@inproceedings{d1ce0d4853de4292a755422921495aac,
title = "A Renewable Energy Integration Application in a MicroGrid Based on Model Predictive Control",
abstract = "This paper investigates the application of model predictive control (MPC) method in a MicroGrid with distributed energy resources (DERs), including distributed generators, energy storage and demand response to achieve higher penetration of renewable energy. A MicroGrid is an aggregation of network that is connected to a centralized grid and can be operated autogenously. MPC utilizes a simulation model to make decisions on the amount of power that the MicroGrid should draw from the connected main grid and each DER respectively, in a way that the economical cost is minimized and all operational constraints are satisfied. The potential of MPC is shown by simulations on an IEEE test feeder modeled on the OpenDSS simulator. {\textcopyright} 2012 IEEE.",
keywords = "MicroGrid, model predictive control, OpenDSS, renewable energy, simulation",
author = "Jingran MA and Fang YANG and Zhao LI and QIN, {S. Joe}",
year = "2012",
month = jul,
doi = "10.1109/PESGM.2012.6344641",
language = "English",
isbn = "9781467327275",
series = "IEEE Power and Energy Society General Meeting",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2012 IEEE Power & Energy Society General Meeting",
note = "2012 IEEE Power and Energy Society General Meeting, PES 2012 ; Conference date: 22-07-2012 Through 26-07-2012",
}
