LoDiM: A novel power system state estimation method with dynamic measurement selection

IEEE Power and Energy Society General Meeting

Volumn , Issue , 2011, Pages

  Zhang, Jinghe ^a   Welch, Greg ^a   Bishop, Gary ^a  

^a University of North Carolina   (United States)

Author keywords

Dynamic Measurement Selection; Kalman Filter; Parallel Compuatation; Power system simulation; Power systems; State Estimation Algorithms

Indexed keywords

DYNAMIC MEASUREMENT; ITS EFFICIENCIES; ON-LINE ESTIMATION; PARALLEL COMPUATATION; PARALLEL COMPUTATION; POWER SYSTEM SIMULATIONS; POWER SYSTEM STATE ESTIMATION; ROBUST ESTIMATION; SELECTION PROCEDURES; STATE ESTIMATION ALGORITHMS; STATE ESTIMATION METHODS; STATE TRACKING; UNSCENTED FILTERS; WIDE AREA;

ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC UTILITIES; KALMAN FILTERS; POWER TRANSMISSION; REAL TIME SYSTEMS; STANDBY POWER SYSTEMS; STATE ESTIMATION; WEATHER FORECASTING;

ESTIMATION;

EID: 82855168151     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2011.6039686     Document Type: Conference Paper

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