Multi-stage distributionally robust planning of energy storage capacity considering flexibility

被引：0

作者：

Zhu X. ^{[1
]}

Shan Y. ^{[1
]}

机构：

[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 06期

关键词：

capacity configuration; distributionally robust optimization; electric power systems; energy storage; flexibility; multi-time scale coordinated planning; uncertainty;

D O I：

10.16081/j.epae.202206007

中图分类号：

学科分类号：

摘要：

As a flexible resource，energy storage plays a role in promoting the consumption of new energy and the safe and stable operation of power system. However，limited by the investment cost of energy storage，it is difficult to meet the system flexibility requirements only relying on large-scale energy storage. Therefore，a capacity planning model of energy storage in the power system considering flexibility is proposed，which takes into account the influence of the existing adjustable traditional generating units on the flexibility，and uses the distributionally robust opportunity constraints to describe the uncertainty of new energy output. According to the operation characteristics of the system at different time scales，comprehensively considering the investment cost of energy storage，the uncertainty of new energy output and the system operation flexibility，a multi-time scale energy storage configuration model is established. The multi-stage iterative linear optimization method is used to improve the solution efficiency. Taking the IEEE-RTS 24-bus system as an example，the analysis results show that the proposed method has good economy and robustness in solving the configuration capacity of energy storage. © 2023 Electric Power Automation Equipment Press. All rights reserved.

引用

页码：152 / 159and167