TY - GEN
T1 - Distributed Robust Reserve Scheduling in Congested Distribution Systems
AU - Troitzsch, Sebastian
AU - Hanif, Sarmad
AU - Hamacher, Thomas
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - 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 optimal load scheduling for flexible loads, a dualised worst-case formulation of the uncertain disturbance prediction errors and reserve scheduling via a dualised worst-case formulation with a distributed method for congestion management in the distribution system via a subgradient algorithm. The suitability of the developed framework is demonstrated on a benchmark distribution system.
AB - 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 optimal load scheduling for flexible loads, a dualised worst-case formulation of the uncertain disturbance prediction errors and reserve scheduling via a dualised worst-case formulation with a distributed method for congestion management in the distribution system via a subgradient algorithm. The suitability of the developed framework is demonstrated on a benchmark distribution system.
KW - Distributed Congestion Management
KW - Flexible Loads
KW - Robust Control
KW - Robust Reserve Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85060802729&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2018.8586650
DO - 10.1109/PESGM.2018.8586650
M3 - Conference contribution
AN - SCOPUS:85060802729
T3 - IEEE Power and Energy Society General Meeting
BT - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PB - IEEE Computer Society
T2 - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Y2 - 5 August 2018 through 10 August 2018
ER -
