TY - GEN
T1 - Robust Security-Constrained Unit commitment with recourse cost requirement
AU - Ye, Hongxing
AU - Li, Zuyi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/30
Y1 - 2015/9/30
N2 - With increasing renewable energy resources, price-sensitive loads, and electric-vehicle charging stations in the power grid, uncertainties on both power generation and consumption sides become critical factors in Security-Constrained Unit Commitment (SCUC) problem. Recently, min-max robust optimization approaches are employed to solve SCUC problem. A novel robust SCUC approach is proposed in this paper. The contributions of this paper are: 1) The solution to robust unit commitment and dispatch can be directly used in day-ahead market as it overcomes two issues, conservativeness and absence of robust dispatches, which are two largest obstacles to applying robust SCUC in real markets; 2) A new concept recourse cost, similar to reserve requirement, is proposed to define the upper bound of re-dispatch cost when uncertainties are revealed; 3) Extended Affinely Adjustable (EAA) approximation is employed to accelerate the computation. The preliminary simulation results validated the effectiveness of the proposed approach.
AB - With increasing renewable energy resources, price-sensitive loads, and electric-vehicle charging stations in the power grid, uncertainties on both power generation and consumption sides become critical factors in Security-Constrained Unit Commitment (SCUC) problem. Recently, min-max robust optimization approaches are employed to solve SCUC problem. A novel robust SCUC approach is proposed in this paper. The contributions of this paper are: 1) The solution to robust unit commitment and dispatch can be directly used in day-ahead market as it overcomes two issues, conservativeness and absence of robust dispatches, which are two largest obstacles to applying robust SCUC in real markets; 2) A new concept recourse cost, similar to reserve requirement, is proposed to define the upper bound of re-dispatch cost when uncertainties are revealed; 3) Extended Affinely Adjustable (EAA) approximation is employed to accelerate the computation. The preliminary simulation results validated the effectiveness of the proposed approach.
KW - Affinely Adjustable
KW - Recourse Cost
KW - Robust Optimization
KW - Robust SCUC
UR - https://www.scopus.com/pages/publications/84956861977
U2 - 10.1109/PESGM.2015.7286231
DO - 10.1109/PESGM.2015.7286231
M3 - 会议稿件
AN - SCOPUS:84956861977
T3 - IEEE Power and Energy Society General Meeting
BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PB - IEEE Computer Society
T2 - IEEE Power and Energy Society General Meeting, PESGM 2015
Y2 - 26 July 2015 through 30 July 2015
ER -