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RISS 인기검색어
- 검색키워드
- 저자 : Prasenjit Dey (검색결과 5 건)
- 무료
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Prasenjit Dey,Anulekha Saha,Aniruddha Bhattacharya,Boonruang Marungsri 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.5
Power system often suff ers from low frequency oscillations (LFOs) which might result in instability in the long run, if allowed to sustain in the system for a long time. In order to mitigate these oscillations, power system stabilizers (PSS) are used through excitation control. Three recently developed meta-heuristic algorithms namely: Collective Decision Optimization (CDO), Grasshopper Optimization Algorithm (GOA) and Salp Swarm Algorithm (SSA) have been applied for the optimal tuning of PSS parameters for small signal stability analysis of a renewable integrated power network. This was done by designing a conventional speed-based lead-lag PSS in a multi-machine interconnected power system, whose parameters have been tuned using CDO, GOA and SSA in a way to shift all the eigenvalues associated to electromechanical modes to the left half of S plane. Comparison of the results obtained by the algorithms demonstrates the superiority of SSA over GOA and CDO to boost the overall system stability over a wide range of operating conditions. The PSS controller designed using SSA is observed to be more robust and effi cient in damping out oscillations under diff erent operating conditions.
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Prasenjit Dey,Ajoy K. Das 한국원자력학회 2016 Nuclear Engineering and Technology Vol.48 No.6
The present study aims to predict the heat transfer characteristics around a square cylinderwith different corner radii using multivariate adaptive regression splines (MARS). Further, the MARS-generated objective function is optimized by particle swarm optimization. The data for the prediction are taken from the recently published article by thepresent authors [P. Dey, A. Sarkar, A.K. Das, Development of GEP and ANN model to predictthe unsteady forced convection over a cylinder, Neural Comput. Appl. (2015) 1-13]. Further,the MARS model is compared with artificial neural network and gene expression programming. It has been found that the MARS model is very efficient in predicting the heattransfer characteristics. It has also been found that MARS is more efficient than artificialneural network and gene expression programming in predicting the forced convectiondata, and also particle swarm optimization can efficiently optimize the heat transfer rate.
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Dey Prasenjit,Saha Anulekha,Srimannarayana Poluri,Bhattacharya Aniruddha,Marungsri Boonruang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2
This paper attempts to identify the diff erent issues related to frequency oscillations in power systems and off ers newer and reliable approach to mitigate them. Load frequency control (LFC) is important to identify the error pertaining to tie-line power exchange in multi-area power systems. A practical system calls for a robust LFC system to handle variations of diff erent parameters owing to load variations. Classical LFC models available in the literature approaches this LFC problem based only on turbine inputs and swing equation and does not consider other important parameters such as stator currents, fi eld voltages, damper winding voltages and network equations etc., which renders the existing models impractical. This paper introduces detailed model using equation based LFC that considers the above parameters and has been implemented on both single and multi-area power systems for validation. For multi-area interconnected power system network, LFC is introduced considering area interchange control (AIC) concept. Integral (I), Integral derivative (ID) and proportional integral derivative (PID), controllers are used to mitigate the frequency oscillations as well as tie-line power deviation between diff erent areas. Three diff erent meta-heuristic algorithms, namely: Salp swarm algorithms (SSA), Grasshopper optimization algorithm (GOA), Collective decision optimization algorithm (CDO) have been employed to tune the controller parameters and their results have been compared. To make the analysis much more relevant to practical systems, diff erent load perturbations are also considered i.e. low, medium, and heavy load perturbation. Results obtained demonstrate the effi ciency of the proposed approach with SSA giving the best tuned parameters for the controllers studied
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Dey, Tapan,Dutta, Prachurjya,Manna, Prasenjit,Kalita, Jatin,Boruah, Hari Prasanna Deka,Buragohain, Alak Kumar,Unni, Balagopalan The Korean Society of Applied Pharmacology 2018 Biomolecules & Therapeutics(구 응용약물학회지) Vol.26 No.4
Vasicinone, a quinazoline alkaloid from Adhatoda vasica Nees. is well known for its bronchodilator activity. However its anti-proliferative activities is yet to be elucidated. Here-in we investigated the anti-proliferative effect of vasicinone and its underlying mechanism against A549 lung carcinoma cells. The A549 cells upon treatment with various doses of vasicinone (10, 30, 50, $70{\mu}M$) for 72 h showed significant decrease in cell viability. Vasicinone treatment also showed DNA fragmentation, LDH leakage, and disruption of mitochondrial potential, and lower wound healing ability in A549 cells. The Annexin V/PI staining showed disrupted plasma membrane integrity and permeability of PI in treated cells. Moreover vasicinone treatment also lead to down regulation of Bcl-2, Fas death receptor and up regulation of PARP, BAD and cytochrome c, suggesting the anti-proliferative nature of vasicinone which mediated apoptosis through both Fas death receptors as well as Bcl-2 regulated signaling. Furthermore, our preliminary studies with vasicinone treatment also showed to lower the ROS levels in A549 cells and have potential free radical scavenging (DPPH, Hydroxyl) activity and ferric reducing power in cell free systems. Thus combining all, vasicinone may be used to develop a new therapeutic agent against oxidative stress induced lung cancer.
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Tapan Dey,Prachurjya Dutta,Prasenjit Manna,Jatin Kalita,Hari Prasanna Deka Boruah,Alak Kumar Buragohain,Balagopalan Unni 한국응용약물학회 2018 Biomolecules & Therapeutics(구 응용약물학회지) Vol.26 No.4
Vasicinone, a quinazoline alkaloid from Adhatoda vasica Nees. is well known for its bronchodilator activity. However its antiproliferative activities is yet to be elucidated. Here-in we investigated the anti-proliferative effect of vasicinone and its underlying mechanism against A549 lung carcinoma cells. The A549 cells upon treatment with various doses of vasicinone (10, 30, 50, 70 μM) for 72 h showed significant decrease in cell viability. Vasicinone treatment also showed DNA fragmentation, LDH leakage, and disruption of mitochondrial potential, and lower wound healing ability in A549 cells. The Annexin V/PI staining showed disrupted plasma membrane integrity and permeability of PI in treated cells. Moreover vasicinone treatment also lead to down regulation of Bcl-2, Fas death receptor and up regulation of PARP, BAD and cytochrome c, suggesting the anti-proliferative nature of vasicinone which mediated apoptosis through both Fas death receptors as well as Bcl-2 regulated signaling. Furthermore, our preliminary studies with vasicinone treatment also showed to lower the ROS levels in A549 cells and have potential free radical scavenging (DPPH, Hydroxyl) activity and ferric reducing power in cell free systems. Thus combining all, vasicinone may be used to develop a new therapeutic agent against oxidative stress induced lung cancer.
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