Patrinos, Panagiotis and Trimboli, Sergio and Bemporad, Alberto Stochastic MPC for real-time market-based optimal power dispatch. In: Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC). IEEE, 7111 -7116. ISBN 978-1-61284-800-6 (2011)
Full text not available from this repository.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.
| Item Type: | Book Section |
|---|---|
| Identification Number: | 10.1109/CDC.2011.6160798 |
| Additional Information: | This work was partially supported by the HYCON2: Highly-complex and networked control systems, Network of Excellence, FP7-IST contract no. 257462 and by the European project E-PRICE: Price-based Control of Electrical Power Systems, FP7-IST contract no. 249096. |
| Projects: | European project E-PRICE: Price-based Control of Electrical Power Systems, FP7-IST contract no. 249096. |
| Uncontrolled Keywords: | Electricity, Energy storage, Generators, Power systems, Production, Real time systems, Stochastic processes |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 04 Apr 2012 08:58 |
| Last Modified: | 04 Apr 2012 08:58 |
| URI: | http://eprints.imtlucca.it/id/eprint/1255 |
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