National Institute of Technology, Silchar

About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.

Application of antlion optimizer technique in restructured automatic generation control of two-area hydro-thermal system considering governor dead band

Abstract: In this article, automatic generation control of two area interconnected system in restructured scenario is addressed. In each area two generation companies (GENCOs), one thermal and other hydro are considered. Dead band nonlinearity is incorporated for governors of the thermal GENCOs. Classical controllers, integral (I), proportional-I (PI) and PI-derivative (PID) are utilized as supplementary controllers. These controller gains are optimized with nature inspired antlion optimizer (ALO) technique. Analysis demonstrates the improved performance of PID controller over I and PI controllers in terms of minimum settling time and reduced peak overshoots in various contract conditions. Sensitivity analysis explores that ALO optimized PID controller parameters found at nominal system conditions are tough enough against variations in system loading and inertia constant parameter. Further, Studies proves the superiority of ALO technique over genetic algorithm and particle swarm techniques in providing the better dynamics and lesser values of cost function in different contract conditions.

Distribution system load flow solution using Genetic Algorithm

Abstract: Deregulation in power system has a positive impact on power system planning, reliability and profit at the cost of increase in complexity in the distribution system. Several methods have been proposed to study the unbalanced three-phase load flow solution for distribution systems. Approach[1] characterizes the network by using two matrices: the bus-injection to branch-current (BIBC) matrix and the branch-current to bus-voltage (BCBV) matrix. In this paper Genetic Algorithm is used to accelerate the performance of the algorithm in [1] during varied network conditions and results obtained are compared with the original method. Programs were developed in MATLAB for both the approaches and applied on the same test system. Test results showed that the proposed approach can give accurate solution faster to different loading patterns including ill conditioned one.

Wavelet-GA-ANN Based Hybrid Model for Accurate Prediction of Short-Term Load Forecast

Abstract: This paper proposes a hybrid model developed through wiser integration of wavelet transforms, floating point GA and artificial neural networks for prediction of short-term load The use of wavelet transforms has added the capability of capturing of both global trend and hidden templates in loads, which is otherwise very difficult to incorporate into the prediction model of ANN Auto-configuring RBF networks are used for predicting the wavelet coefficients of the future loads Floating point GA (FPGA) is used for optimizing the RBF networks The use of GA optimized RBF network has added to the model the online prediction capability of short-term loads accurately The performance of the proposed model is validated using Queensland electricity demand data from the Australian National Electricity Market Results demonstrate that the proposed model is more accurate as compared to RBF only model

A Vision on Intelligent Medical Service for Emergency on 5G and 6G Communication Era

Abstract: Emergency service is the most important research field for welfare of human kind. Some examples are ambulances and fire control truck. However, these conventional emergency services are not equipped with appropriate equipment to provide high QoS. For instance, conventional medical emergency services include ambulances with drivers and oxygen supplies only. Another example is the conventional fire control systems that only include fire control truck, which is not suitable for current scenario due to various challenges, for instance, road traffic. In addition, accidental services are unsatisfactory in current and future emergency services. Emergency service is required by anyone at anytime and anywhere. Therefore, it is the time to redefine and restructure the conventional emergency service for saving more lives. Due to the advent of wireless communication technology, it is possible to provide the emergency service on the spot in nearly real-time to save lives. Moreover, integration of Artificial Intelligence with smart devices can change the definition of emergency services. In this chapter, we envision the various emergency services to advance the healthcare services. Besides, we envision the impact of emergency services on healthcare with the help of Artificial Intelligence, 5G and 6G communication technology.

Plasmon-Sensitized Optoelectronic Properties of Au Nanoparticle-Assisted Vertically Aligned TiO 2 Nanowires by GLAD Technique

Abstract: In this paper, the glancing angle deposition technique is used to fabricate Au nanoparticle-assisted vertically aligned TiO2 nanowires (Au-NP-TiO2-NW) on glass and Si substrates. The effect of annealing on the plasmonic resonance and optical properties of Au-NP-TiO2-NW are investigated by UV-visible absorption and photoluminescence spectroscopy. The field emission gun-scanning electron microscopy with energy dispersive spectroscopy analysis manifests the successful growth of Au-NP-TiO2-NW on Si substrate with the presence of Au, Titanium (Ti), Oxygen (O), and Silicon (Si) in the sample. The transmission electron microscope and X-ray diffraction analysis reveal the polycrystalline nature of the anatase TiO2-NW and Au-NPs with improved crystal quality after annealing. The rectifying behavior of Au-NP-TiO2-NW/Si-based photodetector device under forward bias in dark condition demonstrates the formation of p-n junction at the interface of Au-NP-TiO2-NW and p-Si. The photocurrent and dark current density recorded for the device at 4 V are $\sim 1.69\times 10^{-3}$ and $\sim 1.14\times 10^{-3}$ A/cm2, respectively. However, it is interesting to observe that an average ~60 folds photocurrent as compared with dark current with an excellent response time under the on/off switching of white light upon the device at −3 V, which confirms potential application in optoelectronics.