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.2011.6147171
S. Kirmani, M. Jamil, M. Rizwan
The appropriate location of distributed generation (DG) is very important for loss reduction in a radial distribution system. In this paper a methodology for determining the optimum size and location for installing the solar photovoltaic (SPV) based DG system for supplying the active power at the node in a radial distribution system for loss reduction is presented. The objective of this paper is to apply heuristic search strategies to determine the node for the appropriate placement of DG. In heuristic approach, a critical node, called sensitive node is selected based upon maximum power losses caused for installing DG system. This method ensures that voltage constraints are met. This heuristic approach is useful for large distribution system and can be useful for online implementation. Test results have been tested on IEEE-33 bus system and presented.
{"title":"Optimal placement of SPV based DG system for loss reduction in radial distribution network using heuristic search strategies","authors":"S. Kirmani, M. Jamil, M. Rizwan","doi":"10.1109/ICEAS.2011.6147171","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147171","url":null,"abstract":"The appropriate location of distributed generation (DG) is very important for loss reduction in a radial distribution system. In this paper a methodology for determining the optimum size and location for installing the solar photovoltaic (SPV) based DG system for supplying the active power at the node in a radial distribution system for loss reduction is presented. The objective of this paper is to apply heuristic search strategies to determine the node for the appropriate placement of DG. In heuristic approach, a critical node, called sensitive node is selected based upon maximum power losses caused for installing DG system. This method ensures that voltage constraints are met. This heuristic approach is useful for large distribution system and can be useful for online implementation. Test results have been tested on IEEE-33 bus system and presented.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"45 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":"133614506","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.2011.6147211
B. Khaki, A. Sharaf, S. H. Mousavi, N. Noroozi, A. Seifi
This paper proposes an adaptive variable-structure control scheme for a three-phase PWM converter under unbalanced conditions. The controller regulates the DC output of PWM converter in presence of unknown disturbance and uncertainty in model parameters of the converter. Using differential geometric tools, the system is transformed to a normal form. Then an adaptive control scheme is designed to regulate the output of the transformed system. The stability of the proposed controller is proved using the Lyapunov theory. Simulation results illustrate the effectiveness of the proposed method.
{"title":"Adaptive control of DC link voltage of PWM VSC rectifier under unbalanced voltage source and uncertain parameters","authors":"B. Khaki, A. Sharaf, S. H. Mousavi, N. Noroozi, A. Seifi","doi":"10.1109/ICEAS.2011.6147211","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147211","url":null,"abstract":"This paper proposes an adaptive variable-structure control scheme for a three-phase PWM converter under unbalanced conditions. The controller regulates the DC output of PWM converter in presence of unknown disturbance and uncertainty in model parameters of the converter. Using differential geometric tools, the system is transformed to a normal form. Then an adaptive control scheme is designed to regulate the output of the transformed system. The stability of the proposed controller is proved using the Lyapunov theory. Simulation results illustrate the effectiveness of the proposed method.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"39 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":"131678314","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.2011.6147125
A. Moharana, R. Varma
This paper presents a study of subsynchronous mode instability in Induction Generator (IG) based wind farm connected to a series compensated transmission line. The IEEE First SSR benchmark system is modified by replacing the synchronous generator with an aggregated wind farm. A small signal stability analysis is carried out to detect the instability analytically and then results are validated through a detailed electromagnetic transient simulation using PSCAD/EMTDC. Two types of studies are performed for the small signal analysis. First, a linearized state space model is developed for the eigenvalue calculation. Then, a simple equivalent circuit model is developed for the resonant speed analysis. From the equivalent circuit model, two resonant speeds - upper resonant speed (URS) and lower resonant speed (LRS), are obtained. If the post fault speed of the aggregated generator comes close or enters in the band within these two resonant speeds, the induction generator may become unstable. The performance of the aggregated wind farm model is validated with a distributed wind farm model. It is shown that the wind generator may experience SSR if the fault occurs at the terminals of the wind farm even at a realistic level of series compensation.
本文研究了与串联补偿输电线路连接的感应发电机(IG)风电场的次同步模式失稳问题。通过将同步发电机替换为聚合风电场，改进了IEEE First SSR基准系统。通过小信号稳定性分析，对系统的不稳定性进行了分析检测，并利用PSCAD/EMTDC进行了详细的电磁瞬变仿真，对结果进行了验证。对小信号分析进行了两种类型的研究。首先，建立了一个线性化的状态空间模型，用于特征值的计算。然后，建立了一个简单的等效电路模型来分析谐振速度。从等效电路模型出发，得到了两个谐振速度——上谐振速度(URS)和下谐振速度(LRS)。如果聚合发电机的后故障速度接近或进入这两个谐振速度范围内，则感应发电机可能会变得不稳定。用分布式风电场模型验证了聚合风电场模型的性能。结果表明，即使在实际的串联补偿水平下，如果故障发生在风电场的末端，风力发电机也可能发生SSR。
{"title":"Instability in induction generator based wind farms connected to series compensated transmission lines","authors":"A. Moharana, R. Varma","doi":"10.1109/ICEAS.2011.6147125","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147125","url":null,"abstract":"This paper presents a study of subsynchronous mode instability in Induction Generator (IG) based wind farm connected to a series compensated transmission line. The IEEE First SSR benchmark system is modified by replacing the synchronous generator with an aggregated wind farm. A small signal stability analysis is carried out to detect the instability analytically and then results are validated through a detailed electromagnetic transient simulation using PSCAD/EMTDC. Two types of studies are performed for the small signal analysis. First, a linearized state space model is developed for the eigenvalue calculation. Then, a simple equivalent circuit model is developed for the resonant speed analysis. From the equivalent circuit model, two resonant speeds - upper resonant speed (URS) and lower resonant speed (LRS), are obtained. If the post fault speed of the aggregated generator comes close or enters in the band within these two resonant speeds, the induction generator may become unstable. The performance of the aggregated wind farm model is validated with a distributed wind farm model. It is shown that the wind generator may experience SSR if the fault occurs at the terminals of the wind farm even at a realistic level of series compensation.","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":"133385469","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.2011.6147078
A. K. Mishra, M. Pathak, S. Das
This paper deals with the analysis, design and analog based hardware implementation of three different topologies of high frequency isolated AC-DC converters in discontinuous current mode (DCM) of operation for power factor correction and output voltage regulation. These switching converters are designed for low power rating and low output voltage, typically 20.25 W with 13.5 V in DCM operation. Modelling and simulation is carried out in a standard PSIM software environment. Laboratory prototypes of the proposed converters in DCM operation are developed and test results are presented to compare with the simulation results.
{"title":"Isolated converter topologies for power factor correction — A comparison","authors":"A. K. Mishra, M. Pathak, S. Das","doi":"10.1109/ICEAS.2011.6147078","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147078","url":null,"abstract":"This paper deals with the analysis, design and analog based hardware implementation of three different topologies of high frequency isolated AC-DC converters in discontinuous current mode (DCM) of operation for power factor correction and output voltage regulation. These switching converters are designed for low power rating and low output voltage, typically 20.25 W with 13.5 V in DCM operation. Modelling and simulation is carried out in a standard PSIM software environment. Laboratory prototypes of the proposed converters in DCM operation are developed and test results are presented to compare with the simulation results.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"24 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":"132718496","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}
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.2011.6147136
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.2011.6147154
S. Kamboj, R. Dahiya
Dynamic Thermal Line Rating (DTLR) is used to monitor and dynamically upgrade the existing power lines. The overhead conductor sag measurements using GPS has been used to evaluate DTLR in the present paper. GPS receiver BT359 has been used to measure overhead conductor sag of 440V power distribution line and DTLR has been determined at different air temperatures. The inherent error in raw altitude measurements obtained by GPS has been reduced using Least Square parameter estimation and wavelet analysis to obtain more accurate altitude measurements.
DTLR (Dynamic Thermal Line Rating)是一种对现有电力线路进行监测和动态升级的技术。本文利用GPS测量架空导线垂度来评价DTLR。利用GPS接收机BT359测量了440V配电线路架空导线垂度，确定了不同气温下的DTLR。利用最小二乘参数估计和小波分析方法对GPS原始高度测量结果的固有误差进行了减小，得到了更精确的高度测量结果。
{"title":"Evaluation of DTLR of power distribution line from sag measured using GPS","authors":"S. Kamboj, R. Dahiya","doi":"10.1109/ICEAS.2011.6147154","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147154","url":null,"abstract":"Dynamic Thermal Line Rating (DTLR) is used to monitor and dynamically upgrade the existing power lines. The overhead conductor sag measurements using GPS has been used to evaluate DTLR in the present paper. GPS receiver BT359 has been used to measure overhead conductor sag of 440V power distribution line and DTLR has been determined at different air temperatures. The inherent error in raw altitude measurements obtained by GPS has been reduced using Least Square parameter estimation and wavelet analysis to obtain more accurate altitude measurements.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"4 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":"114908059","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.2011.6147105
A. Paul
Continuous evolution in process and in equipment in arc welding improves compatibility in energy domain. It helps optimize resources such as energy, materials, labor etc, and yield desired productivity and improved quality engineering goals. Modern inverter technology provides multitude of benefits virtually to each entity associated with the process. Efficiency, settling time of output variables and compactness and light weight are major pre-requisites of arc welding equipment. They are all achieved if switching frequency of inverter is kept high. Generally, higher switching frequency is achieved through soft switching. This paper elaborates that input-material-sensitive hard-switched topology is functionally superior to soft-switched topologies and generate superior design for manufacturability issues. It achieves power density ideal for welding power range.
{"title":"Welding inverter for optimal arc characteristics is laterally more sensitive to input materials","authors":"A. Paul","doi":"10.1109/ICEAS.2011.6147105","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147105","url":null,"abstract":"Continuous evolution in process and in equipment in arc welding improves compatibility in energy domain. It helps optimize resources such as energy, materials, labor etc, and yield desired productivity and improved quality engineering goals. Modern inverter technology provides multitude of benefits virtually to each entity associated with the process. Efficiency, settling time of output variables and compactness and light weight are major pre-requisites of arc welding equipment. They are all achieved if switching frequency of inverter is kept high. Generally, higher switching frequency is achieved through soft switching. This paper elaborates that input-material-sensitive hard-switched topology is functionally superior to soft-switched topologies and generate superior design for manufacturability issues. It achieves power density ideal for welding power range.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"46 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":"121553322","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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