Resilience-driven optimal sizing and pre-positioning of mobile energy
Recently, research efforts across the world have been focusing on the optimal sizing and pre-positioning problems of distributed energy resources for networked microgrids.
Establishing a pre-positioning method for mobile energy storage systems. Modeling flexible resources and analyzing their supply capabilities. Coordinating the operation of mobile energy storage systems with other flexible resources. Enhancing the resilience of the distribution network through bi-level optimization.
Optimal sizing and pre-positioning of mobile energy storage units are considered. A decentralized control approach based on a consensus algorithm is developed. Internal uncertainties and external contingencies are considered. A linearized AC optimal power flow capturing network and technical constraints is utilized.
It is concluded that mobile energy storage systems can be more effective for load restoration than static energy storage systems when extreme events occur, while capacities of mobile energy storage systems increase when larger attack budgets are considered.
Distributed energy resources, especially mobile energy storage systems (MESS), play a crucial role in enhancing the resilience of electrical distribution networks. However, research is lacking on pre-positioning of MESS to enhance resilience, efficiency and electrical resource utilization in post-disaster operations.
Recently, research efforts across the world have been focusing on the optimal sizing and pre-positioning problems of distributed energy resources for networked microgrids.
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1. Introduction. In order to mitigate the current global energy demand and environmental challenges associated with the use of fossil fuels, there is a need for better energy alternatives and robust
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