Particle swarm optimization for biomass-fuelled systems with technical constraints

Engineering Applications of Artificial Intelligence

Volumn 21, Issue 8, 2008, Pages 1389-1396

  Reche Lopez P ^a   Jurado, F ^a   Ruiz Reyes, N ^a   Garcia Galan S ^a   Gomez M ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

Binary particle swarm optimization; Biomass; Distributed power generation; Profitability index; Solid oxide fuel cell

Indexed keywords

BIOLOGICAL MATERIALS; BIOMASS; BOOLEAN FUNCTIONS; CONVERGENCE OF NUMERICAL METHODS; DISTRIBUTED PARAMETER NETWORKS; DISTRIBUTED POWER GENERATION; DISTRIBUTION OF GOODS; ELECTRIC BATTERIES; ELECTRIC INVERTERS; FUEL CELLS; FUNCTION EVALUATION; GENETIC ALGORITHMS; NETWORK PROTOCOLS; NONLINEAR PROGRAMMING; OPTIMIZATION; POWER TRANSMISSION; RENEWABLE ENERGY RESOURCES; SENSOR NETWORKS; SOLID OXIDE FUEL CELLS (SOFC);

AND GENETIC ALGORITHMS; BINARY PARTICLE SWARM OPTIMIZATION; BINARY PARTICLE SWARM OPTIMIZATIONS; BIOMASS PLANTS; BIOMASS SOURCES; COMPUTATIONAL COSTS; CONVERGENCE CURVES; FITNESS FUNCTIONS; FOREST RESIDUES; NONLINEAR OPTIMIZATION PROBLEMS; NUMBER OF ITERATIONS; OPTIMAL LOCATIONS; PARTICLE SWARMS; PROFITABILITY INDEX; PROFITABILITY INDICES; RADIAL DISTRIBUTION NETWORKS; RENEWABLE ENERGY SOURCES; SOLID OXIDE FUEL CELL; TECHNICAL CONSTRAINTS; VOLTAGE PROFILES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 54049118766     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.04.013     Document Type: Article

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