Abstract
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 language | English (US) |
|---|---|
| Pages (from-to) | 1005-1023 |
| Number of pages | 19 |
| Journal | Energy |
| Volume | 90 |
| DOIs | |
| State | Published - 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.
Keywords
- Distributed power
- Microgrid
- Mixed integer linear programming
- Optimization
- Renewable energy
