Selection of a planning horizon for a hybrid microgrid using simulated wind forecasts
dc.contributor.author | Karatas, Mumtaz | |
dc.contributor.author | Craparo, Emily M. | |
dc.contributor.author | Singham, Dashi I. | |
dc.date.accessioned | 2015-08-28T17:53:22Z | |
dc.date.available | 2015-08-28T17:53:22Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | M. Karatas, E.M. Craparo, D.I. Singham, "Selection of a planning horizon for a hybrid microgrid using simulated wind forecasts," Proceedings of the 2014 Winter Simulation Conference, 11 p. (A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Miller, eds.) | |
dc.identifier.uri | https://hdl.handle.net/10945/46363 | |
dc.description | The article of record as published may be found at http://dx.doi.org/10.1109/WSC.2014.7019964 | |
dc.description.abstract | Hybrid microgrids containing renewable energy sources represent a promising option for organizations wishing to reduce costs while increasing energy security and islanding time. A prime example of such an organization is the U.S. military, which often operates in isolated areas and whose reliance on a fragile commercial electric grid is seen as a security risk. However, incorporating renewable sources into a microgrid is difficult due to their typically intermittent and unpredictable nature. We use simulation techniques to investigate the performance of a hypothetical hybrid microgrid containing both wind turbines and fossil fuel based power sources. Our simulation model produces realistic weather forecast scenarios, which we use to exercise our optimization model and predict optimal grid performance. We perform a sensitivity analysis and find that for day-ahead planning, longer planning horizons are superior to shorter planning horizons, but this improvement diminishes as the length of the planning horizon increases. | en_US |
dc.language.iso | en_US | |
dc.publisher | IEEE | |
dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
dc.title | Selection of a planning horizon for a hybrid microgrid using simulated wind forecasts | en_US |
dc.type | Article | en_US |
dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
dc.contributor.department | Operations Research (OR) |