TY - JOUR
TI - Thermal risk monitoring and optimization strategies for power grid project clusters in the context of energy internet
AU - Ma Li
AU - Zhou Ming
AU - Zhang Tongyan
AU - Wu Qiang
AU - Zhou Li
AU - Cai Jie
AU - Li Zhiwei
AU - Zhou Yingbo
AU - Liao Xiaohong
AU - Shu Sirui
JN - Thermal Science
PY - 2026
VL - 30
IS - 1
SP - 135
EP - 143
PT - Article
AB - With the acceleration of global energy transformation, thermal risk issues in  power grid project clusters under the context of Energy Internet have become  prominent. This paper addresses this issue by constructing a multi-source  data fusion thermal risk monitoring model. Using the COMSOL Multiphysics  6.0 platform, four 72 hours simulation scenarios were designed for a 110 kV  power grid cluster in an industrial park, consisting of two main substations  and eight 10 kV feeders. Simulation results show that in the extreme high  temperature scenario (Scenario 3), the top oil temperature of the main  transformer reached a peak of 89.3°C, a 22.7°C increase compared to the  normal operating condition (Scenario 1), and the average cluster thermal  risk index (TRIcluster) was 0.68. In the load sudden change scenario  (Scenario 2), the cable joint temperature rose by 18.5°C within 15 minutes,  with the maximum single-device thermal risk index (TRImax) being 0.91. In  the equipment aging scenario (Scenario 4), the TRIcluster fluctuation  increased by 42% compared to Scenario 1. The calculated values and  simulation results agree 91.3%, validating the model's effectiveness.  Finally, a cluster collaborative dynamic optimization strategy is proposed  to enhance the thermal security defense capabilities of the Energy Internet.
DO - 10.2298/TSCI2601135M
ER -