14750

13276

كارشناسي ارشد

كنترل

اصفهان : دانشگاه صنعتي اصفهان

1398

يازده، 85 ص.: مصور، جدول، نمودار

فريد شيخ الاسلام، مجدالدين نجفي

1398/04/23

كتابنامه

مهندسي برق

مهندسي برق و كامپيوتر

1398/04/23

62247879

Optimization of the Cyber physical Multi agent System Based on Emotional Learning of the Brain Hossein aarab hossein aarab@ec iut ac ir 2019 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Prof Farid Sheikholeslam sheikh@cc iut ac ir Assist Prof Majdeddin Najafi majd najafi@cc iut ac irAbstract In this thesis it has been tried to present a smart cyber physical control method in order to achieve smart grid transientstability based on a multi agent approach Power grid is one of the key aspects of the infrastructure of a country Therefore any major problem in these systems can cause critical damages to other important aspects of infrastructure such as watersupply network transportation communication economy etc For this reason smartening optimization and strengtheningthese systems against either cyberattacks or faults have attracted huge attention On the other hand more attention is paidto cyber physical systems CPSs in the recent years CPS is combining computing with physical components which ismade of embedded systems computer networks physical processes and feedback Usually technologies such as internetof things IoT cloud computing big data etc are utilized in CPSs It is expected to see a mutation in the structure of powergrids which will lead to the appearance of smart grids This change in structure will be made possible by using cyberspaceand technological advances Different approaches to control these systems in the transmission aspect are recommended Among these centralized and distributed approaches can be mentioned In this thesis we use distributed control approachon the basis of brain emotional learning In this procedure we control agents based on a leader follower hierarchy Sucha control approach not only develops a redundancy but also has an appropriate behavior in the form of transient stabilitywhen facing failures This point is illustrated through simulation Moreover such an approach causes a new tendency toanalyze the behavior of the system from the cyber and physical interaction point of view Keywords Smart grid multi agent system cyber physical system smart learning transient stability

فريد شيخ الاسلام، مجدالدين نجفي