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        A Novel High Gain Interleaved Luo Dc–Dc Converter with Cascaded Fuzzy Logic Controller for PV System Application

        Saravanan S.,Usha Rani P. 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2

        The usage of distributed resources of energy like solar PV as an alternative to conventional electric power system is gaining immense popularity in the recent days. The integration of low voltage PV to the grid or load requires implementation of an efficient DC–DC converter of high voltage gain. Hence, an Interleaved Luo converter with higher voltage gain ability that combines the benefits of both switched capacitor and interleaved topologies is employed in this article. The infusion of the interleaving approach to the Luo converter minimizes the effects of output voltage ripples and input current ripples. The selection of a suitable controller is extremely mandatory for enhancing the operation of the interleaved Luo converter by aiding the efficient minimization of peak overshoot and settling time. A Cascaded Fuzzy Logic Controller (CFLC) that overcomes the drawbacks of conventional converters is adopted in this research work to significantly heighten the working of the Interleaved Luo converter. The comparative evaluation of CFLC with Proportional Integral controller and Fuzzy Logic Controller is also performed. The efficiency of the Interleaved Luo converter with CFLC is determined through MATLAB simulation. The Interleaved Luo converter operates with an impressive efficiency of 98.6%.

      • KCI등재

        PSO Based Fuzzy Logic Controller for Load Frequency Control in EV Charging Station

        Vinitha J. C.,Ramadas Geetha,Rani P. Usha 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1

        Electric vehicles are highly preferred in today's scenario to provide an environmentally friendly nature and preserve natural resources such as petroleum and diesel. Many studies on the technical and economic feasibility of electric vehicle charging stations have been conducted. The majority of the research does not focus on power fuctuations in the charging station caused by load variations. Only a few studies have looked into this issue and proposed a static frequency control method for power fuctuation control. However, they used a predefned solver feasp to fnd the best value for controlling the primary and secondary frequency controls in this method. Within its local optimal region, this technique fnds its solution. As a result, an optimization-based feasp for controlling power fuctuations in charging stations is proposed. The Enhanced Particle Swarm Optimization based Fuzzy Logic Controller (FLC) is suggested here for fnding the best solution to reduce power fuctuations using feasp. This optimized approach efectively reduces power fuctuations by determining the best value for controlling the primary and secondary charging frequency in electric vehicles. The system becomes stable in the shortest time with PSO-based FLC, according to simulation results. Furthermore, the magnitude of frequency oscillations, peak overshoot, and settling time are reduced. A comparison of the PSO-FLC method with the conventional method and the Linear–Quadratic Regulator method are compared to justify controller tuning.

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        Metabolic Profiling and Biological Activities of Bioactive Compounds Produced by Pseudomonas sp. Strain ICTB-745 Isolated from Ladakh, India

        ( Kamal ),( Ahmed ),( Anver Basha Shaik ),( C. Ganesh Kumar ),( Poornima Mongolla ),( P. Usha Rani ),( K. V. S ),( Rama Krishna ),( Suman Kumar Mamidyala ),( Joveeta Joseph ) 한국미생물 · 생명공학회 2012 Journal of microbiology and biotechnology Vol.22 No.1

        In an ongoing survey of the bioactive potential of microorganisms from Ladakh, India, the culture medium of a bacterial strain of a new Pseudomonas sp., strain ICTB-745, isolated from an alkaline soil sample collected from Leh, Ladakh, India, was found to contain metabolites that exhibited broad-spectrum antimicrobial and biosurfactant activities. Bioactivity-guided purification resulted in the isolation of four bioactive compounds. Their chemical structures were elucidated by 1H and 13C NMR, 2D-NMR (HMBC, HSQC, 1H,1H-COSY, and DEPT- 135), FT-IR, and mass spectroscopic methods, and were identified as 1-hydroxyphenazine, phenazine-1-carboxylic acid (PCA), rhamnolipid-1 (RL-1), and rhamnolipid-2 (RL-2). These metabolites exhibited various biological activities like antimicrobial and efficient cytotoxic potencies against different human tumor cell lines such as HeLa, HepG2, A549, and MDA MB 231. RL-1 and RL-2 exhibited a dose-dependent antifeedant activity against Spodoptera litura, producing about 82.06% and 73.66% antifeedant activity, whereas PCA showed a moderate antifeedant activity (63.67%) at 60 μg/cm2 area of castor leaf. Furthermore, PCA, RL-1, and RL-2 exhibited about 65%, 52%, and 47% mortality, respectively, against Rhyzopertha dominica at 20 μg/ml. This is the first report of rhamnolipids as antifeedant metabolites against Spodoptera litura and as insecticidal metabolites against Rhyzopertha dominica. The metabolites from Pseudomonas sp. strain ICTB-745 have interesting potential for use as a biopesticide in pest control programs.

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