Multilevel modeling and optimization of large-scale pipeline systems operation

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.).

[1]  V. N. Papushkin,et al.  The role of energy conservation technologies in selecting a rational scheme for supplying heat to large towns , 2009 .

[2]  Alberto Cavallo,et al.  Dynamic Control of Water Distribution System Based on Network Partitioning , 2016 .

[3]  A. V. Lutsenko,et al.  Discrete-continuous optimization of heat network operating conditions in parallel operation of similar pumps at pumping stations , 2016, J. Glob. Optim..

[4]  Nikolai N. Novitsky,et al.  Study of objectives and methods of multiobjective optimization of hydraulic modes of heat distribution systems , 2016 .

[5]  Varun Sakalkar,et al.  Multilevel decomposition based nondeterministic design optimization for structural systems , 2011, Adv. Eng. Softw..

[6]  Max Bachmann,et al.  Evaluation of the temperature regimes of multi-level thermal networks in urban areas through exergy analysis , 2017 .

[7]  Z. I. Shalaginova,et al.  Technique of multilevel adjustment calculation of the heat-hydraulic mode of the major heat supply systems with the intermediate control stages , 2016 .

[8]  N. N. Novitskii Development of the hydraulic circuit theory for solving problems of controlling the operation of heat supply systems , 2009 .

[9]  Elisa Guelpa,et al.  Optimal operation of large district heating networks through fast fluid-dynamic simulation , 2016 .

[10]  A. M. Kler,et al.  Optimizing the operating conditions of cogeneration stations in designing them , 2009 .

[11]  Elisa Guelpa,et al.  Thermo-fluid dynamic model of large district heating networks for the analysis of primary energy savings , 2017, Energy.

[12]  Yaoguang Hu,et al.  Multilevel decision-making: A survey , 2016, Inf. Sci..

[13]  Jan Dahl,et al.  A method for the simulation and optimization of district heating systems with meshed networks , 2015 .

[14]  Gerald Schweiger,et al.  District heating and cooling systems – Framework for Modelica-based simulation and dynamic optimization , 2017 .

[15]  Andrea Toffolo,et al.  Optimization of multi-source complex district heating network, a case study , 2017 .

[16]  Z. I. Shalaginova Methods for analyzing thermal-hydraulic operating conditions of large heat supply systems , 2009 .

[17]  Andrea Toffolo,et al.  Criteria for the decomposition of energy systems in local/global optimizations , 2010 .