A new solution for maintenance scheduling in deregulated environment applying genetic algorithm and Monte-Carlo Simulation

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010

Volumn , Issue , 2010, Pages 378-384

  Manbachi, Moein ^a   Mahdloo, Faezeh ^b   Haghifam, Mahmood Reza ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b Energy and Environment Department   (Iran)

^c TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Genetic algorithm; Maintenance market; Maintenance scheduling; Monte Carlo simulation; Reliability

Indexed keywords

AREA-BASED; DEREGULATED ENVIRONMENTS; GENERATING UNIT; GENERATION COMPANIES; IEEE-RELIABILITY TEST SYSTEM; INDEPENDENT SYSTEM OPERATORS; MAINTENANCE SCHEDULING; MONTE CARLO SIMULATION; MONTE-CARLO SIMULATIONS; NEW SOLUTIONS; POWER GENERATION UNITS; TWO-POINT;

COMMERCE; DEREGULATION; ELECTRIC POWER GENERATION; ELECTRIC UTILITIES; INDUSTRY; MAINTENANCE; MATHEMATICAL OPERATORS; PROBABILISTIC LOGICS; RELIABILITY;

GENETIC ALGORITHMS;

EID: 77956431834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PMAPS.2010.5528314     Document Type: Conference Paper

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