Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems
With the increasing integration of inverter-based resources into the power grid, there has been a notable reduction in system inertia, potentially compromising frequency stability. To assess the suitability of existing area inertia estimation techniques for real-world power systems, this paper prese...
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creator | Tan, Bendong Peng, Jiangkai Gao, Ningchao Zhao, Junbo Tan, Jin |
description | With the increasing integration of inverter-based resources into the power
grid, there has been a notable reduction in system inertia, potentially
compromising frequency stability. To assess the suitability of existing area
inertia estimation techniques for real-world power systems, this paper presents
a rigorous comparative analysis of system identification, measurement
reconstruction, and electromechanical oscillation-based area inertia estimation
methodologies, specifically applied to the large-scale and multi-area WECC
240-bus power system. Comprehensive results show that the system
identification-based approach exhibits superior robustness and accuracy
relative to its counterparts. |
doi_str_mv | 10.48550/arxiv.2408.00511 |
format | Article |
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grid, there has been a notable reduction in system inertia, potentially
compromising frequency stability. To assess the suitability of existing area
inertia estimation techniques for real-world power systems, this paper presents
a rigorous comparative analysis of system identification, measurement
reconstruction, and electromechanical oscillation-based area inertia estimation
methodologies, specifically applied to the large-scale and multi-area WECC
240-bus power system. Comprehensive results show that the system
identification-based approach exhibits superior robustness and accuracy
relative to its counterparts.</description><identifier>DOI: 10.48550/arxiv.2408.00511</identifier><language>eng</language><subject>Computer Science - Systems and Control</subject><creationdate>2024-08</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2408.00511$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2408.00511$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Tan, Bendong</creatorcontrib><creatorcontrib>Peng, Jiangkai</creatorcontrib><creatorcontrib>Gao, Ningchao</creatorcontrib><creatorcontrib>Zhao, Junbo</creatorcontrib><creatorcontrib>Tan, Jin</creatorcontrib><title>Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems</title><description>With the increasing integration of inverter-based resources into the power
grid, there has been a notable reduction in system inertia, potentially
compromising frequency stability. To assess the suitability of existing area
inertia estimation techniques for real-world power systems, this paper presents
a rigorous comparative analysis of system identification, measurement
reconstruction, and electromechanical oscillation-based area inertia estimation
methodologies, specifically applied to the large-scale and multi-area WECC
240-bus power system. Comprehensive results show that the system
identification-based approach exhibits superior robustness and accuracy
relative to its counterparts.</description><subject>Computer Science - Systems and Control</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjsEKwjAQRHPxIOoHeHJ_oDXVFnqVWNGboCCeymK3GLBN2MRq_95YvHsaZngMT4h5IuM0zzK5RH7rLl6lMo-lzJJkLK7KNBYZve4ITv5Z9WBq2KLHqOKwtbBhQji0xF4jFM7rJsAm7NaywdudHIR2KZSCo3kRw6l3nho3FaMaH45mv5yIxa44q300SJSWwxH35VemHGTW_4kPG8o_MA</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Tan, Bendong</creator><creator>Peng, Jiangkai</creator><creator>Gao, Ningchao</creator><creator>Zhao, Junbo</creator><creator>Tan, Jin</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240801</creationdate><title>Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems</title><author>Tan, Bendong ; Peng, Jiangkai ; Gao, Ningchao ; Zhao, Junbo ; Tan, Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2408_005113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Systems and Control</topic><toplevel>online_resources</toplevel><creatorcontrib>Tan, Bendong</creatorcontrib><creatorcontrib>Peng, Jiangkai</creatorcontrib><creatorcontrib>Gao, Ningchao</creatorcontrib><creatorcontrib>Zhao, Junbo</creatorcontrib><creatorcontrib>Tan, Jin</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tan, Bendong</au><au>Peng, Jiangkai</au><au>Gao, Ningchao</au><au>Zhao, Junbo</au><au>Tan, Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems</atitle><date>2024-08-01</date><risdate>2024</risdate><abstract>With the increasing integration of inverter-based resources into the power
grid, there has been a notable reduction in system inertia, potentially
compromising frequency stability. To assess the suitability of existing area
inertia estimation techniques for real-world power systems, this paper presents
a rigorous comparative analysis of system identification, measurement
reconstruction, and electromechanical oscillation-based area inertia estimation
methodologies, specifically applied to the large-scale and multi-area WECC
240-bus power system. Comprehensive results show that the system
identification-based approach exhibits superior robustness and accuracy
relative to its counterparts.</abstract><doi>10.48550/arxiv.2408.00511</doi><oa>free_for_read</oa></addata></record> |
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title | Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems |
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