A survey of adjustable robust optimization

İ Yanıkoğlu, BL Gorissen, D den Hertog - European Journal of Operational …, 2019 - Elsevier
Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …

[PDF][PDF] Adjustable robust optimization—a survey and tutorial

İ Yanıkoğlu, B Gorissen… - Available online at …, 2017 - researchgate.net
Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …

Distributed robust reserve scheduling in congested distribution systems

S Troitzsch, S Hanif, T Hamacher - 2018 IEEE Power & Energy …, 2018 - ieeexplore.ieee.org
Flexible electric load control is an important tool for the future power system in the face of
recent challenges to the electric grid. This paper presents a control framework for combining …

Online computation of polytopic flexibility models for demand shifting applications

B **, M Maasoumy, P Nuzzo… - 2017 13th IEEE …, 2017 - ieeexplore.ieee.org
In this paper, we propose two methods for computing a polytopic approximation of the
demand shifting flexibility of a load unit over a future horizon, using a mathematical …

Predictive control methods for building control and demand response

TT Gorecki - 2017 - infoscience.epfl.ch
This thesis studies advanced control techniques for the control of building heating and
cooling systems to provide demand response services to the power network. It is divided in …

Minimum resource commitment for reachability specifications in a discrete time linear setting

R Vignali, M Prandini - IEEE Transactions on Automatic Control, 2016 - ieeexplore.ieee.org
This paper addresses control input design for a discrete time linear system. The goal is to
satisfy a reachability specification and, at the same time, minimize the number of inputs that …