Pub Date : 2015-10-01DOI: 10.1109/ICESA.2015.7503359
Pranoti K. Khanke, Sangeeta D. Jain
This paper presents the comparative analysis between the speed control of electronically commuted Brushless DC motor (BLDC) using conventional controllers like Proportional Integrative (PI) controllers, Simple Fuzzy Logic Controller (FLC) and Hybrid Fuzzy - PI controller with the help of MATLAB / SIMULINK. The conventional PI controllers are the most useful controller in industries until now. But it gives the poor performance under various operating conditions and for non-linear mode as compared to FL controller. The simples FLC is easy to develop but it sometimes cannot use in motor application and also needs automatic tuning. It takes more time and memory space while running on real time application. So to overcome this problem, Hybrid Fuzzy - PI controller is proposed. In the proposed system Fuzzy controller is tuned with conventional PI controller by using only 21 Mamdani linguistic rules. The proposed system improve the performance of motor and other operating condition such as rise time, settling time, percentage of overshoot and stability phenomenon etc. The response of the system can be observed from the above controllers with the help of MATLAB / SIMULINK.
{"title":"Comparative analysis of speed control of BLDC motor using PI, simple FLC and Fuzzy - PI controller","authors":"Pranoti K. Khanke, Sangeeta D. Jain","doi":"10.1109/ICESA.2015.7503359","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503359","url":null,"abstract":"This paper presents the comparative analysis between the speed control of electronically commuted Brushless DC motor (BLDC) using conventional controllers like Proportional Integrative (PI) controllers, Simple Fuzzy Logic Controller (FLC) and Hybrid Fuzzy - PI controller with the help of MATLAB / SIMULINK. The conventional PI controllers are the most useful controller in industries until now. But it gives the poor performance under various operating conditions and for non-linear mode as compared to FL controller. The simples FLC is easy to develop but it sometimes cannot use in motor application and also needs automatic tuning. It takes more time and memory space while running on real time application. So to overcome this problem, Hybrid Fuzzy - PI controller is proposed. In the proposed system Fuzzy controller is tuned with conventional PI controller by using only 21 Mamdani linguistic rules. The proposed system improve the performance of motor and other operating condition such as rise time, settling time, percentage of overshoot and stability phenomenon etc. The response of the system can be observed from the above controllers with the help of MATLAB / SIMULINK.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124726886","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503323
S. Sran, L. Kaur, G. Kaur, S. Sidhu
A critical issue in wireless sensor networks is to extend the network lifetime by preserving the energy of sensor nodes. A sensor node consumes most of its energy during the data transfer phase. The energy consumed for transmission of data is a thousand times higher than sensing and processing the same amount of data. Data aggregation is a promising technique that is used for minimizing the amount of data transfer in a sensor network, which helps in reducing the energy consumption. The existing data aggregation protocols have focused on objectives like minimizing the energy consumption, maximizing the lifetime of the network and reducing the end to end delay. However, these techniques do not consider duty cycling approach to lower energy consumption. In this paper, we propose an Energy Aware Chain Oriented Sensor Network protocol (EA-COSEN). The proposed protocol is an extension of existing COSEN [1] protocol and it uses duty cycling to save the energy of the sensor nodes. Our simulation results confirm that there is 2% to 3% improvement in throughput, residual energy and delay.
{"title":"Energy Aware Chain based data aggregation scheme for wireless sensor network","authors":"S. Sran, L. Kaur, G. Kaur, S. Sidhu","doi":"10.1109/ICESA.2015.7503323","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503323","url":null,"abstract":"A critical issue in wireless sensor networks is to extend the network lifetime by preserving the energy of sensor nodes. A sensor node consumes most of its energy during the data transfer phase. The energy consumed for transmission of data is a thousand times higher than sensing and processing the same amount of data. Data aggregation is a promising technique that is used for minimizing the amount of data transfer in a sensor network, which helps in reducing the energy consumption. The existing data aggregation protocols have focused on objectives like minimizing the energy consumption, maximizing the lifetime of the network and reducing the end to end delay. However, these techniques do not consider duty cycling approach to lower energy consumption. In this paper, we propose an Energy Aware Chain Oriented Sensor Network protocol (EA-COSEN). The proposed protocol is an extension of existing COSEN [1] protocol and it uses duty cycling to save the energy of the sensor nodes. Our simulation results confirm that there is 2% to 3% improvement in throughput, residual energy and delay.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121363312","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503415
Shashank Vyas, R. Kumar, R. Kavasseri
The concept of distributed energy is becoming integral to the smart grid paradigm. Cleaner and renewable sources like solar energy, in the form of photo voltaic systems, are being integrated at the lowest level of the power grid - the distribution network. However rising penetration of such distributed sources may cause operational issues like unintentional islanding which remains a concern among utilities. This work tries to create and analyze situations which are expected to develop frequently in the high penetration scenario and explore their impacts on possibility of unintentional islanding. Dynamic simulations are run for a modified IEEE feeder and potential precursors to accidental islanding are identified. Load-photo voltaic interactions and gridside disturbances are the situations that cause unique anomalous behaviour in grid-side current. Experimental observations on laboratory hardware also showcase similar behaviour albeit on a simpler network containing a different load model. Simulations are run again to reproduce the experimental observations. Such approach intends to create a predictive framework for islanding detection in real time.
{"title":"Exploration and investigation of potential precursors to unintentional islanding in grid-interfaced solar photo voltaic systems","authors":"Shashank Vyas, R. Kumar, R. Kavasseri","doi":"10.1109/ICESA.2015.7503415","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503415","url":null,"abstract":"The concept of distributed energy is becoming integral to the smart grid paradigm. Cleaner and renewable sources like solar energy, in the form of photo voltaic systems, are being integrated at the lowest level of the power grid - the distribution network. However rising penetration of such distributed sources may cause operational issues like unintentional islanding which remains a concern among utilities. This work tries to create and analyze situations which are expected to develop frequently in the high penetration scenario and explore their impacts on possibility of unintentional islanding. Dynamic simulations are run for a modified IEEE feeder and potential precursors to accidental islanding are identified. Load-photo voltaic interactions and gridside disturbances are the situations that cause unique anomalous behaviour in grid-side current. Experimental observations on laboratory hardware also showcase similar behaviour albeit on a simpler network containing a different load model. Simulations are run again to reproduce the experimental observations. Such approach intends to create a predictive framework for islanding detection in real time.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124093640","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503409
Madhukesh Heggannavar, H. Kulkarni
Electromagnetic radiations are phenomena that take the form of self propagating waves in a vacuum or in matter. Microwaves are a part of the electro-magnetic (EM) radiation spectrum, with a frequency range of 300Mhz to 300Ghz.Microwave heating is applied in ceramics, Metallic powder, Food products, Wood, Polymers, Rubber, Textile & Paper. Various sources of microwaves include the Magnetron, Klystron, Travelling-wave tube (TWT) and gyrotron. These devices work in the density modulated mode rather than the current modulated mode. This means that they work on the basis of clumps of electrons flying through them, rather than using a continuous stream. The scope of this project work requires us to focus on such a device namely Magnetron. Microwave wave heating has advantages over the conventional heating due to which it is finding applications in industries for heating. The heart of every microwave oven is a high voltage system whose purpose is to generate “Microwaves”. This high voltage system is called as Magnetron power supply. The power supply designed for a 1.2 kW magnetron, with primary anode current control, performed according to the specifications proposed at the beginning of the development. The various parameters were monitored such as anode current and the output power. Also the required interlocks / protections were checked.
{"title":"Power supply design for Magnetron power source from single phase supply","authors":"Madhukesh Heggannavar, H. Kulkarni","doi":"10.1109/ICESA.2015.7503409","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503409","url":null,"abstract":"Electromagnetic radiations are phenomena that take the form of self propagating waves in a vacuum or in matter. Microwaves are a part of the electro-magnetic (EM) radiation spectrum, with a frequency range of 300Mhz to 300Ghz.Microwave heating is applied in ceramics, Metallic powder, Food products, Wood, Polymers, Rubber, Textile & Paper. Various sources of microwaves include the Magnetron, Klystron, Travelling-wave tube (TWT) and gyrotron. These devices work in the density modulated mode rather than the current modulated mode. This means that they work on the basis of clumps of electrons flying through them, rather than using a continuous stream. The scope of this project work requires us to focus on such a device namely Magnetron. Microwave wave heating has advantages over the conventional heating due to which it is finding applications in industries for heating. The heart of every microwave oven is a high voltage system whose purpose is to generate “Microwaves”. This high voltage system is called as Magnetron power supply. The power supply designed for a 1.2 kW magnetron, with primary anode current control, performed according to the specifications proposed at the beginning of the development. The various parameters were monitored such as anode current and the output power. Also the required interlocks / protections were checked.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123807576","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503368
N. Patel, J. Serrao
Probability distributions are used to represent uncertainty. One area of application of probability distribution is optimization under uncertainty more specifically known as Stochastic Integer Programming. Distributions with large number of scenarios increase computational complexity. Fast Forward Selection scenario (FFS) reduction algorithm provides a way to approximate the probability distribution. The paper applies FFS to a gaussian distribution and estimates the original distribution with lower number of scenarios while maintaining the overall variation of probability curve similar to the original curve. New probability density of the approximated distribution is close to the original distribution.
{"title":"Accuracy estimation of approximated Gaussian distribution obtained from Fast Forward Selection scenario reduction algorithm","authors":"N. Patel, J. Serrao","doi":"10.1109/ICESA.2015.7503368","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503368","url":null,"abstract":"Probability distributions are used to represent uncertainty. One area of application of probability distribution is optimization under uncertainty more specifically known as Stochastic Integer Programming. Distributions with large number of scenarios increase computational complexity. Fast Forward Selection scenario (FFS) reduction algorithm provides a way to approximate the probability distribution. The paper applies FFS to a gaussian distribution and estimates the original distribution with lower number of scenarios while maintaining the overall variation of probability curve similar to the original curve. New probability density of the approximated distribution is close to the original distribution.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130849595","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503392
Prashant K. Rajbhoj, B. Parvat, C. Kadu
This work suggests the method to improve the performance of interacting coupled tank system by the combinational control of feedback and feed forward simultaneously. This control system is considered to maintain the level of the second tank at some predefined value by using feed forward and feedback combinational scheme. Though conventional proportional integral- derivative (PID) controller is most capable controller used in process industries to regulate the process variables, it has some limitations which can be overcome by using this strategy. Here, the effect of disturbance on the performance of the system is considered. According to these disturbances, we implemented a feed forward controller to compensate the disturbances with its effect on the performance of the system. Thus, the comparison between feedback and feedback feed forward implementation for the system is done using MATLAB simulink and experimentation is carried out.
{"title":"Design of feedback-feedforward controller for level control in a coupled tank system","authors":"Prashant K. Rajbhoj, B. Parvat, C. Kadu","doi":"10.1109/ICESA.2015.7503392","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503392","url":null,"abstract":"This work suggests the method to improve the performance of interacting coupled tank system by the combinational control of feedback and feed forward simultaneously. This control system is considered to maintain the level of the second tank at some predefined value by using feed forward and feedback combinational scheme. Though conventional proportional integral- derivative (PID) controller is most capable controller used in process industries to regulate the process variables, it has some limitations which can be overcome by using this strategy. Here, the effect of disturbance on the performance of the system is considered. According to these disturbances, we implemented a feed forward controller to compensate the disturbances with its effect on the performance of the system. Thus, the comparison between feedback and feedback feed forward implementation for the system is done using MATLAB simulink and experimentation is carried out.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125515251","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503411
Rajashri Sanatkumar Dixit, S. Gandhe
Pedestrian protection system is one of the rapidly evolving system in advanced driver assistance systems (ADAS) to avoid accidents on road. By using Friendly ARM board S3C2440 along with Haar Cascade and Frontal Face detection algorithm we developed efficient and effective method in openCV platform.
{"title":"Pedestrian detection system for ADAS using Friendly ARM","authors":"Rajashri Sanatkumar Dixit, S. Gandhe","doi":"10.1109/ICESA.2015.7503411","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503411","url":null,"abstract":"Pedestrian protection system is one of the rapidly evolving system in advanced driver assistance systems (ADAS) to avoid accidents on road. By using Friendly ARM board S3C2440 along with Haar Cascade and Frontal Face detection algorithm we developed efficient and effective method in openCV platform.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129036791","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503318
Snehal Dilip Kasurde, S. Randive
The Proliferative Diabetic Retinopathy (PDR) is a stage of retinopathy where blood vessels proliferate i.e. grows. The indication of PDR is neovascularization, the growth of abnormal new vessels. Here, first vessel segmentation is done by converting image into binary image. So that vessel and non-vessel part is seperated. By using morphological operation and structuring element as line, straight vessels are detected and removed. So remaining part is new vessels. These morphological operations are taken for multiple orientations like 45°, 90°, 135°, 180°. Straight vessels were removed to distinguish new vessels from normal vasculature. Morphological thinning is used to thin only new vessels. Feature extraction is done by windowing image into 50 by 50 in order to calculate number of vessel pixels in every window. If numbers of vessel pixels are greater than threshold value then PDR is detected.
{"title":"An automatic detection of Proliferative Diabetic Retinopathy","authors":"Snehal Dilip Kasurde, S. Randive","doi":"10.1109/ICESA.2015.7503318","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503318","url":null,"abstract":"The Proliferative Diabetic Retinopathy (PDR) is a stage of retinopathy where blood vessels proliferate i.e. grows. The indication of PDR is neovascularization, the growth of abnormal new vessels. Here, first vessel segmentation is done by converting image into binary image. So that vessel and non-vessel part is seperated. By using morphological operation and structuring element as line, straight vessels are detected and removed. So remaining part is new vessels. These morphological operations are taken for multiple orientations like 45°, 90°, 135°, 180°. Straight vessels were removed to distinguish new vessels from normal vasculature. Morphological thinning is used to thin only new vessels. Feature extraction is done by windowing image into 50 by 50 in order to calculate number of vessel pixels in every window. If numbers of vessel pixels are greater than threshold value then PDR is detected.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"17 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129252418","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503328
Jaya Krishna Myalapalli
In the process of steel making, rolling mills play a vital role in transforming the steel to finished products. Rolling mills at a steel producing plant consists of Light and Medium Merchant Mill and Wire Rod Mill. The blooms from Steel Melt Shop are charged into reheating furnaces of Light and Medium Merchant Mill for heating them up to 1200°C and subsequent rolling is performed with required specifications. Reheating furnace at LMMM of 200 ton/hr. capacity is running with the by-product energies as fuel and yielding limited output up to 150 ton/hr. of steel for rolling. This reduction in the furnace output was to be examined by performing Heat Balance over the furnace. The furnace parameters were collected for about 10 days to prepare an average heat balance of the reheating furnace. Improvements were made to augment the overall thermal efficiency of the furnace and the data is furnished.
{"title":"Performance assessment of steel reheating furnace","authors":"Jaya Krishna Myalapalli","doi":"10.1109/ICESA.2015.7503328","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503328","url":null,"abstract":"In the process of steel making, rolling mills play a vital role in transforming the steel to finished products. Rolling mills at a steel producing plant consists of Light and Medium Merchant Mill and Wire Rod Mill. The blooms from Steel Melt Shop are charged into reheating furnaces of Light and Medium Merchant Mill for heating them up to 1200°C and subsequent rolling is performed with required specifications. Reheating furnace at LMMM of 200 ton/hr. capacity is running with the by-product energies as fuel and yielding limited output up to 150 ton/hr. of steel for rolling. This reduction in the furnace output was to be examined by performing Heat Balance over the furnace. The furnace parameters were collected for about 10 days to prepare an average heat balance of the reheating furnace. Improvements were made to augment the overall thermal efficiency of the furnace and the data is furnished.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"6 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113959939","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 : 2015-10-01DOI: 10.1109/ICESA.2015.7503310
Sadhan Gope, A. Goswami, P. Tiwari, S. Deb
In power system operation, congestion management has become more complicated with the increase of system complexity in deregulated environment. That is why, in present scenario of power system congestion management is a complex task of an independent system operator (ISO). In this paper, generator rescheduling is used as a congestion management technique. A recently developed meta heuristic algorithm known as Firefly Algorithm (FA) has been introduced in proposed work. The present work is two folded. Firstly, Generator sensitivity factor (GSF) is calculated to identify the generators participating in congestion management by rescheduling their output. Secondly, FA is introduced to find optimal rescheduling cost of participating generators. Present work is tested on IEEE 39 bus New England Test System.
{"title":"Generator rescheduling for congestion management using Firefly Algorithm","authors":"Sadhan Gope, A. Goswami, P. Tiwari, S. Deb","doi":"10.1109/ICESA.2015.7503310","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503310","url":null,"abstract":"In power system operation, congestion management has become more complicated with the increase of system complexity in deregulated environment. That is why, in present scenario of power system congestion management is a complex task of an independent system operator (ISO). In this paper, generator rescheduling is used as a congestion management technique. A recently developed meta heuristic algorithm known as Firefly Algorithm (FA) has been introduced in proposed work. The present work is two folded. Firstly, Generator sensitivity factor (GSF) is calculated to identify the generators participating in congestion management by rescheduling their output. Secondly, FA is introduced to find optimal rescheduling cost of participating generators. Present work is tested on IEEE 39 bus New England Test System.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122628130","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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