پديد آورنده :
نوراله، سارا
عنوان :
تعيين شاخص هاي تكي و كلي كيفيت توان بار با استفاده از روش آماري داده كاوي
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
پانزده،95ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد مشاور :
بهزاد ميرزائيان
تاريخ نمايه سازي :
21/2/90
استاد داور :
اكبر ابراهيمي، غلامرضا يوسفي
دانشكده :
مهندسي برق و كامپيوتر
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Abstract Electrical power quality has become an important issue in power systems in the last two decades Some of the reasons are increasing use of non linear loads like arc and power electronic loads fast increase of critical loads such as computers and microprocessors development of inter connected electrical networks restructuring in electricity industry and creation of competitive electricity market In order to understand the electrical power quality having adequate information about its phenomena and their standards is essential Due to stochastic nature of power quality phenomena it is necessary to determine standard levels that is usually expressed in the statistical form Considering technological progresses in the field of measurement equipments standards for the power quality are ever changing So research and revision of the existing standards as well as new standards is required in a permanent form Therefore the nead for a fairly accurate method for evaluating an estimate of power quality level for the network and also obtaining a unique index to include power quality in cost the electricity tariff of the customers is required Some standard indices have been defined for the power quality for example power factor for the reactive power flicker for estimating low frequency changes of voltage however there is no a unique index that can assess the level of system power quality with all above phenomena The purpose of this research is to obtain a quantitative index in a manner that this index covers all power quality phenomena Since the problem of power quality is a function of time varying stochastic phenomena and in general it is a stochastic problem which causes make difficult solving this problem by analytical methods and a combination of statistical mathematical and intelligent methods are used here to overcome the problem Data mining methods present proper algorithms for solution of this problem and Fast ICA algorithm will be introduced and used for our problem In this thesis at first we use the collected data from various points in country and divide them on the basis of types of loads Some levels are defined for each phenomenon of power quality that according to it each phenomenon is divided into 7 classes Using Fast ICA algorithm which is an unsupervised learning method in data mining all the phenomena of power quality are weighed considering the rate of data and number of sites and then using Oclidus distance and weight for power quality phenomena the general and unique index for the sites and levels of power quality are determined Finally these general and unique indices and comparing with ideal sites the sites are clustered in 7 classes key words power quality general and unique index data mining Fast ICA
استاد مشاور :
بهزاد ميرزائيان
استاد داور :
اكبر ابراهيمي، غلامرضا يوسفي
