TY  - CHAP
PB  - IEEE
A1  - Patrinos, Panagiotis
A1  - Trimboli, Sergio
A1  - Bemporad, Alberto
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6160798&isnumber=6159299
Y1  - 2011/12//
KW  - Electricity
KW  -  Energy storage
KW  -  Generators
KW  -  Power systems
KW  -  Production
KW  -  Real time systems
KW  -  Stochastic processes 
T2  - Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC)
SN  - 978-1-61284-800-6
AV  - none
N1  - 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.
SP  - 7111 
TI  - Stochastic MPC for real-time market-based optimal power dispatch
N2  - 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.
ID  - eprints1255
EP  - 7116
ER  -