A practical algorithm for distribution state estimation including renewable energy sources

Renewable Energy

Volumn 34, Issue 11, 2009, Pages 2309-2316

  Niknam, Taher ^a   Firouzi, Bahman Bahmani ^b  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Hybrid particle swarm optimization; Renewable Energy Sources (RESs); State estimation

Indexed keywords

ANT-COLONY OPTIMIZATION; COMPARISON RESULT; DISTRIBUTION NETWORK; DISTRIBUTION STATE ESTIMATION; ENERGY SOURCE; EVOLUTIONARY OPTIMIZATION ALGORITHM; FLOWING WATERS; HONEY-BEE MATING OPTIMIZATION; HYBRID PARTICLE SWARM OPTIMIZATION; NELDER-MEAD SIMPLEX SEARCH; OUTPUT VALUES; PARTICLE SWARM OPTIMIZATION ALGORITHM; POWER SYSTEMS; PRACTICAL ALGORITHMS; RENEWABLE ENERGIES; RENEWABLE ENERGY SOURCE; RENEWABLE ENERGY SOURCES (RESS); RENEWABLE SOURCES; RESEARCH INSTITUTES; TEST SYSTEMS; THREE-PHASE POWER FLOW; TRANSFORMER MODELING; UNDER-LOAD TAP CHANGER; VAR COMPENSATORS; WEIGHTED LEAST SQUARES;

ALGORITHMS; BIOMASS; CONSTRAINED OPTIMIZATION; DISTRIBUTED PARAMETER NETWORKS; DISTRIBUTION OF GOODS; ELECTRIC POTENTIAL; ELECTROMAGNETIC WAVE EMISSION; ESTIMATION; GENETIC ALGORITHMS; NATURAL RESOURCES; NONLINEAR EQUATIONS; STATE ESTIMATION; VOLTAGE CONTROL; VOLTAGE REGULATORS; WIND POWER;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOMASS; COMPARATIVE STUDY; ESTIMATION METHOD; OPTIMIZATION; POWER GENERATION; RENEWABLE RESOURCE; WATER FLOW; WIND POWER;

APIS MELLIFERA;

EID: 67149105853     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2009.03.005     Document Type: Review

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