Thesis supervisor: Gyula Simon
co-supervisor: Lóránt Kovács
Location of studies (in Hungarian): University of Pannonia, Faculty of Information Technology, Department of Computer Science and Systems Technology Abbreviation of location of studies: PE
Description of the research topic:
The use of intelligent algorithmic solutions and two way electricity flow are expanding in power systems, which is called Smart Grid in the literature. The efficient utilization of renewable energy sources and the spread of electric vehicles present new challenges to the service providers. Demand side management is one of the hottest topics in this field, where one research direction is the direct control of appliances connected to a smart meter. For direct control applications a bottom-up model of the consumers/appliances, statistical parameters, and distributed algorithms are needed. This research topic is the follow-up of a statistical Consumption Admission Control, which is capable of controlling of appliances connected to a single smart meter.
The aim of the research is the decomposition of the local control parameters from system-wide QoS parameters. Additionally it is important to incorporate storage elements, which are going to be realistic components of the system with the widespread of EVs, into the admission control algorithm. The statistical parameters of consumers are time dependent, so the methods for direct control are sensitive to the forecast of these parameters. There is no overall solution for this problem yet, that is why it is an additional task to develop a forecasting method which can include weather, occupation, social and other parameters as well.
[1] Lorant Kovacs, Janos Levendovszky, Andras Olah, Rajmund Drenyovszki, David Tisza, Kalman Tornai and Istvan Pinter: “A probabilistic approach for admission control of smart appliances in Smart Grids“, Proceedings of 5th International Scientific and Expert Conference TEAM 2013, pp. 18-21, November 4-6, Presov, Slovakia, 2013.
[2] Koutitas, G., Control of Flexible Smart Devices in the Smart Grid, IEEE Transactions on Smart Grid, vol.3, no.3,2012, pp.1333,1343.
[3] Z. Fan, A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids, IEEE Transactions on Smart Grid, Vol. 3. No. 3., 2012, pp. 1280-1286
Number of students who can be accepted: 1
Deadline for application: 2016-11-23
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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