Title :
Power system optimal meter placement a comparitive numeric and genetic approach
Author :
Ramesh, L. ; Chowdhury, S.P. ; Chowdhury, S. ; Natarajan, A.A.
Author_Institution :
Dr.MGR Univ., Chennai
Abstract :
Accurate monitoring of power system operation has become a very important function in today´s deregulated power markets and thus, state estimators have become the essential tools of choice for the implementation of this function. Determination of the best possible combination of meters for monitoring a given power system is referred to as the optimal meter placement. Whether a new state estimator is put into service or an existing one is being .upgraded, placing new meters for improving or maintaining reliability and the observability of the measurement system, is of great concern. This paper reports on a unified approach of optimal and economic meter placement against loss of multiple measurements, outages of multiple branches and bus splitting. The paper also compares the qualitative method to the intelligent approach.
Keywords :
genetic algorithms; power meters; power system measurement; power system state estimation; deregulated power markets; genetic approach; intelligent approach; measurement system; power system operation monitoring; power system optimal meter placement; power system reliability; qualitative method; state estimators; Genetic Algorithm; Meter placement; Network observability; State estimation;
Conference_Titel :
Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
Conference_Location :
Tamil Nadu