{"title":"Designing of multistage impulse voltage generator using ATP software","authors":"V. Rai, Kamlesh Pandey, Komal Wadhwa","doi":"10.1109/RDCAPE.2015.7281409","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281409","url":null,"abstract":"This paper presents a broad overview of impulse voltage generator; it consists of multi stage impulse voltage generator design and its simulation and different experimental analysis. This paper gives design of 90 KV, 1.2/50 μs impulse high voltage wave generation.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"131 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128728026","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":"Oppositional cuckoo optimization algorithm to solve DG allocation problem of radial distribution system","authors":"Santanu Roy, S. Sultana, P. Roy","doi":"10.1109/RDCAPE.2015.7281367","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281367","url":null,"abstract":"Optimal sizing and placement of distributed generator (DG) units in radial distribution system are becoming very attractive to researchers these days. In this paper, cuckoo optimization algorithm (COA) is applied in order to find the optimal location of DG to optimize the power loss in radial distribution system. Furthermore, an oppositional based learning (OBL) is introduced with COA for improving the convergence speed of COA. The proposed oppositional COA (OCOA) methodology is successfully applied to the 33 bus and 69 bus radial distribution systems in order to show the effectiveness and efficiency of this optimization. The simulation result of proposed methods are compared with the other population based optimization like genetic algorithm (GA), particle swarm optimization (PSO), GA/PSO, bacteria foraging optimization algorithm (BFOA) in order to show the usefulness of this proposed approach.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116809247","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}
P. Swami, M. Bhatia, S. Anand, B. K. Panigrahi, J. Santhosh
{"title":"SVM based automated EEG seizure detection using ‘Coiflets’ wavelet packets","authors":"P. Swami, M. Bhatia, S. Anand, B. K. Panigrahi, J. Santhosh","doi":"10.1109/RDCAPE.2015.7281402","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281402","url":null,"abstract":"Manual classification of ictal and non-ictal activities continues to be very perplexing even for any experienced neurophysiologist. Mostly due of the presence of considerable heterogeneity in the seizure patterns. Extensive research efforts have gone in solving this issue. But, the shortcomings and complexity of the deployed methods till date have been noteworthy to realize their practical applications. Present study showcased an expert system design for automated classification of ictal activities in electroencephalogram signals. The development used `coiflets' wavelet packets for decomposition of signals to extract energy, standard deviation and Shannon entropy as features. Followed by support vector machine classifier with feds of various feature sets combinations. In the presented scheme, standard deviation feature set proved to be the best input features. It showed mean classification accuracy = 99.46 %, sensitivity = 99.40 % and specificity = 99.48 % with computation time = 5.60e-04 s. These outcomes demonstrated an improvement over the existing expert systems and also shed light on using different features. Proposed scheme hold promises for deployment in clinics and also for improvement in existing expert system designs.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114805726","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":"Modeling and parameter extraction methods of PV modules — Review","authors":"Sai Pranith, T. Bhatti","doi":"10.1109/RDCAPE.2015.7281372","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281372","url":null,"abstract":"The main objective of this paper is to provide the researchers and developers with a review of the characteristics of PV modules and the different possible methods of extracting parameters for modeling a PV system. Modeling a Photovoltaic (PV) module is essential for both software and hardware implementations, for operating and testing the performance of PV system. PV characteristic curve is non linear and modeling it accurately needs determining the parameters associated with the panel accurately, which are not usually provided in manufacturer data sheets. To get the I-V Curve of a PV panel in single diode model, the characteristic parameters should be extracted from the manufacture's datasheets. This paper analyzes conventional methods and intelligent methods which are available for extraction of parameters for modeling PV modules, along with their respective advantages and limitations.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117015074","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":"Genetic algorithm based hydrothermal generation scheduling","authors":"Anuradha, S. Sinha","doi":"10.1109/RDCAPE.2015.7281419","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281419","url":null,"abstract":"In large electrical power generation systems the integrated operation of hydro and thermal power stations is considered to be more economical as compared to thermal power generation. Integrated operation results in optimum utilization of all energy sources in the most economical manner, to provide an uninterrupted supply to the consumers. Through a case study present paper aims at optimizing traditional thermal plants along small hydro power plants, for fuel cost efficiency. The overall system is optimized using Genetic Algorithm such that the cost of running the thermal power plant is gradually decreased by supplying the demand through other renewable energy sources same.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129574650","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":"Design of power system stabilizer using robust control techniques","authors":"N. Gupta, S. Narayan","doi":"10.1109/RDCAPE.2015.7281371","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281371","url":null,"abstract":"The power system is a dynamic system and it is constantly being subjected to disturbances. It is important that these disturbances do not drive the system to unstable conditions. Due to certain disturbances, electromechanical oscillations of small frequency set up. The kind of stability involved due to oscillations falls under small signal stability. The PSS has been found effective in damping such oscillations and ensure small signal stability of the power system. In this paper, the robust PSS have been designed to damp the rotor speed and rotor angle deviations with respect to time for SMIB power system. The PSS have been designed using H∞ based robust control techniques. Here, the main focus has been to minimize the H∞ norm of the linear fractional transfer function (LFT) which the transfer function matrix between the desired vector of commanded outputs to the vector of exogenous signals. The structure specified PSS in the form of PID has also been taken in the design based on H∞ norm minimization using GA and PSO. The linear matrix inequality (LMI) technique has also been used to solve the H∞ control problem to get PSS. Investigations have shown that PSS design using PSO and GA are superior to classical lead-lag and PID structures, and also to PSS designed using LMI technique.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127744733","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 evaluation of a three phase shunt active power filter for power quality improvement","authors":"Anha Farooq, A. H. Bhat","doi":"10.1109/RDCAPE.2015.7281398","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281398","url":null,"abstract":"This paper deals with the performance evaluation of a three-phase, Shunt Active Power Filter for Power Quality Improvement. Power Quality problems can be addressed using Shunt Active Power Filters. A simulation model based on mathematical model of a three-phase, Shunt Active Power Filter has been developed. The results show an inherent power quality improvement in terms of reduced Total Harmonic Distortion (THD) of source current. It also exhibits Power Factor Correction (PFC) properties to a large extent as the source current and source voltage are in phase.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133510441","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":"Optimal power flow with UPFC using self-adaptive differential evolutionary technique under security constraints","authors":"P. Acharjee","doi":"10.1109/RDCAPE.2015.7281391","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281391","url":null,"abstract":"The self-adaptive differential evolutionary (SADE) algorithm is developed for controlling and maintaining the power flow using Unified Power Flow Controller (UPFC) under practical security constraints (SCs). The two important tuning parameters of Differential Evolutionary Algorithm (DEA) are so developed that they become automatically adaptive throughout the whole iteration. The UPFC is modeled considering losses of the converters, transmission loss in UPFC and losses of the coupling transformers. The mathematical modeling of the cost function is developed considering practical SCs. The proposed algorithm and other evolutionary algorithms are applied on the IEEE standard and ill-conditioned test systems. With and without UPFC, the power flow and line losses are observed for the three sets of user-defined active and reactive power. Comparing other evolutionary techniques, best results are obtained for the proposed SADE algorithm. Using UPFC, power flow is enhanced and maintained at the specified set-value. Line losses are also reduced.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133976370","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":"Non-convex economic load dispatch using particle swarm optimization with elevated search and addressed operators","authors":"V. K. Jadoun, N. Gupta, A. Swarnkar, K. R. Niazi","doi":"10.1109/RDCAPE.2015.7281379","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281379","url":null,"abstract":"This paper presents a stochastic-based method to solve the non-convex economic load dispatch problem for minimizing fuel cost of thermal units. Several measures have been taken to improve the computational efficiency of the conventional Particle Swarm Optimization (PSO). The cognitive behavior of particle is split in two components to check the best and poor experience of particles. The control parameters of the PSO are tuned to their optimal values. The modulations in inertia weight are controlled in accordance to a new truncated sinusoidal function. A correction algorithm has been proposed to transform infeasible particles into feasible ones. The effectiveness of the proposed PSO is tested on different standard thermal generating systems. The application results seem to be promising when compared with other existing methods.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125233645","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":"Design of functional observer based controller for uncertain systems","authors":"N. Satyanarayana, Pankaj Rathi","doi":"10.1109/RDCAPE.2015.7281408","DOIUrl":"https://doi.org/10.1109/RDCAPE.2015.7281408","url":null,"abstract":"A completely new method of functional observer design based on multirate output sampling for time-invariant linear uncertain systems has been proposed. If certain conditions are satisfied, the proposed method will estimate required functional with less number of output samples than those of the previous work. Analysis are presented, if proposed functional observer is used to stabilize the plant by feedback the system. The proposed method is more practical and easy to implement as linear state feedback based controller is realized using output samples. Numerical example is considered to show the design procedure and its merits.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121810570","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}