Operational optimization of a stand-alone hybrid renewable energy generation system based on an improved genetic algorithm

IEEE PES General Meeting, PES 2010

Volumn , Issue , 2010, Pages

  Zeng, J ^a   Li, M ^b   Liu, J F ^c   Wu, J ^a   Ngan, H W ^c  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangzhou Power Supply Bureau   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Hybrid RE generation system; Improved genetic algorithm; Operational optimization; Optimal control

Indexed keywords

CONVERGENCE SPEED; GENERATION SYSTEMS; IMPROVED GENETIC ALGORITHMS; OPERATIONAL OPTIMIZATION; OPTIMAL CONTROLS; OPTIMIZATION AND CONTROL; POWER GENERATION SYSTEMS; RENEWABLE ENERGIES; RENEWABLE ENERGY GENERATION; SCENARIO SIMULATIONS; STAND -ALONE; STANDARD GENETIC ALGORITHM;

CONTROL; GENETIC ALGORITHMS; OPTIMIZATION; RENEWABLE ENERGY RESOURCES;

CONVERGENCE OF NUMERICAL METHODS;

EID: 78649615992     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2010.5589885     Document Type: Conference Paper

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