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[해외논문] Short-Term Predictive Power Management of PV-Powered Nanogrids 원문보기

IEEE access : practical research, open solutions, v.8, 2020년, pp.147839 - 147857  

Lee, Sangkeum (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology, Daejeon, South Korea) ,  Jin, Hojun (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology, Daejeon, South Korea) ,  Vecchietti, Luiz Felipe (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology, Daejeon, South Korea) ,  Hong, Junhee (Department of Energy IT, Gachon University, Seongnam, South Korea) ,  Har, Dongsoo (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology, Daejeon, South Korea)

Abstract AI-Helper 아이콘AI-Helper

Optimization of power management of nanogrid based on short-term prediction of PV power production and consequent EV charging/discharging is proposed. Goal of power management is to reduce time-based electricity cost and total delay. To achieve the goal, efficiency in the combined use of PV power an...

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