Search results

Identify a new methodology for fault characterization, identification and location in electrical distribution systems, based on the use of matrix algebra.

The developed diagnostic methodology is based on a high precision analytical model of the network using a distributed parameters representation.

Test results have proved the approach to be efficient and precise, while providing a generalized quadripolar model of a line affected by the most common kinds of fault.

Generalization to a greater number of fault cases, experimental tests.

Utilities are quite interested in such items, since the new required quality standards put severe constraints on faults management and clearance. On the other hand, the system requires a rather complete measurement equipment of secondary substations.

The paper presents a new diagnostic technique for faults identification, location and characterization in distribution systems.

The purpose of this paper is to identify a new and simple two‐end algorithm for fault location identification and characterization, in electrical distribution systems.

The developed diagnostic algorithm is based on a simple model of the network using a lumped parameters representation.

Test results have proved the approach to be efficient, allowing a precise fault identification and location while not requiring synchronized measures from the two ends.

There is a need for measurement systems at all MV/LV substations.

Applicability with limited investments is not possible where metering systems are not so diffused, although smart grids and DG units require such infrastructures. Moreover, utilities are quite interested in such issues, since the new required quality standards put severe constraints on faults management and clearance.

The paper presents a new and easier diagnostic algorithm for faults diagnosis in distribution systems.

The purpose of this paper is to identify faults in distribution systems which are unavoidable because of adverse weather conditions and unexpected accidents. Hence, quick fault location is vital for continuous power supply. However, most fault location methods depend on the stored database for locating fault. The database is created by simulation, which is time consuming. Therefore, in this work, a comprehensive fault location method to detect faulty section and fault distance from one-ended bus using limited simulated data is proposed.

The work uses voltage sag data measured at a primary substation. Support vector machine estimates the data which are not simulated. The possible faulty section is determined using matching approach and fault distance using mathematical analysis.

This work proposed a ranking analysis for multiple possible faulty sections, and the fault distance is calculated using Euclidean distance approach.

The research work uses Malaysian distribution system as it represents a practical distribution system with multiple branches and limited measurement at primary substation. The work requires only metering devices to identify fault which is cost effective. In addition, the distribution system is simulated using real-time PSCAD by which the capability of proposed method can be fully tested.

The paper presents a new method for fault analysis. It reduces simulation time and storage space of database. The work identifies faulty section and ranks the prior faulty section. It also identifies fault distance using a mathematical approach.

The purpose of this paper is to discuss the retirement of the Baby Boom generation and the fiscal crisis that almost certainly will accompany it.

Opinion column.

This column lays out the reasons why the current fiscal situation is unsustainable and why the retirement of the Baby Boomers will cause economic dislocation for the entire economy, shaping strategic choices for many business decision‐makers.

Advance warning about a serious issue that will cast a shadow on the entire strategic business environment for the next few decades.

In a time of global recession and customers' pejorative perceptions of financial products, international banks need to understand the determinants of behavioral intentions of high‐net‐worth individuals when considering business tactics for capturing the lucrative wealth management services (WMS) markets. This paper aims to build a predictive model using the theory of planned behavior to determine behavioral intentions of Taiwanese nationals based in the People's Republic of China (the PRC) in respect of their choice and decisions about WMS providers.

Two‐phased sequential mix methods, based on the theory of planned behavior, are employed to investigate factors that influence the choice of wealth management services providers by Taiwanese based in the PRC. An elicitation study plus three pilot tests were administered for questionnaire development, refinement and finalization. The main study employs a cross‐sectional study of Taiwan home nationals resident in China.

A cross sectional study of 227 Taiwanese nationals based in the PRC indicated that “Feeling of trustworthiness”, “Provision of flexible services”, and “Feeling of cultural affinity” are the most crucial among the ten factors related to their intentions and decision making about choice of WMS providers.

The results point to managerial implications of banks' identity, deployment of expatriates, brand‐image position and a regional portfolio platform for bank management to consider entry strategies into the PRC.

This research is the first empirical study in investigating the attitudinal dynamics on wealth management services and their implications to international banks in the PRC.