This paper explores the stochastic scheduling of microgrids where energy exchange with the macrogrid is constrained by day-ahead commitments. These constraints are included to reduce the added cost to distribution system operators, associated with the integration and operation of behind-the-meter generation. Chance-constrained optimization is used to minimize operational cost and meet the energy exchange commitments. The problem is transformed into a mixed integer linear program, and is used to analyze the impact of risk aversion on microgrid operating cost and renewables curtailment.
|Original language||English (US)|
|Title of host publication||26 European Symposium on Computer Aided Process Engineering, 2016|
|Editors||Zdravko Kravanja, Milos Bogataj|
|Number of pages||6|
|State||Published - 2016|
|Name||Computer Aided Chemical Engineering|
Bibliographical noteFunding Information:
This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 00039202. Partial financial support from the University of Minnesota Initiative for Renewable Energy and the Environment project RL-0010-13 is also acknowledged.
- Chance Constrained Optimization
- Dynamic Real-Time Optimization
- Stochastic Scheduling