Tabu search based static state estimation for DistFlow in radial distribution systems

Hiroyuki Mori, Yoshihiro Ogita

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

This paper proposes tabu search based static state estimation for DistFlow in radial distribution systems. DistFlow is more efficient than the conventional power flow calculation methods for distribution systems. It has a feature that state variables at the substation successively determine the rest of state variables. Recently, the automation for distribution systems has been popular to smooth more reliable distribution power system operation and planning. As a result, state estimation is required to compute reliable data. This paper develops the DistFlow-based static state estimation technique with tabu search. In this paper, the state estimation may be formulated as a minimization problem that determines state variables at the source node. As one of meta-heuristics, tabu search is applied to the problem so that an approximate solution near a globally optimal solution is obtained as an estimate with high accuracy. The proposed method is tested a 69-node system.

Original languageEnglish
Pages1033-1039
Number of pages7
Publication statusPublished - 1 Dec 1999
EventProceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99) - St. Louis, MO, USA
Duration: 7 Nov 199910 Nov 1999

Conference

ConferenceProceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99)
CitySt. Louis, MO, USA
Period7/11/9910/11/99

    Fingerprint

Cite this

Mori, H., & Ogita, Y. (1999). Tabu search based static state estimation for DistFlow in radial distribution systems. 1033-1039. Paper presented at Proceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99), St. Louis, MO, USA, .