Computational efficiency
; Electric load shedding
; Genetic algorithms
; Iterative methods
; Local search (optimization)
; Economy and reliabilities
; Large-scale wind power integrations
; Local optimal solution
; Power system
; Unit commitment problem
; Unit-commitment
; Wind power curtailments
; Wind power penetration
; Wind power
Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, 071003, China
Recommended Citation:
Zhu Y.,Liu X.,Deng R.,et al. Memetic Algorithm for Solving Monthly Unit Commitment Problem Considering Uncertain Wind Power[J]. Journal of Control, Automation and Electrical Systems,2020-01-01,31(2)