Robust-stochastic Reserve Optimization Considering Uncertainties of Failure Probability and Net Load

被引：0

作者：

Li R. ^{[1
]}

Wang M. ^{[1
]}

Yang M. ^{[1
]}

Wang M. ^{[1
]}

Wang W. ^{[1
]}

机构：

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

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 06期

关键词：

Failure probability; Renewable energy; Reserve optimization; Robust optimization; Stochastic optimization; Uncertainty;

D O I：

10.7500/AEPS20210523001

中图分类号：

学科分类号：

摘要：

The configuration of the reserve is to deal with the uncertainties of possible equipment failures, loads and renewable energy output in the power system. The provision of the adequate reserve for systems is a necessary condition to ensure the safe and economical operation of power systems. In the traditional reserve decision-making methods, the uncertainty of failure probability is ignored in some degrees. Therefore, a robust-stochastic reserve optimization model is proposed to consider the failure probability of equipment and the uncertainty of net load simultaneously. In this model, the net load uncertainty and equipment failure probability uncertainty caused by wind power and load are uniformly described by intervals. And the dual theory, epigraph reformulation and Karush-Kuhn-Tucker (KKT) conditions are adopted to solve the model. Finally, the effectiveness and validity of the proposed method are verified on the IEEE-RTS 24-bus system. © 2022 Automation of Electric Power Systems Press.

引用

页码：20 / 29

页数：9

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