A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm
This paper presents an approach for designing power system stabilizers (PSS) with a fuzzy logic based parameter tuner. In the initial design step, Prony analysis is used to identify linear models for the synchronous generator at a large number of operating points, consisting of various power outputs...
Gespeichert in:
| Veröffentlicht in: | Electric power systems research 2001-12, Vol.60 (2), p.77-83 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 83 |
|---|---|
| container_issue | 2 |
| container_start_page | 77 |
| container_title | Electric power systems research |
| container_volume | 60 |
| creator | Lu, J. Nehrir, M.H. Pierre, D.A. |
| description | This paper presents an approach for designing power system stabilizers (PSS) with a fuzzy logic based parameter tuner. In the initial design step, Prony analysis is used to identify linear models for the synchronous generator at a large number of operating points, consisting of various power outputs and machine terminal voltages. Next, optimal parameter settings for a conventional PSS are generated using the linearized models. From the operating point settings, a selection of fuzzy rules is used to tune the stabilizer parameters online according to real-time measurements. The membership functions of the fuzzy parameter tuner are optimized using a genetic algorithm (GA). Simulation studies show that the proposed stabilizer performs well over a wide range of operating conditions and provides better dynamic performance than a fixed parameter PSS. |
| doi_str_mv | 10.1016/S0378-7796(01)00170-5 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_26757758</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0378779601001705</els_id><sourcerecordid>26757758</sourcerecordid><originalsourceid>FETCH-LOGICAL-c338t-e47da951f5de84d3bb94d3c387268beab92a71b71cb95fae4831bd83f611f83f3</originalsourceid><addsrcrecordid>eNqFkEtLAzEUhYMoWKs_QchKdDGaTCaTzEpK8QUFF-rGTUgyd8bIvExSS_vrnbbi1s09l8M5F-6H0Dkl15TQ_OaFMCETIYr8ktArQqggCT9AEyoFS1KS5Ydo8hc5RichfBJC8kLwCXqf4Wq52axx09fOJkYHKHGApsJx2bmuxkO_Ao_DOkRocYjauMZtRqcfomvHrcQrFz-wxjV0EJ3Fuql7P1rtKTqqdBPg7Fen6O3-7nX-mCyeH57ms0ViGZMxgUyUuuC04iXIrGTGFOO0TIo0lwa0KVItqBHUmoJXGjLJqCklq3JKq1HYFF3s7w6-_1pCiKp1wULT6A76ZVBpLrgQXI5Bvg9a34fgoVKDd632a0WJ2pJUO5Jqi0kRqnYkFR97t_sejF98O_AqWAedhdJ5sFGVvfvnwg9JzHzf</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>26757758</pqid></control><display><type>article</type><title>A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Lu, J. ; Nehrir, M.H. ; Pierre, D.A.</creator><creatorcontrib>Lu, J. ; Nehrir, M.H. ; Pierre, D.A.</creatorcontrib><description>This paper presents an approach for designing power system stabilizers (PSS) with a fuzzy logic based parameter tuner. In the initial design step, Prony analysis is used to identify linear models for the synchronous generator at a large number of operating points, consisting of various power outputs and machine terminal voltages. Next, optimal parameter settings for a conventional PSS are generated using the linearized models. From the operating point settings, a selection of fuzzy rules is used to tune the stabilizer parameters online according to real-time measurements. The membership functions of the fuzzy parameter tuner are optimized using a genetic algorithm (GA). Simulation studies show that the proposed stabilizer performs well over a wide range of operating conditions and provides better dynamic performance than a fixed parameter PSS.</description><identifier>ISSN: 0378-7796</identifier><identifier>EISSN: 1873-2046</identifier><identifier>DOI: 10.1016/S0378-7796(01)00170-5</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Fuzzy logic ; Genetic algorithms ; Power system stabilizer ; Prony analysis</subject><ispartof>Electric power systems research, 2001-12, Vol.60 (2), p.77-83</ispartof><rights>2002 Elsevier Science B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c338t-e47da951f5de84d3bb94d3c387268beab92a71b71cb95fae4831bd83f611f83f3</citedby><cites>FETCH-LOGICAL-c338t-e47da951f5de84d3bb94d3c387268beab92a71b71cb95fae4831bd83f611f83f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0378779601001705$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Lu, J.</creatorcontrib><creatorcontrib>Nehrir, M.H.</creatorcontrib><creatorcontrib>Pierre, D.A.</creatorcontrib><title>A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm</title><title>Electric power systems research</title><description>This paper presents an approach for designing power system stabilizers (PSS) with a fuzzy logic based parameter tuner. In the initial design step, Prony analysis is used to identify linear models for the synchronous generator at a large number of operating points, consisting of various power outputs and machine terminal voltages. Next, optimal parameter settings for a conventional PSS are generated using the linearized models. From the operating point settings, a selection of fuzzy rules is used to tune the stabilizer parameters online according to real-time measurements. The membership functions of the fuzzy parameter tuner are optimized using a genetic algorithm (GA). Simulation studies show that the proposed stabilizer performs well over a wide range of operating conditions and provides better dynamic performance than a fixed parameter PSS.</description><subject>Fuzzy logic</subject><subject>Genetic algorithms</subject><subject>Power system stabilizer</subject><subject>Prony analysis</subject><issn>0378-7796</issn><issn>1873-2046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLAzEUhYMoWKs_QchKdDGaTCaTzEpK8QUFF-rGTUgyd8bIvExSS_vrnbbi1s09l8M5F-6H0Dkl15TQ_OaFMCETIYr8ktArQqggCT9AEyoFS1KS5Ydo8hc5RichfBJC8kLwCXqf4Wq52axx09fOJkYHKHGApsJx2bmuxkO_Ao_DOkRocYjauMZtRqcfomvHrcQrFz-wxjV0EJ3Fuql7P1rtKTqqdBPg7Fen6O3-7nX-mCyeH57ms0ViGZMxgUyUuuC04iXIrGTGFOO0TIo0lwa0KVItqBHUmoJXGjLJqCklq3JKq1HYFF3s7w6-_1pCiKp1wULT6A76ZVBpLrgQXI5Bvg9a34fgoVKDd632a0WJ2pJUO5Jqi0kRqnYkFR97t_sejF98O_AqWAedhdJ5sFGVvfvnwg9JzHzf</recordid><startdate>20011228</startdate><enddate>20011228</enddate><creator>Lu, J.</creator><creator>Nehrir, M.H.</creator><creator>Pierre, D.A.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20011228</creationdate><title>A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm</title><author>Lu, J. ; Nehrir, M.H. ; Pierre, D.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-e47da951f5de84d3bb94d3c387268beab92a71b71cb95fae4831bd83f611f83f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Fuzzy logic</topic><topic>Genetic algorithms</topic><topic>Power system stabilizer</topic><topic>Prony analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, J.</creatorcontrib><creatorcontrib>Nehrir, M.H.</creatorcontrib><creatorcontrib>Pierre, D.A.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Electric power systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, J.</au><au>Nehrir, M.H.</au><au>Pierre, D.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm</atitle><jtitle>Electric power systems research</jtitle><date>2001-12-28</date><risdate>2001</risdate><volume>60</volume><issue>2</issue><spage>77</spage><epage>83</epage><pages>77-83</pages><issn>0378-7796</issn><eissn>1873-2046</eissn><abstract>This paper presents an approach for designing power system stabilizers (PSS) with a fuzzy logic based parameter tuner. In the initial design step, Prony analysis is used to identify linear models for the synchronous generator at a large number of operating points, consisting of various power outputs and machine terminal voltages. Next, optimal parameter settings for a conventional PSS are generated using the linearized models. From the operating point settings, a selection of fuzzy rules is used to tune the stabilizer parameters online according to real-time measurements. The membership functions of the fuzzy parameter tuner are optimized using a genetic algorithm (GA). Simulation studies show that the proposed stabilizer performs well over a wide range of operating conditions and provides better dynamic performance than a fixed parameter PSS.</abstract><pub>Elsevier B.V</pub><doi>10.1016/S0378-7796(01)00170-5</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0378-7796 |
| ispartof | Electric power systems research, 2001-12, Vol.60 (2), p.77-83 |
| issn | 0378-7796 1873-2046 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_26757758 |
| source | Elsevier ScienceDirect Journals Complete |
| subjects | Fuzzy logic Genetic algorithms Power system stabilizer Prony analysis |
| title | A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T20%3A11%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20fuzzy%20logic-based%20self%20tuning%20power%20system%20stabilizer%20optimized%20with%20a%20genetic%20algorithm&rft.jtitle=Electric%20power%20systems%20research&rft.au=Lu,%20J.&rft.date=2001-12-28&rft.volume=60&rft.issue=2&rft.spage=77&rft.epage=83&rft.pages=77-83&rft.issn=0378-7796&rft.eissn=1873-2046&rft_id=info:doi/10.1016/S0378-7796(01)00170-5&rft_dat=%3Cproquest_cross%3E26757758%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=26757758&rft_id=info:pmid/&rft_els_id=S0378779601001705&rfr_iscdi=true |