Abstract
In this paper, an optimal gas supply planning problem has been formulated as a mixed-integer program, and the suboptimal feasible solution has been obtained by applying a heuristic approach. The mathematical model has been constructed by taking an operator’s operation experience into account. Further, the proposed algorithm is expected to have an ability of making on-line gas supply plan from the viewpoints of both computation time and accuracy.
Preview
Unable to display preview. Download preview PDF.
References
H. Hara, K. Yamashita and T. Watanabe: On-line application of large scale linear programming to pulp and paper mill by mini-computer, Lecture Notes in Control and Information Sciences 113, Springer, Berlin, pp.662–671 (1988)
K. Yamaji, H. Asano and S. Sagai: Process model for industrial response to time-of-use rates, CRIEPI, Economic Research Center, Vol.22, pp.17–35 (1987, in Japanese)
H. Yamaoka and Y. Kaya: Electricity demand model for industrial response to time-of-use rate — The case of iron and steel industry in Japan —, Trans. IEE Japan, Vol.109-B, pp.17–24 (1989, in Japanese)
N. Sannomiya, Y. Nishikawa, K. Akimoto, T. Tsuda, and M. Okubo: Optimal gas supply for joint electric power plant, Trans.IEE Japan, Vol.109-C, pp.254–261 (1989, in Japanese)
K. Akimoto, N. Sannomiya, Y. Nishikawa, and T. Tsuda: An optimal gas supply for a power plant using a mixed integer programming model, Automatica, Vol.25, No.3, pp.513–518 (1991)
Y.Nishikawa, N.Sannomiya and T.Ibaragi: Optimization, Iwanami Shoten, pp.128–129 (1982, in Japanese)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1992 International Federation for Information Processing
About this paper
Cite this paper
Sannomiya, N., Akimoto, K. (1992). Modeling and optimal planning of a gas supply system for a power plant. In: Davisson, L.D., et al. System Modelling and Optimization. Lecture Notes in Control and Information Sciences, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0113348
Download citation
DOI: https://doi.org/10.1007/BFb0113348
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55577-3
Online ISBN: 978-3-540-47220-9
eBook Packages: Springer Book Archive