Impact of large-scale integration of intelligent meters to the operation of the power system of crete

Asimakopoulou, GE; Voumvoulakis, EM; Dimeas, AL; Hatziargyriou, ND

dc.contributor.author	Asimakopoulou, GE	en
dc.contributor.author	Voumvoulakis, EM	en
dc.contributor.author	Dimeas, AL	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T02:53:18Z
dc.date.available	2014-03-01T02:53:18Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36229
dc.subject	CO2 emissions	en
dc.subject	load flow	en
dc.subject	load management	en
dc.subject	power generation dispatch	en
dc.subject	power line losses	en
dc.subject	power system economics	en
dc.subject	power system simulation	en
dc.subject	smart grids	en
dc.subject	smart metering	en
dc.subject.other	Load flow	en
dc.subject.other	power generation dispatch	en
dc.subject.other	Power lines	en
dc.subject.other	Power system economics	en
dc.subject.other	Power system simulations	en
dc.subject.other	Smart grid	en
dc.subject.other	Smart metering	en
dc.subject.other	Carbon dioxide	en
dc.subject.other	Electric lines	en
dc.subject.other	Electric load management	en
dc.subject.other	Electric utilities	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Optimization	en
dc.subject.other	Power transmission	en
dc.subject.other	Wind power	en
dc.subject.other	Smart power grids	en
dc.title	Impact of large-scale integration of intelligent meters to the operation of the power system of crete	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISAP.2011.6082173	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISAP.2011.6082173	en
heal.identifier.secondary	6082173	en
heal.publicationDate	2011	en
heal.abstract	In this paper the contribution of the mass application of intelligent meters to the optimization of the grid operation is examined. The power system of the island of Crete is chosen: it constitutes the largest autonomous sub-system of Greece with a considerable penetration of renewable energy sources (RES) mainly in the form of wind farms. Various load control scenarios are considered. For each one an economic dispatch algorithm and the optimal power flow using Eurostag is applied. The comparison of the results focuses on three directions: 1) power losses on the transmission lines, 2) operational cost of the system, and 3) CO2 emissions. © 2011 IEEE.	en
heal.journalName	2011 16th International Conference on Intelligent System Applications to Power Systems, ISAP 2011	en
dc.identifier.doi	10.1109/ISAP.2011.6082173	en