An assessment framework for branch parameter estimation of power systems
This paper proposes an assessment framework for branch parameter estimation of power systems, based on which the estima- tion accuracy can be improved and the estimation reliability can be ensured. The proposed framework comprises three parts: 1) Parameter credibility assessment to evaluate the cred...
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Veröffentlicht in: | Science China. Technological sciences 2012-06, Vol.55 (6), p.1631-1643 |
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container_title | Science China. Technological sciences |
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creator | Zhu, JianQuan Liu, Feng Mei, ShengWei He, GuangYu |
description | This paper proposes an assessment framework for branch parameter estimation of power systems, based on which the estima- tion accuracy can be improved and the estimation reliability can be ensured. The proposed framework comprises three parts: 1) Parameter credibility assessment to evaluate the credibility of original parameters in the case that their true values are unknown 2) estimation accuracy assessment to provide quantitative information about the validity of the estimation; 3) parameter domi- nance assessment to find out the key parameters for the estimation. This framework can be incorporated into the conventional parameter estimation process easily such that the accuracy and reliability of the estimation are improved. The implementation problems are addressed in details. Tests are carried out on the IEEE 14-bus system, IEEE 30-bus system, and IEEE 300-bus system to show the correctness and effectiveness of the proposed assessment framework. |
doi_str_mv | 10.1007/s11431-012-4757-1 |
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The proposed framework comprises three parts: 1) Parameter credibility assessment to evaluate the credibility of original parameters in the case that their true values are unknown 2) estimation accuracy assessment to provide quantitative information about the validity of the estimation; 3) parameter domi- nance assessment to find out the key parameters for the estimation. This framework can be incorporated into the conventional parameter estimation process easily such that the accuracy and reliability of the estimation are improved. The implementation problems are addressed in details. Tests are carried out on the IEEE 14-bus system, IEEE 30-bus system, and IEEE 300-bus system to show the correctness and effectiveness of the proposed assessment framework.</description><identifier>ISSN: 1674-7321</identifier><identifier>EISSN: 1869-1900</identifier><identifier>DOI: 10.1007/s11431-012-4757-1</identifier><language>eng</language><publisher>Heidelberg: SP Science China Press</publisher><subject>Assessments ; China ; Dominance ; Engineering ; IEEE ; Parameter estimation ; 关键参数 ; 参数估计 ; 框架包 ; 测量精度 ; 电力系统 ; 节点系统 ; 评估</subject><ispartof>Science China. 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Tests are carried out on the IEEE 14-bus system, IEEE 30-bus system, and IEEE 300-bus system to show the correctness and effectiveness of the proposed assessment framework.</description><subject>Assessments</subject><subject>China</subject><subject>Dominance</subject><subject>Engineering</subject><subject>IEEE</subject><subject>Parameter estimation</subject><subject>关键参数</subject><subject>参数估计</subject><subject>框架包</subject><subject>测量精度</subject><subject>电力系统</subject><subject>节点系统</subject><subject>评估</subject><issn>1674-7321</issn><issn>1869-1900</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9UE1LAzEQXUTBUvsDvK03L9FMkm6yx1LUCgUveg5Jmu2H3WSb2VL6701Z8ehcZni8NzPvFcU90CegVD4jgOBAKDAi5FQSuCpGoKqaQE3pdZ4rKYjkDG6LCeKO5uKqpiBGxWIWSoPoEVsf-rJJpvWnmL7LJqbSJhPcpuzMBe19Kj3229b02xjK2JRdPGUMz9j7Fu-Km8bs0U9--7j4en35nC_I8uPtfT5bEseF7IlTFZsyyqbSKyWlU1YYL0E5JZ2gleNWKONsxSQ3asWZr1ecWmtFDbWljPJx8Tjs7VI8HPNDut2i8_u9CT4eUWevwBVIqDIVBqpLETH5Rncpv5_OGqi-BKeH4HQOTl-C05A1bNBg5oa1T3oXjylkR_-KHn4PbWJYH7Lu75IARZmUnP8A3wd7GA</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Zhu, JianQuan</creator><creator>Liu, Feng</creator><creator>Mei, ShengWei</creator><creator>He, GuangYu</creator><general>SP Science China Press</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>20120601</creationdate><title>An assessment framework for branch parameter estimation of power systems</title><author>Zhu, JianQuan ; Liu, Feng ; Mei, ShengWei ; He, GuangYu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-c862520257e8877c8b4ae718c87c406c3b48acb6273a8d32e9d30bbb4919b0203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Assessments</topic><topic>China</topic><topic>Dominance</topic><topic>Engineering</topic><topic>IEEE</topic><topic>Parameter estimation</topic><topic>关键参数</topic><topic>参数估计</topic><topic>框架包</topic><topic>测量精度</topic><topic>电力系统</topic><topic>节点系统</topic><topic>评估</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, JianQuan</creatorcontrib><creatorcontrib>Liu, Feng</creatorcontrib><creatorcontrib>Mei, ShengWei</creatorcontrib><creatorcontrib>He, GuangYu</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Science China. 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subjects | Assessments China Dominance Engineering IEEE Parameter estimation 关键参数 参数估计 框架包 测量精度 电力系统 节点系统 评估 |
title | An assessment framework for branch parameter estimation of power systems |
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