Economic operation of isolated networks with wind power

Matos, MA; Miranda, V; Proenca, M; Hang, PS; Pinto, JL; Contaxis, G; Papadopoulos, M; Vlachos, A; Androutsos, A; Stefanakis, J; Gigantidou, A; Dokopoulos, P; Bakirtzis, T

dc.contributor.author	Matos, MA	en
dc.contributor.author	Miranda, V	en
dc.contributor.author	Proenca, M	en
dc.contributor.author	Hang, PS	en
dc.contributor.author	Pinto, JL	en
dc.contributor.author	Contaxis, G	en
dc.contributor.author	Papadopoulos, M	en
dc.contributor.author	Vlachos, A	en
dc.contributor.author	Androutsos, A	en
dc.contributor.author	Stefanakis, J	en
dc.contributor.author	Gigantidou, A	en
dc.contributor.author	Dokopoulos, P	en
dc.contributor.author	Bakirtzis, T	en
dc.date.accessioned	2014-03-01T02:48:45Z
dc.date.available	2014-03-01T02:48:45Z
dc.date.issued	1999	en
dc.identifier.issn	0309524X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34078
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0033512983&partnerID=40&md5=aa2940570746532f94cf6a103eb50733	en
dc.subject.other	Economics	en
dc.subject.other	Electric load forecasting	en
dc.subject.other	Electric power system interconnection	en
dc.subject.other	Scheduling	en
dc.subject.other	Control advice for renewable energy power (CARE) systems	en
dc.subject.other	Isolated power systems	en
dc.subject.other	Wind power	en
dc.subject.other	control system	en
dc.subject.other	economics	en
dc.subject.other	electricity generation	en
dc.subject.other	wind power system	en
dc.title	Economic operation of isolated networks with wind power	en
heal.type	conferenceItem	en
heal.publicationDate	1999	en
heal.abstract	Economic operation of medium-sized and large isolated power systems with a high penetration of renewables, namely wind power, is not well suited neither by the conventional unit commitment/dispatch arrangements for interconnected systems, nor by the simplified procedures used in small systems. In this paper, the economic scheduling functions developed within CARE are described. The main idea is to perform on-line unit commitment in the same cycle with the dispatch, using the most recent forecasts, as described by Hatziargyriou et al. (2000). The Unit Commitment module has two variants: one based on Genetic Algorithms, and one using a Combinatorial Approach. On the other hand, three alternative procedures were developed for the Economic Dispatch: a Linear Programming Optimal Power Flow, an Evolutionary approach and a Genetic Algorithms based procedure. The paper describes the main features of the five approaches, including test results when appropriate.Economic operation of medium-sized and large isolated power systems with a high penetration of renewables, namely wind power, is not well suited neither by the conventional unit commitment/dispatch arrangements for interconnected systems, nor by the simplified procedures used in small systems. In this paper, the economic scheduling functions developed within CARE are described. The main idea is to perform on-line unit commitment in the same cycle with the dispatch, using the most recent forecasts, as described by Hatziargyriou et al. (2000). The Unit Commitment module has two variants: one based on Genetic Algorithms, and one using a Combinatorial Approach. On the other hand, three alternative procedures were developed for the Economic Dispatch: a Linear Programming Optimal Power Flow, an Evolutionary approach and a Genetic Algorithms based procedure. The paper describes the main features of the five approaches, including test results when appropriate.	en
heal.publisher	Multi-Science Publishing Co, Ltd, Brentwood, United Kingdom	en
heal.journalName	Wind Engineering	en
dc.identifier.volume	23	en
dc.identifier.issue	2	en
dc.identifier.spage	89	en
dc.identifier.epage	105	en