Title :
An adaptive production simulation structure for operational planning with annual emission/fuel constraints
Author :
Breipohl, Arthur M. ; Lee, Fred N. ; Lin, Min-Ywan ; Wang, Hui Dong ; Chiang, Jia-Yo
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA
fDate :
8/1/1994 12:00:00 AM
Abstract :
This paper describes a production simulation structure for use in operational planning. The key features of the structure are: it captures the chronological aspects of power production; it models adaptive compliance with annual emission/fuel constraints; and it models generator availability using a conditional Monte Carlo sampling approach. The purpose of the paper is to demonstrate that this structure can produce unbiased and low variance results while modeling uncertainty with an acceptable computational requirement
Keywords :
Monte Carlo methods; air pollution detection and control; fuel; power system planning; adaptive compliance modelling; adaptive production simulation structure; annual emission constraints; conditional Monte Carlo sampling approach; fuel constraints; generator availability modelling; low variance results; operational planning; unbiased results; Computational modeling; Costs; Fuels; Monte Carlo methods; Power generation; Power system modeling; Power system planning; Production planning; Production systems; Uncertainty;
Journal_Title :
Power Systems, IEEE Transactions on
