Evaluation of wind energy sources influence on composite generation and transmission systems reliability

15th Power Systems Computation Conference, PSCC 2005

Volumn , Issue , 2005, Pages

  Borges, Carmen Lucia Tancredo ^a   Galvão, João Paulo ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Composite reliability evaluation; Monte Carlo simulation; Statistical clustering technique; Wind energy systems

Indexed keywords

ELECTRIC POWER TRANSMISSION; INTELLIGENT SYSTEMS; MARKOV PROCESSES; RELIABILITY; RELIABILITY ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WIND POWER; WIND TURBINES;

COMPOSITE GENERATION AND TRANSMISSION SYSTEM; COMPOSITE RELIABILITY; COMPOSITE SYSTEM RELIABILITY; CONVENTIONAL GENERATION; QUANTITATIVE AND QUALITATIVE ANALYSIS; RELIABILITY EVALUATION; STATISTICAL CLUSTERING TECHNIQUE; WIND ENERGY SYSTEMS;

MONTE CARLO METHODS;

EID: 84983113477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. N. Jenkins, R. Allan, P. Crossley, D. Kirschen, G. Strbac, "Embedded Generation", IEE, London, UK, 2000.
2. C. Singh, Y. Kim, "An Efficient Technique for Reliability Analysis of Power Systems Including Time Dependent Sources", IEEE Transactions on Power Systems, Vol. 3, No. 3, August 1988.
3. R. Billinton, R. N. Allan, "Reliability Evaluation of Power Systems", Plenum Pres, NY, 2a Ed, 1996.
4. AZMET - The Arizona Meteorological Network. Desert Ridge Station Data Files. Available in: http://cals.arizona.edu/azmet/27.htm.
5. CEPEL - NH2: Computational System for Probabilistic Analysis of Power Systems Reliability - User Manual (in Portuguese), version 6.0, January 2003.
6. ANEEL - National Agency of Electric Energy, BIG - Generation Information Data Base. Avaiable in: http://www.aneel.gov.br/area.cfm?id-area=15.