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A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources

IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1438-1451页

作者： Aurobindo Behera Tapas Kumar Panigrahi PrakashK·Ray Arun Kumar sahoo Department of Electrical and Electronics Engineering International Institute of Information Technology BhubaneswarBhubaneswar 751003India Department of Electrical Engineering Parala Maharaja Engineering CollegeBiju Patnaik University of TechnologyRourkela 769015India Department of Electrical Engineering College of Engineering and TechnologyBiju Patnaik University of TechnologyRourkela 769015India

Present day power scenarios demand a high quality uninterrupted power supply and needs environmental issues to be addressed. Both concerns can be dealt with by the introduction of the renewable sources to the existing power system. Thus, automatic generation control(AGC) with diverse renewable sources and a modified-cascaded controller are presented in the ***, a new hybrid scheme of the improved teaching learning based optimization-differential evolution(hITLBO-DE) algorithm is applied for providing optimization of controller parameters. A study of the system with a technique such as TLBO applied to a proportional integral derivative(PID), integral double derivative(IDD) and PIDD is compared to hITLBO-DE tuned cascaded controller with dynamic load *** suggested methodology has been extensively applied to a 2-area system with a diverse source power system with various operation time non-linearities such as dead-band of, generation rate constraint and reheat thermal units. The multi-area system with reheat thermal plants, hydel plants and a unit of a wind-diesel combination is tested with the cascaded controller scheme with a different controller setting for each area. The variation of the load is taken within 1% to 5% of the connected load and robustness analysis is shown by modifying essential factors simultaneously by± 30%. Finally, the proposed scheme of controller and optimization technique is also tested with a 5-equal area thermal system with non-linearities. The simulation results demonstrate the superiority of the proposed controller and algorithm under a dynamically changing load.

关键词： Automatic generation control(AGC) cascaded controller hybrid improved teaching learning based optimization-differential evolution(hITLBO-DE) algorithm integral of square time multiplied by square error(ISTSE)

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Cosmic acceleration with bulk viscosity in an anisotropic f(R, Lm) background

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Communications in Theoretical Physics 2023年第7期75卷 103-112页

作者： Raja Solanki Bina Patel Lakhan V Jaybhaye P K sahoo Department of Mathematics Birla Institute of Technology and Science-PilaniHyderabad CampusHyderabad-500078India Department of Mathematical Sciences P.D.Patel Institute of Applied SciencesCharotar University of Science and Technology(CHARUSAT)ChangaAnand 388421GujaratIndia

In this article,we investigate the observed cosmic acceleration in the framework of a cosmological f(R,Lm)model dominated by bulk viscous matter in an anisotropic *** consider the locally rotationally symmetric Bianchi type I metric and derive the Friedmann equations that drive the gravitational interactions in f((R,Lm)***,we assume the functional form f(R,Lm)=R/2+Lαm,where a is a free model parameter,and then find the exact solutions of field equations corresponding to our viscous matter dominated *** incorporate the updated H(z)data and the Pantheon data to acquire the best-fit values of parameters of our model by utilizing theχ2 minimization technique along with the Markov Chain Monte Carlo random sampling ***,we present the behavior of physical parameters that describe the Universe’s evolution phase,such as density,effective pressure and EoS parameters,skewness parameter,and the statefinder diagnostic *** find that the energy density indicates expected positive behavior,whereas the negative behavior of bulk viscous pressure contributes to the Universe’s *** effective EoS parameter favors the accelerating phase of the Universe’s ***,the skewness parameter shows the anisotropic nature of spacetime during the entire evolution phase of the ***,from the statefinder diagnostic test,we found that our cosmological f(R,Lm)model lies in the quintessence region,and it behaves like a de-Sitter universe in the far *** analyze different energy conditions in order to test the consistency of the obtained *** find that all energy conditions except strong energy condition(SEC)show positive behavior,while the violation of SEC favors the recently observed acceleration with the transition from decelerated to an accelerated epoch of the Universe’s expansion in the recent past.

关键词： LRS Bianchi type I metric f(R Lm)gravity bulk viscosity skewness parameter equation of state parameter statefinder parameter

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mLBOA:A Modified Butterfly Optimization Algorithm with Lagrange Interpolation for Global Optimization

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Journal of Bionic Engineering 2022年第4期19卷 1161-1176页

作者： Sushmita Sharma Sanjoy Chakraborty Apu Kumar Saha Sukanta Nama Saroj Kumar sahoo Department of Mathematics National Institute of Technology AgartalaAgartalaTripura 799046India Department of Computer Science and Engineering Iswar Chandra Vidyasagar CollegeBeloniaTripura 799155India Department of Computer Science and Engineering National Institute of Technology AgartalaAgartalaTripura 799046India Department of Applied Mathematics Maharaja Bir Bikram UniversityAgartalaTripura 799004India

Though the Butterfly Bptimization Algorithm(BOA)has already proved its effectiveness as a robust optimization algorithm,it has certain ***,a new variant of BOA,namely mLBOA,is proposed here to improve its *** proposed algorithm employs a self-adaptive parameter setting,Lagrange interpolation formula,and a new local search strategy embedded with Levy flight search to enhance its searching ability to make a better trade-off between exploration and ***,the fragrance generation scheme of BOA is modified,which leads for exploring the domain effectively for better *** evaluate the performance,it has been applied to solve the IEEE CEC 2017 benchmark *** results have been compared to that of six state-of-the-art algorithms and five BOA ***,various statistical tests,such as the Friedman rank test,Wilcoxon rank test,convergence analysis,and complexity analysis,have been conducted to justify the rank,significance,and complexity of the proposed ***,the mLBOA has been applied to solve three real-world engineering design *** all the analyses,it has been found that the proposed mLBOA is a competitive algorithm compared to other popular state-of-the-art algorithms and BOA variants.

关键词： Butterfly optimization algorithm Lagrange interpolation Levy flight search IEEE CEC 2017 functions Engineering design problems

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Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hillslope mining areas

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International Soil and Water Conservation Research 2018年第1期6卷 31-42页

作者： Narayan Kayet Khanindra Pathak Abhisek Chakrabarty Satiprasad sahoo Department of Mining Engineering Indian Institute of TechnologyKharagpurIndia Department of Remote Sensing&GIS Vidyasagar UniversityMidnaporeIndia School of Water Resources Indian Institute of Technology KharagpurIndia

Mining operations result in the generation of barren land and spoil heaps which are subject to high erosion rate during the rainy season. The present study uses the Revised Universal Soil Loss Equation (RUSLE) and SCS-CN (Soil Conservation Service - Curve Number) process to estimate in Kiruburu and Meghahatuburu mining sites areas. The geospatial model of annual average soil loss rate was determined by integrating environmental variables parameters in a raster pixels-based GIS framework. GIS layers with, rainfall passivity and runoff erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management(C) and conservation practice (P) factors were calculated to determine their effects on annual soil erosion in the study area. The coefficient of determination (r2) was 0.834, which indicates a strong correlation of soil loss with runoff and rainfall. Sub -watersheds 5,9,10 and 2 experienced high level of highly runoff. Average annual soil loss was calculated (30*30 m raster grid cell) to determine the critical soil loss areas (Sub-watershed 9 and 5). Total soil erosion area was classified into five class, slight (10,025 ha), moderate (3125 ha), high (973 ha), very high (260 ha) and severe (53 ha). The resulting map shows greatest soil erosion of >40 t h-1 y-1 (severe) through connection to grassland, degraded and open forestry on the erect mining side-escutcheon. The Landsat pan sharpening image and DGPS survey field data were used in the verification of soil erosion results.

关键词： Soil erosion Runoff RUSLE SVM Remote sensing GIS

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QoS aware routing and wavelength allocation in optical burst switching networks using differential evolution optimization

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Digital Communications and Networks 2018年第1期4卷 3-12页

作者： Ravi Sankar Barpanda Ashok Kumar Turuk Bibhudatta sahoo Department of Computer Science & Engineering National Instiute of Technology Rourkela India 769008

The issue of burst losses imposes a constraint on the development of Optical Burst Switching （OBS） networks. Heavy burst losses strongly affect the Quality of Service （QoS） intended by end users. This article presents a QoS aware Routing and Wavelength Allocation （RWA） technique for burst switching in OBS networks. The RWA problem is modeled as a bi-objective Integer Linear Programming （ILP） problem, where objective functions are based on minimizing the number of wavelengths used and the number of hops traversed to fulfill the burst transmission requests for a given set of node pairs. The ILP model is solved using a novel approach based on a Differential Evolution （DE） algorithm. Analytical results show that the DE algorithm provides a better performance compared to shortest path routing, which is a widely accepted routing strategy for OBS networks.

关键词： Burst loss Optical burst switching Quality of service Routing and wavelength assignmentInteger linear programmingDifferential evolution

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Comparative Performance Analysis of Differential Evolution Variants on Engineering Design Problems

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Journal of Bionic Engineering 2022年第4期19卷 1140-1160页

作者： Sanjoy Chakraborty Apu Kumar Saha Sushmita Sharma Saroj Kumar sahoo Gautam Pal Department of Computer Science and Engineering National Institute of Technology AgartalaAgartalaTripura 799046India Department of Computer Science and Engineering Iswar Chandra Vidyasagar CollegeBeloniaTripura 799155India Department of Mathematics National Institute of Technology AgartalaAgartalaTripura 799046India Department of Computer Science and Engineering Tripura Institute of TechnologyNarsingarhTripura 799015India

Because of their superior problem-solving ability,nature-inspired optimization algorithms are being regularly used in solving complex real-world optimization *** academics have recently focused on meta-heuristic algorithms to solve various optimization *** the state-of-the-art algorithms,Differential Evolution(DE)is one of the most successful algorithms and is frequently used to solve various industrial *** the previous 2 decades,DE has been heavily modified to improve its *** DE variations secured positions in IEEE CEC competitions,establishing their ***,to our knowledge,there has never been a comparison of performance across various CEC-winning DE versions,which could aid in determining which is the most *** this study,the performance of DE and its eight other IEEE CEC competition-winning variants are ***,the algorithms have evaluated IEEE CEC 2019 and 2020 bound-constrained functions,and the performances have been *** unconstrained problem from IEEE CEC 2011 problem suite and five other constrained mechanical engineering design problems,out of which four issues have been taken from IEEE CEC 2020 non-convex constrained optimization suite,have been solved to compare the *** analyses like Friedman's test and Wilcoxon's test are executed to verify the algorithm’s ability *** analysis exposes that none of the DE variants can solve all the problems *** of SHADE and ELSHADE-SPACMA are considerable among the methods used for comparison to solve such mechanical design problems.

关键词： Differential evolution Metaheuristics IEEE CEC Mechanical design problem

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Inversion of radiative transfer model for retrieval of wheat biophysical parameters from broadband reflectance measurements

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Information Processing in Agriculture 2016年第2期3卷 107-118页

作者： Vinay Kumar Sehgal Debasish Chakraborty Rabi Narayan sahoo Division of Agricultural Physics Indian Agricultural Research InstituteNew Delhi 110012India

This study describes the retrieval of wheat biophysical variables of leaf chlorophyll(Cab),leaf area index(LAI),canopy chlorophyll(CCC),and leaf wetness(Cw)from broadband reflectance data corresponding to IRS LISS-3(Linear Imaging Self Scanner)sensor by inversion of PROSAIL5B canopy radiative transfer *** data of wheat crop,grown under different treatments,were measured by hand-held spectroradiometer and later integrated to LISS-3 reflectance using its band-wise relative spectral response *** inversion techniques were used and their performance was compared using different statistical parameters and target *** inversion techniques tried were:a look up table with best solution(LUT-I),a look up table with mean of best 10%solutions(LUT-II)and an artificial neural network(ANN).All the techniques could estimate the biophysical variables by capturing variability in their observed values,though accuracy of estimation varied among the three *** diagram clearly depicted the superiority of LUT-II over the other two approaches indicating that a mean of best 10%solutions is a better strategy while ANN was worst performer showing highest bias for all the *** all the three inversion techniques,the general order of retrieval accuracy was LAI>Cab>CCC>*** range of Cw was very narrow and none of the techniques could estimate variations in *** most of the cases,the parameters were underestimated by model *** best identified LUT-II technique was then applied to retrieve wheat LAI from IRS LISS-3 satellite image of 5-Feb-2012 in Sheopur *** comparison with ground observations showed that the RMSE of LAI retrieval was about 0.56,similar to that observed in ground *** findings of this study may help in refining the protocol for generating operational crop biophysical products from IRS LISS-3 or similar sensors.

关键词： PROSAIL Look up table Neural network Leaf area index Chlorophyll content Target diagram IRS LISS-3

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Static spherically symmetric wormholes in f(Q,T)gravity

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Chinese Physics C 2022年第11期46卷 275-290页

作者： Moreshwar Tayde Zinnat Hassan P.K.sahoo Sashideep Gutti Department of Mathematics Birla Institute of Technology and Science-PilaniHyderabad CampusHyderabad-500078India Department of Physics Birla Institute of Technology and Science-PilaniHyderabad CampusHyderabad-500078India

In this study,we obtain wormhole solutions in the recently proposed extension of symmetric teleparallel gravity,known as f(Q,T)***,the gravitational Lagrangian L is defined by an arbitrary function f of Q and T,where Q is a non-metricity scalar,and T is the trace of the energy-momentum *** this study,we obtain field equations for a static spherically symmetric wormhole metric in the context of general f(Q,T)*** study the wormhole solutions using(ⅰ)a linear equation of state and(ⅱ)an anisotropy *** adopt two different forms of f(Q,T),(a)linear f(Q,T)=αQ+βT and(b)non-linear f(Q,T)=Q+λQ^(2)+ηT,to investigate these *** investigate various energy conditions to search for preservation and violation among the obtained solutions and find that the null energy condition is violated in both cases of our assumed forms of f(Q,T).Finally,we perform a stability analysis using the Tolman-Oppenheimer-Volkov equation.

关键词： wormhole EoS energy conditions stability analysis f(Q,T)gravity

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Data-driven approach to designing a BCI-integrated smart wheelchair through cost-benefit analysis

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High-Confidence Computing 2023年第2期3卷 1-9页

作者： Jenamani Chandrakanta Badajena Srinivas Sethi Ramesh Kumar sahoo Indira Gandhi Institute of Technology Sarang(Nodal Center of Utkal University) Odisha 759146India

A smart wheelchair provides mobility assistance to persons with motor disabilities by processing sensory inputs from the *** involves accurately collecting inputs from the user during various movement activities and using them to determine their intended *** smart wheelchairs work by collecting brain signals in the form of electroencephalography(EEG)signals and by processing them into a quantized format to provide movement assistance to *** systems can be referred to as brain-computer interface(BCI)systems that work with EEG *** data from human beings in the form of brain signals through EEG,along with processing of those signals and ensuring the correctness of actions instigated by those brain signals involve a huge amount of *** this work,we carried out an experiment by taking 100 human subjects and recording their brain signals using a NeuroMax *** wheelchairs are constrained by design as the motion of those is limited either by manual operation or controlled by haptic sensors and *** main objective in this work was to design a wheelchair with better usability and control using machine learning-based knowledge,which is typically a data-driven ***,the proposed approach was designed to take inputs from human gestures and brain sensory activities to provide better usability to the *** attention meditation cost–benefit analysis(AMCBA)proposed in this paper aims to reduce the risk of inappropriate results and improve performance by considering various cost-benefit *** said classifier aims to improve the quality of emotion recognition by filtering features from EEG signals using methods of feature *** operation of the proposed method is described in two steps:in the first step,we assign weights to different channels for the extraction of spatial and temporal information from human *** second step presents the cost-benefit model to improve the accuracy t

关键词： EEG Attention Cost-benefit analysis Machine learning Meditation Smart wheelchair

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Impact of surgery for chronic pancreatitis on the risk of pancreatic cancer:Untying the Gordian knot

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World Journal of Gastroenterology 2021年第27期27卷 4371-4382页

作者： Raja Kalayarasan Sankar Narayanan Jayaprakash sahoo Pazhanivel Mohan Department of Surgical Gastroenterology JIPMERPuducherry 605006India Department of Endocrinology JIPMERPuducherry 605006India Department of Medical Gastroenterology JIPMERPuducherry 605006India

Pancreatic ductal adenocarcinoma is an aggressive tumor with poor long-term *** pancreatitis(CP)is considered a risk factor for the development of pancreatic cancer(PC).Persistent pancreatic inflammation and activation of pancreatic stellate cells play a crucial role in the pathogenesis of CPrelated PC by activating the oncogene *** genetic mutations increase the possibility of recurrent and persistent pancreatic inflammation,they are not directly associated with the development of *** studies suggest that early surgical intervention for CP might have a protective role in the development of CP-related ***,the physician faces the clinical question of whether early surgical intervention should be recommended in patients with CP to prevent the development of ***,the varying relative risk of PC in different subsets of CP underlines the complex gene-environment interactions in the disease ***,it is essential to stratify the risk of PC in each individual *** review focuses on the complex relationship between CP and PC and the impact of surgical intervention on PC *** proposed risk stratification based on the genetic and environmental factors could guide future research and select patients for prophylactic surgery.

关键词： Chronic pancreatitis Pancreatic adenocarcinoma Pancreatic cancer Surgery Hereditary pancreatitis Pancreatitis

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