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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xian Liu |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Systems Engineering, University of Arkansas at Little Rock, 72204-1099, USA (Xian Liu) |
| Abstract | In this paper we develop an emission mitigation model for the system consisting of both thermal generators and wind turbines. The wind power is a random variable and is assumed to follow the beta distributions. In this model, the probability of wind power is included in the constraint set. This approach may avoid the probabilistic infeasibility caused by improperly using the average of random variables. Then the impact of wind power with different parameters on emission mitigation dispatch is investigated. Results of numerical simulations for a generic system are presented. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 495690 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424465491 |
| ISSN | 19449925 |
| e-ISBN | 9781424465514 |
| e-ISBN | 9781424483570 |
| DOI | 10.1109/PES.2010.5589652 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wind power generation Generators Probabilistic logic Fuels Probability density function Numerical models Wind turbines wind power Economic load dispatch emission control optimization renewable energy smart grid beta distribution beta function |
| Content Type | Text |
| Resource Type | Article |
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