Robust Optimization of Microgrids - An Application to Taichung Industrial Park

Jin Su Kang*, Chung Chuan Chang, Dong Yup Lee, Tai Yong Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


Despite a number of studies of a microgrid, robust optimization of a microgrid has not been studied yet. This is critical to a microgrid because it has lots of uncertainties concerning main grid failure, power quality issues, estimates of demand, energy price, regulation change, etc. It is therefore of importance to study and develop robust optimization strategies that take the uncertainty into account at planning a microgrid. The current study aims at developing a robust optimization model for a microgrid which provides set of robust solutions and decision-making procedure for a best solution. The model enables us to consider various uncertainties including energy price, regulation change, and estimates of demand using scenario based approach. The proposed model is validated with Taichung Industrial Park in Taiwan.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Number of pages5
StatePublished - 1 Jan 2012

Publication series

NameComputer Aided Chemical Engineering
ISSN (Print)1570-7946


  • Microgrid
  • Robust Optimization
  • Taichung Industrial Park


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