Title :
Power system structure and confidentiality preserving transformation of Optimal Power Flow problem
Author :
Borden, Alexander R. ; Molzahn, D.K. ; Lesieutre, Bernard C. ; Ramanathan, Parmesh
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Wisconsin-Madison, Madison, WI, USA
Abstract :
In this paper we present a method to transform optimal power flow models to enable the sharing of equivalent data sets while preserving privacy of an original data set. Importantly, the generated models preserve a power system structure with certain characteristics chosen by the developer. The needed transformations are presented on the DC Optimal Power Flow (OPF) model.
Keywords :
load flow; DC optimal power flow problem; OPF; confidentiality preserving transformation; original data set privacy; power system structure; Generators; Lead; Vectors;
Conference_Titel :
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4799-3409-6
DOI :
10.1109/Allerton.2013.6736637
