On-line monitoring of eigen-frequency and stability of power system by use of SMES
It is useful to grasp power system stability margin from on-line data in real time. We have proposed to estimate the system operating conditions from on-line data by use of superconducting magnetic energy storage (SMES) system. In this paper, we developed the proposed method to monitor the eigen-fre...
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| Veröffentlicht in: | International journal of electrical power & energy systems 2012-11, Vol.42 (1), p.473-477 |
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| container_title | International journal of electrical power & energy systems |
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| creator | Shirai, Yasuyuki Nitta, Tanzo Shibata, Katsuhiko |
| description | It is useful to grasp power system stability margin from on-line data in real time. We have proposed to estimate the system operating conditions from on-line data by use of superconducting magnetic energy storage (SMES) system. In this paper, we developed the proposed method to monitor the eigen-frequency of the power system in real time, which changes with time due to the system operating conditions (such as, generator output change), by use of a SMES and a lock-in amplifier. Basic experiments were carried out on an analogue-type power system simulator and a model SMES for the simulator. By use of the SMES, the eigen-frequency change according to the operating condition change was successfully measured, tracked and monitored on-line. The stability margin can be estimated by the monitored eigen-frequency. The availability of the proposed method is discussed on the experimental results. |
| doi_str_mv | 10.1016/j.ijepes.2012.03.052 |
| format | Article |
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We have proposed to estimate the system operating conditions from on-line data by use of superconducting magnetic energy storage (SMES) system. In this paper, we developed the proposed method to monitor the eigen-frequency of the power system in real time, which changes with time due to the system operating conditions (such as, generator output change), by use of a SMES and a lock-in amplifier. Basic experiments were carried out on an analogue-type power system simulator and a model SMES for the simulator. By use of the SMES, the eigen-frequency change according to the operating condition change was successfully measured, tracked and monitored on-line. The stability margin can be estimated by the monitored eigen-frequency. 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We have proposed to estimate the system operating conditions from on-line data by use of superconducting magnetic energy storage (SMES) system. In this paper, we developed the proposed method to monitor the eigen-frequency of the power system in real time, which changes with time due to the system operating conditions (such as, generator output change), by use of a SMES and a lock-in amplifier. Basic experiments were carried out on an analogue-type power system simulator and a model SMES for the simulator. By use of the SMES, the eigen-frequency change according to the operating condition change was successfully measured, tracked and monitored on-line. The stability margin can be estimated by the monitored eigen-frequency. The availability of the proposed method is discussed on the experimental results.</description><subject>Applied sciences</subject><subject>Computer simulation</subject><subject>Direct energy conversion and energy accumulation</subject><subject>Disturbances. Regulation. Protection</subject><subject>Eigen-frequency</subject><subject>Electric power generation</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Energy accumulation</subject><subject>Exact sciences and technology</subject><subject>Miscellaneous</subject><subject>Monitoring</subject><subject>Monitors</subject><subject>On-line monitoring</subject><subject>On-line systems</subject><subject>Power networks and lines</subject><subject>Power system simulator</subject><subject>Power system stability</subject><subject>Real time</subject><subject>SMES</subject><subject>Stability</subject><subject>Superconductivity</subject><subject>Theory. 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Regulation. Protection</topic><topic>Eigen-frequency</topic><topic>Electric power generation</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Energy accumulation</topic><topic>Exact sciences and technology</topic><topic>Miscellaneous</topic><topic>Monitoring</topic><topic>Monitors</topic><topic>On-line monitoring</topic><topic>On-line systems</topic><topic>Power networks and lines</topic><topic>Power system simulator</topic><topic>Power system stability</topic><topic>Real time</topic><topic>SMES</topic><topic>Stability</topic><topic>Superconductivity</topic><topic>Theory. Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shirai, Yasuyuki</creatorcontrib><creatorcontrib>Nitta, Tanzo</creatorcontrib><creatorcontrib>Shibata, Katsuhiko</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>International journal of electrical power & energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shirai, Yasuyuki</au><au>Nitta, Tanzo</au><au>Shibata, Katsuhiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On-line monitoring of eigen-frequency and stability of power system by use of SMES</atitle><jtitle>International journal of electrical power & energy systems</jtitle><date>2012-11-01</date><risdate>2012</risdate><volume>42</volume><issue>1</issue><spage>473</spage><epage>477</epage><pages>473-477</pages><issn>0142-0615</issn><eissn>1879-3517</eissn><coden>IEPSDC</coden><abstract>It is useful to grasp power system stability margin from on-line data in real time. We have proposed to estimate the system operating conditions from on-line data by use of superconducting magnetic energy storage (SMES) system. In this paper, we developed the proposed method to monitor the eigen-frequency of the power system in real time, which changes with time due to the system operating conditions (such as, generator output change), by use of a SMES and a lock-in amplifier. Basic experiments were carried out on an analogue-type power system simulator and a model SMES for the simulator. By use of the SMES, the eigen-frequency change according to the operating condition change was successfully measured, tracked and monitored on-line. The stability margin can be estimated by the monitored eigen-frequency. The availability of the proposed method is discussed on the experimental results.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijepes.2012.03.052</doi><tpages>5</tpages></addata></record> |
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| subjects | Applied sciences Computer simulation Direct energy conversion and energy accumulation Disturbances. Regulation. Protection Eigen-frequency Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Energy accumulation Exact sciences and technology Miscellaneous Monitoring Monitors On-line monitoring On-line systems Power networks and lines Power system simulator Power system stability Real time SMES Stability Superconductivity Theory. Simulation |
| title | On-line monitoring of eigen-frequency and stability of power system by use of SMES |
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