Implementation of Optimal Two-Stage Scheduling of Energy Storage System Based on Big-Data-Driven Forecasting—An Actual Case Study in a Campus Microgrid

Implementation of Optimal Two-Stage Scheduling of Energy Storage System Based on Big-Data-Driven Forecasting—An Actual Case Study in a Campus Microgrid

Optimal operation scheduling of energy storage systems (ESSs) has been considered as an effective way to cope with uncertainties arising in modern grid operation such as the inherent intermittency of the renewable energy sources (RESs) and load variations. This paper proposes a scheduling algorithm...

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Bibliographic Details
Main Authors: Byeong-Cheol Jeong, Dong-Hwan Shin, Jae-Beom Im, Jae-Young Park, Young-Jin Kim
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
energy storage system (ESS)
implementation
Internet of Things (IoT)
microgrid (MG)
microgrid energy management system (MEMS)
mixed integer linear programming (MILP)
open-source
optimal scheduling
two-stage
Online Access:https://www.mdpi.com/1996-1073/12/6/1124

Internet

https://www.mdpi.com/1996-1073/12/6/1124

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