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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Patrinos, Panagiotis Trimboli, Sergio Bemporad, Alberto |
| Copyright Year | 2011 |
| Description | Author affiliation: IMT Institute for Advanced Studies Lucca, Piazza San Ponziano 6, 55100, Italy (Patrinos, Panagiotis; Bemporad, Alberto) || Department of Mechanical and Structural Engineering, University of Trento, Via Mesiano 77, 38100, Italy (Trimboli, Sergio) |
| Abstract | We formulate the problem of dynamic, real-time optimal power dispatch for electric power systems consisting of conventional power generators, intermittent generators from renewable sources, energy storage systems and price-inelastic loads. The generation company managing the power system can place bids on the real-time energy market (the so-called regulating market) in order to balance its loads and/or to make profit. Prices, demands and intermittent power injections are considered to be stochastic processes and the goal is to compute power injections for the conventional power generators, charge and discharge levels for the storage units and exchanged power with the rest of the grid that minimize operating and trading costs. We propose a scenario-based stochastic model predictive control algorithm to solve the real-time market-based optimal power dispatch problem. |
| Starting Page | 7111 |
| Ending Page | 7116 |
| File Size | 695462 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612848006 |
| ISSN | 07431546 |
| e-ISBN | 9781612848013 |
| e-ISBN | 9781612847993 |
| DOI | 10.1109/CDC.2011.6160798 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Generators Power systems Energy storage Stochastic processes Electricity Production |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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