by using the data collected by it and the information received from the neighbours. When any node fails to transmit correct information to the neighbours and/or the data collected by the node is noisy then the least mean square based diffusion estimation is not accurate. Hence a robust diffusion linear estimation algorithm is proposed here in order to improve the accuracy of the estimation in distributed wireless sensor network.
{"title":"Robust distributed linear parameter estimation in wireless sensor network","authors":"T. Panigrahi, B. Mulgrew, B. Majhi","doi":"10.1109/ICEAS.2011.6147136","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147136","url":null,"abstract":"In a wireless sensor network each sensor node collects scalar measurements of some unknown parameters, corrupted by independent Gaussian noise. Then the objective is to estimate some parameters of interest from the data collected across the network. In this paper a simple iterative robust distributed linear parameter estimation algorithm is proposed where the diffusion co-operation scheme is incorporated. Each node updates its information by using the data collected by it and the information received from the neighbours. When any node fails to transmit correct information to the neighbours and/or the data collected by the node is noisy then the least mean square based diffusion estimation is not accurate. Hence a robust diffusion linear estimation algorithm is proposed here in order to improve the accuracy of the estimation in distributed wireless sensor network.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"32 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":"116346949","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.2011.6147126
D. Mondal, A. Chakrabarti, A. Sengupta
This paper aims to select the optimal location and setting parameters of Static VAR Compensator (SVC) controller using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to mitigate small signal oscillations in a multimachine power system. Though Power System Stabilizers (PSSs) are prime choice in this issue, its performance gets affected by changes in network configurations, load variations etc. Hence installation of FACTS device, SVC has been suggested here in order to achieve appreciable damping of oscillations. However, performance of any FACTS devices highly depends upon its parameters and suitable location in the power network. In this paper PSO as well as GA based techniques are used to investigate this problem. An attempt has also been made to compare the performance of the PSO based SVC controller with its GA based design. The validity of the proposed techniques is simulated in a multimachine system following two common disturbances. It has been revealed that the PSO based SVC controller is more effective than GA based controller even during critical loading condition.
{"title":"PSO based location and parameter setting of advance SVC controller with comparison to GA in mitigating small signal oscillations","authors":"D. Mondal, A. Chakrabarti, A. Sengupta","doi":"10.1109/ICEAS.2011.6147126","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147126","url":null,"abstract":"This paper aims to select the optimal location and setting parameters of Static VAR Compensator (SVC) controller using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to mitigate small signal oscillations in a multimachine power system. Though Power System Stabilizers (PSSs) are prime choice in this issue, its performance gets affected by changes in network configurations, load variations etc. Hence installation of FACTS device, SVC has been suggested here in order to achieve appreciable damping of oscillations. However, performance of any FACTS devices highly depends upon its parameters and suitable location in the power network. In this paper PSO as well as GA based techniques are used to investigate this problem. An attempt has also been made to compare the performance of the PSO based SVC controller with its GA based design. The validity of the proposed techniques is simulated in a multimachine system following two common disturbances. It has been revealed that the PSO based SVC controller is more effective than GA based controller even during critical loading condition.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"33 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":"125472395","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.2011.6147079
P. Jena, A. Pradhan
Protection of double circuit line is more complex than the single circuit. Problems associated with directional relaying for double circuit line during close-in fault, cross country fault, load change and with high resistance fault are addressed in this paper. Conventional directional relaying algorithm uses fault voltage and current phasors to derive the decisions and thus, finds its limitation during close-in fault, load change and cross country fault. In this work a directional relaying scheme using fuzzy logic system is proposed for protection of the double circuit line. This paper proposes a solution for directional relaying of double circuit line combining four features. The technique is evaluated using data simulated with EMTDC/PSCAD for a double circuit line and the dynamic performance of the algorithm is also studied.
{"title":"Solution to directional relaying for double circuit line","authors":"P. Jena, A. Pradhan","doi":"10.1109/ICEAS.2011.6147079","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147079","url":null,"abstract":"Protection of double circuit line is more complex than the single circuit. Problems associated with directional relaying for double circuit line during close-in fault, cross country fault, load change and with high resistance fault are addressed in this paper. Conventional directional relaying algorithm uses fault voltage and current phasors to derive the decisions and thus, finds its limitation during close-in fault, load change and cross country fault. In this work a directional relaying scheme using fuzzy logic system is proposed for protection of the double circuit line. This paper proposes a solution for directional relaying of double circuit line combining four features. The technique is evaluated using data simulated with EMTDC/PSCAD for a double circuit line and the dynamic performance of the algorithm is also studied.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"30 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":"127910697","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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