Abstract
Distributed energy generation resources provide multiple benefits to electrical networks, including increases in reliability and power quality, increased energy efficiency, and reduced emissions. However, the deployment of a potentially very large number of distributed energy generation resources creates a daunting challenge for the safe operation of the energy network. Microgrids, entities that control locally clustered distributed energy generation resources, may be used to address this challenge since they behave as a single producer or load, from the grid's perspective. The optimal operation of microgrids must ensure that the energy dispatch is done economically while enabling adequate responses to disruptions in the main grid. The deployment of different operational and market policies has a profound impact on the operation of the distributed energy generation sources within the microgrids. To this end, in this work, we develop a multi-objective optimization framework leveraging particle filtering 1) to evaluate impacts of different operational and market policies on microgrids, and 2) to determine the best feasible secure and economic dispatch of distributed energy resources within these systems. The proposed framework has been successfully demonstrated using the Study Case LV Network for various types of network disruptions.
| Original language | English |
|---|---|
| Title of host publication | IIE Annual Conference and Expo 2013 |
| Publisher | Institute of Industrial Engineers |
| Pages | 306-315 |
| Number of pages | 10 |
| State | Published - Jan 1 2013 |
| Event | IIE Annual Conference and Expo 2013 - San Juan, Puerto Rico Duration: May 18 2013 → May 22 2013 |
Other
| Other | IIE Annual Conference and Expo 2013 |
|---|---|
| Country | Puerto Rico |
| City | San Juan |
| Period | 5/18/13 → 5/22/13 |
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Keywords
- Best compromise solution
- Microgrids
- Particle filtering
- Real time dispatching
- Steady state security
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
Cite this
Multi-objective optimization framework for the selection of microgrid policies. / Sáenz, Juan Pablo; Celik, Nurcin.
IIE Annual Conference and Expo 2013. Institute of Industrial Engineers, 2013. p. 306-315.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-objective optimization framework for the selection of microgrid policies
AU - Sáenz, Juan Pablo
AU - Celik, Nurcin
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Distributed energy generation resources provide multiple benefits to electrical networks, including increases in reliability and power quality, increased energy efficiency, and reduced emissions. However, the deployment of a potentially very large number of distributed energy generation resources creates a daunting challenge for the safe operation of the energy network. Microgrids, entities that control locally clustered distributed energy generation resources, may be used to address this challenge since they behave as a single producer or load, from the grid's perspective. The optimal operation of microgrids must ensure that the energy dispatch is done economically while enabling adequate responses to disruptions in the main grid. The deployment of different operational and market policies has a profound impact on the operation of the distributed energy generation sources within the microgrids. To this end, in this work, we develop a multi-objective optimization framework leveraging particle filtering 1) to evaluate impacts of different operational and market policies on microgrids, and 2) to determine the best feasible secure and economic dispatch of distributed energy resources within these systems. The proposed framework has been successfully demonstrated using the Study Case LV Network for various types of network disruptions.
AB - Distributed energy generation resources provide multiple benefits to electrical networks, including increases in reliability and power quality, increased energy efficiency, and reduced emissions. However, the deployment of a potentially very large number of distributed energy generation resources creates a daunting challenge for the safe operation of the energy network. Microgrids, entities that control locally clustered distributed energy generation resources, may be used to address this challenge since they behave as a single producer or load, from the grid's perspective. The optimal operation of microgrids must ensure that the energy dispatch is done economically while enabling adequate responses to disruptions in the main grid. The deployment of different operational and market policies has a profound impact on the operation of the distributed energy generation sources within the microgrids. To this end, in this work, we develop a multi-objective optimization framework leveraging particle filtering 1) to evaluate impacts of different operational and market policies on microgrids, and 2) to determine the best feasible secure and economic dispatch of distributed energy resources within these systems. The proposed framework has been successfully demonstrated using the Study Case LV Network for various types of network disruptions.
KW - Best compromise solution
KW - Microgrids
KW - Particle filtering
KW - Real time dispatching
KW - Steady state security
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M3 - Conference contribution
AN - SCOPUS:84900307038
SP - 306
EP - 315
BT - IIE Annual Conference and Expo 2013
PB - Institute of Industrial Engineers
ER -