AN INTELLIGENT RTP-BASED HOUSEHOLD ELECTRICITY SCHEDULING WITH A GENETIC ALGORITHM IN A SMART GRID
DC Field | Value | Language |
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dc.contributor.author | Kim, B. -Y. | - |
dc.contributor.author | Seok, H. | - |
dc.contributor.author | Kang, Y. | - |
dc.date.available | 2020-07-10T04:22:01Z | - |
dc.date.created | 2020-07-06 | - |
dc.date.issued | 2018-08 | - |
dc.identifier.issn | 2224-7890 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/3375 | - |
dc.description.abstract | Electricity scheduling for households based on real-time pricing (RTP) allows flexible and efficient consumption planning. However, this creates errors in predicted costs. Therefore this study used a genetic algorithm (GA) to reduce the error in predicted costs and suggested a model that offered better consumption planning. This model comprises a provider that supplies electricity and a subscriber that consumes electricity. Each subscriber has an energy management controller (EMC) that selects the optimal electricity scheduling. The provider and subscriber exchange real-time predicted costs and consumption plans to achieve an appropriate balance. During this process, the aforementioned prediction error - i.e., the difference between the predicted cost for each time slot and the final actual cost - occurs. This was addressed in this study using a GA. As a result, the presented model produced consumption plans with costs that were 22.60 per cent lower than the non-scheduled case, and 3.34 per cent lower than the model from a previous study. Furthermore, the fairness for each subscriber was improved by 15.96 per cent compared with the non-scheduled case, and by 0.62 per cent compared with the previous study model. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SOUTHERN AFRICAN INST INDUSTRIAL ENGINEERING | - |
dc.subject | CONSUMPTION | - |
dc.subject | PRICES | - |
dc.title | AN INTELLIGENT RTP-BASED HOUSEHOLD ELECTRICITY SCHEDULING WITH A GENETIC ALGORITHM IN A SMART GRID | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Seok, H. | - |
dc.contributor.affiliatedAuthor | Kang, Y. | - |
dc.identifier.doi | 10.7166/29-2-1813 | - |
dc.identifier.scopusid | 2-s2.0-85053288721 | - |
dc.identifier.wosid | 000443299200005 | - |
dc.identifier.bibliographicCitation | SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, v.29, no.2, pp.43 - 51 | - |
dc.relation.isPartOf | SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING | - |
dc.citation.title | SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING | - |
dc.citation.volume | 29 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 43 | - |
dc.citation.endPage | 51 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.subject.keywordPlus | CONSUMPTION | - |
dc.subject.keywordPlus | PRICES | - |
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