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A Case Study on Optimal Sizing of Battery Energy Storage to Solve 'Duck Curve' Issues in Malaysia

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dc.citedby5
dc.contributor.authorWong L.A.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorid57205119530en_US
dc.contributor.authorid6602912020en_US
dc.date.accessioned2023-05-29T08:07:18Z
dc.date.available2023-05-29T08:07:18Z
dc.date.issued2020
dc.descriptionElectric load flow; Electric power transmission networks; Electric utilities; Renewable energy resources; Secondary batteries; Smart power grids; Solar power generation; Battery energy storage; Battery energy storages (BES); Independent system operators; Load profiles; Optimal sizing; Reverse Power flows; Solar photovoltaics; Voltage fluctuations; Battery storageen_US
dc.description.abstractBattery energy storage (BES) has the ability to solve many power system problems especially in systems with renewable energy resources integrated. Due to the intermittent nature of solar photovoltaic (PV) generation, different problems have arise such as voltage fluctuation and reverse power flow. Besides, duck curve issue has become more significant with the increasing amount of PV integrated in the power system as first raised by the Californian Independent System Operator. Studies on these issues has become important in order to solve the steep ramp and over generation problems caused by duck curve issue. The duck curve issues based on general Malaysia load profile and PV pattern are studied in this paper. Besides, the feasibility of BES in solving these issues with suitable BES capacity is investigated. The results show that the BES has the ability to solve the duck curve issues through proper control of BES charging and discharging operation. � 2020 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9275649
dc.identifier.doi10.1109/ICSGCE49177.2020.9275649
dc.identifier.epage4
dc.identifier.scopus2-s2.0-85098886351
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85098886351&doi=10.1109%2fICSGCE49177.2020.9275649&partnerID=40&md5=efd649d1abc3e3d4e8db78f9cf633294
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25200
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2020 8th International Conference on Smart Grid and Clean Energy Technologies, ICSGCE 2020
dc.titleA Case Study on Optimal Sizing of Battery Energy Storage to Solve 'Duck Curve' Issues in Malaysiaen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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