Cascading Outage Analyses by Integrating Distribution Factor Method With AC Power Flow
Cascading failure may incur catastrophic consequences. The high order and non-simultaneousness properties are the leading causes for the massive power flow (PF) calculations of the online static security assessment (SSA). Current PF models fail to satisfy the requirements for accuracy, speed, and ro...
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| Veröffentlicht in: | IEEE access 2019, Vol.7, p.180887-180897 |
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| creator | Liu, Yun Xue, Yusheng |
| description | Cascading failure may incur catastrophic consequences. The high order and non-simultaneousness properties are the leading causes for the massive power flow (PF) calculations of the online static security assessment (SSA). Current PF models fail to satisfy the requirements for accuracy, speed, and robustness. This paper proposes a novel method where line outage distribution factor (LODF) model and AC model are coordinated by a binary classifier. The classifier determines the feasibility of LODF model in a specific case by evaluating its potential error. Cases are preferred to be analyzed by LODF model, while the ones with large potential errors will be analyzed by AC model. Case studies of three IEEE systems and the Texas 2000-bus system are given to verify the effectiveness, flexibility, and robustness of the proposed method. |
| doi_str_mv | 10.1109/ACCESS.2019.2958960 |
| format | Article |
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The high order and non-simultaneousness properties are the leading causes for the massive power flow (PF) calculations of the online static security assessment (SSA). Current PF models fail to satisfy the requirements for accuracy, speed, and robustness. This paper proposes a novel method where line outage distribution factor (LODF) model and AC model are coordinated by a binary classifier. The classifier determines the feasibility of LODF model in a specific case by evaluating its potential error. Cases are preferred to be analyzed by LODF model, while the ones with large potential errors will be analyzed by AC model. 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The high order and non-simultaneousness properties are the leading causes for the massive power flow (PF) calculations of the online static security assessment (SSA). Current PF models fail to satisfy the requirements for accuracy, speed, and robustness. This paper proposes a novel method where line outage distribution factor (LODF) model and AC model are coordinated by a binary classifier. The classifier determines the feasibility of LODF model in a specific case by evaluating its potential error. Cases are preferred to be analyzed by LODF model, while the ones with large potential errors will be analyzed by AC model. Case studies of three IEEE systems and the Texas 2000-bus system are given to verify the effectiveness, flexibility, and robustness of the proposed method.</description><subject>Adaptation models</subject><subject>Analytical models</subject><subject>Biological system modeling</subject><subject>Cascading outages</subject><subject>Catastrophic failure analysis</subject><subject>classifier</subject><subject>Classifiers</subject><subject>Computational modeling</subject><subject>Error analysis</subject><subject>feature</subject><subject>Manganese</subject><subject>Mathematical model</subject><subject>Power flow</subject><subject>power flow calculation</subject><subject>Power systems</subject><subject>Robustness</subject><subject>System effectiveness</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUVtLYzEQPiwurLj-Al8C-9ya--WxHK0WXFxwL48hJ5nUlNpokiL99556RHZe5vp9w8zXdRcEzwnB5nLR99cPD3OKiZlTI7SR-Et3Sok0MyaYPPkv_tad17rBo-mxJNRp97d31buQdmt0v29uDWixc9tDhYqGA1rtGqyLa8f2VaqtpGHfUt6hpfMtF_QT2mMO6F9qj2jRo1_5FQpabvPr9-5rdNsK5x_-rPuzvP7d387u7m9W_eJu5jnWbeYFC0qqQTnCnATOA6NBBc2VcDEcMx4JBjCO-SCiGTx3GjxTVDNiQLOzbjXxhuw29rmkJ1cONrtk3wu5rK0rLfkt2EijHARQJlTkQWEdgzKEDyzQQUmQI9ePieu55Jc91GY3eV_Gb1RLuRASa03UOMWmKV9yrQXi51aC7VEPO-lhj3rYDz1G1MWESgDwidBmPFBy9ga17YYB</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Liu, Yun</creator><creator>Xue, Yusheng</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The high order and non-simultaneousness properties are the leading causes for the massive power flow (PF) calculations of the online static security assessment (SSA). Current PF models fail to satisfy the requirements for accuracy, speed, and robustness. This paper proposes a novel method where line outage distribution factor (LODF) model and AC model are coordinated by a binary classifier. The classifier determines the feasibility of LODF model in a specific case by evaluating its potential error. Cases are preferred to be analyzed by LODF model, while the ones with large potential errors will be analyzed by AC model. 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| subjects | Adaptation models Analytical models Biological system modeling Cascading outages Catastrophic failure analysis classifier Classifiers Computational modeling Error analysis feature Manganese Mathematical model Power flow power flow calculation Power systems Robustness System effectiveness |
| title | Cascading Outage Analyses by Integrating Distribution Factor Method With AC Power Flow |
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