Although some systems already have basic energy monitoring functions, they lack intelligent analysis and optimized scheduling of energy consumption, making it difficult to adapt to increasingly complex energy demand patterns. This study introduces a highway energy master control simulator architecture design and implementation scheme based on dual carbon goals, aiming to improve energy utilization and reduce carbon emissions through efficient energy scheduling and management strategies. The system architecture design includes infrastructure layer, communication transmission layer, power storage technology and energy management module. The study uses a variety of power storage technologies, such as lithium batteries, supercapacitors and fuel cells, combined with photovoltaic and wind power generation technologies to achieve efficient energy collection, storage and dispatch. In the simulation test, the real-time performance, robustness and energy utilization improvement of the system are verified through the optimization strategy. Especially in low resource environments, the optimization strategy shows significant advantages. Finally, this paper verifies the applicability of the simulator under normal load, peak load and emergency conditions through simulations of different load scenarios, and discusses future optimization directions. The experimental results show that under normal load (scenario 1), when the optimal strategy is adopted, the real-time performance of the simulator is maintained at about 92%, the robustness is above 88%, and the energy utilization rate is about 85%. These data verify the adaptability and effectiveness of the simulator under different load conditions.