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.2015.7503415
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.2015.7503411
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.2015.7503345
Patil S N, Prasad
Because of combustion of fossil fuels global warming caused by environmental problems, the raising prices of crude oils and natural gases. They promote continuous effort to improve energy system and its efficiency. There is a need to search for abundant and clean energy sources due to the depleted and increasing prices of oil. Solar energy acts as an alternative renewable energy source. Photovoltaic cells are used as renewable energy system. Photovoltaic (PV) cells can be used to generate dc voltages and given to DC-DC converter. DC-DC converter used is Buck boost type of converter. The converter output is given to battery to inverter and load. Buck boost converter gives constant output which will controlled by PWM controller and feedback control system. Feedback control system has compensation network with different types and parameters. Designing of converter gives constant output. A maximum power point tracking (MPPT) algorithm technique is needed to track the peak power to maximize the produced energy. The maximum power point in the power voltage graph is identified by an algorithm called as incremental conductance method. This algorithm will identify the suitable duty cycle ratio in which buck boost converter should operate to maximum point. The MPPT algorithm is vital in increasing the efficiency of the system. This output is given to battery though the H bridge inverter circuit. The ac output voltage is directly fed to low voltage grid though the PLL circuit. The control of PWM for converter, inverter, MPPT algorithm and PLL is controlled by using MICROCHIP dsPIC30F4011 DSP processor. The total experimentation is carried out and results of converter, inverter, grid control and MPPT characteristics are analyzed.
{"title":"Design and development of MPPT algorithm for high efficient DC-DC converter for solar energy system connected to grid","authors":"Patil S N, Prasad","doi":"10.1109/ICESA.2015.7503345","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503345","url":null,"abstract":"Because of combustion of fossil fuels global warming caused by environmental problems, the raising prices of crude oils and natural gases. They promote continuous effort to improve energy system and its efficiency. There is a need to search for abundant and clean energy sources due to the depleted and increasing prices of oil. Solar energy acts as an alternative renewable energy source. Photovoltaic cells are used as renewable energy system. Photovoltaic (PV) cells can be used to generate dc voltages and given to DC-DC converter. DC-DC converter used is Buck boost type of converter. The converter output is given to battery to inverter and load. Buck boost converter gives constant output which will controlled by PWM controller and feedback control system. Feedback control system has compensation network with different types and parameters. Designing of converter gives constant output. A maximum power point tracking (MPPT) algorithm technique is needed to track the peak power to maximize the produced energy. The maximum power point in the power voltage graph is identified by an algorithm called as incremental conductance method. This algorithm will identify the suitable duty cycle ratio in which buck boost converter should operate to maximum point. The MPPT algorithm is vital in increasing the efficiency of the system. This output is given to battery though the H bridge inverter circuit. The ac output voltage is directly fed to low voltage grid though the PLL circuit. The control of PWM for converter, inverter, MPPT algorithm and PLL is controlled by using MICROCHIP dsPIC30F4011 DSP processor. The total experimentation is carried out and results of converter, inverter, grid control and MPPT characteristics are analyzed.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"910 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":"132664799","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.2015.7503314
N. Deshmukh, R. D. Thombare, P. T. Jadhav, D. More
Renewable energy resources have astonishing capabilities to fulfill ever increasing future demands if utilized properly. Changing climatic conditions is a major inherent drawback associated with it and MPPT (Maximum Power Point Tracking) is one of the techniques used to overcome it (wind and solar). This paper has proposed a negative output super lift Luo converter which is integrated with multiple sources for reducing passive elements. The proposed MISO (Multiple Input Single Output) topology can be used for low or high power applications and can be extended to interface any number of sources having different characteristics. In case used for renewable sources' grid integration, it can extract maximum power from each source with its own MPPT controller. It also has a bidirectional battery storage port that improves reliability of the system. These systems are simulated in MATLAB software environment and results are obtained.
{"title":"MISO Luo DC-DC converter for renewable energy applications","authors":"N. Deshmukh, R. D. Thombare, P. T. Jadhav, D. More","doi":"10.1109/ICESA.2015.7503314","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503314","url":null,"abstract":"Renewable energy resources have astonishing capabilities to fulfill ever increasing future demands if utilized properly. Changing climatic conditions is a major inherent drawback associated with it and MPPT (Maximum Power Point Tracking) is one of the techniques used to overcome it (wind and solar). This paper has proposed a negative output super lift Luo converter which is integrated with multiple sources for reducing passive elements. The proposed MISO (Multiple Input Single Output) topology can be used for low or high power applications and can be extended to interface any number of sources having different characteristics. In case used for renewable sources' grid integration, it can extract maximum power from each source with its own MPPT controller. It also has a bidirectional battery storage port that improves reliability of the system. These systems are simulated in MATLAB software environment and results are obtained.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"254 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":"132387811","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.2015.7503438
Jaydeep Jalindar Patil, N. Bogiri
Information technology generated huge data on the internet. Initially this data is mainly in English language so majority of data mining research work is on the English text documents. As the internet usage increased, data in other languages like Marathi, Tamil, Telugu and Punjabi etc. increased on the internet. This paper presents the retrieval system for Marathi language documents based on the user profile. User profile considers the user's interests, user's browsing history. The system shows the Marathi documents to the end user based on the user profile. Automatic text categorization is useful in better management and retrieval of these text documents and also makes document retrieval as simple task. This paper discusses the automatic text categorization of Marathi documents and literature survey of the related work done in automatic text categorization of Marathi documents. Various learning techniques exist for the classification of text documents like Naïve Bayes, Support Vector Machine and Decision Trees etc. There are different clustering techniques used for text categorization like Label Induction Grouping Algorithm, Suffix Tree Clustering, and K- means etc. Literature survey shows that for non-English documents VSM [Vector Space Model] gives the better results than any other models. The system provides text categorization of Marathi documents by using the LINGO [Label Induction Grouping] algorithm. LINGO is based on the VSM [Vector Space Model]. The system uses the dataset which contains 200 documents of 20 different categories. The result represents that for Marathi text documents LINGO clustering algorithm is efficient.
信息技术在互联网上产生了巨大的数据。最初，这些数据主要是英文的，因此大多数数据挖掘研究工作都是在英文文本文档上进行的。随着互联网使用量的增加，其他语言的数据，如马拉地语、泰米尔语、泰卢固语和旁遮普语等在互联网上增加了。提出了一种基于用户配置文件的马拉地语文档检索系统。用户档案考虑用户的兴趣，用户的浏览历史。系统根据用户配置文件向最终用户显示马拉地语文档。自动文本分类有助于更好地管理和检索这些文本文档，并使文档检索成为一项简单的任务。本文讨论了马拉地语文献的自动文本分类，综述了马拉地语文献自动文本分类的相关工作。文本文档分类有多种学习技术，如Naïve贝叶斯、支持向量机和决策树等。有不同的聚类技术用于文本分类，如标签归纳分组算法、后缀树聚类和K- means等。文献调查表明，对于非英语文档，VSM [Vector Space Model]给出的结果比其他任何模型都要好。该系统使用LINGO[标签归纳分组]算法对马拉地语文档进行文本分类。LINGO基于VSM[向量空间模型]。系统使用包含20个不同类别的200个文档的数据集。结果表明，对于马拉地语文本文档，LINGO聚类算法是有效的。
{"title":"Automatic text categorization: Marathi documents","authors":"Jaydeep Jalindar Patil, N. Bogiri","doi":"10.1109/ICESA.2015.7503438","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503438","url":null,"abstract":"Information technology generated huge data on the internet. Initially this data is mainly in English language so majority of data mining research work is on the English text documents. As the internet usage increased, data in other languages like Marathi, Tamil, Telugu and Punjabi etc. increased on the internet. This paper presents the retrieval system for Marathi language documents based on the user profile. User profile considers the user's interests, user's browsing history. The system shows the Marathi documents to the end user based on the user profile. Automatic text categorization is useful in better management and retrieval of these text documents and also makes document retrieval as simple task. This paper discusses the automatic text categorization of Marathi documents and literature survey of the related work done in automatic text categorization of Marathi documents. Various learning techniques exist for the classification of text documents like Naïve Bayes, Support Vector Machine and Decision Trees etc. There are different clustering techniques used for text categorization like Label Induction Grouping Algorithm, Suffix Tree Clustering, and K- means etc. Literature survey shows that for non-English documents VSM [Vector Space Model] gives the better results than any other models. The system provides text categorization of Marathi documents by using the LINGO [Label Induction Grouping] algorithm. LINGO is based on the VSM [Vector Space Model]. The system uses the dataset which contains 200 documents of 20 different categories. The result represents that for Marathi text documents LINGO clustering algorithm is efficient.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"174 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132478664","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.2015.7503401
Amin Nazir Nagiwale, Manish R. Umale, Aditya Sinha
MapReduce framework is suitable for dataintensive applications for large scale processing, but these classes of applications like machine learning algorithms, graph algorithms, sentiment analysis algorithms, etc. have dealt with skewness, diversity of data to adapt changes in real time. For example, it is difficult to adapt to real time changes in training data/corpus for big data applications like Sentiment Analysis, Email spam detection, and log file analysis. To achieve this goal, we have proposed an algorithm that is based on concepts of functional programming and self-adjusting computations that supports effectively accepting changes for system ranging from making training set/ language corpus domain-specific, amortized analysis of algorithm to change in storage, network and architecture design for distributed systems. For experimental purposes, we have implemented Selfie, self -adjusting algorithm with Splay tree for Twitter Sentiment analysis, which makes system responsible for skewness in access pattern and diversity in trends. Proposed algorithm can be helpful for other iterative and interactive applications that faces machine learning challenges like feature generation and selection, over-fitting, explain and improve models to effectively deal with large dynamic data sets.
{"title":"Design of self-adjusting algorithm for data-intensive MapReduce applications","authors":"Amin Nazir Nagiwale, Manish R. Umale, Aditya Sinha","doi":"10.1109/ICESA.2015.7503401","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503401","url":null,"abstract":"MapReduce framework is suitable for dataintensive applications for large scale processing, but these classes of applications like machine learning algorithms, graph algorithms, sentiment analysis algorithms, etc. have dealt with skewness, diversity of data to adapt changes in real time. For example, it is difficult to adapt to real time changes in training data/corpus for big data applications like Sentiment Analysis, Email spam detection, and log file analysis. To achieve this goal, we have proposed an algorithm that is based on concepts of functional programming and self-adjusting computations that supports effectively accepting changes for system ranging from making training set/ language corpus domain-specific, amortized analysis of algorithm to change in storage, network and architecture design for distributed systems. For experimental purposes, we have implemented Selfie, self -adjusting algorithm with Splay tree for Twitter Sentiment analysis, which makes system responsible for skewness in access pattern and diversity in trends. Proposed algorithm can be helpful for other iterative and interactive applications that faces machine learning challenges like feature generation and selection, over-fitting, explain and improve models to effectively deal with large dynamic data sets.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"12 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":"131886313","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.2015.7503316
Pournima U. Deshpande, Smita A. Bhosale
Now a days, the number of Internet and wireless communications users has rapidly grown and that increases demand for security measures to protect user data transmitted over openchannels. Cryptographic algorithms are very essential for security of the systems worldwide. In December 2001, the National Institute of Standards and Technology (NIST) of the United States selected the Rijndael algorithm as the suitable Advanced Encryption Standard (AES) to replace the Data Encryption Standard (DES) algorithm. AES can be considered the most widely used modern symmetric key encryption standard. The AES algorithm is a block cipher that can encrypt and decrypt digital information. This paper explores task level parallelism with three concurrently working AES modules to achieve less area and high throughput. With the area optimization techniques, the system becomes area and time efficient as the throughput of 5.751Gbps is achieved with less area. The design is implemented in Zynq(xc7z020-2clg484) device and tested on Zedboard. As three different implementations of AES are explored, the design has three times higher throughput with less area than the other systems. To encrypt/decrypt a file using the AES algorithm, the file must undergo a set of complex computational steps. Therefore a software implementation of AES algorithm would be slow and consume large amount of time to complete. The immense increase of both stored and transferred data in the recent years had made this problem even more serious when the need to encrypt/decrypt such data arises.
{"title":"AES encryption engines of many core processor arrays on FPGA by using parallel, pipeline and sequential technique","authors":"Pournima U. Deshpande, Smita A. Bhosale","doi":"10.1109/ICESA.2015.7503316","DOIUrl":"https://doi.org/10.1109/ICESA.2015.7503316","url":null,"abstract":"Now a days, the number of Internet and wireless communications users has rapidly grown and that increases demand for security measures to protect user data transmitted over openchannels. Cryptographic algorithms are very essential for security of the systems worldwide. In December 2001, the National Institute of Standards and Technology (NIST) of the United States selected the Rijndael algorithm as the suitable Advanced Encryption Standard (AES) to replace the Data Encryption Standard (DES) algorithm. AES can be considered the most widely used modern symmetric key encryption standard. The AES algorithm is a block cipher that can encrypt and decrypt digital information. This paper explores task level parallelism with three concurrently working AES modules to achieve less area and high throughput. With the area optimization techniques, the system becomes area and time efficient as the throughput of 5.751Gbps is achieved with less area. The design is implemented in Zynq(xc7z020-2clg484) device and tested on Zedboard. As three different implementations of AES are explored, the design has three times higher throughput with less area than the other systems. To encrypt/decrypt a file using the AES algorithm, the file must undergo a set of complex computational steps. Therefore a software implementation of AES algorithm would be slow and consume large amount of time to complete. The immense increase of both stored and transferred data in the recent years had made this problem even more serious when the need to encrypt/decrypt such data arises.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"338 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":"133237266","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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