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. © 2012 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2012 IEEE Power and Energy Society General Meeting |
| Publisher | IEEE |
| ISBN (Electronic) | 978-1-4673-2729-9 |
| ISBN (Print) | 978-1-4673-2727-5 |
| DOIs | |
| Publication status | Published - Jul 2012 |
| Externally published | Yes |
| Event | 2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States Duration: 22 Jul 2012 → 26 Jul 2012 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2012 IEEE Power and Energy Society General Meeting, PES 2012 |
|---|---|
| Place | United States |
| City | San Diego, CA |
| Period | 22/07/12 → 26/07/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- MicroGrid
- model predictive control
- OpenDSS
- renewable energy
- simulation
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