dc.contributor | Universidade Estadual Paulista (UNESP) | |
dc.contributor | ECpE Department | |
dc.date.accessioned | 2022-05-01T09:47:24Z | |
dc.date.accessioned | 2022-12-20T03:43:54Z | |
dc.date.available | 2022-05-01T09:47:24Z | |
dc.date.available | 2022-12-20T03:43:54Z | |
dc.date.created | 2022-05-01T09:47:24Z | |
dc.date.issued | 2021-09-15 | |
dc.identifier | 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021. | |
dc.identifier | http://hdl.handle.net/11449/233721 | |
dc.identifier | 10.1109/ISGTLatinAmerica52371.2021.9543033 | |
dc.identifier | 2-s2.0-85117590715 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5413820 | |
dc.description.abstract | This paper presents a non-linear stochastic mathematical formulation for the three-phase optimal power flow problem, which addresses the uncertainties of both the load and the renewable generation using the self-validation method called Affine Arithmetic. The affine shapes for tree-phase variables was performed using the theoretical approach of Reduced Affine Arithmetic together with the Chebyshev approximation method for non-affine operations. The stochastic mathematical model is formulated into as an equivalent optimization problem through a set of affine operators to later be solved by a two-stage stochastic optimization problem. Two three-phase distribution systems 19-bus and 25-bus are used to show the effectiveness of the proposed methodology. | |
dc.language | eng | |
dc.relation | 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021 | |
dc.source | Scopus | |
dc.subject | Affine arithmetic | |
dc.subject | Optimal power flow | |
dc.subject | Optimization | |
dc.subject | Stochastic | |
dc.subject | Three-phase | |
dc.subject | Uncertainty | |
dc.title | Three-phase optimal power flow based on Affine Arithmetic | |
dc.type | Actas de congresos | |