Back to Search Start Over

Model Predictive Control Applied to the Dynamic Economic Dispatch Problem.

Model Predictive Control Applied to the Dynamic Economic Dispatch Problem.

Authors :
Velasquez, Miguel Andres
Quijano, Nicanor
Cadena, Angela Ines
Source :
IEEE Latin America Transactions; Apr2017, Vol. 15 Issue 4, p656-662, 7p
Publication Year :
2017

Abstract

Power system operation has been a very complex and interesting problem, and currently has gathered more attention because of new elements in the network. New elements such as renewable sources, demand response, electric vehicles, and energy storage systems, are crucial because of their stochastic behavior. Stochastic variables present new challenges for the system operator, who must prevent future changes in the network status by taking efficient decisions with available information and guarantee the system security. In this document we show that Model Predictive Control (MPC) might be appropriate to solve the economic dispatch problem when feasible future events are considered. A case study is solved from different perspectives of the system operator, which is able to consider or neglect future events. Results show that MPC efficiently solves the economic dispatch problem when considering future events and ramp rate constraints. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
15480992
Volume :
15
Issue :
4
Database :
Complementary Index
Journal :
IEEE Latin America Transactions
Publication Type :
Academic Journal
Accession number :
122577671
Full Text :
https://doi.org/10.1109/TLA.2017.7896351