Title :
Stochastic model for operation of bottoming-cycle cogeneration facility
Author :
Youn, Luis T. ; Leem, Koung Hee
Author_Institution :
Southern Illinois Univ., Edwardsville, IL
Abstract :
Deregulation of utility industry made it possible for a local cogeneration facility to operate in parallel with an electricity provider, thus enabling to purchase needed electric energy or sell any excess in each time-band. The stochastic model for the operation of an on-site bottoming-cycle cogeneration facility and its simulation results are presented in this paper. The model assumes the modified Gaussian distribution for loads and binomial distribution for the on-site cogeneration facility
Keywords :
Gaussian distribution; binomial distribution; cogeneration; electricity supply industry deregulation; stochastic processes; Gaussian distribution; binomial distribution; electricity provider; onsite bottoming-cycle cogeneration facility; stochastic model; utility industry deregulation; Cogeneration; Costs; Distributed power generation; Electrical capacitance tomography; Gaussian distribution; Power generation; Power system modeling; Production; Stochastic processes; Thermal loading; Bottoming-Cycle Cogeneration; Stochastic Operation model;
Conference_Titel :
Future Power Systems, 2005 International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
90-78205-02-4
DOI :
10.1109/FPS.2005.204271
