ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술지 Cooperative Decentralized Peer-to-peer Electricity Trading of Nanogrid Clusters Based on Predictions of Load Demand and PV Power Generation Using a Gated Recurrent Unit Model
Cited 9 time in scopus Download 159 time Share share facebook twitter linkedin kakaostory
이상금, 진호준, Luiz Felipe Vecchietti, 홍준희, 박기범, Pham Ngoc Son, 하동수
IET Renewable Power Generation, v.15 no.15, pp.3505-3523
21PR6100, 가정 에너지 사용량 실시간 진단 및 지능형 자율제어/관리 시스템 원천기술 개발, 도윤미
This paper presents an approach to the power management of nanogrid clusters assisted by a novel form of peer-to-peer (P2P) electricity trading. DC nanogrids have lower power loss in혻real혻time and are suitable for P2P trading. Here, cost of electricity for clusters involving different kinds of photovoltaic (PV) power production (as a secondary source) is reduced by a newly proposed P2P trading scheme. For power management of individual clusters, multi-objective optimization is applied to minimize simultaneously total power consumption, grid power consumption, and total delay incurred locally by scheduling. The temporal surplus of self-supplied PV power of a cluster can be sold through P2P trading to another cluster subjected to a temporal power shortage. In P2P trading, a cooperative game model is used for buyers and sellers to maximize their welfare. To increase P2P trading efficiency, prediction of load demand and PV power production is considered for power management of each cluster to resolve instantaneous imbalances between load demand and PV power production. A gated recurrent unit network is used to forecast future load demand and PV power production in nanogrid cluster could reduce electricity cost by 29.2%.
KSP 제안 키워드
Cost of electricity, Electricity Trading, Electricity cost, Game Model, Gated recurrent unit, Load demand, Multi-objective optimization(MOP), PV Power Generation, Peer-to-Peer(P2P), Photovoltaic (PV) Power, Power Production
본 저작물은 크리에이티브 커먼즈 저작자 표시 (CC BY) 조건에 따라 이용할 수 있습니다.
저작자 표시 (CC BY)