Assessment of Renewable Energy Accommodation Capability Based on Typical Scenario Construction

被引：0
|
作者：
Zhang, Xiaocong [2 ]
Chen, Chen [3 ]
Yu, Ruoying [1 ]
Chen, Ning [1 ]
Fan, Junjie [4 ]
Zhan, Wenda [2 ]
机构：
[1] China Elect Power Res Inst, State Key Lab Operat & Control Renewable Energy &, Nanjing 210003, Peoples R China
[2] State Grid Zhejiang Elect Power Co LTD, Hangzhou 310007, Peoples R China
[3] Southeast Univ, Nanjing 210096, Peoples R China
[4] State Grid Jiaxing Elect Power Supply Co, Jiaxing 314000, Peoples R China
来源：
2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019) | 2019年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the rapid growth of renewable energy generation, curtailment condition of wind and photovoltaic power has grown significantly and become a serious problem. In this context, this paper proposes a new method to evaluate renewable power accommodation capability based on typical scenario construction. Improved FCM clustering algorithm is used to screen raw photovoltaic and wind power generation data and construct different generation scene to improving the accuracy and efficiency of computation. The renewable energy accommodation capabilities of different typical scenarios were assessed in this paper. Taking province in east China as an example, renewable power accommodation capabilities of typical scenarios in 2018 are assessed. The simulation results show that the optimization method based on typical scenario construction can promote the efficiency and validity of renewable energy accommodation capability assessment.
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收藏
页码：570 / 574
页数：5
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