scholarly journals An Equivalent Circuit for the Evaluation of Cross-Country Fault Currents in Medium Voltage (MV) Distribution Networks

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1929 ◽  
Author(s):  
Fabio Gatta ◽  
Alberto Geri ◽  
Stefano Lauria ◽  
Marco Maccioni

A Cross-Country Fault (CCF) is the simultaneous occurrence of a couple of Line-to-Ground Faults (LGFs), affecting different phases of same feeder or of two distinct ones, at different fault locations. CCFs are not uncommon in medium voltage (MV) public distribution networks operated with ungrounded or high-impedance neutral: despite the relatively small value of LGF current that is typical of such networks, CCF currents can be comparable to those that are found in Phase-To-Phase Faults, if the affected feeder(s) consists of cables. This occurs because the faulted cables’ sheaths/screens provide a continuous, relatively low-impedance metallic return path to the fault currents. An accurate evaluation is in order, since the resulting current magnitudes can overheat sheaths/screens, endangering cable joints and other plastic sheaths. Such evaluation, however, requires the modeling of the whole MV network in the phase domain, simulating cable screens and their connections to the primary and secondary substation earth electrodes by suitable computer programs, such as ATP (which is the acronym for alternative transient program) or EMTP (the acronym for electromagnetic transient program), with substantial input data being involved. This paper presents a simplified yet accurate circuit model of the faulted MV network, taking into account the CCF currents’ return path (cable sheaths/screens, ground conductors, and earthing resistances of secondary substations). The proposed CCF model can be implemented in a general-purpose simulation program, and it yields accurate fault currents estimates: for a 20 kV network case study, the comparison with accurate ATP simulations evidences mismatches mostly smaller than 2%, and never exceeding 5%.

Author(s):  
Nguyen Thu Ha ◽  
Nguyen Thi Thanh Huyen

The retail market in Vietnam continues to grow with the entry of foreign retail brands and the strong rise of domestic businesses in expanding distribution networks and conquering consumer confidence. The appearance of more retail brands has created a fiercely competitive market. Based on the outcomes of previous research results on brand choice intention combined with a customer survey, the paper proposes an analytical framework and scales to examine the relationship of five elements including store image, price perception, risk perception, brand attitudes, brand awareness and retail brand choice intention with a case study of the Hanoi-based Circle K convenience store chain. These five elements are the precondition for retail businesses to develop their brands so as to attract customers.


Author(s):  
Andrew Berg ◽  
Rafael Portillo

Developing an understanding of monetary policy in LICs must start with the evidence. This chapter briefly reviews the challenges facing the empirical researcher in SSA, including scarce and inaccurate data, short policy regimes that make powerful inference difficult, and the lack of structural models to help interpret the data. It provides an overview of Chapters 4–6, which take three very different approaches to looking at these data: a broad search for cross-country stylized facts (Chapter 4), a detailed case study of a major monetary policy event (Chapter 5), and an examination of whether vector auto-regressions (VARs)—the workhorse empirical tool in this area—are likely to yield useful results in the SSA context (Chapter 6).


2021 ◽  
Vol 11 (15) ◽  
pp. 7169
Author(s):  
Mohamed Allouche ◽  
Tarek Frikha ◽  
Mihai Mitrea ◽  
Gérard Memmi ◽  
Faten Chaabane

To bridge the current gap between the Blockchain expectancies and their intensive computation constraints, the present paper advances a lightweight processing solution, based on a load-balancing architecture, compatible with the lightweight/embedding processing paradigms. In this way, the execution of complex operations is securely delegated to an off-chain general-purpose computing machine while the intimate Blockchain operations are kept on-chain. The illustrations correspond to an on-chain Tezos configuration and to a multiprocessor ARM embedded platform (integrated into a Raspberry Pi). The performances are assessed in terms of security, execution time, and CPU consumption when achieving a visual document fingerprint task. It is thus demonstrated that the advanced solution makes it possible for a computing intensive application to be deployed under severely constrained computation and memory resources, as set by a Raspberry Pi 3. The experimental results show that up to nine Tezos nodes can be deployed on a single Raspberry Pi 3 and that the limitation is not derived from the memory but from the computation resources. The execution time with a limited number of fingerprints is 40% higher than using a classical PC solution (value computed with 95% relative error lower than 5%).


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