Optimization of integrated energy system resilience

Currently, the development of approaches that enhance the resilience of integrated energy systems is a highly relevant research direction. Such approaches are based on the structural and parametric optimization of integrated energy systems. Typically, these approaches are closely tied to a specific spatio-temporal scope and a particular optimization method. The application of developed approaches at other scopes often leads to a significant increase in computation time and a possible reduction of solution accuracy. This problem is due to the complexity of energy system optimization models and the differences between them. To solve this problem, we have developed a methodology for selecting the most suitable methods for the design of system resilience at a given spatio-temporal scope. The proposed methodology is based on testing methods within a specialized testbed and a multi-criteria analysis of test results. The indicators for evaluating the methods include both summary metrics of resilience and efficiency parameters of computational resources. The benefits of the proposed methodology are illustrated for the resilient design with respect to national and local integrated energy systems. Several dozen methods from the well-known Parallel Global Multiobjective Optimizer library were efficiently tested in up to 10 hours. The analysis of the testing results was performed with different multi-criteria algorithms regarding the prioritization of the indicators.