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

Volume

9

Issue

3

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

1634

Lastpage

1642

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;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.336094

Filename

336094