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Saravanan B.,Vellore Institute of Technology | Vasudevan E.R.,Vellore Institute of Technology | Kothari D.P.,JB Group of Educational Institutions
Proceedings of 2013 International Conference on Power, Energy and Control, ICPEC 2013 | Year: 2013

This paper proposes a new solution to effectively determine Unit Commitment and generation cost (UC) using the technique of Invasive Weed Optimization (IWO). The existing technique distributes the load demand among all the generating units. The method proposed here utilizes the output of Unit Commitment obtained through Lagrangian Relaxation (LR) method and calculates the required generation from only the plants that are ON discarding the OFF generator units and thereby giving a faster and more accurate response. Moreover, the results show the comparison between LR-Particle Swarm Optimization (PSO) and LR-IWO and proving that the cost of generation for an 8 hour 4 unit schedule is much lesser in case of IWO when compared to PSO. © 2013 IEEE. Source


Hadi M.A.,JB Group of Educational Institutions | Raghavendra Rao N.G.,Jyothishmathi Institute of Pharmaceutical Science | Srinivasa Rao A.,JB Group of Educational Institutions
Dhaka University Journal of Pharmaceutical Sciences | Year: 2013

In the present research work, we have designed a pulsatile formulation of lornoxicam to treat rheumatoid arthritis as per the chronotherapeutic pattern of the disease. Core tablets were prepared by incorporating different concentration of disintegrants and were compressed in between different concentration and combination of hydrophobic and hydrophilic polymers. The core and compression coated tablets were subjected to pre-formulation, physicochemical, in-vitro drug release and stability studies. FTIR and DSC studies revealed that there was not any chemical reaction between pure drug lornoxicam and polymers. The pre and post-compressional parameters of tablets were also found to be within limits. The core tablets which were incorporated with 10% of crospovidone were found to be as most fastly disintegrating. Our optimized formulation F-5 releases lornoxicam after a lag time of 5.5±0.7 hours and 99.81±0.81% upto 8 hours. Stability was also found for the optimized formulation according to ICH guidelines. Source


Mishra S.,KIIT University | Panigrahi C.K.,JB Group of Educational Institutions | Kothari D.P.,JB Group of Educational Institutions
International Journal of Ambient Energy | Year: 2016

The renewable energy sources are accompanied by certain constraints as reliability, availability and continuous generation. In India, biomass is considered as the second best suitable combination with other renewable energy sources. Both solar and wind are undependable renewable energies as they are unpredictable. Now the key to successful renewable energy harvesting lies in the selection of hybrid system architecture for power generation. In rural areas, light is usually unavailable and if it does, it is mostly an incandescent light used for household lighting instead of fluorescent. System reliability, economy and environmental issues are the three major issues for decentralised electrification. So, finding the best suited hybrid system configuration to overcome these constraints is the need of the hour. It is at this stage that HOMER comes into the picture. HOMER, abbreviated name of hybrid optimization model for electric renewable, successfully realises system configuration before its installation and works for on-grid, off-grid and stand-alone systems, which make it useful for rural to urban applications. It simulates and optimises the best suitable solution for a hybrid system and generates reports incorporating all the aspects in designing a system. Here, a typical hybrid system is considered and the implementation of HOMER software has been incorporated. © 2014 Taylor & Francis. Source


Singh P.,Malaviya National Institute of Technology, Jaipur | Kothari D.P.,JB Group of Educational Institutions | Singh M.,Malaviya National Institute of Technology, Jaipur
Research Journal of Applied Sciences, Engineering and Technology | Year: 2014

This Study proposes the feasibility of proposed restructured power system for the integration of distributed energy resources. Once the proposed power system network takes place, it will be able to provide opportunities for sustained economic growth. Main objectives of the proposed network are maximization of Distributed Generation (DGs) penetration and decarbonization of electric utility. IEEE-14 bus test system with proposed configuration has been undertaken for MATLAB® Simulations, results shows that proposed power system configuration allows the operation of conventional energy generation and green energy generation efficiently. The results obtained from MATLAB® simulations are compared with genetic algorithm based optimization approach. © 2014 Maxwell Scientific Organization. Source

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