Multilevel modeling and optimization of large-scale pipeline systems operation

N.N. Novitsky, A.V. Alekseev, O.A. Grebneva, A.V. Lutsenko, V.V. Tokarev and Z.I. Shalaginova

Energy, 2019, vol. 184, issue C, 151-164

Abstract: The paper is devoted to the main results of the development and application of a multilevel approach to mathematical and computer modeling of large-scale pipeline systems. The approach is intended to overcome the problems of dimension of such systems, as well as fragmentation of information and methodological support of modeling tasks that are dealt with at different departmental, regional, organizational and temporal levels of decision-making on the control of pipeline system expansion and operation. The principles and experience of the implementation of a computer platform for the automation of customization and use of multilevel information and computational models of pipeline systems of various purposes are characterized. Heating systems are used as an example to set forth the mechanisms for implementing the multilevel approach to calculate and analyze operating conditions in the design, operation and dispatch control. The formalization of the hydraulic planning task is presented as a discrete-continuous optimization problem of large dimension with multiple criteria. A new procedure for hierarchical optimization of hydraulic conditions and new methods to solve the problems of optimization of different hierarchical levels and coordination of solutions are presented. This approach could be useful in calculation of energy systems (heat, gas, water, electricity, etc.).

Keywords: District heating systems; Mathematical and computer modeling; Hydraulic and thermal conditions; Flow distribution; Optimization of operation; Hierarchical and multi-criteria discrete-continuous optimization; Information and computation technology (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:184:y:2019:i:c:p:151-164

DOI: 10.1016/j.energy.2018.02.070

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