Pareto Efficient Incentive-based Real-time Pricing Model for Balanced Smart Grids
DC Field | Value | Language |
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dc.contributor.author | Seok, H. | - |
dc.contributor.author | Kim, S. | - |
dc.date.accessioned | 2022-01-20T05:42:47Z | - |
dc.date.available | 2022-01-20T05:42:47Z | - |
dc.date.created | 2022-01-20 | - |
dc.date.issued | 2022-01-01 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/24472 | - |
dc.description.abstract | In this study, a Pareto efficient incentive-based real-time pricing model was designed for balanced energy consumption scheduling (ECS) in a smart grid. In this model, the energy consumption of each subscriber is monitored and updated in real-time by an individual smart meter, and a cost-effective ECS is determined. The most recent research has not considered a balanced distribution of costs and profits to the participants. In general, there is a trade-off between service providers and subscribers. A service provider tries to maximize its profit, and a subscriber tends to minimize its cost. Therefore, the well-adjusted cost and profit distribution of a service provider and subscribers is considered by controlling the incentive degree in a Stackelberg game. The multiobjective genetic algorithm is applied to show the Pareto efficient solutions of a service provider and subscribers. Furthermore, welfare is introduced as the third objective in proposing a practical solution. It is used to select one of the multiple Pareto efficient solutions. The results are compared with those of the nonscheduling and day-ahead-scheduling models. Author | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Pareto Efficient Incentive-based Real-time Pricing Model for Balanced Smart Grids | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Seok, H. | - |
dc.identifier.doi | 10.1109/ACCESS.2021.3138466 | - |
dc.identifier.scopusid | 2-s2.0-85122094631 | - |
dc.identifier.wosid | 000741990800001 | - |
dc.identifier.bibliographicCitation | IEEE Access, v.10, pp.2766 - 2774 | - |
dc.relation.isPartOf | IEEE Access | - |
dc.citation.title | IEEE Access | - |
dc.citation.volume | 10 | - |
dc.citation.startPage | 2766 | - |
dc.citation.endPage | 2774 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | DEMAND-SIDE MANAGEMENT | - |
dc.subject.keywordPlus | SCHEDULING ALGORITHM | - |
dc.subject.keywordPlus | ELECTRICITY MARKET | - |
dc.subject.keywordPlus | LOAD CONTROL | - |
dc.subject.keywordPlus | FAIRNESS | - |
dc.subject.keywordPlus | MECHANISM | - |
dc.subject.keywordAuthor | Demand management | - |
dc.subject.keywordAuthor | genetic algorithm | - |
dc.subject.keywordAuthor | Stackelberg game | - |
dc.subject.keywordAuthor | welfare | - |
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