Abstract
A dynamic programming based Gas Pipeline Optimizer (GPO) has been developed at Scientific Software-Intercomp for the HBJ gas transmission pipeline system in India. Used as an operating and planning tool, the GPO will determine the discharge pressures at the compressor stations and the number of compressor trains to operate at each compressor station so that fuel consumption and start-up/shut-down costs for the entire HBJ system are minimized under steady state conditions. Further, the optimization will satisfy specified delivery flow rate and minimum delivery pressure requirements at the receiving terminals and ensure that minimum line pack (inventory) requirements are met for each section of the pipeline. Excessive starting and stopping of compressor trains will also be avoided.
Dynamic programming was selected as the optimization technique for the GPO because it is robust and provides a globally optimal solution. The GPO will have the ability to handle pipeline networks with diverging branches. To the best of our knowledge, the dynamic programming algorithm has been implemented in other existing commercial software to minimize fuel cost for straight line networks only.
In this paper, two main components of the GPO are discussed: the dynamic programming algorithm and the mathematical models used to represent the pipeline and compressor stations. Also included is a description of some of the problems encountered during implementation and the techniques used for their resolution.
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References
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© 1990 Springer-Verlag
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Lall, H.S., Percell, P.B. (1990). A dynamic programming based Gas Pipeline Optimizer. In: Bensoussan, A., Lions, J.L. (eds) Analysis and Optimization of Systes. Lecture Notes in Control and Information Sciences, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0120035
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DOI: https://doi.org/10.1007/BFb0120035
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