Neuro computing for state estimation in power systems

研究成果: Conference article

抜粋

This paper presents a new method for QP-based power system state estimation using an artificial neural network. QP-based state estimation makes use of the fact that the observation equation is expressed as a set of exact quadratic equations in rectangular coordinate. The problem formulation is transformed into evaluating equilibriums of the differential equations with an artificial neural network that is based on the Lagrange function. Thus, the obtained solution is optimal in a sense of the Kuhn-Tucker conditions.

元の言語English
ページ(範囲)69-72
ページ数4
ジャーナルProceedings - IEEE International Symposium on Circuits and Systems
Suppl
出版物ステータスPublished - 1 1 1996
イベントProceedings of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS. Part 1 (of 4) - Atlanta, GA, USA
継続期間: 12 5 199615 5 1996

これを引用