Matches in SemOpenAlex for { <https://semopenalex.org/work/W2910116366> ?p ?o ?g. }
- W2910116366 endingPage "5909" @default.
- W2910116366 startingPage "5899" @default.
- W2910116366 abstract "This paper develops a new response-surface-based Bayesian inference approach for power system dynamic parameter estimation of a decentralized generator using phasor-measurement-unit measurement. The response surface for the decentralized generator model is formulated through a polynomial-chaos-based surrogate. This surrogate allows us to efficiently evaluate the time-consuming dynamic solver at parameter values through a polynomial-based reduced-order representation. In addition, a polynomial-chaos-based analysis of variance is performed to screen out model parameters while ensuring system observability. In dealing with sampling the non-Gaussian posterior distribution for the parameters, the Metropolis-Hastings sampler is adopted. The simulations conducted in the New England system under different system events show that the proposed method can achieve a speedup factor of two orders or magnitude compared with the traditional method while providing full probabilistic distribution of model parameters and achieving the same level of accuracy." @default.
- W2910116366 created "2019-01-25" @default.
- W2910116366 creator A5006596843 @default.
- W2910116366 creator A5023379357 @default.
- W2910116366 creator A5034654778 @default.
- W2910116366 creator A5047501422 @default.
- W2910116366 creator A5073678278 @default.
- W2910116366 creator A5079847660 @default.
- W2910116366 creator A5081167614 @default.
- W2910116366 date "2019-11-01" @default.
- W2910116366 modified "2023-10-16" @default.
- W2910116366 title "Response-Surface-Based Bayesian Inference for Power System Dynamic Parameter Estimation" @default.
- W2910116366 cites W1512208174 @default.
- W2910116366 cites W1978001339 @default.
- W2910116366 cites W2018159038 @default.
- W2910116366 cites W2036988489 @default.
- W2910116366 cites W2041865295 @default.
- W2910116366 cites W2049774453 @default.
- W2910116366 cites W2074686342 @default.
- W2910116366 cites W2117485864 @default.
- W2910116366 cites W2132934951 @default.
- W2910116366 cites W2165886836 @default.
- W2910116366 cites W2199118834 @default.
- W2910116366 cites W2340920670 @default.
- W2910116366 cites W2528721455 @default.
- W2910116366 cites W2743111685 @default.
- W2910116366 cites W2765195441 @default.
- W2910116366 cites W2776926048 @default.
- W2910116366 cites W2899992489 @default.
- W2910116366 cites W2905651659 @default.
- W2910116366 cites W2906289929 @default.
- W2910116366 cites W2963703527 @default.
- W2910116366 cites W3176971593 @default.
- W2910116366 cites W4231209350 @default.
- W2910116366 cites W4300600608 @default.
- W2910116366 cites W4376595714 @default.
- W2910116366 doi "https://doi.org/10.1109/tsg.2019.2892464" @default.
- W2910116366 hasPublicationYear "2019" @default.
- W2910116366 type Work @default.
- W2910116366 sameAs 2910116366 @default.
- W2910116366 citedByCount "32" @default.
- W2910116366 countsByYear W29101163662019 @default.
- W2910116366 countsByYear W29101163662020 @default.
- W2910116366 countsByYear W29101163662021 @default.
- W2910116366 countsByYear W29101163662022 @default.
- W2910116366 countsByYear W29101163662023 @default.
- W2910116366 crossrefType "journal-article" @default.
- W2910116366 hasAuthorship W2910116366A5006596843 @default.
- W2910116366 hasAuthorship W2910116366A5023379357 @default.
- W2910116366 hasAuthorship W2910116366A5034654778 @default.
- W2910116366 hasAuthorship W2910116366A5047501422 @default.
- W2910116366 hasAuthorship W2910116366A5073678278 @default.
- W2910116366 hasAuthorship W2910116366A5079847660 @default.
- W2910116366 hasAuthorship W2910116366A5081167614 @default.
- W2910116366 hasBestOaLocation W29101163661 @default.
- W2910116366 hasConcept C105795698 @default.
- W2910116366 hasConcept C11413529 @default.
- W2910116366 hasConcept C126255220 @default.
- W2910116366 hasConcept C131675550 @default.
- W2910116366 hasConcept C134306372 @default.
- W2910116366 hasConcept C154945302 @default.
- W2910116366 hasConcept C167928553 @default.
- W2910116366 hasConcept C19499675 @default.
- W2910116366 hasConcept C197656079 @default.
- W2910116366 hasConcept C2775924081 @default.
- W2910116366 hasConcept C2778770139 @default.
- W2910116366 hasConcept C28826006 @default.
- W2910116366 hasConcept C33923547 @default.
- W2910116366 hasConcept C36299963 @default.
- W2910116366 hasConcept C41008148 @default.
- W2910116366 hasConcept C47446073 @default.
- W2910116366 hasConcept C90119067 @default.
- W2910116366 hasConceptScore W2910116366C105795698 @default.
- W2910116366 hasConceptScore W2910116366C11413529 @default.
- W2910116366 hasConceptScore W2910116366C126255220 @default.
- W2910116366 hasConceptScore W2910116366C131675550 @default.
- W2910116366 hasConceptScore W2910116366C134306372 @default.
- W2910116366 hasConceptScore W2910116366C154945302 @default.
- W2910116366 hasConceptScore W2910116366C167928553 @default.
- W2910116366 hasConceptScore W2910116366C19499675 @default.
- W2910116366 hasConceptScore W2910116366C197656079 @default.
- W2910116366 hasConceptScore W2910116366C2775924081 @default.
- W2910116366 hasConceptScore W2910116366C2778770139 @default.
- W2910116366 hasConceptScore W2910116366C28826006 @default.
- W2910116366 hasConceptScore W2910116366C33923547 @default.
- W2910116366 hasConceptScore W2910116366C36299963 @default.
- W2910116366 hasConceptScore W2910116366C41008148 @default.
- W2910116366 hasConceptScore W2910116366C47446073 @default.
- W2910116366 hasConceptScore W2910116366C90119067 @default.
- W2910116366 hasFunder F4320306084 @default.
- W2910116366 hasFunder F4320338286 @default.
- W2910116366 hasIssue "6" @default.
- W2910116366 hasLocation W29101163661 @default.
- W2910116366 hasOpenAccess W2910116366 @default.
- W2910116366 hasPrimaryLocation W29101163661 @default.
- W2910116366 hasRelatedWork W1971989957 @default.
- W2910116366 hasRelatedWork W2046459260 @default.
- W2910116366 hasRelatedWork W2996933288 @default.