Applied Grey System Theory to Power Quality of Utility Center in Campus
ABSTRACT The utility center is the most important power supplier in campus. Once the power of utility center is break, trouble, or trip, usually, it directly affects lab and Internet in campus. This paper takes the example from one of technical universities in Taiwan. The 5W1H method is used to analyze the existing situation of utility center, and to make sure all of the power quality factors from the utility center. After that, the best model is created by Interpretive Structural Model for power quality of utility center in campus. Finally, the gray system theory is applied to find the important items, which affect the power quality. Through the grey model, includes GM(0,N) and GM(1,1), the weighting analysis and predictions are realize, which not only offers the best ways to relevant departments, but also directly gives the best suggestions to relevant administers, and guarantees the power quality of utility center in campus.
Conference Proceeding: Decision rule extraction and reduction based on grey lattice classification[show abstract] [hide abstract]
ABSTRACT: This paper proposes a decision rule of extraction and reduction that is based on grey lattice classification. This proposal method comes from joining between rough set theory and grey theory as an approximation algorithm. Grey lattice operations are defined by combining interval grey number in grey theory with interval lattice operations in interval algebra. By defining the equivalents in interval grey number, given data space is correspondent to equivalents of rough set. This proposal method classifies each data set into 3-patterns from given training samples, as existing possibility class, newly made possibility class and existing necessity class. As given examples which require only necessity class, decision rule is simplified by a reduction procedure.Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on; 01/2006
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ABSTRACT: This paper presents the analysis of voltage sag data collected over several years at an industrial customer's corporate campus. Facilities on the campus include office buildings, pilot plants, R&D laboratories, chiller plants and boiler plants. The paper examines the “cause and effect” of voltage dips to the processes at the campus. It also details what the utility and the industrial customer did, or is doing, to mitigate additional dips to the campus. The determination of the final configuration of the power distribution system and its effect on the customer's power quality is also discussedIEEE Transactions on Industry Applications 10/1998; · 1.67 Impact Factor
Conference Proceeding: A Realization Algorithm of Grey Structural Modeling with MATLAB[show abstract] [hide abstract]
ABSTRACT: Grey structural modeling (GSM in short) is a new approach of system modeling methods succeeding to ISM and FSM. GSM has two procedures: estimating a hierarchy of given elements, estimating paths among given elements. The former procedure is constructed from complex equations. In this paper we developed one realization algorithm of the GSM procedure. The main problem we should solve is how to group given elements into several classes and to decide their hierarchy. We are possible to group analyzing an error matrix which is obtained from the localized grey relational grade, and we are also possible to decide their hierarchy according to the localized grey relational grade. We used the topological-based grey relational analysis. These procedures are shown as a pseudo language with several figures, and are realized by MATLAB. Several examples applied with the developed program are shown in this paperCybernetics and Intelligent Systems, 2006 IEEE Conference on; 07/2006