Population-based intelligent search in reliability evaluation of generation systems with wind power penetration

IEEE Transactions on Power Systems

Volumn 23, Issue 3, 2008, Pages 1336-1345

  Wang, Lingfeng ^a   Singh, Chanan ^a  

^a Texas AandM University   (United States)

Author keywords

Computational methods; Generation systems; Intelligent search; Monte Carlo simulation; Population based optimization; Reliability evaluation; Wind power penetration

Indexed keywords

BIOELECTRIC PHENOMENA; COMPUTER SIMULATION; ELECTRIC GENERATORS; ELECTRIC LOAD LOSS; GENETIC ALGORITHMS; INTELLIGENT SYSTEMS; MECHANISMS; MONTE CARLO METHODS; POPULATION STATISTICS; POWER GENERATION; RENEWABLE ENERGY RESOURCES; TURBINES; WIND POWER;

ANT COLONY SYSTEM; ARTIFICIAL IMMUNE SYSTEM; COMPUTATIONAL METHODS; EQUIPMENT FAILURES; EXPECTED ENERGY; GENERATION SYSTEMS; GENETIC ALGORITHM (GA); IEEE-RELIABILITY TEST SYSTEM; INTELLIGENT SEARCH; LONG TIME; LOSS OF LOAD; LOSS OF LOAD EXPECTATION; MONTE CARLO SIMULATION; NUMERICAL SIMULATIONS; PARTICLE-SWARM OPTIMIZATION; POPULATION-BASED OPTIMIZATION; POWER-GENERATING SYSTEMS; RELIABILITY EVALUATION; RELIABILITY INDEXES; SOLUTION METHODOLOGY; SYSTEM OPERATIONS; SYSTEM STATES; TIME-DEPENDENT; WIND POWER PENETRATION; WIND TURBINE GENERATORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 49249086737     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2008.922642     Document Type: Article

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