Optimal Scheduling of Distributed Energy Resources by Modern Heuristic Optimization Technique

Basit Öğe Kaydı
dc.contributor.authorBai, Wenlei
dc.contributor.authorEke, Ibrahim
dc.contributor.authorLee, Kwang Y.
dc.date.accessioned2020-06-25T18:23:21Z
dc.date.available2020-06-25T18:23:21Z
dc.date.issued2017
dc.departmentKırıkkale Üniversitesi
dc.description19th International Conference on Intelligent System Application to Power Systems (ISAP) -- SEP 17-20, 2017 -- San Antonio, TX
dc.descriptionEKE, ibrahim/0000-0003-4792-238X
dc.description.abstractThe increasing number and types of energy resources and prosumers has complicated the operation in microgrid greatly. Such problem becomes a hard-to-solve or even impossible-to-solve for traditional mathematical algorithms without necessary approximation. However, modern heuristic optimization techniques have proven their efficiency and robustness in complex non-linear, non-convex and large-size problems. In this paper, we propose a comprehensive microgrid which consists of renewables, distributed generators, demand response, marketplace, energy storage system and prosumers, and investigate the behaviors of such system. A novel heuristic method, artificial bee colony, is proposed to solve the day-ahead optimal scheduling of the microgrid. Case studies have shown that such algorithm is able to solve the problem fast, reliable with satisfactory solutions. For the first case, the computational time is 9 minutes compared with 19 hours by a traditional methodical tool which has not taken necessary approximation of the original problem.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.isbn978-1-5090-4000-1
dc.identifier.scopus2-s2.0-85039948777
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7075
dc.identifier.wosWOS:000426989800045
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2017 19Th International Conference On Intelligent System Application To Power Systems (Isap)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMicrogriden_US
dc.subjectDistributed generators (DG)en_US
dc.subjectModern heuristic optimizationen_US
dc.subjectArtificial bee colony (ABC)en_US
dc.titleOptimal Scheduling of Distributed Energy Resources by Modern Heuristic Optimization Techniqueen_US
dc.typeConference Object

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Optimal Scheduling of Distributed Energy Resources by Modern Heuristic Optimization Technique.pdf
Boyut:
332.88 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full Text
İndir

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Bildiri ve Sunum Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu