Operational Optimization of Integrated Energy Systems Considering Resilience

As society progresses and fossil fuel resources dwindle, China has set forth its dual carbon goals of achieving "carbon neutrality" and "carbon peaking." This strategic initiative underscores the urgent need for a transformative shift in energy systems. The integrated energy system, which cohesively links energy generation, power grid management, load distribution, and energy storage, while addressing the diverse demands for cooling, heating, electricity, and gas, is poised to significantly facilitate this transition. A critical aspect of the integrated energy system is the assurance of energy security and stability. Consequently, the resilience analysis of these systems has become a vital research focus within the energy sector. This study constructs a model of the integrated energy system under specific constraints using MATLAB, with a particular emphasis on evaluating resilience through energy storage metrics. To optimize scheduling and enhance economic efficiency, we employ a weighted nonlinear fuzzy multi-objective planning optimization model. The findings aim to provide insights into balancing economic costs with the resilience requirements of integrated energy systems, thereby contributing to the broader discourse on sustainable energy transformation.