Multi-objective parallel particle swarm optimization for day-ahead Vehicle-to-Grid scheduling

IEEE Symposium on Computational Intelligence Applications in Smart Grid, CIASG

Volumn , Issue , 2013, Pages 138-145

  Soares, Joao ^a   Vale, Zita ^a   Canizes, Bruno ^a   Morais, Hugo ^b  

^a INSTITUTE OF ENGINEERING   (Portugal)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

multi objective Pareto front; particle swarm optimization; scheduling; vehicle to grid

Indexed keywords

MATHEMATICAL FORMULATION; NETWORK CONSTRAINTS; PARALLEL PARTICLE SWARM OPTIMIZATION; PARETO FRONT; RESOURCE-SCHEDULING; TOTAL OPERATION COSTS; VEHICLE TO GRIDS; VEHICLETO-GRID (V2G);

ARTIFICIAL INTELLIGENCE; DISTRIBUTED POWER GENERATION; ENERGY RESOURCES; PARALLEL ARCHITECTURES; PARETO PRINCIPLE; PARTICLE SWARM OPTIMIZATION (PSO); SMART POWER GRIDS;

SCHEDULING;

EID: 84890077458     PISSN: 23267682     EISSN: 23267690     Source Type: Conference Proceeding    
DOI: 10.1109/CIASG.2013.6611510     Document Type: Conference Paper

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