A multi-objective evolutionary approach for generator scheduling
作者：
Highlights：
• This research describes a two-phase approach for optimal generation scheduling.
• Hourly scheduling considers transmission loss, operation cost, emission allowance.
• 24-h schedules are performed using hourly schedules as inputs.
• All operation constraints of the power system are taken into account.
• This approach outperforms other evolutionary multi-objective optimization methods.
摘要
•This research describes a two-phase approach for optimal generation scheduling.•Hourly scheduling considers transmission loss, operation cost, emission allowance.•24-h schedules are performed using hourly schedules as inputs.•All operation constraints of the power system are taken into account.•This approach outperforms other evolutionary multi-objective optimization methods.
论文关键词：Optimal generation scheduling,Unit commitment,Emission allowance,Multi-objective optimization,Genetic algorithm
论文评审过程：Available online 22 June 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.020
