A robust interval scheduling model and method accommodating large-scale wind power generation for integrated electric and gas system

被引：0

作者：

Wang W.-R. ^{[1
]}

Qu K.-P. ^{[1
]}

Yu T. ^{[1
]}

Wang K.-Y. ^{[1
]}

Shi S.-Y. ^{[1
]}

机构：

[1] School of Electric Power, South China University of Technology, Guangzhou, 510640, Guangdong

来源：

Yu, Tao (taoyu1@scut.edu.cn) | 1600年 / South China University of Technology卷 / 37期

基金：

中国国家自然科学基金;

关键词：

Constraints of gas network; Convex relaxation; Forecast interval of wind power; Integrated electric and gas system; Robust optimization;

D O I：

10.7641/CTA.2019.90089

中图分类号：

学科分类号：

摘要：

When the existing integrated electric and gas system utilizes the rapid adjustment capacity of gas-fired units to deal with wind power output fluctuations, it is difficult to consider the impact on the operation constraints of gas network, and the ability of power to gas (P2G) device to further accommodate wind power is often neglected. To solve the above problem, this paper establishes a interval scheduling model considering that gas-fired unit and P2G device tracks wind power fluctuations. While maximizing the wind power accommodation interval, the proposed model converts the allowable output range of the gas unit and P2G device into the maximum and minimum intake of gas amount to further verify the feasibility of the gas network. In order to further expand the wind power accommodation interval, this paper takes the wind power undertaking coefficient of the unit and P2G device as variables and relaxes the nonlinear term introduced thereby. Finally, Monte Carlo simulation is carried out for each case scenario by using a dayafter correction model with re-adjustment, which verifies the effectiveness of the model and method presented in this paper. © 2020, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.

引用

页码：1270 / 1283

页数：13

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