Pub Date : 2013-06-13DOI: 10.1109/ICPEC.2013.6527715
S. Bangia, P. Sharma, Maneesha Garg
Artificial Intelligence techniques are the recent trends used for the enhancement of power quality. This paper deals with analysis and comparison of different artificial techniques for harmonic reduction in the source current. Artificial Intelligence may include Fuzzy logic and Artificial Neural Network. The purpose of the simulation is to enhance the power quality by using the concepts that cannot be expressed as "true" or "false" but rather as "partially true" called as Fuzzy logic and intelligent features of the neuron cell. Shunt Active Filter is one of the controller that can be used for suppress the source current harmonics and compensates the reactive power. Hysteresis current controller is used to control the switching of Voltage Source Inverter. The D-Q Frame theory is used to generate the reference compensating current. Simulations are carried out in MATLAB environment using power system toolbox.
{"title":"Comparison of artificial intelligence techniques for the enhancement of power quality","authors":"S. Bangia, P. Sharma, Maneesha Garg","doi":"10.1109/ICPEC.2013.6527715","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527715","url":null,"abstract":"Artificial Intelligence techniques are the recent trends used for the enhancement of power quality. This paper deals with analysis and comparison of different artificial techniques for harmonic reduction in the source current. Artificial Intelligence may include Fuzzy logic and Artificial Neural Network. The purpose of the simulation is to enhance the power quality by using the concepts that cannot be expressed as \"true\" or \"false\" but rather as \"partially true\" called as Fuzzy logic and intelligent features of the neuron cell. Shunt Active Filter is one of the controller that can be used for suppress the source current harmonics and compensates the reactive power. Hysteresis current controller is used to control the switching of Voltage Source Inverter. The D-Q Frame theory is used to generate the reference compensating current. Simulations are carried out in MATLAB environment using power system toolbox.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121141295","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527629
J. Prasad, K. Sekhar
Currently, most of the power systems operate under deregulation environment. This mode of operation leads the power systems in to unpredictable and sometimes unsecured states with the competition among market participants in addition to the uncertainties. The maintenance of acceptable range of bus voltage magnitudes and transmission congestion management are become essential preventive tasks to the system operator to drive the competitive electricity market schedule. Due to the lack of reactive power support and transmission system capacity, the networks could also subject to voltage instability. In order to improve the transmission system loadability even under line outage contingencies, this paper addressing the application of flexible ac transmission system (FACTS) devices. Based on the impact on critical loading margin (CLM), the contingencies have been ranked. The critical loading margin is determined using repeated power flow (RPF) method and possible improvement is achieved with various FACTS devices in the network. SVC, TCSC, TCPST and UPFC devices have been considered to install in the network.
{"title":"Optimal allocation of FACTS controllers for critical loading margin enhancement","authors":"J. Prasad, K. Sekhar","doi":"10.1109/ICPEC.2013.6527629","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527629","url":null,"abstract":"Currently, most of the power systems operate under deregulation environment. This mode of operation leads the power systems in to unpredictable and sometimes unsecured states with the competition among market participants in addition to the uncertainties. The maintenance of acceptable range of bus voltage magnitudes and transmission congestion management are become essential preventive tasks to the system operator to drive the competitive electricity market schedule. Due to the lack of reactive power support and transmission system capacity, the networks could also subject to voltage instability. In order to improve the transmission system loadability even under line outage contingencies, this paper addressing the application of flexible ac transmission system (FACTS) devices. Based on the impact on critical loading margin (CLM), the contingencies have been ranked. The critical loading margin is determined using repeated power flow (RPF) method and possible improvement is achieved with various FACTS devices in the network. SVC, TCSC, TCPST and UPFC devices have been considered to install in the network.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125118956","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527705
C. Madhusudhana, J. Kishore
The power subsystem is the most critical system in a spacecraft due to the dependency of nearly every other subsystem for power. The power system configuration depends on various factors such as amount of power required, type of orbit, duration of the mission, constraints on mass volume, and the impact of the system's hardware on the spacecraft design. Power system encompasses power generation, energy storage and power processing. The organization of control and management circuits to carry out these functionalities is termed as Power Control and Management (PCM). Selection of an appropriate PCM is must for achieving the desired mission goal. This makes its choice a most important one for spacecraft Engineers. Different methods are adopted for finding out a suitable PCM. However availability of indices facilitate the evaluation of electrical performance of PCM systems. Hence a set performance metrics which would serve as benchmark has been detailed here. In the end, a typical case has been enumerated to demonstrate the usefulness of these metrics.
{"title":"Performance metrics for evaluating spacecraft power control and management (PCM)","authors":"C. Madhusudhana, J. Kishore","doi":"10.1109/ICPEC.2013.6527705","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527705","url":null,"abstract":"The power subsystem is the most critical system in a spacecraft due to the dependency of nearly every other subsystem for power. The power system configuration depends on various factors such as amount of power required, type of orbit, duration of the mission, constraints on mass volume, and the impact of the system's hardware on the spacecraft design. Power system encompasses power generation, energy storage and power processing. The organization of control and management circuits to carry out these functionalities is termed as Power Control and Management (PCM). Selection of an appropriate PCM is must for achieving the desired mission goal. This makes its choice a most important one for spacecraft Engineers. Different methods are adopted for finding out a suitable PCM. However availability of indices facilitate the evaluation of electrical performance of PCM systems. Hence a set performance metrics which would serve as benchmark has been detailed here. In the end, a typical case has been enumerated to demonstrate the usefulness of these metrics.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950415","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527684
M. S. Syed, A. R. Syed, Y. S. Rao
Over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch including economic dispatch combining as combined economic dispatch and emission dispatch (CEED). Economic dispatch gives a solution to reduce the total fuel cost while Emission dispatch is to reduce the emission level with the required system constraints. In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm.
{"title":"A novel seeker optimization approach for solving combined economic and emission dispatch","authors":"M. S. Syed, A. R. Syed, Y. S. Rao","doi":"10.1109/ICPEC.2013.6527684","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527684","url":null,"abstract":"Over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch including economic dispatch combining as combined economic dispatch and emission dispatch (CEED). Economic dispatch gives a solution to reduce the total fuel cost while Emission dispatch is to reduce the emission level with the required system constraints. In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122707503","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527627
S. K. Sethy, J. Moharana
The STATCOM (STATic synchronous COMpensator) is a shunt connected voltage source converter using self-commutating device and can be effectively used for reactive power control. Its principle of operation is similar to that of a synchronous condenser. This paper describes the modeling of STATCOM along with the design of linear current and voltage controllers. The design of controllers for the converters can be realized in two ways. The first method is a non-linear realization, which results in simple control rules with faster dynamics. The second method is a linear method, which requires system modeling. The second approach is adopted and simulated waveforms are presented in the paper. The designed controllers with variation of DC link voltage have been applied to the STATCOM and suitable DC link voltage has been selected on basis of spike and over shoot of the responses. All responses are obtained through MATLAB SIMULINK tool box and presented here for clarity of the control strategy.
{"title":"Design, analysis and simulation of linear controller of a STATCOM for reactive power compensation on variation of DC link voltage","authors":"S. K. Sethy, J. Moharana","doi":"10.1109/ICPEC.2013.6527627","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527627","url":null,"abstract":"The STATCOM (STATic synchronous COMpensator) is a shunt connected voltage source converter using self-commutating device and can be effectively used for reactive power control. Its principle of operation is similar to that of a synchronous condenser. This paper describes the modeling of STATCOM along with the design of linear current and voltage controllers. The design of controllers for the converters can be realized in two ways. The first method is a non-linear realization, which results in simple control rules with faster dynamics. The second method is a linear method, which requires system modeling. The second approach is adopted and simulated waveforms are presented in the paper. The designed controllers with variation of DC link voltage have been applied to the STATCOM and suitable DC link voltage has been selected on basis of spike and over shoot of the responses. All responses are obtained through MATLAB SIMULINK tool box and presented here for clarity of the control strategy.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114041313","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527698
A. Kadam, D. Ray, S. Shimjith, P. Shendge, S. Phadke
In this paper, the design of sliding mode control strategy based on Time Delay Control (TDC) is presented. TDC is a control technique in which the time delayed signals of system variables are used to estimate and compensate the system uncertainties and external disturbances. This paper shows how TDC works when the plant have an external unmeasurable disturbance and with uncertain parameters. Finally, all the results are experimentally verified on the Quanser QET DCMCT kit.
{"title":"Time delay controller combined with sliding mode for DC motor position control: Experimental validation on Quanser QET","authors":"A. Kadam, D. Ray, S. Shimjith, P. Shendge, S. Phadke","doi":"10.1109/ICPEC.2013.6527698","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527698","url":null,"abstract":"In this paper, the design of sliding mode control strategy based on Time Delay Control (TDC) is presented. TDC is a control technique in which the time delayed signals of system variables are used to estimate and compensate the system uncertainties and external disturbances. This paper shows how TDC works when the plant have an external unmeasurable disturbance and with uncertain parameters. Finally, all the results are experimentally verified on the Quanser QET DCMCT kit.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114439701","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527634
S. Gupta, R. K. Tripathi
Flexible AC Transmission Systems (FACTS) devices have been used for the solving power quality problems in the transmission system. In FACTs devices, Static Synchronous Compensator (STATCOM) is a shunt FACTS device, which is able to provide the reactive power compensation to the transmission line. STATCOM is the many input and many output system (MIMO). In this paper, the CSC based STATCOM is controlled by pole placement and LQR methods. These methods are tested in MATLAB, and their results are obtained. The simulation results show an improvement in input-output response of CSC based STATCOM.
{"title":"An LQR and pole placement controller for CSC based STATCOM","authors":"S. Gupta, R. K. Tripathi","doi":"10.1109/ICPEC.2013.6527634","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527634","url":null,"abstract":"Flexible AC Transmission Systems (FACTS) devices have been used for the solving power quality problems in the transmission system. In FACTs devices, Static Synchronous Compensator (STATCOM) is a shunt FACTS device, which is able to provide the reactive power compensation to the transmission line. STATCOM is the many input and many output system (MIMO). In this paper, the CSC based STATCOM is controlled by pole placement and LQR methods. These methods are tested in MATLAB, and their results are obtained. The simulation results show an improvement in input-output response of CSC based STATCOM.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124642069","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527722
P. M. Menghal, A. Laxmi
With the improvement in the technology of Microprocessor and Power Electronics, Induction motor drives with digital control have become more popular. Artificial intelligent controller (AIC) could be the best candidate for Induction Motor control. Over the last two decades researchers have been working to apply AIC for induction motor drives. This is because that AIC possesses advantages as compared to the conventional PI, PID and their adaptive versions. The main advantages are that the designs of these controllers do not depend on accurate system mathematical model and their performances are robust. In recent years, scientists and researchers have acquired significant development on various sorts of control theories and methods. Among these control technologies, intelligent control methods, which are generally regarded as the aggregation of Fuzzy Logic Control, Neural Network Control, Genetic Algorithm, and Expert System, have exhibited particular superiorities. The artificial neural network controller introduced to the system for keeping the motor speed to be constant when the load varies. The speed control scheme of vector controlle d induction motor drive involves decoupling of the speed and ref speed into torque and flux producing components. The performance of artificial neural network based controller's is compared with that of the conventional proportional integral controller. The dynamic modeling of Induction motor is done and the performance of the Induction motor drive has been analyzed for constant and variable loads. By using neuro controller the transient response of induction machine has been improved greatly and the dynamic response of the same has been made faster.
{"title":"Neural network based dynamic simulation of induction motor drive","authors":"P. M. Menghal, A. Laxmi","doi":"10.1109/ICPEC.2013.6527722","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527722","url":null,"abstract":"With the improvement in the technology of Microprocessor and Power Electronics, Induction motor drives with digital control have become more popular. Artificial intelligent controller (AIC) could be the best candidate for Induction Motor control. Over the last two decades researchers have been working to apply AIC for induction motor drives. This is because that AIC possesses advantages as compared to the conventional PI, PID and their adaptive versions. The main advantages are that the designs of these controllers do not depend on accurate system mathematical model and their performances are robust. In recent years, scientists and researchers have acquired significant development on various sorts of control theories and methods. Among these control technologies, intelligent control methods, which are generally regarded as the aggregation of Fuzzy Logic Control, Neural Network Control, Genetic Algorithm, and Expert System, have exhibited particular superiorities. The artificial neural network controller introduced to the system for keeping the motor speed to be constant when the load varies. The speed control scheme of vector controlle d induction motor drive involves decoupling of the speed and ref speed into torque and flux producing components. The performance of artificial neural network based controller's is compared with that of the conventional proportional integral controller. The dynamic modeling of Induction motor is done and the performance of the Induction motor drive has been analyzed for constant and variable loads. By using neuro controller the transient response of induction machine has been improved greatly and the dynamic response of the same has been made faster.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127832760","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527671
M. Sowmiya, G. Renukadevi, K. Rajambal
This paper presents an indirect field oriented control (IFOC) of five-phase induction motor drive fed by a five-phase inverter using mat lab/simulink. IFOC is an established control method for high dynamic performance AC drives and the control is simple and highly reliable. Three phase induction motors have many well recognized advantages however their applications are limited to lower end of the high power range due to limitations on rating of power semiconductor devices. A strong contender in achieving high power is multiphase inverter fed induction motor drive. Multiphase motors have various advantages such as lower torque pulsation, reduced current per phase without increasing the voltage per phase, reduction in harmonic current, greater reliability, fault tolerance and minimal de-rating at occurrence of fault. A dq-axis model of five phase induction motor fed by a five leg inverter is developed and an IFOC controller presented. Simulation results are included to illustrate the performance of the five phase induction motor with IFOC.
{"title":"IFOC of five-phase induction motor drive","authors":"M. Sowmiya, G. Renukadevi, K. Rajambal","doi":"10.1109/ICPEC.2013.6527671","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527671","url":null,"abstract":"This paper presents an indirect field oriented control (IFOC) of five-phase induction motor drive fed by a five-phase inverter using mat lab/simulink. IFOC is an established control method for high dynamic performance AC drives and the control is simple and highly reliable. Three phase induction motors have many well recognized advantages however their applications are limited to lower end of the high power range due to limitations on rating of power semiconductor devices. A strong contender in achieving high power is multiphase inverter fed induction motor drive. Multiphase motors have various advantages such as lower torque pulsation, reduced current per phase without increasing the voltage per phase, reduction in harmonic current, greater reliability, fault tolerance and minimal de-rating at occurrence of fault. A dq-axis model of five phase induction motor fed by a five leg inverter is developed and an IFOC controller presented. Simulation results are included to illustrate the performance of the five phase induction motor with IFOC.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115862905","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527756
S. Semwal, Deepak Joshi, R. S. Prasad, D. Raveendhra
The identification of appliances has its unique application in detecting fraudulent electricity consumption; this is an important feature for smart meter. The current signature of signal individual and composite appliances has a possible feature set to separate an individual load from the current signature of composite load. We exploited the source signal separation feature of Independent Component Analysis (ICA) to observe the feasibility of ICA in separating an individual load profile from its composite current waveform. The results suggest that, for most of the electrical loads(used for experiment) ICA has been successful to extract the individual waveform from its composite load current signature with more than cross correlation value of 0.75, between the experimental current signature and ICA extracted current signature. The research work proposes a direction to use ICA as an intermediate step to develop a device identification classifier.
{"title":"The practicability of ICA in home appliances load profile separation using current signature: A preliminary study","authors":"S. Semwal, Deepak Joshi, R. S. Prasad, D. Raveendhra","doi":"10.1109/ICPEC.2013.6527756","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527756","url":null,"abstract":"The identification of appliances has its unique application in detecting fraudulent electricity consumption; this is an important feature for smart meter. The current signature of signal individual and composite appliances has a possible feature set to separate an individual load from the current signature of composite load. We exploited the source signal separation feature of Independent Component Analysis (ICA) to observe the feasibility of ICA in separating an individual load profile from its composite current waveform. The results suggest that, for most of the electrical loads(used for experiment) ICA has been successful to extract the individual waveform from its composite load current signature with more than cross correlation value of 0.75, between the experimental current signature and ICA extracted current signature. The research work proposes a direction to use ICA as an intermediate step to develop a device identification classifier.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132028346","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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