Reliability constrained unit commitment using simulated annealing

Simopoulos, DN; Kavatza, SD; Vournas, CD

dc.contributor.author	Simopoulos, DN	en
dc.contributor.author	Kavatza, SD	en
dc.contributor.author	Vournas, CD	en
dc.date.accessioned	2014-03-01T01:25:04Z
dc.date.available	2014-03-01T01:25:04Z
dc.date.issued	2006	en
dc.identifier.issn	0885-8950	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17528
dc.subject	Probabilistic reserve assessment	en
dc.subject	Reliability constraints	en
dc.subject	Simulated annealing (SA)	en
dc.subject	Unit commitment (UC)	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Algorithms	en
dc.subject.other	Electric loads	en
dc.subject.other	Probability	en
dc.subject.other	Reliability	en
dc.subject.other	Simulated annealing	en
dc.subject.other	Probabilistic reserve assessment	en
dc.subject.other	Reliability constraints	en
dc.subject.other	Unit commitment	en
dc.subject.other	Electric power systems	en
dc.title	Reliability constrained unit commitment using simulated annealing	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TPWRS.2006.881128	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TPWRS.2006.881128	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This paper proposes a new method for the incorporation of the unit unavailability and the uncertainty of the load forecast in the solution of the short-term unit commitment problem. The above parameters are taken into account in order to assess the required spinning reserve capacity at each hour of the dispatch period, so as to maintain an acceptable reliability level. The unit commitment problem is solved by a simulated annealing algorithm resulting in near-optimal unit commitment solutions. The evaluation of the required spinning reserve capacity is performed by implementing reliability constraints, based on the expected unserved energy and loss of load probability indexes. In this way, the required spinning reserve capacity is effectively scheduled according to the desired reliability level. Numerical simulations have proven the efficiency of the proposed method. © 2006 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Power Systems	en
dc.identifier.doi	10.1109/TPWRS.2006.881128	en
dc.identifier.isi	ISI:000241839700027	en
dc.identifier.volume	21	en
dc.identifier.issue	4	en
dc.identifier.spage	1699	en
dc.identifier.epage	1706	en