The Study of Distributionally Robust Optimization for Integrated Electric-Gas Distribution System with Demand Response Uncertainty

被引：0

作者：

Hu, Yangyu ^{[1
]}

Huo, Shuai ^{[1
]}

Liu, Fang ^{[1
]}

Yang, Mingjie ^{[1
]}

Niu, Yao ^{[1
]}

Zeng, Jie ^{[2
]}

Tong, Xiaoyang ^{[2
]}

机构：

[1] State Grid Jiaozuo Elect Power Supply Co, Jiaozuo, Henan, Peoples R China

[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Peoples R China

来源：

2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022) | 2022年

关键词：

demand response; chance constraints; distributionally robust; Wasserstein distance; FLOW;

D O I：

10.1109/AEEES54426.2022.9759827

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The uncertainty of demand response as well as dynamic pipeline storage of natural gas brings great challenges to the integrated electric-gas distribution system. This paper proposes three different uncertain demand response loads, such as reducible, transferable, and replaceable loads. Considering the uncertainty demand response in electrical and gas loads, a dynamic distribution robust optimization model based on Wasserstein metric of uncertain variable. Combined with the chance constraints, this model restricts the inequality to a certain probability confidence interval to further improve the stability of the model. With the modified 33-bus electric distribution system coupling with 20-bus gas distribution system, the simulation results illustrate the proposed model can effectively reduce the comprehensive cost and improve the consumption capacity of wind power.

引用

页码：801 / 806

页数：6

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