Analytic Loss Minimization: Theoretical Framework of a Second Order Optimization Method
AMPSAS, University College Dublin, Dublin 4, Ireland
Received: 6 December 2018 / Revised: 14 January 2019 / Accepted: 22 January 2019 / Published: 26 January 2019
In power engineering, the
is a symmetric
square matrix describing a power system network with N
buses. By partitioning, manipulating and using its symmetry properties, it is possible to derive the
matrices, which are useful to define a loss minimisation dispatch for generators. This article focuses on the case of constant-current loads and studies the theoretical framework of a second order optimization method for analytic loss minimization by taking into account the symmetry properties of
. We define an appropriate matrix functional of several variables with complex elements and aim to obtain the minimum values of generator voltages.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Dassios, I.K. Analytic Loss Minimization: Theoretical Framework of a Second Order Optimization Method. Symmetry 2019, 11, 136.
Dassios IK. Analytic Loss Minimization: Theoretical Framework of a Second Order Optimization Method. Symmetry. 2019; 11(2):136.
Dassios, Ioannis K. 2019. "Analytic Loss Minimization: Theoretical Framework of a Second Order Optimization Method." Symmetry 11, no. 2: 136.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.