A new stochastic search technique combined with scenario approach for dynamic state estimation of power systems

IEEE Transactions on Power Systems

Volumn 27, Issue 4, 2012, Pages 2093-2105

  Nejati, Maryam ^a   Amjady, Nima ^a   Zareipour, Hamidreza ^b  

^a SEMNAN UNIVERSITY   (Iran)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Dynamic state estimation; scenario generation approach; stochastic search technique

Indexed keywords

BACTERIAL FORAGING; CLOSED LOOP DYNAMIC; DIFFERENTIAL EVOLUTION; DYNAMIC STATE ESTIMATION; ESTIMATION PROBLEM; LATTICE MONTE CARLO SIMULATIONS; LOAD FORECAST UNCERTAINTY; LOAD PREDICTIONS; OPTIMAL POWER FLOWS; REASONABLE ACCURACY; SCENARIO APPROACH; SCENARIO GENERATION; SEARCH CAPABILITIES; STATE ESTIMATION METHODS; STOCHASTIC SEARCH TECHNIQUES; TEST SYSTEMS; UNOBSERVABLE; WEIGHTED LEAST SQUARES;

BUSES; EVOLUTIONARY ALGORITHMS; FORECASTING; INFORMATION ANALYSIS; MONTE CARLO METHODS; STOCHASTIC SYSTEMS;

STATE ESTIMATION;

EID: 84867983491     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2012.2195038     Document Type: Article

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