Understanding and predicting the impact of location and load on microgrid design

Michael Zachar, Prodromos Daoutidis

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


This paper examines the impact of location and load shape selection on microgrid optimal design. 96 unique combinations of location and load shape are considered to provide a broader scope than any previous work in microgrid design sensitivity analysis. In addition, the level of autonomy from the macrogrid is considered as a tunable parameter in the optimization. A generic system is considered consisting of photovoltaics, wind turbine, microturbines, electric and natural gas boilers, thermal storage, and a battery bank. The microgrid is grid-connected and designed to supply both heat and power. A mixed integer linear program is used to minimize the expected cost of energy supply over a 20 year horizon. Trends in the design results are discussed and important input parameters that depend on the location and load shape are identified. Finally, a procedure to quantify these trends and predict optimal design results in new locations is proposed.

Original languageEnglish (US)
Pages (from-to)1005-1023
Number of pages19
StatePublished - Oct 1 2015

Bibliographical note

Funding 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 Minnesotas Initiative for Renewable Energy and the Environment (IREE) project RL-0010-13 is also acknowledged.

Publisher Copyright:
© 2015 Elsevier Ltd.


  • Distributed power
  • Microgrid
  • Mixed integer linear programming
  • Optimization
  • Renewable energy

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