To tackle resilience assessment challenges in complex

uncertain

and heterogeneous energy systems within a multi-market environment

this paper introduces an integrated resilience assessment and simulation approach for energy supply chains

integrating dynamic evolution of heterogeneous entities and multi-market collaboration. First

a dynamic evolution model is established for three heterogeneous entities (coal-fired power

renewable energy

and energy storage) by integrating multi-dimensional state variables (e.g.

technical status

fuel inventory

carbon quotas)

capturing their decision- making and state-transition dynamics across interconnected electricity-coal-carbon markets. Second

leveraging mean field game theory

a multi-market coupled simulation framework is developed

reducing dimensionality through mean field distribution to reveal bidirectional interactions between macro-system states and micro-entity decisions. Additionally

a three-dimensional resilience evaluation index system (adaptability

resilience

economy) is integrated into a risk-averse

partially observed optimal control framework for quantifying the impact of entity decisions on system resilience. Finally

a distributed solution algorithm based on the alternating direction method of multipliers (ADMM) is proposed in order to ensure simulation efficiency and accuracy. Using the Northwest China power grid as a case study

scenarios such as stable coal supply

fuel shortages

and external shocks are tested. The results show that the proposed method effectively captures dynamic entity evolution and multi-market price linkages

accurately evaluates system resilience under diverse disturbances

and provides scientific support for energy market regulation and resilience-enhancement strategies.