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Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets

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dc.citedby3
dc.contributor.authorTahmasebi M.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorid55945605900en_US
dc.contributor.authorid11340187300en_US
dc.date.accessioned2023-05-16T02:47:36Z
dc.date.available2023-05-16T02:47:36Z
dc.date.issued2014
dc.description.abstractDistributed Energy Resources (DER) are small-scale power generation and storage technologies located close to the customer side. One of the DER is wind power generation which is a valuable supplement for the conventional energy sources. The integration of intermittent wind generation in power system requires the inclusion of more inventive and sophisticated methods for the planning of power system operation. At a high penetration level, additional reserve capacity intervention is necessary to cover the shortage in generation when a sudden variation of wind occurs. One of the strategies that can be offered to solve this problem is the use of electrical energy storage. A new technology of electric energy storage is Natrium sulfur (NaS) battery system. Lately, this technology is intensely considered because of its sufficient technological maturity and less environmental impact. This work focuses on the economic operation of generation company (Genco) consisting of wind power plant (WPP) and NaS battery plant (NaSP) in a competitive electricity market and the WPP intermittent coverage. The researcher in this paper uses Self-Scheduling (SS) method to derive maximum expected profit from the Energy and Spinning Reserve Markets. The self-scheduling problem of the Genco is formulated and solved as a mixed integer nonlinear programming (MINLP) problem. The numerical results for a case study are presented in this paper. © JES 2014.en_US
dc.description.natureFinalen_US
dc.identifier.epage167
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84901996802
dc.identifier.spage156
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84901996802&partnerID=40&md5=f53840a4221b16f18cc6a60958e66390
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22125
dc.identifier.volume10
dc.publisherEngineering and Scientific Research Groupsen_US
dc.sourceScopus
dc.sourcetitleJournal of Electrical Systems
dc.titleSelf-scheduling of joint wind power and NaS battery plants in spinning reserve and energy marketsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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