{"title":"Power flow analysis in the presence of Power Injection Model of IPFC","authors":"C. Suresh, S. Sivanagaraju, R. Meda, K. Srikumar","doi":"10.1109/ACES.2014.6807978","DOIUrl":"https://doi.org/10.1109/ACES.2014.6807978","url":null,"abstract":"The latest development of Convertible Static Compensators (CSC) drives the importance of the Flexible AC Transmission System controllers to higher levels because of their controllable nature and effective power flow management of multi-line systems. To realize the effect of CSC on a given power system Interline Power Flow Controller (IPFC) is considered and Power Injection Model (PIM) for the same device is proposed in this paper. The comfort in mathematical modeling and the incorporation procedure in Newton-Raphson load flow with PIM increase its importance. In this paper, proper location to install device using contingency analysis is discussed. Numerical results without and with IPFC for the variation of device control parameters is presented. The obtained results show the performance of the proposed IPFC model.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115674629","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}
{"title":"Small signal stability optimization technique of real time OPF model for modern power networks","authors":"Sandip Chanda, A. De","doi":"10.1109/ACES.2014.6807980","DOIUrl":"https://doi.org/10.1109/ACES.2014.6807980","url":null,"abstract":"A suitable optimization model for modern power networks has been proposed in this paper, to depict the possibility of optimum utilization of the available resources, for obtaining a stable operational zone of the grid, satisfying all the indispensible factors. The state space based model developed along with the proposed small signal stability constraint methodology maximizes load catering at minimum generation cost to restore power market equilibrium even in the most inadvertent states of the network. Modern power networks have been observed to operate in stressed conditions as the producers and consumers of power continuously bargain and alter their stand in power market. The perturbation of price of electricity is thus inevitable with a contingency, as the Independent System Operator endeavors to sustain the other operational constraints viz frequency, voltage profile within specified limit. This dynamics of price has to be reconciled in order to ensure the system operation without harmful bifurcation under these small signal disturbances. The restoration of the power market dynamic price equilibrium has been negotiated in this paper, by forming the sensitivity matrix to regulate the state variables for the standardization of the quality of solution in worst possible contingencies of the network. The model has been tested in IEEE 30 bus system and illustrious Particle Swarm Optimization has assisted the fusion of the proposed model and methodology.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125776432","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}
{"title":"Fractal image compression by using loss-less encoding on the parameters of affine transforms","authors":"U. Nandi, J. K. Mandal","doi":"10.1109/ACES.2014.6807984","DOIUrl":"https://doi.org/10.1109/ACES.2014.6807984","url":null,"abstract":"A way of improvement of compression ratio of fractal image compression is proposed in this paper. The improvement of compression rates is done by applying the lossless compression techniques on the parameters of the affine transformations of the fractal compressed images. The Modified Region Based Huffman and its variant are used for this purpose. The PSNR of images are remained same. The comparison of the compression ratio and time are done between fractal image compression with quardtree partitioning schemes, the same with Huffman coding and its proposed improved versions. The proposed improved fractal image compression techniques offer better compression rates most of the times keeping the PSNRs unchanged. But, the compression time of proposed techniques are significantly increased than its counterparts.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129331715","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}
Soumya Ranjan Mahapatro, B. Subudhi, Subhojit Ghosh
{"title":"An experimental evaluation of optimal control design for coupled tank system","authors":"Soumya Ranjan Mahapatro, B. Subudhi, Subhojit Ghosh","doi":"10.1109/ACES.2014.6807977","DOIUrl":"https://doi.org/10.1109/ACES.2014.6807977","url":null,"abstract":"This paper presents a Linear Quadratic Regulator (LQR) controller for the real-time control of a coupled tank liquid level system. The model of the coupled tank system has been developed based on system identification technique that employs least square error algorithm (LS) for parameter estimation. The proposed controller algorithm has been applied on the identified model. The performance of the projected control algorithm has been compared with that of a Conventional PI controller. From both the simulation as well as the experimental results, it is observed that the performance of the proposed LQR control is more efficient then the widely used conventional PI Controller.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887995","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}
{"title":"Planning and implementation strategy of Demand Side Management in India","authors":"V. Harish, Arun Kumar","doi":"10.1109/ACES.2014.6808001","DOIUrl":"https://doi.org/10.1109/ACES.2014.6808001","url":null,"abstract":"Demand Side Management is an integral constituent of operational planning for an electric utility. A particular DSM programme activity is designed to encourage customers of different sectors of power utilization to modify their electricity usage patterns, timing and level of electricity demand. Buildings, both commercial and residential, industries, municipal, appliances etc are some of the sectors targeted for implementing DSM. A very important part of any designed DSM programme is its planning and implementation strategy. This paper introduces the approach and concept for DSM in India. A comprehensive methodology for implementing a DSM programme in India has been outlined. Detailed step wise action plan formulated for planning and implementing of a DSM programme in India is presented.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772242","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}
{"title":"A heuristic algorithm for via minimization in VLSI channel routing","authors":"B. Das, Ashim Kumar Mahato, Ajoy Kumar Khan","doi":"10.1109/ACES.2014.6807986","DOIUrl":"https://doi.org/10.1109/ACES.2014.6807986","url":null,"abstract":"We know that via minimization is a very important problem in channel routing. The main aim of via minimization is to improve the circuit performance and productivity, to reduce the completion rate of routing and also to fabricate integrated circuit correctly. In this paper, we are using a heuristic algorithm for solving via minimization problem in VLSI channel routing with movable terminal. Here we concentrate on how fast we find out maximum independent set from the net intersection graph. That is why here we use heuristic technique to find the maximum independent set of a graph with polynomial time complexity. Next, we show how to use that maximum independent set to solve the via minimization problem using an example. Then, we show the experimental results and hardcopy solutions of some channel instances to prove the efficiency of this approach.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126367689","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}
{"title":"Performance analysis of some FACTS devices using Newton Raphson Load Flow algorithm","authors":"Biswajeet Kr Medhi, S. Bhuyan","doi":"10.1109/ACES.2014.6807982","DOIUrl":"https://doi.org/10.1109/ACES.2014.6807982","url":null,"abstract":"A comparative study and performance analysis is done for a number of FACTS devices in this paper. The models used are incorporated in an existing Newton Raphson Load Flow (NRLF) algorithm using standard IEEE 5 bus and 30 bus system. Problem of initialization for proper convergence of load flow is studied and findings are presented. Results are presented for comparison of performance analysis and evaluation of degree of suitability of selected FACTS devices.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130693978","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}
{"title":"Short-term hydrothermal scheduling using particle swarm optimization with constriction Factor and Inertia Weight Approach","authors":"Koustav Dasgupta, Sumit Banerjee","doi":"10.1109/ACES.2014.6808021","DOIUrl":"https://doi.org/10.1109/ACES.2014.6808021","url":null,"abstract":"The paper presents Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach which is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. The objective of the hydrothermal scheduling problem is to find out the discharge of hydro plants and power generation of thermal plants to minimize the total fuel cost at a schedule horizon while satisfying various constraints. In the present work, the effects of valve point loading in the fuel cost function of the thermal plants are also considered. The developed algorithm is illustrated for a test system consisting of four hydro plants and three thermal plants. It is found that proposed particle swarm optimization with constriction factor and inertia weight factor approach (PSOCFIWA) appears to be the powerful to minimize fuel cost.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117089955","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}
{"title":"A comparative study between Luenberger full order observer and full order observer designed by generalized matrix inverse method","authors":"Riju Samanta, G. Das","doi":"10.1109/ACES.2014.6808018","DOIUrl":"https://doi.org/10.1109/ACES.2014.6808018","url":null,"abstract":"In this paper a detailed comparative study has been carried out between traditional Luenberger full order observer and full order observer designed using generalized matrix inverse. In both the cases, observer dynamic equations have similar forms. Their structure wise and co-efficient wise comparisons are discussed in details. Performance wise comparison is done using an illustrative numerical example of two loop missile autopilot in open loop as well as closed loop.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114507155","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}
{"title":"A bilingual machine translation system: English & Bengali","authors":"Chandranath Adak","doi":"10.1109/ACES.2014.6808033","DOIUrl":"https://doi.org/10.1109/ACES.2014.6808033","url":null,"abstract":"Natural language is a fundamental thing of human-society to communicate and interact with one another. In this globalization era, we interact with different regional people as per our interest in social, cultural, economical, educational and professional domain. There are thousands of natural languages exist in our earth. It is quite tough, rather impossible to know all the languages. So we need a computerized approach to convert one natural language to another as per our necessity. This computerized conversion among multiple languages is known as multilingual machine translation. But in this paper we work with a bilingual model, where we concern with two languages: English and Bengali. We use soft computational approach where fuzzy If-Then rule is applied to choose a lemma from prior knowledge; Penn TreeBank PoS tags and HMM tagger are used as lexical class marker to each word in corpora.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123552799","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}