Generalized observability analysis and measurement classification
Network observability analysis is formulated in a way to incorporate the conventional as well as unconventional measurements, including line currents. This formulation has two essential advantages over the existing methods of network observability analysis: (1) it detects not only unobservability bu...
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| Veröffentlicht in: | IEEE transactions on power systems 1998-08, Vol.13 (3), p.1090-1095 |
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| container_end_page | 1095 |
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| container_title | IEEE transactions on power systems |
| container_volume | 13 |
| creator | Exposito, A.G. Abur, A. |
| description | Network observability analysis is formulated in a way to incorporate the conventional as well as unconventional measurements, including line currents. This formulation has two essential advantages over the existing methods of network observability analysis: (1) it detects not only unobservability but also uniqueness of the observed state, (2) it can directly identify the unobservable or nonuniquely observable branches without having to remove the irrelevant injections in an iterative manner. In addition, unlike the numerical observability analysis methods proposed so far, it can readily identify residual spread components and critical measurements. The proposed formulation is implemented and tested on sample power systems. |
| doi_str_mv | 10.1109/59.709104 |
| format | Article |
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This formulation has two essential advantages over the existing methods of network observability analysis: (1) it detects not only unobservability but also uniqueness of the observed state, (2) it can directly identify the unobservable or nonuniquely observable branches without having to remove the irrelevant injections in an iterative manner. In addition, unlike the numerical observability analysis methods proposed so far, it can readily identify residual spread components and critical measurements. The proposed formulation is implemented and tested on sample power systems.</description><subject>Applied sciences</subject><subject>Circuit testing</subject><subject>Current measurement</subject><subject>Disturbances. Regulation. Protection</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Exact sciences and technology</subject><subject>Gain measurement</subject><subject>Jacobian matrices</subject><subject>Observability</subject><subject>Power networks and lines</subject><subject>Power system analysis computing</subject><subject>Power system measurements</subject><subject>Power system modeling</subject><subject>Sparse matrices</subject><subject>State estimation</subject><subject>Theory. 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Regulation. Protection</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Exact sciences and technology</topic><topic>Gain measurement</topic><topic>Jacobian matrices</topic><topic>Observability</topic><topic>Power networks and lines</topic><topic>Power system analysis computing</topic><topic>Power system measurements</topic><topic>Power system modeling</topic><topic>Sparse matrices</topic><topic>State estimation</topic><topic>Theory. Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Exposito, A.G.</creatorcontrib><creatorcontrib>Abur, A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Exposito, A.G.</au><au>Abur, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Generalized observability analysis and measurement classification</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>1998-08-01</date><risdate>1998</risdate><volume>13</volume><issue>3</issue><spage>1090</spage><epage>1095</epage><pages>1090-1095</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>Network observability analysis is formulated in a way to incorporate the conventional as well as unconventional measurements, including line currents. This formulation has two essential advantages over the existing methods of network observability analysis: (1) it detects not only unobservability but also uniqueness of the observed state, (2) it can directly identify the unobservable or nonuniquely observable branches without having to remove the irrelevant injections in an iterative manner. In addition, unlike the numerical observability analysis methods proposed so far, it can readily identify residual spread components and critical measurements. The proposed formulation is implemented and tested on sample power systems.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/59.709104</doi><tpages>6</tpages></addata></record> |
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| ispartof | IEEE transactions on power systems, 1998-08, Vol.13 (3), p.1090-1095 |
| issn | 0885-8950 1558-0679 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_28321947 |
| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Circuit testing Current measurement Disturbances. Regulation. Protection Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Gain measurement Jacobian matrices Observability Power networks and lines Power system analysis computing Power system measurements Power system modeling Sparse matrices State estimation Theory. Simulation |
| title | Generalized observability analysis and measurement classification |
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