Optimal Operation of Virtual Power Plant in a Day Ahead Market

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dc.contributor.authorAkkas O.P.
dc.contributor.authorCam E.
dc.date.accessioned2020-06-25T15:18:05Z
dc.date.available2020-06-25T15:18:05Z
dc.date.issued2019
dc.departmentKırıkkale Üniversitesi
dc.description3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 -- 11 October 2019 through 13 October 2019 -- -- 156063
dc.description.abstractThe necessity for Renewable Energy Resources (RES) has become a major issue due to the shortage of adequate fossil fuels recently. In addition to fossil fuel shortages, global warming is also an anxiety for a lot of countries and companies. These problems have led to the addition of a large number of renewable energy sources to modern distribution systems. However, due to the high integration of RES to these systems and the intermittent characteristic of sources such as wind and solar, it causes variable production and uncertainty in the power system. It is proposed as a solution to gather these resources together in order to solve the problems caused by the changeable outputs of these resources. Virtual Power Plant (VPP) is described as the management of distributed generation facilities, energy storage systems and controllable loads by an Energy Management System (EMS). In this study, the VPP model consists of renewable energy sources such as wind power plant (WPP), solar power plant (SPP), biogas power plant (BPP) and pumped hydro storage plant (PHSP) as an energy storage system (ESS). The aim of the VPP is to maximize the net daily profit in a 24 h time interval. The proposed mixed integer linear programming (MILP) optimization problem is modeled in GAMS software and solved using CPLEX. © 2019 IEEE.en_US
dc.description.sponsorship2018/009en_US
dc.description.sponsorshipThis work is supported by Kırıkkale University Scientific Research and Projects Coordination Office with the grant number 2018/009.en_US
dc.identifier.doi10.1109/ISMSIT.2019.8932764
dc.identifier.isbn9781728137896
dc.identifier.scopus2-s2.0-85078017974
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ISMSIT.2019.8932764
dc.identifier.urihttps://hdl.handle.net/20.500.12587/2619
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectday ahead marketen_US
dc.subjectenergy management systemen_US
dc.subjectenergy storage systemen_US
dc.subjectrenewable energy sourcesen_US
dc.subjectvirtual power planten_US
dc.titleOptimal Operation of Virtual Power Plant in a Day Ahead Marketen_US
dc.typeConference Object

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