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Optimal fuzzy logic based coordination control for improved power flow of a smart grid using smart metering

Stefanou Christos

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URIhttp://purl.tuc.gr/dl/dias/0F68FBC9-F2C4-4015-A626-C4E5CD6609A3-
Identifierhttps://doi.org/10.26233/heallink.tuc.66600-
Languageen-
Extent75 pagesen
TitleOptimal fuzzy logic based coordination control for improved power flow of a smart grid using smart meteringen
TitleΑλγόριθμος ασαφούς ή προβλεπτικού ελεγκτή για τον έλεγχο της ροής ενέργειας σε ευφυές δίκτυο (Smart Grid) χρησιμοποιώντας έξυπνους μετρητέςel
CreatorStefanou Christosen
CreatorΣτεφανου Χριστοςel
Contributor [Thesis Supervisor]Stavrakakis Georgiosen
Contributor [Thesis Supervisor]Σταυρακακης Γεωργιοςel
Contributor [Committee Member]Sergaki Eleftheriaen
Contributor [Committee Member]Σεργακη Ελευθεριαel
Contributor [Committee Member]Kalaitzakis Kostasen
Contributor [Committee Member]Καλαϊτζακης Κωσταςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electrical and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummaryThe proposed thesis deals with modeling and control of the future power system often referred to as the Smart Grid. Smart Grid is designed to improve energy efficiency and grid reliability by increasing the connectivity, automation and coordination between power suppliers and end consumers. In particular Fuzzy or Model Predictive Control (MPC) will be applied as a control and optimization method for intelligently enabling flexible energy resources. Energy Management System (EMS) for end consumer shall be proposed. This system develops an algorithm for smart meter which is integrated between distribution grid and end consumers. The smart meter determines when to draw the energy from the grid or the storage unit for consumption. The objectives of the intelligent EMS are: (i) to save the cost for consumers by shifting the power drawn from the grid from high cost period to low cost period. (ii) to avoid grid overload by shifting the power drawn from the grid from high demand period to low demand period. The algorithm will be applied to a power system based on simple models from literature (e.g. electrical vehicle battery charging/discharging, wind farms, power plants). The algorithm will be tested via simulation results. en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2016-10-04-
Date of Publication2016-
SubjectFuzzy logicen
SubjectΑσαφής λογικήel
SubjectΕυφυή δίκτυαel
SubjectSmart gridsen
Bibliographic CitationChristos Stefanou, "Optimal fuzzy logic based coordination control for improved power flow of a smart grid using smart metering", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2016en
Bibliographic CitationΧρίστος Στεφάνου, "Αλγόριθμος ασαφούς ή προβλεπτικού ελεγκτή για τον έλεγχο της ροής ενέργειας σε ευφυές δίκτυο (Smart Grid) χρησιμοποιώντας έξυπνους μετρητές", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016el

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