A Distributionally Robust Coordinated Optimization Scheduling of Integrated Electricity and Natural Gas Systems Considering Higher-Order Uncertainty of Wind Power

被引：0

作者：

Zhang Y. ^{[1
]}

Zheng F. ^{[1
]}

Le J. ^{[2
]}

Shu S. ^{[1
]}

Zhu S. ^{[2
]}

Huang Z. ^{[1
]}

机构：

[1] Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou

[2] School of Electrical Engineering and Automation, Wuhan University, Wuhan

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 24期

基金：

中国国家自然科学基金;

关键词：

Affine adjustable strategy with dual factors; Confidence bands for probability density function; Distributionally robust optimization; Higher-order uncertainty; Integrated electricity and gas energy system;

D O I：

10.13334/j.0258-8013.pcsee.191354

中图分类号：

学科分类号：

摘要：

Large-scale wind power integration in power system and the continuous expansion of gas-fired unit installation has intensified the interdependency between power grid and natural gas network increasingly. The cooperative operation of electricity-gas dual-network coupled system has provided a new way for wind energy accommodation. In view of higher-order uncertainties of wind power caused by the inaccuracy of historical sample data and the incompleteness of probability distribution modeling, a distributionally robust coordinated optimization scheduling model considering the uncertainty of wind power probability distribution was proposed for integrated electricity and gas energy system. Firstly, an ambiguity set of uncertainties was constructed based on the confidence bands for probability density functions of wind power output. On this basis, a two-stage distributionally robust economic dispatch master problem for power system was established by combining the affine adjustable strategy with dual factors. Moreover, the above optimization problem with uncertainties in the form of min-max was transformed into a mixed integer linear programming problem. Secondly, the operation feasibility check subproblems for natural gas system considering the availability of gas-fired unit reserve configuration were built. Thirdly, a cooperative framework for iteratively solving of master problem and subproblems was developed, in which information interaction and game was carried out by the decision variables of coupling components and infeasible constraint set to achieve the coordination optimization scheduling of power and natural gas systems. Finally, the simulation results on three test systems with different scales demonstrated the effectiveness of the proposed model and approach. © 2020 Chin. Soc. for Elec. Eng.

引用

页码：8012 / 8026

页数：14

共 32 条

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