Matches in SemOpenAlex for { <https://semopenalex.org/work/W2757020002> ?p ?o ?g. }
- W2757020002 endingPage "e0185454" @default.
- W2757020002 startingPage "e0185454" @default.
- W2757020002 abstract "Since wind power is integrated into the thermal power operation system, dynamic economic emission dispatch (DEED) has become a new challenge due to its uncertain characteristics. This paper proposes an adaptive grid based multi-objective Cauchy differential evolution (AGB-MOCDE) for solving stochastic DEED with wind power uncertainty. To properly deal with wind power uncertainty, some scenarios are generated to simulate those possible situations by dividing the uncertainty domain into different intervals, the probability of each interval can be calculated using the cumulative distribution function, and a stochastic DEED model can be formulated under different scenarios. For enhancing the optimization efficiency, Cauchy mutation operation is utilized to improve differential evolution by adjusting the population diversity during the population evolution process, and an adaptive grid is constructed for retaining diversity distribution of Pareto front. With consideration of large number of generated scenarios, the reduction mechanism is carried out to decrease the scenarios number with covariance relationships, which can greatly decrease the computational complexity. Moreover, the constraint-handling technique is also utilized to deal with the system load balance while considering transmission loss among thermal units and wind farms, all the constraint limits can be satisfied under the permitted accuracy. After the proposed method is simulated on three test systems, the obtained results reveal that in comparison with other alternatives, the proposed AGB-MOCDE can optimize the DEED problem while handling all constraint limits, and the optimal scheme of stochastic DEED can decrease the conservation of interval optimization, which can provide a more valuable optimal scheme for real-world applications." @default.
- W2757020002 created "2017-10-06" @default.
- W2757020002 creator A5055838753 @default.
- W2757020002 creator A5062644673 @default.
- W2757020002 creator A5066409796 @default.
- W2757020002 creator A5079576759 @default.
- W2757020002 creator A5091488899 @default.
- W2757020002 date "2017-09-29" @default.
- W2757020002 modified "2023-09-27" @default.
- W2757020002 title "Adaptive grid based multi-objective Cauchy differential evolution for stochastic dynamic economic emission dispatch with wind power uncertainty" @default.
- W2757020002 cites W1984572828 @default.
- W2757020002 cites W1988296416 @default.
- W2757020002 cites W1990776331 @default.
- W2757020002 cites W1996020571 @default.
- W2757020002 cites W2005634825 @default.
- W2757020002 cites W2007312702 @default.
- W2757020002 cites W2007889739 @default.
- W2757020002 cites W2009580746 @default.
- W2757020002 cites W2021574979 @default.
- W2757020002 cites W2024305281 @default.
- W2757020002 cites W2031359418 @default.
- W2757020002 cites W2031545514 @default.
- W2757020002 cites W2046508941 @default.
- W2757020002 cites W2047490646 @default.
- W2757020002 cites W2055150540 @default.
- W2757020002 cites W2057057119 @default.
- W2757020002 cites W2057652411 @default.
- W2757020002 cites W2070257229 @default.
- W2757020002 cites W2074210939 @default.
- W2757020002 cites W2089770804 @default.
- W2757020002 cites W2092031071 @default.
- W2757020002 cites W2110025062 @default.
- W2757020002 cites W2126105956 @default.
- W2757020002 cites W2145228555 @default.
- W2757020002 cites W2164297615 @default.
- W2757020002 cites W2194706095 @default.
- W2757020002 cites W2282690477 @default.
- W2757020002 cites W2764796714 @default.
- W2757020002 doi "https://doi.org/10.1371/journal.pone.0185454" @default.
- W2757020002 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5621695" @default.
- W2757020002 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28961262" @default.
- W2757020002 hasPublicationYear "2017" @default.
- W2757020002 type Work @default.
- W2757020002 sameAs 2757020002 @default.
- W2757020002 citedByCount "18" @default.
- W2757020002 countsByYear W27570200022019 @default.
- W2757020002 countsByYear W27570200022020 @default.
- W2757020002 countsByYear W27570200022021 @default.
- W2757020002 countsByYear W27570200022022 @default.
- W2757020002 countsByYear W27570200022023 @default.
- W2757020002 crossrefType "journal-article" @default.
- W2757020002 hasAuthorship W2757020002A5055838753 @default.
- W2757020002 hasAuthorship W2757020002A5062644673 @default.
- W2757020002 hasAuthorship W2757020002A5066409796 @default.
- W2757020002 hasAuthorship W2757020002A5079576759 @default.
- W2757020002 hasAuthorship W2757020002A5091488899 @default.
- W2757020002 hasBestOaLocation W27570200021 @default.
- W2757020002 hasConcept C105795698 @default.
- W2757020002 hasConcept C119599485 @default.
- W2757020002 hasConcept C126255220 @default.
- W2757020002 hasConcept C127413603 @default.
- W2757020002 hasConcept C144024400 @default.
- W2757020002 hasConcept C149923435 @default.
- W2757020002 hasConcept C17744445 @default.
- W2757020002 hasConcept C199539241 @default.
- W2757020002 hasConcept C2779845782 @default.
- W2757020002 hasConcept C2908647359 @default.
- W2757020002 hasConcept C33923547 @default.
- W2757020002 hasConcept C41008148 @default.
- W2757020002 hasConcept C49344536 @default.
- W2757020002 hasConcept C74750220 @default.
- W2757020002 hasConcept C78600449 @default.
- W2757020002 hasConceptScore W2757020002C105795698 @default.
- W2757020002 hasConceptScore W2757020002C119599485 @default.
- W2757020002 hasConceptScore W2757020002C126255220 @default.
- W2757020002 hasConceptScore W2757020002C127413603 @default.
- W2757020002 hasConceptScore W2757020002C144024400 @default.
- W2757020002 hasConceptScore W2757020002C149923435 @default.
- W2757020002 hasConceptScore W2757020002C17744445 @default.
- W2757020002 hasConceptScore W2757020002C199539241 @default.
- W2757020002 hasConceptScore W2757020002C2779845782 @default.
- W2757020002 hasConceptScore W2757020002C2908647359 @default.
- W2757020002 hasConceptScore W2757020002C33923547 @default.
- W2757020002 hasConceptScore W2757020002C41008148 @default.
- W2757020002 hasConceptScore W2757020002C49344536 @default.
- W2757020002 hasConceptScore W2757020002C74750220 @default.
- W2757020002 hasConceptScore W2757020002C78600449 @default.
- W2757020002 hasIssue "9" @default.
- W2757020002 hasLocation W27570200021 @default.
- W2757020002 hasLocation W27570200022 @default.
- W2757020002 hasLocation W27570200023 @default.
- W2757020002 hasLocation W27570200024 @default.
- W2757020002 hasLocation W27570200025 @default.
- W2757020002 hasOpenAccess W2757020002 @default.
- W2757020002 hasPrimaryLocation W27570200021 @default.
- W2757020002 hasRelatedWork W1979846475 @default.
- W2757020002 hasRelatedWork W2387733198 @default.
- W2757020002 hasRelatedWork W2423229215 @default.