The National Institute of Technology Durgapur also known as NIT Durgapur or NITD, is a public engineering college located in Durgapur, West Bengal, India. Formerly known as the Regional Engineering College, Durgapur , it is among the first 8 Regional Engineering Colleges established in India and was founded in 1960 by the then Chief Minister of West Bengal, Dr. Bidhan Chandra Roy. Today it is one of the 30 National Institutes of Technology in India and has been recognised as an Institute of National Importance by the Government of India under the National Institutes of Technology Act, 2007. Wikipedia.
Acharjee P.,National Institute of Technology Durgapur
International Journal of Electrical Power and Energy Systems | Year: 2012
Maximum loadability limit (MLL) is a realistic index to evaluate the steady state voltage stability because it provides system operator a better practical sense of security margin in the aspects of engineering parameter like system loading. If MLL is identified, load margin, voltage stability, security margin can be determined and precaution can be taken. Conventional power flow methods like Newton-Raphson, Gauss-Siedel, fast decoupled power flow methods suffer to provide proper MLL under security constraints as Jacobian matrix becomes singular when system loading approaches its loadability limit. Hence evolutionary techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) are now-a-days applied to solve the non-linear complex MLL problem. Phase angles, active power, voltage magnitudes of load buses, reactive power of PV buses are considered as security constraints for MLL problem. New simple real coded Security Constraint GA (SCGA) is developed to solve the problem. MLL problem is formulated as maximization problem. As handling of real coded power flow variables are easier than binary coding, real coding of SCGA parameters is applied. Novel formulas are developed to update power flow parameters considering corresponding power mismatches. Utilizing decoupling properties of power system, mutation is implemented. To provide diversity, new parent selection in crossover section is adopted. Weak buses are also identified for the application of FACTS devices. The developed method is compared with general PSO (GPSO) technique for test systems of IEEE 14, 30, 57 and 118 bus. Showing characteristics and results, the effectiveness and efficiency of the proposed method is established. © 2011 Elsevier Ltd. All rights reserved.
Kar S.,National Institute of Technology Durgapur |
Das S.,Dr. B. C. Roy Engineering College |
Ghosh P.K.,Dr. B. C. Roy Engineering College
Applied Soft Computing Journal | Year: 2014
This paper surveys neuro fuzzy systems (NFS) development using classification and literature review of articles for the last decade (2002-2012) to explore how various NFS methodologies have been developed during this period. Based on the selected journals of different NFS applications and different online database of NFS, this article surveys and classifies NFS applications into ten different categories such as student modeling system, medical system, economic system, electrical and electronics system, traffic control, image processing and feature extraction, manufacturing and system modeling, forecasting and predictions, NFS enhancements and social sciences. For each of these categories, this paper mentions a brief future outline. This review study indicates mainly three types of future development directions for NFS methodologies, domains and article types: (1) NFS methodologies are tending to be developed toward expertise orientation. (2) It is suggested that different social science methodologies could be implemented using NFS as another kind of expert methodology. (3) The ability to continually change and learning capability is the driving power of NFS methodologies and will be the key for future intelligent applications. © 2013 Elsevier B.V. All rights reserved.
Gangappa S.N.,Gothenburg University |
Botto J.F.,CONICET |
Botto J.F.,National Institute of Technology Durgapur
Trends in Plant Science | Year: 2014
The B-box (BBX) proteins are a class of zinc-finger transcription factors containing a B-box domain with one or two B-box motifs, and sometimes also feature a CCT (CONSTANS, CO-like, and TOC1) domain. BBX proteins are key factors in regulatory networks controlling growth and developmental processes that include seedling photomorphogenesis, photoperiodic regulation of flowering, shade avoidance, and responses to biotic and abiotic stresses. In this review we discuss the functions of BBX proteins and the role of B-box motif in mediating transcriptional regulation and protein-protein interaction in plant signaling. In addition, we provide novel insights into the molecular mechanisms of their action and the evolutionary significance of their functional divergence. © 2014 Elsevier Ltd.
Acharjee P.,National Institute of Technology Durgapur
Energy Strategy Reviews | Year: 2013
The global electricity industry faces many challenges that require immediate attention to growth, expansion and diversity into renewable energy resources such as wind. A major strategic effort is required from power enterprises in developed and developing countries alike, to deal with the increasing grid complexity to integrate diverse energy resources, including the intermittency of wind, into the power systems. This concern for dependency, delivery and costs for energy brings increased safety risks and more constraints for reliable operation of power systems. Smart Grids (SG) has become one of the key developments to solve these problems. In this paper, the present power situation of India is discussed and prospective energy options are outlined. The effects of SG development on social, economic and power sectors are discussed. The main obstacles for the implementation of SG in India are highlighted and their remedies are proposed. A possible framework for the SG architecture and design of SG-features is outlined, considering practical constraints. The recent initiatives taken by the Government of India (GoI) related to smart grids are described. Considering the social, economical, political and environmental circumstances, the paper suggests a strategy for steps to implement smart grids in India. © 2012 Elsevier Ltd.
Saha P.,National Institute of Technology Durgapur
Water, Air, and Soil Pollution | Year: 2010
Tamarind fruit shell was used as a low-cost biosorbent for the removal of methylene blue from aqueous solution. The various factors affecting adsorption, such as agitation, pH, initial dye concentration, contact time, and temperature, were investigated. The dye adsorption capacity was strongly dependent on solution pH as well as temperature. The Langmuir isotherm model showed good fit to the equilibrium adsorption data, and the maximum adsorption capacity obtained was 1.72 mg g-1 at 303 K. The kinetics of adsorption followed the pseudo-second-order model and the rate constant increased with increase in temperature, indicating endothermic nature of adsorption. The Arrhenius equation was used to obtain the activation energy (E a) for the adsorption system. The activation energy was estimated to be 19.65 kJ mol-1. Thermodynamic parameters such as Gibbs free energy (ΔG0), enthalpy (ΔH0), and entropy (ΔS0) were also investigated. Results suggested that adsorption of methylene blue onto tamarind fruit shell was a spontaneous and endothermic process. The present investigation suggests that tamarind fruit shell may be utilized as a low-cost adsorbent for methylene blue removal from aqueous solution. © 2010 Springer Science+Business Media B.V.