Distributed MPC for Efficient Coordination of Storage and Renewable Energy Sources Across Control Areas

Published

Journal Article

© 2010-2012 IEEE. In electric power systems, multiple entities are responsible for ensuring an economic and reliable way of delivering power from producers to consumers. With the increase of variable renewable generation it is becoming increasingly important to take advantage of the individual entities' (and their areas') capabilities for balancing variability. Hence, in this paper, we employ and extend the approximate Newton directions method to optimally coordinate control areas leveraging storage available in one area to balance variable resources in another area with only minimal information exchange among the areas. The problem to be decomposed is a model predictive control problem including generation constraints, energy storage constraints, and AC power flow constraints. Singularity issues encountered when formulating the respective Newton-Raphson steps due to intertemporal constraints are addressed and extensions to the original decomposition method are proposed to improve the convergence rate and required communication of the method.

Full Text

Duke Authors

Cited Authors

  • Baker, K; Guo, J; Hug, G; Li, X

Published Date

  • March 1, 2016

Published In

Volume / Issue

  • 7 / 2

Start / End Page

  • 992 - 1001

International Standard Serial Number (ISSN)

  • 1949-3053

Digital Object Identifier (DOI)

  • 10.1109/TSG.2015.2512503

Citation Source

  • Scopus