Model predictive control-based wind turbine blade pitch angle control for alleviation of frequency fluctuation in a smart grid
| contributor author | Pahasa, J. | |
| contributor author | Ngamroo, I. | |
| date accessioned | 2020-03-12T21:07:44Z | |
| date available | 2020-03-12T21:07:44Z | |
| date issued | 2014 | |
| identifier other | 6925862.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1037961?locale-attribute=en&show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Model predictive control-based wind turbine blade pitch angle control for alleviation of frequency fluctuation in a smart grid | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8164392 | |
| subject keywords | Entropy | |
| subject keywords | Indexes | |
| subject keywords | Power system reliability | |
| subject keywords | Reliability | |
| subject keywords | Substations | |
| subject keywords | Uncertainty | |
| subject keywords | Cloud model | |
| subject keywords | Maximum variance | |
| subject keywords | Substation site selection | |
| subject keywords | UHV | |
| identifier doi | 10.1109/POWERCON.2014.6993840 | |
| journal title | lectrical Engineering Congress (iEECON), 2014 International | |
| filesize | 2095329 | |
| citations | 0 |
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