Research on Robust Generation Scheduling with Large-Scale Wind Power Integration
Integration of large-scale wind power increased the uncertainty of power grid significantly.It brings new challenge to traditional optimization model of generation scheduling.Robust optimization has recently gained substantial popularity as a modeling framework for optimization problem under parameter uncertainty.In this paper,we propose an adjustable robust optimization formulation to solve generation scheduling problems under uncertainty.Unlike stochastic programming or chance constrained approaches,the robust optimization formulation does not require information on the exact probability distributions.This method protects power systems against all possible scenarios within a deterministic uncertainty set.An alternative formulation that incorporates the forecast case into the generation scheduling problems are also discussed in this paper,suggesting that this robust optimization method is quite flexible and can be applied in various forms.Case studies on IEEE RTS-1996 test system show the effectiveness of the proposed method.
Generation scheduling robust optimization uncertainty wind power unit commitment
Lili Li Qia Ding Mengfu Tu Lirong Xie
NARI Group Corporation,Nanjing 211106,China;NARI Technology Co,Ltd.,Nanjing 211106,China
国内会议
南京
英文
93-101
2017-08-12（万方平台首次上网日期，不代表论文的发表时间）