By Topic

A dynamic decision model for Smart Grid real time optimal control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Bonfiglio, A. ; Dept. of Naval, Univ. of Genoa, Genoa, Italy ; Delfino, F. ; Minciardi, R. ; Procopio, R.
more authors

The increased penetration of renewable energy sources and the concept of a dynamic and highly distributed Smart Grid which can intelligently integrate production units, storage systems and connected users opened new challenges in the application of optimization techniques. In this work, a dynamic optimization problem is formulated on a power grid characterized by wind and photovoltaic production units, conventional power plants, biomass co-generation and storage systems. A Model Predictive Control (MPC) scheme is adopted in the dynamic decision model for real time purposes. The decision problem takes into account the network load flows constraints and a state equation related to the state of charge (SOC) of the batteries. Different issues (economic, technical, environmental, security) have been taken into account for the formalization of the objective function. Numerical results are finally reported and discussed.

Published in:

Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International

Date of Conference:

9-12 Sept. 2012