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Journal of Modern Power Systems and Clean Energy 2019年第5期7卷 1241-1255页

作者： Sujit Kumar dash pradipta kishore dash Siksha O Anusandhan Deemed to be University Bhubaneswar 751030India

A new hybrid adaptive autoregressive moving average(ARMA)and functional link neural network(FLNN)trained by adaptive cubature Kalman filter(ACKF)is presented in this paper for forecasting day-ahead mixed short-term demand and electricity prices in smart *** hybrid forecasting framework is intended to capture the dynamic interaction between the electricity consumers and the forecasted prices resulting in the shift of demand curve in electricity *** proposed model comprises a linear ARMA-FLNN obtained by using a nonlinear expansion of the weighted *** nonlinear functional block helps introduce nonlinearity by expanding the input space to higher dimensional space through basis *** train the ARMA-FLNN,an ACKF is used to obtain faster convergence and higher forecasting *** proposed method is tested on several electricity markets,and the performance metrics such as the mean average percentage error(MAPE)and error variance are compared with other forecasting methods,indicating the improved accuracy of the approach and its suitability for a real-time forecasting.

关键词： Mixed demand and price forecasting Cubature Kalman filter Price spikes Smart grids

A novel control strategy of a variable-speed doubly-fed-induction-generator-based wind energy conversion system

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Clean Energy 2024年第1期8卷 153-170页

作者： Shibani Prasad Mohapatra pradipta kishore dash Department of Electrical Engineering Siksha O Anusandhan Deemed to be UniversityBhubaneswar-751030OdishaIndia Multidisciplinary Research Cell Siksha O Anusandhan Deemed to be UniversityBhubaneswar-751030OdishaIndia

This paper aims to address the issue of control of a variable-speed wind turbine based on doubly-fed induction generators. In this work,an effort is made to extract the maximum efficiency from a doubly-fed induction generator-based variable-speed wind turbine by controlling the rotor current. In the first step, a maximum power point tracking technique is used to extract the maximum power from theturbine. Then a stator-flux-oriented vector control strategy is employed to control the rotor-side current. Subsequently, a grid voltagevector-oriented control strategy is used to control the grid-side system of the grid-connected generator. Considering the nonlinearityand parameter uncertainty of the system, an active disturbance rejection controller with a sliding-mode-based extended-state observeris developed for the above-mentioned control strategies. Furthermore, the stability of the controller is tested and the performance of thecontroller is compared with the classical proportional-integral controller based on disturbance rejection, robustness and tracking capability in a highly non-linear wind speed variation scenario. Modelling, control and comparison are conducted in the MATLAB®/Simulink®environment. Finally, a real-time hardware set-up is presented using the dSPACE ds-1104 R&D processing board to validate the controlscheme. From the result of the experiments, it is seen that the proposed controller takes 10-15 control cycles to settle to its steady-statevalues, depending on the control loop, whereas the conventional proportional-integral controller takes 60-75 control cycles. As a result,the settling time for the proposed control scheme is shorter than that of the proportional-integral controller.

关键词： doubly-fed induction generator variable-speed wind turbine vector control active disturbance rejection controller stability analysis

A new protection scheme for PV-wind based DC-ring microgrid by using modified multifractal detrended fluctuation analysis

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Protection and Control of Modern Power Systems 2022年第1期7卷 100-123页

作者： Kanche Anjaiah pradipta kishore dash Mrutyunjaya Sahani Department of Electrical Engineering Siksha‘O’Anusandhan Deemed to be UniversityBhubaneswarOdishaIndia Multidisciplinary Research Cell Siksha‘O’Anusandhan Deemed to be UniversityBhubaneswarOdishaIndia Department of Electrical and Electronics Engineering Siksha‘O’Anusandhan Deemed to be UniversityBhubaneswarOdishaIndia

This paper presents fault detection,classification,and location for a PV-Wind-based DC ring microgrid in the MATLAB/SIMULINK ***,DC fault signals are collected from local measurements to examine the outcomes of the proposed *** detection is carried out for all faults,(i.e.,cable and arc faults)under two cases of fault resistance and distance variation,with the assistance of primary and secondary detection techniques,***-order differential current derivatived2I3 dt2and sliding mode window-based Pearson’s correlation *** fault classification a novel approach using modified multifractal detrended fluctuation analysis(M-MFDFA)is *** advantage of this method is its ability to estimate the local trends of any order polynomial function with the help of polynomial and trigonometric *** also doesn’t require any signal processing algorithm for decomposition resulting and this results in a reduction of computational *** detected fault signals are directly passed through the M-MFDFA classifier for fault type *** enhance the performance of the proposed classifier,statistical data is obtained from the M-MFDFA feature vectors,and the obtained data is plotted in 2-D and 3-D scatter plots for better *** fault distance estimation is carried out for all types of faults in the DC ring bus microgrid with the assistance of recursive least squares with a forgetting factor(FF-RLS).To verify the performance and superiority of the proposed classifier,it is compared with existing classifiers in terms of features,classification accuracy(CA),and relative computational time(RCT).

关键词： DC ring microgrid Differential current Fault resistance Detection Classification Fault location estimation Multifractal detrended fluctuation analysis

Optimized protoplast isolation and transfection with a breakpoint:accelerating Cas9/sgRNA cleavage efficiency validation in monocot and dicot

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aBIOTECH 2024年第2期5卷 151-168页

作者： Debasmita Panda Subhasis Karmakar Manaswini dash Swagat Kumar Tripathy Priya Das Sagar Banerjee Yiping Qi Sanghamitra Samantaray pradipta Kumar Mohapatra Mirza J.Baig Kutubuddin A.Molla ICAR National Rice Research Institute CuttackOdisha 753006India Department of Botany Ravenshaw UniversityCuttackOdisha 753003India Department of Plant Science and Landscape Architecture University of MarylandCollege ParkMD 20742USA

The CRISPR-Cas genome editing tools are revolutionizing agriculture and basic biology with their simplicity and precision ability to modify target genomic ***-predicted guide RNAs(gRNAs)often fail to induce efficient cleavage at target *** target loci are inaccessible due to complex chromatin ***,there is no suitable tool available to predict the architecture of genomic target sites and their ***,significant time and resources are spent on performing editing experiments with inefficient *** in vitro-cleavage assay could provide a rough assessment of gRNA efficiency,it largely excludes the interference of native genomic *** in-vivo testing gives a proper assessment of the cleavage ability of editing reagents in a native genomic ***,we developed a modified protocol that offers highly efficient protoplast isolation from rice,Arabidopsis,and chickpea,using a sucrose gradient,transfection using PEG(polyethylene glycol),and validation of single guide RNAs(sgRNAs)cleavage efficiency of *** have optimized various parameters for PEG-mediated protoplast transfection and achieved high transfection efficiency using our protocol in both monocots and *** introduced plasmid vectors containing Cas9 and sgRNAs targeting genes in rice,Arabidopsis,and chickpea *** dual sgRNAs,our CRISPRdeletion strategy offers straightforward detection of genome editing success by simple agarose gel *** sequencing of PCR products confirmed the editing efficiency of specific ***,we demonstrated that isolated protoplasts can be stored for up to 24/48 h with little loss of viability,allowing a pause between isolation and *** high-efficiency protocol for protoplast isolation and transfection enables rapid(less than 7 days)validation of sgRNA cleavage efficiency before proceeding with stable *** isolation and transfection method can als

关键词： Protoplast Genome editing Transgene-free edited plants Rice Chickpea

Review on application and comparison of metaheuristic techniques to multi-area economic dispatch problem

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Protection and Control of Modern Power Systems 2017年第1期2卷 178-188页

作者： Jagat kishore Pattanaik Mousumi Basu Deba Prasad dash 'Department of Power Engineering Jadavpur UniversitySalt Lake CityKolkata 700098India Electrical Engineering Department Orissa Engineering CollegeBhubaneswarIndia.

This paper presents both application and comparison of the metaheuristic techniques to multi-area economic dispatch(MAED)problem with tie line constraints considering transmission losses,multiple fuels,valve-point loading and prohibited operating *** metaheuristic techniques such as differential evolution,evolutionary programming,genetic algorithm and simulated annealing are applied to solve MAED *** metaheuristic techniques for MAED problem are evaluated on three different test systems,both small and large,involving varying degree of complexity and the results are compared against each other.

关键词： Multi-area economic dispatch Tie line constraints Differential evolution Evolutionary programming Genetic algorithm Simulated annealing

Opposition-based differential evolution for hydrothermal power system

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Protection and Control of Modern Power Systems 2017年第1期2卷 40-56页

作者： Jagat kishore Pattanaik Mousumi Basu Deba Prasad dash Department of Power Engineering Jadavpur UniversitySalt Lake CityKolkata 700098India. Electrical Engineering Department Odisha Engineering CollegeBhubaneswarIndia.

This paper presents opposition-based differential evolution to determine the optimal hourly schedule of power generation in a hydrothermal *** evolution(DE)is a population-based stochastic parallel search evolutionary ***-based differential evolution has been used here to improve the effectiveness and quality of the *** proposed opposition-based differential evolution(ODE)employs opposition-based learning(OBL)for population initialization and also for generation *** effectiveness of the proposed method has been verified on two test problems,two fixed head hydrothermal test systems and three hydrothermal multi-reservoir cascaded hydroelectric test systems having prohibited operating zones and thermal units with valve point *** results of the proposed approach are compared with those obtained by other evolutionary *** is found that the proposed opposition-based differential evolution based approach is able to provide better solution.

关键词： Differential evolution Opposition-based differential evolution Hydrothermal system Fixed head Variable head