Pub Date : 2011-12-01DOI: 10.1109/ISET-INDIA.2011.6145383
D. M. Mary Synthia Regis, S. P. Kumar, G. Glan Devadhas
The most commonly used control algorithm in industry is the Proportional-Derivative-Integral (PID) control. The controller's performance is decided by the proper selection of the control parameters. In this paper, Bacterial Foraging Optimization Algorithm (BFOA) is applied for optimizing the controller's parameters of a dc-dc converter. The robustness of the BFOA tuned PID controlled DC-DC converter under load disturbances is studied. Finally, the controller's effectiveness is studied by comparing it with the conventional PID controlled DC-DC converter.
{"title":"An optimum setting of controller for a dc-dc converter using bacterial intelligence technique","authors":"D. M. Mary Synthia Regis, S. P. Kumar, G. Glan Devadhas","doi":"10.1109/ISET-INDIA.2011.6145383","DOIUrl":"https://doi.org/10.1109/ISET-INDIA.2011.6145383","url":null,"abstract":"The most commonly used control algorithm in industry is the Proportional-Derivative-Integral (PID) control. The controller's performance is decided by the proper selection of the control parameters. In this paper, Bacterial Foraging Optimization Algorithm (BFOA) is applied for optimizing the controller's parameters of a dc-dc converter. The robustness of the BFOA tuned PID controlled DC-DC converter under load disturbances is studied. Finally, the controller's effectiveness is studied by comparing it with the conventional PID controlled DC-DC converter.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"92 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":"132541955","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/ISET-INDIA.2011.6145389
Harikrishnan G Pisharody
This paper illustrates the method of optimal energy harvesting using piezoelectric transducers embedded in a mat structure. The energy generated when some load is applied on the mat containing piezoelectric transducers depend not only on the number of transducers, area of mat, thickness of the transducers but also on the scheme of arrangement. Here we have tested the successful electricity generation using piezoelectric transducer integrated mat and has tried to optimize the design arrangement for the same. The generated power is stored in a storage device. The result obtained portrays a physical setup for the energy harvest with an optimized structure implemented on a two dimensional base.
{"title":"An optimal design for piezoelectric energy harvesting system","authors":"Harikrishnan G Pisharody","doi":"10.1109/ISET-INDIA.2011.6145389","DOIUrl":"https://doi.org/10.1109/ISET-INDIA.2011.6145389","url":null,"abstract":"This paper illustrates the method of optimal energy harvesting using piezoelectric transducers embedded in a mat structure. The energy generated when some load is applied on the mat containing piezoelectric transducers depend not only on the number of transducers, area of mat, thickness of the transducers but also on the scheme of arrangement. Here we have tested the successful electricity generation using piezoelectric transducer integrated mat and has tried to optimize the design arrangement for the same. The generated power is stored in a storage device. The result obtained portrays a physical setup for the energy harvest with an optimized structure implemented on a two dimensional base.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"42 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":"133602049","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/ISET-INDIA.2011.6145385
M. Ramesh, G. Rao, J. Amarnath, S. Kamakshaiah, B. Jawaharlal
This paper presents the speed torque characteristics of BLDC motor on load in forward and reverse direction. The Hall sensors of the BLDC motor is bestowed as the input to the ARM controller. The PWMs are produced depending upon the input of the controller. In order to convert DC to three phase AC, three phase bridge inverter with MOSFET as switches is used. The generated PWMs are inputted to the gate of the MOSFETs in the inverter. The output of the inverter is the energization sequence of BLDC motor and only two phases energizes at once. Dynamometer is used for encumbering the motor. The results are acquired for variable load torque and Speed torque characteristics are observed.
{"title":"Speed torque characteristics of brushless DC motor in either direction on load using ARM controller","authors":"M. Ramesh, G. Rao, J. Amarnath, S. Kamakshaiah, B. Jawaharlal","doi":"10.1109/ISET-INDIA.2011.6145385","DOIUrl":"https://doi.org/10.1109/ISET-INDIA.2011.6145385","url":null,"abstract":"This paper presents the speed torque characteristics of BLDC motor on load in forward and reverse direction. The Hall sensors of the BLDC motor is bestowed as the input to the ARM controller. The PWMs are produced depending upon the input of the controller. In order to convert DC to three phase AC, three phase bridge inverter with MOSFET as switches is used. The generated PWMs are inputted to the gate of the MOSFETs in the inverter. The output of the inverter is the energization sequence of BLDC motor and only two phases energizes at once. Dynamometer is used for encumbering the motor. The results are acquired for variable load torque and Speed torque characteristics are observed.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"44 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":"132352598","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/ISET-INDIA.2011.6145408
Devika Jay, K. Swarup
Smart grid enables active participation by consumers in Demand Response. In order to match the power demand and power supply, Dynamic Demand Control (DDC) with AGC in Smart Grid Environment is used. A load frequency control using DDC, was modeled for a two area system in this study. The frequency deviation and tie line flow deviation was compared with the deviations obtained when generation control, using PI controller, alone was implemented for frequency control. The PI controller parameters in the new scheme are then optimized using Lyapunov technique. Thus DDC alone is required to maintain the system frequency, during small load variations. DDC will play a major role in the economic operation of GENCOs under a Smart Grid environment.
{"title":"Frequency restoration using Dynamic Demand Control under Smart Grid Environment","authors":"Devika Jay, K. Swarup","doi":"10.1109/ISET-INDIA.2011.6145408","DOIUrl":"https://doi.org/10.1109/ISET-INDIA.2011.6145408","url":null,"abstract":"Smart grid enables active participation by consumers in Demand Response. In order to match the power demand and power supply, Dynamic Demand Control (DDC) with AGC in Smart Grid Environment is used. A load frequency control using DDC, was modeled for a two area system in this study. The frequency deviation and tie line flow deviation was compared with the deviations obtained when generation control, using PI controller, alone was implemented for frequency control. The PI controller parameters in the new scheme are then optimized using Lyapunov technique. Thus DDC alone is required to maintain the system frequency, during small load variations. DDC will play a major role in the economic operation of GENCOs under a Smart Grid environment.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"15 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":"128333839","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/ISET-INDIA.2011.6145344
Sogol Babaeinejad Sarookolaee, S. H. Elyas, Asghar Akbari Foroud
This article tries to introduce a demand side bidding strategy in capacity market alongside a pay as bid capacity market where consumers compete with each other in order to purchase apart of their required capacity during peak periods. The method can be widely used in upcoming smart grids where smart counters are deterrent to prevent consumers to use electricity more than the predefined level. The new model is proposed due to two main disadvantages of existed Capacity Subscription (CS) model which are counted as Independent System Operator's (ISO) unlimited interference in the market and consumers' extremely limited authority in the market procedure. In this market consumers deliver their capacity bids contain of capacity price and optimum capacity level obtained from proposed bidding strategy to the ISO. Simultaneously, producers voice their available capacity levels in the time of peak period to the ISO. ISO clears the market considering the proposed capacity levels of the generation side and capacity bids of the demand side. Consumers which are accepted in the market buy the capacity according to their offered prices and each consumer is only allowed to use electricity up to its market admitted subscribed capacity level. Producers are paid with a global price which is determined considering consumers' offered capacity prices.
{"title":"A reformed capacity subscription market in restructured power systems","authors":"Sogol Babaeinejad Sarookolaee, S. H. Elyas, Asghar Akbari Foroud","doi":"10.1109/ISET-INDIA.2011.6145344","DOIUrl":"https://doi.org/10.1109/ISET-INDIA.2011.6145344","url":null,"abstract":"This article tries to introduce a demand side bidding strategy in capacity market alongside a pay as bid capacity market where consumers compete with each other in order to purchase apart of their required capacity during peak periods. The method can be widely used in upcoming smart grids where smart counters are deterrent to prevent consumers to use electricity more than the predefined level. The new model is proposed due to two main disadvantages of existed Capacity Subscription (CS) model which are counted as Independent System Operator's (ISO) unlimited interference in the market and consumers' extremely limited authority in the market procedure. In this market consumers deliver their capacity bids contain of capacity price and optimum capacity level obtained from proposed bidding strategy to the ISO. Simultaneously, producers voice their available capacity levels in the time of peak period to the ISO. ISO clears the market considering the proposed capacity levels of the generation side and capacity bids of the demand side. Consumers which are accepted in the market buy the capacity according to their offered prices and each consumer is only allowed to use electricity up to its market admitted subscribed capacity level. Producers are paid with a global price which is determined considering consumers' offered capacity prices.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"36 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":"114668127","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 : 2011-07-20DOI: 10.1109/PACC.2011.6047365
K. Venkatesan, D. A. Rajan
This paper presents a new approach to solve the multi-area unit commitment problem (MAUC) in deregulated environment using a simulated annealing method. The objective of this paper is to maximizing or minimize the operating cost among generating companies (GENCO'S) in multiple areas that are interconnected via tie-lines. Joint operation of generation resources can result in significant operational cost savings. The simulated annealing method is used to solve multi area unit commitment problem, allocated generation for each area and find the operating cost of generation for each hour. Power transfer between the areas through tie lines depends upon the operating cost of generation at each hour and tie line transfer limits. The tie line transfer limits were considered as a set of constraints during the optimization process to ensure system security and reliability. The overall algorithm can be implemented on an IBM-PC, which can process a fairly large system in a reasonable period of time. Experimental results shows the application of this method have the potential to solve multi area power generation scheduling in deregulated electricity market.
{"title":"A simulated annealing method for solving multi-area unit commitment problem in deregulated environment","authors":"K. Venkatesan, D. A. Rajan","doi":"10.1109/PACC.2011.6047365","DOIUrl":"https://doi.org/10.1109/PACC.2011.6047365","url":null,"abstract":"This paper presents a new approach to solve the multi-area unit commitment problem (MAUC) in deregulated environment using a simulated annealing method. The objective of this paper is to maximizing or minimize the operating cost among generating companies (GENCO'S) in multiple areas that are interconnected via tie-lines. Joint operation of generation resources can result in significant operational cost savings. The simulated annealing method is used to solve multi area unit commitment problem, allocated generation for each area and find the operating cost of generation for each hour. Power transfer between the areas through tie lines depends upon the operating cost of generation at each hour and tie line transfer limits. The tie line transfer limits were considered as a set of constraints during the optimization process to ensure system security and reliability. The overall algorithm can be implemented on an IBM-PC, which can process a fairly large system in a reasonable period of time. Experimental results shows the application of this method have the potential to solve multi area power generation scheduling in deregulated electricity market.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"27 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114117832","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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