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

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 t...

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Bibliographic Details
Main Authors: Jingran Ma, Fang Yang, Zhao Li, Qin, S. J.
Format: Conference Proceeding
Language:English
Subjects:
Energy storage
Generators
Mathematical model
MicroGrid
model predictive control
OpenDSS
Optimization
Predictive models
renewable energy
Renewable energy resources
simulation
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Summary: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.
ISSN:1932-5517
DOI:10.1109/PESGM.2012.6344641