| dc.contributor.advisor | James L. Kirtley, Jr. | en_US |
| dc.contributor.author | Brokish, Kevin Martin | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2010-03-25T15:14:30Z | |
| dc.date.available | 2010-03-25T15:14:30Z | |
| dc.date.copyright | 2009 | en_US |
| dc.date.issued | 2009 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/53205 | |
| dc.description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. | en_US |
| dc.description | Cataloged from PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (p. 85-88). | en_US |
| dc.description.abstract | Intelligent appliances have a great potential to provide energy storage and load shedding for power grids. Microgrids are simulated with high levels of wind energy penetration. Frequency-adaptive intelligent appliances are deployed and optimized within the simulation, indicating the usefulness and feasibility of these loads on microgrids. The economic feasibility and implementation of these appliances is also discussed. | en_US |
| dc.description.statementofresponsibility | by Kevin Martin Brokish. | en_US |
| dc.format.extent | 88 p. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Adaptive load control of microgrids with non-dispatchable generation | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | S.M. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 526717787 | en_US |
