Scientific Workflow-Based Synthesis of Optimal Microgrid Configurations

Olga Edeleva, Alexei Edelev, Mikhail Voskoboinikov and Alexander Feoktistov ()
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Olga Edeleva: Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia
Alexei Edelev: Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia
Mikhail Voskoboinikov: Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia
Alexander Feoktistov: Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia

Energies, 2024, vol. 17, issue 23, 1-25

Abstract: Nowadays, multi-energy systems play an important role in satisfying the ever-increasing demand for different energy resources. At the same time, the sustainable development of such systems is usually based on the structural and parametric optimization (synthesis) of their infrastructures. There is a large spectrum of specialized optimization tools for the study of single energy systems. At the same time, the problem of modeling the interaction between single energy systems remains challenging. Therefore, it is imperative to develop an efficient experimental environment to effectively implement the synthesis of optimal configurations of multi-energy systems. Microgrids are a special case of multi-energy systems. They provide a higher level of energy supply compared to the main grids and enhance their reliability and resilience. In this context, we propose a framework and subject-oriented environment for the synthesis of optimal microgrid configurations in a reasonable time considering the available computational resources. The basis of the environment is a service-oriented application. The modeling and optimization of the studied systems is performed by means of scientific workflows. Our results complement and develop known approaches to automate the modeling of multi-energy systems using their typical models and specially selected optimization algorithms corresponding to these models. We have successfully tested our approach for the synthesis of optimal microgrid configurations on the case study of a specific microgrid providing heat and electricity to a small settlement.

Keywords: multi-energy systems; microgrid synthesis; scientific workflows (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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