| dc.creator | Garcés, Alejandro | |
| dc.creator | Rodriguez-Garcia, Luis | |
| dc.date | 2019-04-01T07:00:00Z | |
| dc.date.accessioned | 2022-10-13T13:36:29Z | |
| dc.date.available | 2022-10-13T13:36:29Z | |
| dc.identifier | https://ciencia.lasalle.edu.co/scopus_unisalle/154 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4157745 | |
| dc.description | This paper presents two algorithms for the estimation of the nodal admittance matrix (Y ) on dc microgrids. The first methodology is a gradient-based identification algorithm whereas the second is a projection-based algorithm which includes additional constraints related to the expected structure of the matrix. These constraints are defined in a matrix space R and include symmetry and sparsity. The objective function is a matrix-valued convex function, thus the convergence of the algorithm is guaranteed via convex optimization theory. Simulations results demonstrate the feasibility of the proposed methodology for real-time practical applications considering high variability of the primary resources. BUS N×N | |
| dc.source | IEEE Green Technologies Conference | |
| dc.subject | convex optimization | |
| dc.subject | dc-microgrids | |
| dc.subject | optimization on a matrix manifold | |
| dc.subject | ybus identification | |
| dc.title | An Approach for Nodal Admittance Matrix Real-Time Estimation on DC Microgrids | |
| dc.type | Conference Proceeding | |
