Control Predictivo Aplicado al Problema de Despacho Economico Dinamico (Model Predictive Control Applied to the Dynamic Economic Dispatch Problem)

Miguel Andres Velasquez (ma.velasquez107@uniandes.edu.co)1, Nicanor Quijano (nquijano@uniandes.edu.co)1, Angela Ines Cadena (acadena@uniandes.edu.co)1


1Universidad de los Andes

This paper appears in: Revista IEEE América Latina

Publication Date: April 2017
Volume: 15,   Issue: 4 
ISSN: 1548-0992


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.

Index Terms:
Economic Dispatch, Model Predictive Control, Prediction Horizon, Ramp Rate, Smart Grids, Stochastic Variables   


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