Wyniki wyszukiwania - BazTech

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Research on Solutions for Implement of Active Distribution Network

You Y., Liu D., Yu N., Pan F., Chen F.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 12a

238-242

EN

Nowadays, distribution systems are facing the challenge to accommodate increasing quantities of Distributed Energy Resources (DERs), especially based on the intermittent renewable sources. So it is inevitable for distribution systems shifting from passive mode to active mode. This paper discusses some important issues for implementation of active distribution network (ADN) which is capable of allowing high penetration of renewable resources together with optimal operation by its flexible network, including planning for active distribution network considering renewable energy uncertainties, fully utilization of large scale intermittent renewable energy and active network management (ANM). Accordingly, some solutions are proposed to meet requirements of implement of active distribution network, basing on the issues aforementioned.

PL

W artykule omówiono zagadnienie implementacji aktywnej sieci przesyłowej, z naciskiem na wysoki poziom wykorzystania odnawialnych źródeł energii (OZE) poprzez zapewnienie elastyczności sieci. Przedstawiono rozwiązania dotyczące niestabilności generowanej przez OZE energii, optymalizacji pracy, maksymalnego wykorzystania generowanej energii oraz zarządzania siecią aktywną.

2

Relaxor characteristics of ferroelectric BaZr0.2Ti0.8O3 ceramics

Fu C., Pan F., Cai W., Deng X., Liu X.

Materials Science Poland

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2009

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Vol. 27, No. 3

891--897

EN

The crystalline microstructure, surface morphology, and the dielectric properties of BaZr0.2Ti0.8O3 (BZT) ceramics are investigated. From the X-ray diffraction pattern, it is found that the c-axis lattice parameter of the BZT ceramics is greater than the a-axis one. The temperature dependence of the electric permittivity indicates that there exists a diffuse transition in BZT ceramics. According to a modified Curie-Weiss law, it is calculated that the diffuseness constant (?) equals 1.93. From the hysteresis loops, it is found that the remanent polarization (2Pr) and the coercive field (2EC) of BZT ceramics both increase as the applied maximum voltage increases.

3

Tool wear monitoring of machine tools

Pan F., Hope A. D., King G. A.

Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej. Konferencje

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1999

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Vol. 86, nr 24

124-132

EN

The project team at Southampton institute have successfully completed the first phase of a programme of work, funded by the Engineering and Physical Science Research Council an the Department of Trade and Industry, to research and develop a novel cutting tool wear monitor. During this work a number of sensor were used to monitor physical parameters associated with tool wear during actual machining conditions and signal processing was carried out on the sampled data in order to extract typical features which can be used to represent tool wear. These features were then used to classify the level of tool wear using fuzzy pattern recognition techniques based on neural network and/or fuzzy logic. The work has concentrated on both turning and milling operations and prototype, demonstrator systems are available. An intelligent tool condition monitoring system is introduced in this paper. The system includes four kinds of sensor, together with signal conditioning equipment, interfaced to a computer. The following research issues are discussed in detail. (i). The selection of suitable sensors and data acquisition system to collect healthy signals from the machining process. (ii). The development and section of appropriate signal features that are sensitive to tool wear and insensitive to experimental noise. (iii). The development of signal classification procedures for reliable identification of tool wear states. A unigue neurofuzzy pattern recognition algorithm has been developed from this study. The algorithm can fuse the information collected from multiple sensor and possesses strong learning and noise suppression ability. This leads to successful classification of the tool wear state over a range of machining conditions.