A new memetic algorithm approach for the price based unit commitment problem

Dimitroulas, DK; Georgilakis, PS

dc.contributor.author	Dimitroulas, DK	en
dc.contributor.author	Georgilakis, PS	en
dc.date.accessioned	2014-03-01T01:34:55Z
dc.date.available	2014-03-01T01:34:55Z
dc.date.issued	2011	en
dc.identifier.issn	0306-2619	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20937
dc.subject	Electric energy markets	en
dc.subject	Generation scheduling	en
dc.subject	Genetic algorithm (GA)	en
dc.subject	Memetic algorithm (MA)	en
dc.subject	Price based unit commitment (PBUC)	en
dc.subject	Ramp rate constraints	en
dc.subject.classification	Energy & Fuels	en
dc.subject.classification	Engineering, Chemical	en
dc.subject.other	Electric energy markets	en
dc.subject.other	Generation scheduling	en
dc.subject.other	Memetic algorithms	en
dc.subject.other	Price-based unit commitments	en
dc.subject.other	Ramp rate constraints	en
dc.subject.other	Electric power systems	en
dc.subject.other	Mathematical operators	en
dc.subject.other	Optimization	en
dc.subject.other	Research	en
dc.subject.other	Scheduling algorithms	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	algorithm	en
dc.subject.other	benchmarking	en
dc.subject.other	computer system	en
dc.subject.other	electricity supply	en
dc.subject.other	energy market	en
dc.subject.other	energy planning	en
dc.subject.other	genetic algorithm	en
dc.subject.other	innovation	en
dc.subject.other	optimization	en
dc.subject.other	planning process	en
dc.subject.other	price determination	en
dc.subject.other	research work	en
dc.title	A new memetic algorithm approach for the price based unit commitment problem	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.apenergy.2011.06.009	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.apenergy.2011.06.009	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Unit commitment (UC) is a very important optimization task, which plays a major role in the daily operation planning of electric power systems that is why UC is a core research topic attracting a lot of research efforts. An innovative method based on an advanced memetic algorithm (MA) for the solution of price based unit commitment (PBUC) problem is proposed. The main contributions of this paper are: (i) an innovative two-level tournament selection, (ii) a new multiple window crossover, (iii) a novel window in window mutation operator, (iv) an innovative local search scheme called elite mutation, (v) new population initialization algorithm that is specific to PBUC problem, and (vi) new PBUC test systems including ramp up and ramp down constraints so as to provide new PBUC benchmarks for future research. The innovative two-level tournament selection mechanism contributes to the reduction of the required CPU time. The method has been applied to systems of up to 110 units and the results show that the proposed memetic algorithm is superior to other methods since it finds the optimal solution with a high success rate and within a reasonable execution time. (C) 2011 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Applied Energy	en
dc.identifier.doi	10.1016/j.apenergy.2011.06.009	en
dc.identifier.isi	ISI:000295387200044	en
dc.identifier.volume	88	en
dc.identifier.issue	12	en
dc.identifier.spage	4687	en
dc.identifier.epage	4699	en