TY - JOUR
T1 - A Fast lp-based approach for robust dynamic economic dispatch problem
T2 - A feasible region projection method
AU - Liu, Yikui
AU - Wu, Lei
AU - Li, Jie
N1 - Publisher Copyright:
© 1969-2012 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - The robust optimization based dynamic economic dispatch (DED) model has been extensively studied to address uncertainties of net loads induced by renewable energy resource variabilities and demand fluctuations. However, the robust DED model is computationally expensive, when solved by the column-And-constraint generation (CCG) approach that iterates between a master problem and a max-min subproblem. This letter proposes a feasible region projection-based approach to equivalently reformulate the robust DED as a single-level linear programming (LP) model that can be effectively solved while guaranteeing solution optimality. Numerical studies show the proposed approach is one order of magnitude faster than CCG.
AB - The robust optimization based dynamic economic dispatch (DED) model has been extensively studied to address uncertainties of net loads induced by renewable energy resource variabilities and demand fluctuations. However, the robust DED model is computationally expensive, when solved by the column-And-constraint generation (CCG) approach that iterates between a master problem and a max-min subproblem. This letter proposes a feasible region projection-based approach to equivalently reformulate the robust DED as a single-level linear programming (LP) model that can be effectively solved while guaranteeing solution optimality. Numerical studies show the proposed approach is one order of magnitude faster than CCG.
KW - Economical dispatch
KW - Fourier-Motzkin elimination
KW - feasible region projection
KW - robust optimization
UR - http://www.scopus.com/inward/record.url?scp=85090109733&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090109733&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2020.3004058
DO - 10.1109/TPWRS.2020.3004058
M3 - Article
AN - SCOPUS:85090109733
SN - 0885-8950
VL - 35
SP - 4116
EP - 4119
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 5
M1 - 9122454
ER -