Sourav Das, M. Gupta, Mayuree Shegaonkar, Parimal Acharjeel
{"title":"Performance Analysis of UPFC and SVC- TCSC Combination in Transmission Network","authors":"Sourav Das, M. Gupta, Mayuree Shegaonkar, Parimal Acharjeel","doi":"10.1109/EPETSG.2018.8658750","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658750","url":null,"abstract":"Voltage stability is the most challenging part of recent deregulated power transmission systems and Flexible AC transmission system (FACTS)devices support to sustain and advance voltage stability. But, choosing the suitable FACTS device and its optimal placement in the network is a matter of concern under practical constraints. In the context of the voltage profile (VP)improvement, active and reactive power losses reduction, cost of device, and Comparative environmental pollution Reduction Index (CEPRI), the combination of SVC and thyristor controlled series compensator (TCSC)and the unified power flow controller (UPFC)are compared to determine the most preferable FACTS device and its optimal placement in the system for optimum outcome. The standard IEEE 30-bus test system with haphazardly increased load is used for this purpose. A new online voltage stability index (NVSI), comparative Environmental Pollution Reduction Index (CEPRI)are the novel inclusion. The multiple objective functions (MOFs)are normalized and converted by proposed weighted combined objective function (COF)to define the apt device and its optimal location for placement of FACTS device. The results show that in presence of system's physical constraints, the combination of SVC and TCSC is the most suitable device.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"64 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131474081","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":"Smart AC and Micro DC Grid Based DSM Using Battery Storage and Wind Energy","authors":"N. Babu, L. Saikia, D. Saha","doi":"10.1109/EPETSG.2018.8658993","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658993","url":null,"abstract":"Inadequate energy generation leads to unscheduled shedding of loads. Demand side management (DSM) finds a solution for it by shifting the controllable loads from peak hours to off-peak hours by active participation of customers in response to time of day tariff. This article evaluates the existing DSM for residential, commercial and industrial architecture by considering smart AC grid system and, smart AC grid and solar operated DC micro grid with battery storage system. The existing DSM structure is modified by further integrating generation from wind energy. The optimal load shifting for both existing and modified DSM architecture is done by using evolutionary algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) and hybrid particle swarm optimization (HPSO) with an objective to minimize the peak load demand which in turn reduces peak-to-average-ratio (PAR), energy bills and reshapes the load profile. The modified DSM architecture outperforms the existing one in terms of peak load demand reduction. Performance comparison among GA, PSO and HPSO witness the superiority of HPSO in terms of minimizing the peak load, PAR, energy bills and, reshaping the load profile.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132978809","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}
Himadri Sekhar Bhattaeharyya, A. B. Choudhury, C. K. Chanda
{"title":"A Model Based Approach in Determining the Performance of EV Under Different Drive Cycles","authors":"Himadri Sekhar Bhattaeharyya, A. B. Choudhury, C. K. Chanda","doi":"10.1109/EPETSG.2018.8658956","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658956","url":null,"abstract":"This paper aims to provide an analysis of plug in electric vehicle's (PEVs) performance, based on variations of parameters. Mainly two types of batteries are used, such as Lithium-ion (Li-ion) and Lead-Acid (LA) battery. The batteries are properly modelled using their significant parameters and with the help of energy flow model, the flow of energy, i.e. energy from battery to car and from car to wheel has been studied here. Modelling of car, i.e. vehicle dynamics along with road dynamics is one of the most important block of the model. The flow of energy from car to road is dependent on conditions of road, i.e. drive cycle. Modelling of such a PEVs and forecasting its range, Depth of Discharge (DOD), battery characteristics for different drive cycles have been investigated. Depending upon the change of road grade angle, abrupt changes in performance of vehicle have been analyzed.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637473","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}
R. Krishnan, L. Hauchhum, Rajat Gupta, S. Pattanayak
{"title":"Prediction of Equations for Higher Heating Values of Biomass Using Proximate and Ultimate Analysis","authors":"R. Krishnan, L. Hauchhum, Rajat Gupta, S. Pattanayak","doi":"10.1109/EPETSG.2018.8658984","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658984","url":null,"abstract":"Biomass is the organic matter produced by photosynthesis which exists on the surface of the earth. They include all waste biomass such as municipal solid waste, municipal bio solids, animal wastes, forestry and agricultural wastes and some types of industrial wastes. Fossil fuels are the main energy resources of the earth. The only natural occurring substitute for fossil fuels is biomass. The main disadvantage of this energy is that it gives only low calorific value. So, calorific value is an important factor to evaluate the fuel quality of a special biomass material in energy applications. Using the values of proximate and ultimate analysis, many predicted equations are available in several literature to predict the higher heating value (HHV)of biomass. In this context, four different biomass species such as paddy straw, paddy husk, coconut husk and coconut shell have been characterized by proximate analysis and ultimate analysis. Further, thirty-one other varieties of biomass material characterization data have also been taken from existing literature for comparison and establishment of trend in variation of behavior. After that, various empirical equations which contain linear and nonlinear terms have taken into consideration for predicting the higher heating values (HHV)of full sample set from both analysis results. Finally validate the predicted HHV with actual HHV.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127662439","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":"The Effect of Lightning on Insulator Flashover Characteristics","authors":"B. Thangabalan, S. Das","doi":"10.1109/EPETSG.2018.8658699","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658699","url":null,"abstract":"Lightning transient has detrimental effect on electrical system. This paper discusses the effect of lightning on insulator flashover characteristics in railway traction mast. The dependence of footing resistance and soil ionization on flashover behavior is explored. The CI GRE model of lightning stroke is considered for analysis. The modeling and simulation is carried out using Electro-Magnetic Transient Program (EMTP) software. It is observed that footing resistance strongly affects the insulator flashover characteristics. With increase in footing resistance, insulator is most likely to flashover. Leader development model is used to understand leader propagation along insulator surface causing flashover. The non-linear behaviour of footing resistance due to soil ionisation is seen to increase the flashover time and occurs at the tail end of lightning stroke. Further, the effect of double exponential lightning stroke model is studied. It is observed that flashover occurs early with CIGRE model compared to double exponential model.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117285923","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":"Dynamic Economic and Emission Dispatch of Large Scale Renewable Integrated Microgrids for Varying Loads and Seasons","authors":"B. Dey, B. Bhattacharyya","doi":"10.1109/EPETSG.2018.8658437","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658437","url":null,"abstract":"Optimal sizing of distributed generation sources for a microgrid is very essential for proper functioning of the microgrid when minimization of the energy cost and pollutants emission are of prime concern. This paper deals with three different cases of cost and emission minimization each for two microgrid test systems consisting of fuel cell, micro-turbine, storage devices and renewable energy sources. A proposed symbiotic organism search algorithm is used as the optimization tool to minimize the microgrid operating cost and emission abiding by the various equality and inequality constraints and considering load uncertainties and market bids. A comparative study is then made to prove the efficiency of the proposed algorithm with various other techniques used in literature.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"378 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115999889","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 Analysis of Flicker Index and Modulation Depth on Few Existing Dimmable LED Drivers","authors":"Rupam Chaki, Vipul Anand, Subhra Ghosh, Mousam Ghosh","doi":"10.1109/EPETSG.2018.8658802","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658802","url":null,"abstract":"This paper presents a computed comparative analysis of the standard metrics of Flicker Index and Modulation Depth defined in IEEE Std. 1789–2015, which are used to quantify the variation of light intensity, between few existing dimmable LED driver's LED current output. The standard metrics are the indices of flicker which is associated with LED dimming functionality and basically depends on the LED driver topology. The IEEE Std. 1789–2015 recommends the standard metrics to be kept low to avoid health hazards associated with flicker thereby contributing to the faster adoption of LED technology in the market. Three existing LED driver topologies with dimming capability are investigated in this paper and from their corresponding LED current outputs the standard metrics are evaluated and compared for different dimming ratios.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128557803","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}
Aakriti Agrawal, Rohitkumar Arasanipalai, B. Sainath
{"title":"A Comparative Study of Noise Cancellation Using Least Mean Squares Adaptive Filter and Recurrent Neural Network Filter","authors":"Aakriti Agrawal, Rohitkumar Arasanipalai, B. Sainath","doi":"10.1109/EPETSG.2018.8658938","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658938","url":null,"abstract":"Algorithms in artificial neural networks (ANN) are evolving as better alternatives to conventional algorithms applied in various electrical engineering applications in general and signal processing applications in particular. Specifically, we focus on a special type of ANN called recurrent neural networks (RNN), which delivers superior performance on sequential data due to the presence of internal memory. In the present paper, we comparatively analyze the performance of RNN and least mean squares (LMS) adaptive filter on audio data for active noise cancellation. We use normalized mean squared error (NMSE) as performance measure for comparison. Furthermore, we also investigate the number of epochs for training and the time taken to give the desired output via numerical simulations. Our simulations show that RNN filter delivers better NMSE performance than conventional LMS filter.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128708045","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 IIR Filter Using Wallace Tree Multiplier","authors":"Karishma Malviya, Ashutosh Nandi","doi":"10.1109/EPETSG.2018.8659159","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8659159","url":null,"abstract":"A multiplier is the most complex and important block in the design of filter. In this paper, designing of IIR filter is carried out using Wallace tree multiplier which is compared with the other designing methods of IIR filter. MATLAB FDA toolbox is used to calculate the filter coefficients and Xilinx Spartan 3E XC3S500E is used for the realization of the design. Power calculation is carried by Vivado 2016.2. Based on the simulation results, IIR filter design using Wallace tree multiplier turns out to be more efficient in terms of the speed performance as compared to other IIR filter design methods.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127489821","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}
Omkar Singh, Arabinda Ghosh, S. Thakur, Arjun Kumar, S. Singh, Bhavesh Nandan, Rahul Dev, Sudhir Kumar Nirala, M. Anand, Paturi Satish Kumar, A. Ray
{"title":"Generalized Design of a Physically Referenced Feed-Forward and State Feedback Controller for Load Frequency Control","authors":"Omkar Singh, Arabinda Ghosh, S. Thakur, Arjun Kumar, S. Singh, Bhavesh Nandan, Rahul Dev, Sudhir Kumar Nirala, M. Anand, Paturi Satish Kumar, A. Ray","doi":"10.1109/EPETSG.2018.8658682","DOIUrl":"https://doi.org/10.1109/EPETSG.2018.8658682","url":null,"abstract":"In this paper, a generalized Physically referenced Feed-forward State Feedback Controller (PFSFC) for the Load Frequency Control (LFC) system is proposed considering a state feedback controller and a feed forward gain. We have presented a procedure to find a range of controller values for stable operation of the system while maintaining the desired frequency. These wide range of controller variations will give flexibility to the operator to choose a set of controller values according to the need of the load demand from the power system. The effectiveness of the proposed method is presented through a set of results considering standard models from the existing literature. A comparative study with a set of existing works is also presented to demonstrate the applicability and usefulness of the proposed method.","PeriodicalId":385912,"journal":{"name":"2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129927946","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}