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dc.contributor.authorKeerachat Tantraponen_US
dc.contributor.authorPeerapol Jirapongen_US
dc.contributor.authorPanida Thararaken_US
dc.contributor.authorKannathat Mansuwanen_US
dc.date.accessioned2020-04-02T15:02:05Z-
dc.date.available2020-04-02T15:02:05Z-
dc.date.issued2019-06-01en_US
dc.identifier.other2-s2.0-85072322373en_US
dc.identifier.other10.1109/PTC.2019.8810774en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072322373&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/67740-
dc.description.abstract© 2019 IEEE. Renewable energy sources, especially photovoltaic (PV), have grown significantly and become important sources for power generation in distribution systems. However, the PV power generation is fluctuated by cloud movement, weather conditions, and wind speed which directly affect the excessive operation of voltage regulation devices such as the on load tap changer (OLTC). This excessive operation will decrease the expected life cycle and increase maintenance requirements. This paper proposed an optional operation of the battery energy storage system (BESS) in microgrid by optimizing BESS active and reactive power with Cuckoo Search optimization (CSo). The main objective aims to minimize the OLTC tap operation under PV fluctuation. The CSO is implemented in MATLAB while DIgSILENT PowerFactory is used for load flow evaluation. Simulation case studies are performed using system data from the Mae Sa Riang microgrid in Thailand. Results show that the optimal operation of BESS using CSO can effectively reduce the number of OLTC tap operations in microgrid when compared to the results with the base case and microgrid controller.en_US
dc.subjectComputer Scienceen_US
dc.subjectEnergyen_US
dc.subjectEngineeringen_US
dc.titleOptimal operation of battery energy storage system in smart grid for reducing tap changer operation under photovoltaic fluctuation using cuckoo searchen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2019 IEEE Milan PowerTech, PowerTech 2019en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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