Accuracy Improvement Method of Energy Storage Utilization with DC Voltage Estimation in Large-Scale Photovoltaic Power Plants
DC Field | Value | Language |
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dc.contributor.author | Yoo, Yeuntae | - |
dc.contributor.author | Jang, Gilsoo | - |
dc.contributor.author | Kim, Jeong-Hwan | - |
dc.contributor.author | Nam, Iseul | - |
dc.contributor.author | Yoon, Minhan | - |
dc.contributor.author | Jung, Seungmin | - |
dc.date.accessioned | 2021-09-01T04:48:41Z | - |
dc.date.available | 2021-09-01T04:48:41Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 1996-1073 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/62595 | - |
dc.description.abstract | In regard to electric devices, currently designed large-scale distributed generation systems require a precise prediction strategy based on the composition of internal component owing to an environmental fluctuating condition and forecasted power variation. A number of renewable resources, such as solar or marine based energies, are made up of a low voltage direct current (DC) network. In addition to actively considering a power compensation plan, these generation systems have negative effects, which can be induced to a connected power system. When a storage is connected to a DC-based generation system on an inner network along with other generators, a precise state analysis plan should back the utilization process. This paper presents a cooperative operating condition, consisting of the shared DC section, which includes photovoltaic (PVs) and energy storage devices. An active storage management plan with voltage-expectation is introduced and compared via a commercialized electro-magnetic transient simulation tool with designed environmental conditions. Owing to their complexity, the case studies were sequentially advanced by dividing state analysis verification and storage device operation. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | SYSTEM | - |
dc.subject | FLOW | - |
dc.subject | OPTIMIZATION | - |
dc.subject | CURTAILMENT | - |
dc.subject | STRATEGIES | - |
dc.subject | TOPOLOGIES | - |
dc.title | Accuracy Improvement Method of Energy Storage Utilization with DC Voltage Estimation in Large-Scale Photovoltaic Power Plants | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jang, Gilsoo | - |
dc.identifier.doi | 10.3390/en12203907 | - |
dc.identifier.scopusid | 2-s2.0-85075018152 | - |
dc.identifier.wosid | 000498391700103 | - |
dc.identifier.bibliographicCitation | ENERGIES, v.12, no.20 | - |
dc.relation.isPartOf | ENERGIES | - |
dc.citation.title | ENERGIES | - |
dc.citation.volume | 12 | - |
dc.citation.number | 20 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | FLOW | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | CURTAILMENT | - |
dc.subject.keywordPlus | STRATEGIES | - |
dc.subject.keywordPlus | TOPOLOGIES | - |
dc.subject.keywordAuthor | PV diagnosis | - |
dc.subject.keywordAuthor | ESS application | - |
dc.subject.keywordAuthor | DC power flow | - |
dc.subject.keywordAuthor | DC system dynamics | - |
dc.subject.keywordAuthor | hybrid generation system | - |
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