Distributionally Robust Unit Commitment Based on Imprecise Dirichlet Model

被引：0

作者：

Zhang Y. ^{[1
]}

Han X. ^{[1
]}

Yang M. ^{[1
]}

Wang M. ^{[1
]}

Zhang L. ^{[1
]}

Ye P. ^{[1
]}

Xu B. ^{[2
]}

机构：

[1] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan, 250061, Shandong Province

[2] State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 17期

基金：

中国国家自然科学基金;

关键词：

Adaptive robust unit commitment; Ambiguity set; Column and constraint generation algorithm; Distributional uncertainty; Imprecise Dirichlet model;

D O I：

10.13334/j.0258-8013.pcsee.181279

中图分类号：

学科分类号：

摘要：

Cope with the uncertainty of wind power in the decision-making of unit commitment (UC), the stochastic process of wind power is difficult to express for exact probability density and distribution function. In order to solve this problem, a distributionally robust unit commitment optimization model and solving method based on imprecise Dirichlet model (IDM) was proposed. The core of this method is as follows. Firstly, based on historical information, IDM is adopted to construct ambiguity set containing all possible probability distributions of wind power. Secondly, according to the ambiguity set, the uncertainty interval of wind power was deduced at a certain confidence level. In this way, it can be connected with the traditional adaptive robust optimization model. Therefore, the distributionally robust optimization decision model was constructed, which was solved by C&CG (column and constraint generation) algorithm. Finally, case studies on the modified IEEE 118 bus system demonstrates the effectiveness and efficiency of the proposed method. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：5074 / 5084

页数：10

共 39 条

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