A renewable energy integration application in a MicroGrid based on model predictive control

Author

Jingran Ma ; Fang Yang ; Zhao Li ; Qin, S.J.

Author_Institution

Dept. of Chem. Eng. & Mater. Sci., Univ. of Southern California, Los Angeles, CA, USA

fYear

2012

fDate

22-26 July 2012

Firstpage

1

Lastpage

6

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.

Keywords

distributed power generation; power generation control; predictive control; renewable energy sources; DER; IEEE test feeder; MPC method; OpenDSS simulator; centralized grid; demand response; distributed energy resources; distributed generators; economical cost; energy storage; microgrid; model predictive control method; operational constraints; renewable energy integration; Energy storage; Generators; Mathematical model; Optimization; Predictive models; Renewable energy resources; MicroGrid; OpenDSS; model predictive control; renewable energy; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2012 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4673-2727-5

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PESGM.2012.6344641

Filename

6344641