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Article
Publication date: 3 January 2017

Debraj Sarkar, Debabrata Roy, Amalendu Bikash Choudhury and Sotoshi Yamada

A saturated iron core superconducting fault current limiter (SISFCL) has an important role to play in the present-day power system, providing effective protection against…

Abstract

Purpose

A saturated iron core superconducting fault current limiter (SISFCL) has an important role to play in the present-day power system, providing effective protection against electrical faults and thus ensuring an uninterrupted supply of electricity to the consumers. Previous mathematical models developed to describe the SISFCL use a simple flux density-magnetic field intensity curve representing the ferromagnetic core. As the magnetic state of the core affects the efficient working of the device, this paper aims to present a novel approach in the mathematical modeling of the device with the inclusion of hysteresis.

Design/methodology/approach

The Jiles–Atherton’s hysteresis model is utilized to develop the mathematical model of the limiter. The model is numerically solved using MATLAB. To support the validity of model, finite element model (FEM) with similar specifications was simulated.

Findings

Response of the limiter based on the developed mathematical model is in close agreement with the FEM simulations. To illustrate the effect of the hysteresis, the responses are compared by using three different hysteresis characteristics. Harmonic analysis is performed and comparison is carried out utilizing fast Fourier transform and continuous wavelet transform. It is observed that the core with narrower hysteresis characteristic not only produces a better current suppression but also creates a higher voltage drop across the DC source. It also injects more harmonics in the system under fault condition.

Originality/value

Inclusion of hysteresis in the mathematical model presents a more realistic approach in the transient analysis of the device. The paper provides an essential insight into the effect of the core hysteresis characteristic on the device performance.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 36 no. 1
Type: Research Article
ISSN: 0332-1649

Keywords

Article
Publication date: 10 August 2021

Soumyabrato Bagchi and Bhaskar Chakrabarti

The aim of this paper is to develop a theory of organizational forgetting in the context of local governments from the paradigmatic lens of existing research orchestrated in…

Abstract

Purpose

The aim of this paper is to develop a theory of organizational forgetting in the context of local governments from the paradigmatic lens of existing research orchestrated in management literature. The paper empirically explores how and why local governments forget and discusses the role of local politics in promoting memory loss in organizations.

Design/methodology/approach

The authors do an ethnographic study in a Village Panchayat, the lowest tier of the local government in rural India, in West Bengal, a state in eastern India. Data are collected through participant observation and informal interviews.

Findings

The paper argues that the existing framework on modes of organizational forgetting developed in the management literature is not sufficient in understanding the types of knowledge loss that occur in local governments. It shows that as a consequence of “memory decay” and “failure to capture,” local governments involuntary lose past knowledge and critical sources of expertise. The study also acknowledges the role of politics in deliberately endorsing organizational forgetting in local governments to eliminate failure and ethical lapses of elected representatives.

Originality/value

By exploring the phenomenon of organizational forgetting in local governments in the context of grassroots politics, this paper contributes to the ongoing discussion of organizational forgetting in a hitherto understudied area of how, and under what circumstances, public organizations such as local governments undergo forgetting, unlearning or loss of knowledge.

Details

Journal of Organizational Ethnography, vol. 10 no. 3
Type: Research Article
ISSN: 2046-6749

Keywords

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