Development of Methods for Sensitivity Analysis of Electrical Energy Networks and Systems within State Space
Tobias Blenk () and
Christian Weindl ()
Additional contact information
Tobias Blenk: Institute of High Voltage Technology, Energy System & Asset Diagnostics (IHEA), University of Applied Sciences Coburg, Friedrich-Streib-Straße 1, 96450 Coburg, Germany
Christian Weindl: Institute of High Voltage Technology, Energy System & Asset Diagnostics (IHEA), University of Applied Sciences Coburg, Friedrich-Streib-Straße 1, 96450 Coburg, Germany
Energies, 2024, vol. 17, issue 17, 1-14
Abstract:
This paper presents a new method that should make it possible to determine the sensitivity of uncontrolled electrical power grids with only a modest amount of effort. Unlike most of the methods described in the literature, this method is based on an implicit description of the electrical power grid in the state space, in which the system matrices are set up using mesh equations based on a complete tree. In this case, the sensitivity matrix is not derived from the Jacobian matrix, but from the weighted inverse of the impedance matrix. It will be shown that this makes it possible to determine the sensitivity of the network independently of the operating point, under the assumption that the impedances of the network remain constant.
Keywords: sensitivity; observability; state space; load flow (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/17/17/4489/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/17/4489/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:17:p:4489-:d:1472968
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().