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Power system fault identification and localization using multiple linear regression of principal component distance indices Alok Mukherjee; Palash Kr. Kundu; Arabinda Das
International Journal of Applied Power Engineering (IJAPE) Vol 9, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.487 KB) | DOI: 10.11591/ijape.v9.i2.pp113-126

Abstract

This paper is focused on the application of principal component analysis (PCA) to classify and localize power system faults in a three phase, radial, long transmission line using receiving end line currents taken almost at the midpoint of the line length. The PCA scores are analyzed to compute principal component distance index (PCDI) which is further analyzed using a ratio based analysis to develop ratio index matrix (R) and ratio error matrix (RE) and ratio error index (REI) which are used to develop a fault classifier, which produces a 100% correct prediction. The later part of the paper deals with the development of a fault localizer using the same PCDI corresponding to six intermediate training locations, which are analyzed with tool like Multiple Linear Regression (MLR) in order to predict the fault location with significantly high accuracy of only 87 m for a 150 km long radial transmission line.
Discrete Design Optimization of Small Open Type Dry Transformers Raju Basak; Arabinda Das; Ajay Sensarma; Amar Nath Sanyal
Bulletin of Electrical Engineering and Informatics Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v1i1.224

Abstract

Transformers of small ratings have a wide field of application. They are generally designed and fabricated using standard stampings available in the market. The design is made according to guidelines given in text-books. But such guidelines do not yield a cost-optimal solution. It may even fail to give a feasible solution if design variables are not properly chosen. This paper presents a method to get the cost-optimal solution subject to usual design constraints. The line of approach is completely different from that given in the standard text-books. Computer programs have been developed for finding out the cost-optimal design using standard stampings and case studies have been made on its basis.
Cost Optimal Design of a Single-Phase Dry Power Transformer Raju Basak; Arabinda Das; Amarnath Sanyal
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 4: December 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i4.206

Abstract

The Dry type transformers are preferred to their oil-immersed counterparts for various reasons, particularly because their operation is hazardless. The application of dry transformers was limited to small ratings in the earlier days. But now these are being used for considerably higher ratings.  Therefore, their cost-optimal design has gained importance. This paper deals with the design procedure for achieving cost optimal design of a dry type single-phase power transformer of small rating, subject to usual design constraints on efficiency and voltage regulation. The selling cost for the transformer has been taken as the objective function. Only two key variables have been chosen, the turns/volt and the height: width ratio of window, which affects the cost function to high degrees. Other variables have been chosen on the basis of designers’ experience. Copper has been used as conductor material and CRGOS as core material to achieve higher efficiency, lower running cost and compact design. The electrical and magnetic loadings have been kept at their maximum values without violating the design constraints. The optimal solution has been obtained by the method of exhaustive search using nested loops.
Discrete Design Optimization of Small Open Type Dry Transformers Raju Basak; Arabinda Das; Ajay Sensarma; Amar Nath Sanyal
Bulletin of Electrical Engineering and Informatics Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v1i1.224

Abstract

Transformers of small ratings have a wide field of application. They are generally designed and fabricated using standard stampings available in the market. The design is made according to guidelines given in text-books. But such guidelines do not yield a cost-optimal solution. It may even fail to give a feasible solution if design variables are not properly chosen. This paper presents a method to get the cost-optimal solution subject to usual design constraints. The line of approach is completely different from that given in the standard text-books. Computer programs have been developed for finding out the cost-optimal design using standard stampings and case studies have been made on its basis.
Discrete Design Optimization of Small Open Type Dry Transformers Raju Basak; Arabinda Das; Ajay Sensarma; Amar Nath Sanyal
Bulletin of Electrical Engineering and Informatics Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (41.689 KB) | DOI: 10.11591/eei.v1i1.224

Abstract

Transformers of small ratings have a wide field of application. They are generally designed and fabricated using standard stampings available in the market. The design is made according to guidelines given in text-books. But such guidelines do not yield a cost-optimal solution. It may even fail to give a feasible solution if design variables are not properly chosen. This paper presents a method to get the cost-optimal solution subject to usual design constraints. The line of approach is completely different from that given in the standard text-books. Computer programs have been developed for finding out the cost-optimal design using standard stampings and case studies have been made on its basis.
Identification and Classification of Power System Faults using Ratio Analysis of Principal Component Distances Alok Mukherjee; Palash Kundu; Arabinda Das
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7603-7612

Abstract

Power system reliability operation has been one of the most vital topics under research. The power system network, mostly the long transmission lines is often subjected to different types of faults leading to maloperation of power flow. The idea of a reliable protection system is to most accurately and efficiently identifying the fault, classifying and the locating of fault. This paper represents the application of dynamic phasors in the form of Principal Component Analysis (PCA) to identify fault in a three phase one end fed 150 km long radial power system transmission line. In the proposed work, (1/4) cycle pre-fault and (1/2) cycle post fault line voltages have been extracted from Electromagnetic Transient Programming (EMTP) simulation. The proposed algorithm is trained using only one set of receiving end data carrying out fault only at the midpoint of the line to generate fault signatures using PCA. The eigenvectors and the score matrix thus obtained corresponding to the three phases using the above analysis have been utilized to construct the component distances, which have been analyzed using ratio analysis to extract the similar features of any particular fault individually.
Optimal Design of a 3-Phase Core Type Distribution Transformer Using Modified Hooke and Jeeves Method Raju Basak; Arabinda Das; Amarnath Sanyal
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7114-7122

Abstract

Hooke and Jeeves method is de facto a pattern search technique, which can be employed for getting an optimal solution. In this paper the method, in a modified form, has been applied for the design optimization of a distribution transformer. It is a constrained multi-variable optimization problem. The solution is obtained by choosing an initial point in the world map of the key variables and by making a local search (exploratory in all directions in the hyper surface formed by the variables. After recognizing the pattern, its advantage is taken by moving towards a lower cost point, using an acceleration factor for faster convergence. The step length is adjusted as we proceed to expedite improvement. The method has been applied to two different cost functions: the cost of production and the cost against production plus capitalized running losses. In both the cases, the problem has converged to a solution and the results are both interesting and illuminating.