Title | ||
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On-Line Static Voltage Security Risk Assessment Based On Markov Chain Model And Svm For Wind Integrated Power System |
Abstract | ||
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With the increase of wind power penetration rate, the effect of large-scale wind power influence on static voltage security of power grid is gradually significant. The fluctuation of wind power output will lead to the possibility of voltage instability. To deal with static voltage security risk caused by wind power, this paper proposes an online assessment method. Firstly, the relationship between security limitation and power flow status is trained offline through GA-SVM from continuation power flow (CPF) sample. Secondly, wind power probabilistic forecasting carry out online through fluctuation variation Markov Chain model. Finally, static voltage security risk is assessed online by calculating operation status probability and distance to security limitation. The validity of proposed method is proved by IEEE 9 bus system. |
Year | Venue | Keywords |
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2017 | 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | Wind Energy, Risk Assessment, On-line Computation, GA-SVM, Markov Chain |
Field | DocType | Citations |
Mathematical optimization,Computer science,Control theory,Markov chain,Continuation,Voltage,Support vector machine,Electric power system,Risk management,Probabilistic forecasting,Wind power | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhihao Yun | 1 | 0 | 0.68 |
Qiong Zhou | 2 | 0 | 0.34 |
Ying Feng | 3 | 6 | 3.54 |
Donglei Sun | 4 | 0 | 1.01 |
Jingwen Sun | 5 | 0 | 0.34 |
Dong Yang | 6 | 116 | 18.09 |