School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
This work is supported by National Natural Science Foundation of China (No. 51807125) and Fundamental Research Funds for the Central Universities (No. YJ201750).
The uncertainty factors such as clean energy and electricity price have important influence on the planning and operation of power system. Distributionally robust optimization (DRO) method has been paid more attention since it combines the advantages of stochastic optimization and robust optimization in dealing with uncertainties. Therefore, this paper reviews the application of DRO method in power system. Firstly, the characteristics of DRO method are described and compared with other methods in coping with uncertainties. Secondly, the application status of different types of DRO methods in power system is introduced. Besides, advantages and disadvantages of various DRO methods are analyzed including two classes of probability density, moment information and distributed robust chance constrained method based on these two classes. Finally, the research direction of DRO method in the field of power system is summarized and prospected.
HE Shuaijia,RUAN Hebin,GAO Hongjun,et al.Overview On Theory Analysis and Application of Distributionally Robust OptimizationMethod in Power System[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20191022002.Copy