Improving Resilience Based on Proactive Scheduling Management in Multi-‎energy Carrier ‎Distribution Network Using Microgrids

In recent years, due to the interconnectedness and stress on power distribution and natural gas networks, enhancing the level of resilience against severe natural events such as storms has become crucial and vital. The presence of energy storage systems in microgrids has transformed them into reliable resilience sources in electric energy distribution systems. In this regard, studying the improvement of resilience in distribution networks in the presence of microgrids holds special importance. The objective of this article is to achieve the maximum utilization of available network storage to supply critical and non-critical electrical loads while minimizing the loss of load prior to the occurrence of severe events. To this end, a multi-objective optimization algorithm, namely Ant Colony Optimization, has been employed for proactive scheduling and achieving optimal decisions within consecutive time periods. Simulation results demonstrate that increasing the number of microgrids and expanding energy storage systems in the network not only improves network loadability but also reduces the amount of lost load by 15.27%, thereby increasing the level of resilience.