Saradindu Ghosh

• PhD
• Professor at National Institute of Technology Durgapur

This study proposes the design of two efficient nature inspired intelligent optimal controllers, flower pollination algorithm (FPA) and bat algorithm (BA) for obtaining optimal path using an autonomous mobile robot in an unknown environment. FPA is based on the pollination process of flowering plants, which transfer pollens by using different polli...

This paper addresses the performance comparison of Radial Basis Function Neural Network (RBFNN) with novel Wavelet Neural Network (WNN) of designing intelligent controllers for path planning of mobile robot in an unknown environment. In the proposed WNN, different types of activation functions such as Mexican Hat, Gaussian and Morlet wavelet functi...

This paper proposes a linear state variable feedback (LSVF) control scheme with state estimator as a Power System Stabilizer (PSS). This controller is adopted here because of the fact that it is an output feedback control strategy similar to conventional PSS schemes available in literature. The performance of the proposed controller is evaluated on...

An autonomous mobile robot is a robot which can move and act autonomously without the help of human assistance. Navigation problem of mobile robot in unknown environment is an interesting research area. This is a problem of deducing a path for the robot from its initial position to a given goal position without collision with the obstacles. Differe...

This article presents a novel binary collective animal behavior algorithm to solve the problem of optimal allotment of distributed generation sets and shunt capacitors in radial distribution systems. Simultaneous sizing and placement of distributed generation units and shunt capacitors in distribution systems is a very complex optimization task, be...

This paper proposes a path planning and intelligent control of mobile robot in unknown environment with static/dynamic obstacles and fixed target. A radial basis function (RBF) network approach is proposed in this work for obtaining optimized path to reach the goal without collision. The competency of the proposed approach is verified by means of s...

In this paper four different Soft Computing (SC) models have been proposed which are able to predict AC breakdown voltage of the two solid insulating materials, namely Leatherite Paper and Manila Paper. The predicted voltage is a function of four input parameters, such as, the thickness of the insulating sample t, void depth t(1), void diameter d a...

In the last few years, a number of factors have led to an increased interest in distributed generation (DG) scheme because placement of DG is the most effective method in reducing the power loss of the distribution networks to serve remote loads. Placement of shunt capacitors improves voltage profile but unable to serve remote load as it can provid...

This paper presents a binary gravitational search algorithm (BGSA) is applied to solve the problem of optimal allotment of DG sets and Shunt capacitors in radial distribution systems. The problem is formulated as a nonlinear constrained single-objective optimization problem where the total line loss (TLL) and the total voltage deviations (TVD) are...

Radial distribution systems employ special recursive techniques for load flow owing to the radial nature and high (R/X) ratio. This paper presents a new efficient technique for accomplishing the load flows in some standard test radial distribution systems. The proposed mathematical approach employs only three recursive equations devoid of any compl...

The monitoring of the state of the insulation and it's interpretation is an important and challenging task. In order to monitor the state of the insulation after application of various voltages under DC and AC conditions, the samples of the paper insulating material Leatherite paper was observed under Scanning Electron Microscope (SEM). The SEM (JE...

In this paper, two different Fuzzy Logic (FL) models have been proposed those are able to predict the AC breakdown voltage of five solid insulating materials due to Partial Discharge (PD) in cavities. The predicted voltage is a function of four input parameters, such as, the thickness of the insulating sample t, void depth t1, void diameter d and r...

A major field of artificial neural networks (ANN) application is function estimation because of its useful properties, such as non-linearity and adaptivity particularly when the equation describing the function is unknown. In this study, the partial discharges (PD) breakdown voltage of five insulating materials under AC conditions has been predicte...

With ever-increasing demand of electricity consumption and increasing open access particularly in restructured environment, transmission line congestion is quite frequent. For maximum benefit and mitigation of congestion, proper sizing and position of distributed generators are ardently necessary. This paper presents a simple method for optimal siz...

Occluded gaseous cavities within the insulating materials are potential sources of electrical trees which can lead to continuous deterioration and breakdown of materials. To determine the suitability of use and to acquire the data for the dimensioning of electrical insulation systems breakdown voltage of insulators should be determined. In this pap...

Gaseous cavities within the insulating materials during manufacturing are potential sources of electrical trees which can lead to continuous degradation and breakdown of materials due to Partial Discharges (PD). To determine the suitability of use and to acquire the data for the dimensioning of electrical insulation systems breakdown voltage of ins...

In porous media, the porosity introduces inhomogeneity in the bulk, which alters the mechanisms of leakage and breakdown exhibited by the dense analog. The presence of pores in solid dielectrics significantly degrades the electrical characteristics and breakdown strength of the material. Lanthanum doped BaTi0.6Zr0.4O3 composition in Ba1-xLaxTi0.6[1...

This paper presents the modeling of Breakdown Voltage (BV) for Leatherite Paper of different thicknesses with artificially created voids of different sizes using Artificial Neural Network (ANN). The study is essentially based on Partial Discharge (PD) mechanism occurring under step-stress condition. It was found in this study that the ANN seems to...

BaTi0.6Zr0.4O3 powder was prepared from barium oxalate hydrate, zirconium oxy-hydroxide and titanium dioxide precursors. Barium oxalate hydrate and zirconium oxy-hydroxide were precipitated from nitrate solution onto the surface of suspended TiO2. Phase formation behaviour of the materials was extensively studied using XRD. BaTiO3 (BT) and BaZrO3 (...

This paper presents the breakdown behaviour of leatherite paper of different thicknesses without or with voids of different sizes. The study is essentially based on partial discharge (PD) mechanism occurring in CIGRE method-II electrode system under step-stress condition. The behaviour of leatherite paper, often used for electrical machine insulati...

Lanthanum doped BaTi_0.6Zr_0.4O₃ composition x = 0.005, 0.01, 0.02, 0.05 and 0.1 in Ba_1-xLa_xTi_0.6[1-5x/12]Zr_0.4O₃ were prepared by modified chemical route. (COOH)₂ldr2H₂O, Ba(NO₃)₂, ZrOCl₂ldr8H₂O an...

This work attempts an estimation of partial discharge inception and extinction voltages (PDIV and PDEV) of sheet samples of solid dielectrics due to void inclusions of different sizes using an ANN. The effect of void dimensions and also the dielectric thickness of three common insulating materials, namely, Leatherite paper, polyethylene film and Pe...

One of the parameters used to characterize the partial discharge (PD) behavior is its inception voltage. The partial discharge inception voltage (PDIV) should always be higher than the operating voltage to ensure that PD does not occur at or near operating voltage. Under these circumstances, other PD parameters such as apparent charge, energy dissi...

The present work attempts to apply artificial neural networks (ANNs) with supervised learning for modelling of discharge inception voltage and stress based on different void parameters. The void depth and gas pressure are the prime considerations of this model. The requisite training data are obtained from experimental studies, published in the lit...

This work attempts at modelling of discharge inception and extinction voltages in dielectric voids applying artificial neural network with supervised learning. The effect of void thickness, the ratios of the void diameter and dielectric thickness to the void thickness are considered. The artificial neural network (ANN) is trained by the digitally s...