Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm
This article presents a novel method for identification of synchronous generator parameters that is based on sudden short-circuit test data and a novel metaheuristic algorithm, called the adaptive black widow optimization algorithm. Unlike traditional methods defined by IEEE and International Electr...
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| Veröffentlicht in: | IEEE access 2020, Vol.8, p.207537-207550 |
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| creator | Micev, Mihailo Calasan, Martin Petrovic, Dragan S. Ali, Ziad M. Quynh, Nguyen Vu Abdel Aleem, Shady H. E. |
| description | This article presents a novel method for identification of synchronous generator parameters that is based on sudden short-circuit test data and a novel metaheuristic algorithm, called the adaptive black widow optimization algorithm. Unlike traditional methods defined by IEEE and International Electrotechnical Commission (IEC) standards, which rely on the armature current oscillogram, the method proposed in this article uses the field current waveform during the short-circuit test. Moreover, the standard graphical method for extraction of the generator parameters is replaced by an effective metaheuristic algorithm. The proposed algorithm tends to minimize the normalized sum of squared errors (NSSE) between simulation and experimental results. The applicability and accuracy of the proposed optimization technique are verified using experimentally obtained results from a 100-MVA synchronous generator at the Bajina Basta hydropower plant. |
| doi_str_mv | 10.1109/ACCESS.2020.3037510 |
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(IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-6634d5570ea452b96ef60b3cdd895c5d21137cd7c46c31b3f7dd654752108c723</citedby><cites>FETCH-LOGICAL-c408t-6634d5570ea452b96ef60b3cdd895c5d21137cd7c46c31b3f7dd654752108c723</cites><orcidid>0000-0002-7693-3494 ; 0000-0003-2546-6352 ; 0000-0001-6001-8681 ; 0000-0002-6959-9686</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9256260$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Micev, Mihailo</creatorcontrib><creatorcontrib>Calasan, Martin</creatorcontrib><creatorcontrib>Petrovic, Dragan S.</creatorcontrib><creatorcontrib>Ali, Ziad M.</creatorcontrib><creatorcontrib>Quynh, Nguyen Vu</creatorcontrib><creatorcontrib>Abdel Aleem, Shady H. 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The applicability and accuracy of the proposed optimization technique are verified using experimentally obtained results from a 100-MVA synchronous generator at the Bajina Basta hydropower plant.</description><subject>Adaptive algorithms</subject><subject>Black widow optimization algorithm</subject><subject>Circuits</subject><subject>Current measurement</subject><subject>Estimation</subject><subject>field current waveform</subject><subject>Generators</subject><subject>Graphical methods</subject><subject>Heuristic methods</subject><subject>Hydroelectric plants</subject><subject>Hydroelectric power</subject><subject>Optimization</subject><subject>Optimization algorithms</subject><subject>Optimization techniques</subject><subject>Parameter estimation</subject><subject>Parameter identification</subject><subject>Shock absorbers</subject><subject>Short circuit testing</subject><subject>synchronous generator</subject><subject>Synchronous generators</subject><subject>Waveforms</subject><subject>Windings</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUctO3DAUjVCRQJQvYGOJdaZ-xHayHKKBIlFRaYpYWo59M-NpEk9tD4h-AZ-NaRDq3fjq6DyudYriguAFIbj5tmzb1Xq9oJjiBcNMcoKPilNKRFMyzsSX__aT4jzGHc5TZ4jL0-L12sFgUXsIAaaEHvUT9D6M5ZWOYNEPSFtvUUbQKiY36uT8hHyP1i-T2QY_-UNENzBB0ClzfuqgR0gQInqIbtqgpdX75J4AXQ3a_EaPzvpndJ-h0f2dvZbDxgeXtuPX4rjXQ4Tzj_eseLhe_Wq_l3f3N7ft8q40Fa5TKQSrLOcSg6447RoBvcAdM9bWDTfcUkKYNFaaShhGOtZLawWvJKcE10ZSdlbczr7W653ah_yp8KK8duof4MNG6ZCcGUBhayWmNfSS6arjOawRVEjdkY72VtvsdTl77YP_c4CY1M4fwpTPV7TKqRVtaJVZbGaZ4GMM0H-mEqzeG1Rzg-q9QfXRYFZdzCoHAJ-KhvJ8AmZvqzuYqw</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Micev, Mihailo</creator><creator>Calasan, Martin</creator><creator>Petrovic, Dragan S.</creator><creator>Ali, Ziad M.</creator><creator>Quynh, Nguyen Vu</creator><creator>Abdel Aleem, Shady H. 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| subjects | Adaptive algorithms Black widow optimization algorithm Circuits Current measurement Estimation field current waveform Generators Graphical methods Heuristic methods Hydroelectric plants Hydroelectric power Optimization Optimization algorithms Optimization techniques Parameter estimation Parameter identification Shock absorbers Short circuit testing synchronous generator Synchronous generators Waveforms Windings |
| title | Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm |
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