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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Halilcevic, S.S. Gubina, A.F. Softic, I.I. |
| Copyright Year | 2012 |
| Description | Author affiliation: University of Ljubljana, Faculty of Electrical Engineering, Tržaška cesta 25, 1000 Ljubljana, Slovenia (Gubina, A.F.) || University of Tuzla, Faculty of Electrical Engineering, Franjevačka 2, 75000 Tuzla, Bosnia and Herzegovina (Halilcevic, S.S.; Softic, I.I.) |
| Abstract | The forecasting of generation capacity reserve through the use of well-being indices provides useful information for power system operator about power system security and for power traders about generation reserve pricing. Using this information, the system operator can take actions to provide sufficient generation capacity reserve to meet the required levels of the security parameters. In the paper we propose an efficient algorithm by which the probabilities of near-term well-being indices of generation capacity reserve can be identified. The proposed algorithm is based on the second order Markov chain and Monte Carlo simulation outcomes. Through the calculated distribution of probabilities of well-being indices of various generation capacity reserve levels the additional needs in reserve and their price can be analyzed and traded. The proposed approach is tested on the Bosnian power system. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 490864 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467308342 |
| e-ISBN | 9781467308335 |
| e-ISBN | 9781467308328 |
| DOI | 10.1109/EEM.2012.6254714 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monte Carlo methods generation capacity reserve Markov processes Well-being indices Markov chains Probability distribution Power systems Steady-state Forecasting Monte Carlo simulation |
| Content Type | Text |
| Resource Type | Article |
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