پديد آورنده :
اعلايي، سحر
عنوان :
به كار گيري روش حسگري فشرده در طراحي كنترل كننده سوپروايزري شبكه هوشمند
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
ده،93ص.: مصور
استاد راهنما :
جعفر قيصري، ايمان ايزدي
استاد مشاور :
يدالله ذاكري
توصيفگر ها :
واحد جمع آوري و فشرده سازي داده , واحد تحليل داده
استاد داور :
مريم ذكري، مرضيه كمالي
تاريخ ورود اطلاعات :
1395/02/06
دانشكده :
مهندسي برق و كامپيوتر
چكيده انگليسي :
IUT 77142Degree M Sc Supervisory Controller Design in Smart Grid using Compressed Sensing Sahar Alaei Supervisor Jafar Ghaisari Iman Izadi Department of Electrical and Computer Engineering Date 01 13 2016 Language PersianAbstract Today due to many advantages especially meeting the growing electricity consumption anddecreasing environmental pollution smart grid has attracted worldwide attention Recently a lot of researches have been carried out to expand and solve smart grid challenges Smartgrids consist of many computer and control units in which data exchange between units isnecessary So one of the main challenges in smart grid is the high volume of transmittedand stored data In transmission the high volume of data causes some problems such as datadelay and interference excessive power consumption network traffic and need for extrabandwidth In storage we deal with lack of storage space An efficient way to solve thischallenge is data compression In this thesis compression methods and their advantages anddisadvantages have been investigated with emphasis on Compressed Sensing The reason isthe low calculations for data compression and the efficiency for electrical signals Also inthis thesis a model of smart grid consisted of wind turbines solar panels and battery banksconnected to a DC bus is considered In this model a local sliding mode controller has beenconsidered for each wind and solar generator Due to its limitations a control algorithm forthe battery bank has been proposed Furthermore in the smart grid model a model predictivesupervisory controller has been considered and a general algorithm for its operation has beenproposed The aim of supervisory controller is determination of the reference power for eachgenerator based on the load demand environmental conditions price of electricity ratedpowers and the limitations of each generator The purpose of local controllers is to ensureeach generator follows the power reference determined by the supervisory controller ifpossible Otherwise generators should produce the maximum allowable power In eachsampling time of supervisory controller part of smart grid data is sent to the supervisorycontroller and monitoring unit The supervisory controller needs data to allocate properpower reference to each generator The monitoring unit uses data to monitor environmentalconditions and the proper functioning of smart grid The volume of data that is transmittedfrom the smart grid model to supervisory and monitoring units is high thus by proposingtwo units data acquisition and compression unit and analysis unit the smart grid model hasbeen modified for applying compression algorithms Then the compression algorithms havebeen performed on transmitted data The simulation results show that using compressedsensing the volume of transmitted and stored data has been extremely reduced whileelectrical signals have been reconstructed with high precision The supervisory controllerhas shown satisfactory performance as well Key Words Smart Grid Compressed Sensing Data Acquisition and Compression unit Data Analysis Unit Supervisory Controller
استاد راهنما :
جعفر قيصري، ايمان ايزدي
استاد مشاور :
يدالله ذاكري
استاد داور :
مريم ذكري، مرضيه كمالي